The Ultimate Google Analytics 4 Course - Complete Guide 2025

1. Introduction Video: Hi, guys. Welcome to my course, Google and Analytics, Masterclass, all features and benefits. My name is an Moye Komadas. Just to give you a background about myself, I have been an Google employee and have been working into PPC advertising for more than 15 years now. And I have been teaching this to a lot of young professionals, entrepreneurs, and experts who want to get into this field. I've been teaching for more than ten years where I teach into advertising and other stuff related to it. I wanted to take this opportunity today to let you know what we are going to cover for in this course. We're going to look at starting off with understanding the Google analytics, basics, and how to set up Google Analytics. Then we look at analyzing the data, so what kind of data is being shown, and looking at how we are looking at the traffic. What all things are coming from the data that we get to understand here. Goal setting and tracking would be around understanding conversions, event creations, how we can do it on the platform. Then we will get into analyzing traffic volume, what kind of traffic is coming, how much volume it is coming from different sources of traffic traffic relevance. So what kind of traffic is coming, from which demographics, from sources, are we looking at? The difference between sources and medium? That is what we are going to cover here. And then we move to traffic engagement, which is majorly around understanding the how engaging the traffic on our website, how much time are they spending on the website? Okay? All of that will be covered here. And then we get into sustainability, which is basically looking at what can we do to make the traffic remain on the website for a longer period of time. Then when we get into understanding the meaningful trapping, we will look at attribution models, we will look at custom events, which we can create here. We will also look at how to build out data modeling. We can do in data in GAO data modeling for e commerce websites, for non standard websites, we will see that. And then we will get into looking at different types of reports, which we can create custom reports, and also data studio understanding will be given here. I will also take you through the complete implementation of looking at how we can use GA four with Google Tag Manager, creating different data layers, and how we can integrate both of them. And then we will look at user data behavior, data designing, opportunities, which we can create here in Google Analytics. Also, the other aspect of it will be looking at implementing e commerce and monetization reports in Google Analytics will also be shared with. At the end, we will look at some practical tips, practical scenarios in which Google Analytics can be used in real life business scenarios will be shown to you and how you can implement them. I hope by the end of this course, you understand Google Analytics for in depth in and out very clearly, and you are able to use it in your business, in your client's business very effectively. Thank you so much, guys for listening into this session, and I will see you in the course. Thank you so much. 2. What is Google Analytics and Why Is It Important?: Hi, guys. Welcome to this session. In this session, we'll talk about what is Google Analytics and why is it important? So Google Analytics is a free web analytics survey offered by Google, which helps users and businesses to understand what kind of customers come to their website and interact with them. So with this free tool, you're able to understand what users do on our website. Which sections of the website do they go to? What pages are they looking at? How much time do they spend on the website, from which browsers, from which demographics are they coming to our website? So this tool gives a lot of insights about what really people do or users do on our website. So that is how the analytics tool is being used. It also has a paid version which you can take up as well, which gives you much more detailed insights. Now, for example, let's say I'm running an e commerce business. So in that case, this tool can tell me the number of visitors coming to my website. Where are they coming from? What devices are they using to visit my website? Also, how much time are they spending on my website. So for example, I would know, which are the products are they checking out more. So that gives me an understanding of the market demand. So based on which I can run certain specific campaigns around those products. Now, with respect to why Google Aatics is so much used is it is one of the most popular web analytics tool in the market currently, speaking. So you can say that it's installed on more than 10 million websites. It is used by 64% of the top 500 US retailers, which you have. More than 45% of fortune 500 companies use this tool. So a lot of usage is there, more than 56% of the top 1 million domains are using Google Analytics. So Google Antics is a far popular website, a web analytics service used by majority of businesses across the Internet. If you look at the analytics market, Google Analytics occupies more than 89% of the market share right now, and it has some competitors like, for example, T software, mix panel, and segment, and many more are such there. But there is no comparison with Google Analytics. So that way it is a very important tool for any business business owner to have. The way how we set up Google Analytics tracking is. So here, we're able to track all this data through a specific unique tracking code, which is shared by Google Analytics, which we have to set up on every single page of our website. So we get this code from their account. Once we sign up in the account, a code is generated, which we take and we implement on every single page. This code is a small stript of Java script that runs in the viewer viewers browsers, and from there we get to collect all the data. So that is how we get to see all our users data in our Google Analytics account. The coming videos, I'll show you the process as well, how we can set up this code, and how we can get data user data for our websites as well. I hope this makes sense. You understand now what is Google Analytics and its use case and its importance in any online business. Thank you so much, guys for listening into this session, and I will see you in the next dio. 3. How To Set Up A Google Analytics Account & Install the Tracking Code: Hi, guys. Welcome to this session. In this session, we'll see how we can set up our Google Analytics account and install the code for it so that we can track data from that account. So let's have a look at this guys. What we can do is we can go to the Google Analytics website, which is this one, and we can open an account with them. So for opening an account, we can click on Get Started today. And from here, we can start the account opening process. So the first thing which Google will ask you is to provide a account name. So we can give it a name in this particular manner. We can select all the information about account data sharing settings, and we can click on next where we can give the property name. The property is going to be the website URL or the website, business for which you want to set up the Google Analytics account. We can give that over here. We can choose the country. And then we can give the business details like we can give the industry category first, and then business size and the business objectives. Let's say our business website is about generating leads, so we can select that. And now we can accept the terms and conditions for the analytics account. And this will allow us to sign in and get a process of starting our data collection process. So data collection can happen through three different platforms. One is web, which is website. You have a website and you want to build the analytics for that and collect data from there. Android app through Android Mobile App or through an IOS app. So let's say we're doing it for website. So now here we'll have to provide our websites, URL. So I'll go to my website and we're going to take the URL We can give it a name as well in this particular manner. We have to make sure that the STTPS is not coming up in this, so we can just remove that and create the stream. Once you create the stream, it is going to give us the steps to follow for tag implementation, so you can see view tag instructions so we here. So now, Google has has made this process pretty simple. You have two options. One is, you can install the code yourself. This is the code which is given to us the Google Tag, which you have to take and we have to put put it at the back end of our website on all the pages. That is one. The other option is you can follow their steps over here, which is a code less implementation given and follow these steps to do the same job. So whichever makes your work easier, you can select that. So let's say we are installing the code ourselves, so we can copy it from here. And now I will go to my website's back end admin page. So my website is built on WIC, so we'll go to the IS dashboard right here. And now we can past the code over here. So right now if you see on the website, there is no Google Antics code. So if I look at the extension, you can see over here, it says no tax found, which basically means that this website does not have any Google tad currently. So now we are going to the back end of the website, and we can go to the settings of it. In settings, we can specifically go to advanced settings, custom code, and this is where we can add the code. We can see we have added this particular code, which is given to us ideally speaking. And now we can apply this to all the pages. We can refresh this, and we can simultaneously refresh our website as well. In this particular manner. And now we can see this particular code which is being generated. This is the same account ID, which we saw on the Google Analytics page as well, so we can verify it out here. This measurement ID is now showing up on our website. This is the way guys. You can set up your analytics account and this will be activated. You can go back and you can say next. And we can come back to the home page. So it will now start showing up data. Over here specifically. The data will start reflecting in a while. I hope this makes sense. Now you understand how analytics account set up happens and how you can make use of this information to understand how users are coming to our website and what kind of information they're looking at what pages are they checking out? All that information becomes active on the analytics page. Thank you so much, guys for listening into this session, and I will see you in the next video. D. 4. How To Prevent Inflating Your Traffic Data: Hi, guys. Welcome to this session. In this session, we'll talk about how we can prevent our traffic data to get inflated. A lot of times, what happens is once we have our Google Analytics account built out, we tend to go to our website on a regular basis, and now that traffic also gets added to our traffic data in our Google Analytics account, which we would not want. We would not like our own traffic to be added to our analytics account, because the analytic account is only meant for tracking users data. So for example, let's say, This is our website on which we go on a regular basis to make any changes, and we are visiting the website on a regular basis. What is going to happen is the page visits website visits will get added to our analytics account, which we have set for it. So what we would want is that our specific traffic is not added in the analytics account. Only the user's data, the users traffic is added in that. And this is what we are calling as inflating our traffic data. So what we are going to do is we are going to go ahead and exclude our own IP addresses from the Analytics account so that whenever we visit the website, it is not added to the total traffic, which it is recording. So let's have a look at this guys, how we can do it very easily. So once we are in the Analytics account, we can go to the Admin page, and here specifically, we will go to Data streams. In Data streams, we can go to the Data stream which we have created, and now we can look at configure. And in configure, we can look at specifically define internal traffic. So what we have to do first is, first, we have to define the internal traffic, which we are calling it so. Once we define it, then we are going to exclude it from the account. Okay let's have a look at it, how we can do it. So we're going to go to define internal traffic, and we're going to create this traffic rule. So we are doing it, we'll have to give it a name. This rule can be, let's say, I'm doing it for my particular website. So we can just give the name of the website over here. And this is the internal traffic we are talking about. And what we want to do is, I want to exclude my own IP address. I'm going to say IP address equals, and here we can provide our IP address. We can very easily find an IP address by doing a Google search, and we can say what is my IP. Now Google gives me the IP address which we can take and we can put out here and we create the filter. Now, this particular rule has been created by the name Wakef Once this is done, now we can go back to the Admin once again, and what we want to do is we want to filter this data. We'll go to data filters. In data filters, we're going to create a an internal filter which we're going to create. Again, we can give it a name a fit. And we're going to activate it in this particular manner and we'll create. So this is how the filter has been now created, which is active, and this will just exclude our IP address whenever we visit the website. This same process, you can now replicate for other users of your organization as well, company as well, who would be visiting the website similar like yours. And you can also add them exclude their IP addresses so that their traffic is also not added in the data which we are rep. I hope this makes sense. Now you understand how we can prevent inflating our traffic data and see as accurate data as possible in our Google Analytics account. Thank you so much, guys for listening in to this session, and I will see you in the next video. 5. How To Access The Demo Content: A. Hi. Welcome to this session. In this session, we'll see how we can get an access to the Google Analytics demo account. So usually whenever we start off with our new business and we've set up the Google Analytics account, it mostly will not have much data. So in such a situation, it becomes very important for us to understand how the analytics account works if we can get hold of account with some data. So for that, Google has helped us with providing a demo account of their Google Analytics account for their store. So let's have a look at this guys. So this is our account. As you can see, there is no data on this. Now, Google has gone ahead and They run their own merchandise store, which is this, which is Google Official Merchant shop, where you can buy products of various kinds. As you can see, there are products related to Apparl, lifestyle, stationery collections, shop by brand also is there. So there are various products which they're actually selling on their website. For this, they have created their analytics account, and they have given an access view access of that account to everybody on the Internet. So we can easily get the access of this account. So for that, what we can do is we can go to Google and search for Google and Antics demo account. Which will give us a particular support article, which is this one. And if you read through the article, you can get an access of the demo account also here. If you read through this, you will see the first link, which is Google and Ayt Ford Property. Google Merchants Di Store is the one which we are looking for. So if you click on this, this will open up the Google Analytics account for Google's merchandise shop and with data in that. So now you can see this is a complete account with full data on it, which we can see at this moment, and we'll give you all the information which we want. Now, this is completely a view access, so you can you can go to any section of this account and see the data, understand what's happening in the account in a very easy manner. And this becomes this is a great help. This is a great help which Google has provided with with the help of which you can both th the account like a live account and understand the data, learn the product much better. As you can see, we are going to different sections of the page right now and seeing all the data out here. So now we can go ahead and understand what's happening in the account. We're going to use this account going forward in the coming videos as well to learn about the different features of this Google Analytics account. I hope this makes sense. Now you understand, I hope that how you can get access to the Google Analytics demo account to learn about the product in a more efficient manner. Thank you so much, guys for listening into this session, and I will see you in the next video. T. 6. Google Analytics Dashboard Walkthrough: Hi, guys. Welcome to this session. In this session, we'll do a dashboard walk through of the Google Analysis account. So we'll have a look at the account and we'll do navigation of it and see all the features of it. Once we log into our Google Analytics guys, this is how the account will look like. This is our home page where we get to see data, wherein we can see the number of users, key events, event sessions over here. This is for the last seven days data, which we get to see. So this page shows us how many users have been on the website in the last 30 minutes, so that information also comes in along with the bifurcation done by Country. From country as well, we can see how many users have been there on our website. This data is for the Google merchandise store, which we get as a democa. So we are looking at data for that. Now here we get to see the traffic as well coming directly or organic search, referral paid search. So different types of information around how the traffic is coming from different sources comes up over here. Plus, we can see country wise breakup as well. Country wise, how traffic is coming, how many users are coming from different countries, that information we get to see. And then also, we get to see a little bit of information about on different pages where people are coming and having a look at our website. The majority of the time, what you're going to spend on Google Analytics is going to be on the reports page where you get to see in depth information regarding how it is working for your website. So now we can see there are different sections to it. So this is a snapshot again of showing us users new users average engagement time, how much time on an average people spend on the website. We get to see that total revenue as well, which we can see out here. And then again, the number of users in the last 30 days. So we can see similar data out here. And now if you see, we can also see a real time data. Real time data would be currently, how many users are sitting on the website at this moment. You can see it by devices as well, by audiences, page title and screen time as well that the Google information gives. Also, you can see here as well in the specifically, you can look at the duration spiece as well as in the locations wise, and you can see which areas you're getting users from. If you click on this, then you go further inside it as well to see from specific locations, how many users are coming. The next segment here is life cycle. In life cycle, we have four segments out here. Acquisition is a section, which will give us idea about the different types of traffic which we're acquiring from different sources. So where all we are getting traffic from, what are the different sources of our traffic that we get to see. So here we get to see by country. We can see the direct traffic, which is people who are directly coming to our website. Organic search is people going to Google and finding us there, and then the different sources out here. We can also see here by session, which are the sources by which the website is seen by people. So acquisition basically shows us the traffic sources. Engagement is a segment where it shows how people are engaging with our website. How much time are they spending on the website? Which sections of the website, they're spending time on how much time they're spending on each of the sections of our website. So we can see average engagement time here. We can see by screen as well. So page title as well, how many views every page is getting right now, so that bcation is also given to us. And also user activity over time is also being shown here in the last one day, seven days, 30 days. How has been the user activity that is also being shown here. So engagement is more about how people are engaging with our website. What how much time are they spending on our website? Then comes monetization. Monetization is where if you're a e commerce website, then what kinds of revenue are you generating through your website, when people visit your website? How many products are you selling? W are your top selling products? That kind of information you get here. So you can see total revenue purchase revenue. You can see total purchases so far, first time purchasers information. Then you get to see also the item name, Okay, which products are purchased, the count of it as well. All that is being tracked over here. So we can see this information in the monetization section. And then comes retention. Retention is a section where it shows how many new users are coming, how many returning users are also coming. So how many people are coming back to the website and checking out our products again. Okay. So that kind of information is being shown to us in the retention section. Also, Google has gone ahead and added another section called Search Console, where we can see the Google search queries, the search queries which are triggering are at the website on the Google search result pages, what kind of search queries are happening, which is leading to Google Search clicks impressions happening. That information we get to see out here. We get to see how the traffic is coming by the keyword searches as well in this particular manner. The other sections are going to be user section, which is a user attributes. So user attributes is going to be where we can see now the data by users based on country. So how many users are coming to our website from specific countries by city as well, we can see a breakup out here. And now we can see gender segmentation as well. So users by gender. 51.1% are male users who come to this website and the remaining are female users as we can see here. We can also see users by interest. So people interested in mostly around 6.8 users are those people who are interested in technology and technopils. This way, we can also see the interest category. This can be really useful for running some marketing campaigns where we can target these particular audiences, by affinity audiences, we can target them, or by demographics, also, we can do. You can see this kind of information. In demographics details, you can further see the users data by country out here, as you can see here. And then audiences as well, different types of audiences, which we can find here people who are non purchasers, recently active users, engaged users. So Google does a bifurcation of that and shows us as well in this particular manner, which can be of a lot of use. The last segment of this is tech tech is basically showing us data by what kind of devices people are using to reach our website. So here you will be able to see bifurcation by platform. So 100% of people are coming through web. We can see by operating system as well, 15,000 people approximately are coming through Android operating system, then Macintosh, then windows, IS, and so on and so forth. We can also see by browser. So most of the people are coming through Prom browser, then Spari then edge. We can see by desktop category as well, 46.7% are coming from desktop, and the other segments are mobile and tablet. So we can see this kind of information in the tech site. So this is all is there in the reports part. Then comes explore. Explore or explorations are basically advanced reports which we can create out here. We can build out certain reports and analyze our data in depth as per our requirement. There are various template gallery has been provided with and various predefined reports are here, which you can select from and build your report from scratch, and they can be far more detailed with a lot of insights in it. In the coming videos, I will take you through all of this as well, and we'll see how we can build such reports from scratch. And then last is advertising, where we can see all the advertising campaigns, efforts being shown over here. So we can see what kind of traffic we are getting from the advertising campaigns. We can also see the attribution models, attribution parts, which are being used over here, which is helping us to get those conversions, that revenue which we are generating. So these are all the segments of the Google Analytics account, which we can use out here, as you can see. The last feature is going to be the search where we can search for information as well. You can search for how many new users came in the last p. So you can search in this manner as well and Google can quickly give you some data around that as well. It would be a far more easier and faster way to find out information. So this search bar can also be of great help. Hope this makes sense. Now you understand the overall navigation of the Google Analytics account. We will be going in depth into parts of these in the coming tos. Thank you so much, guys for listening in today's session, and I will see you in the next week. 7. How To Find Out How Much Traffic Your Website Gets: Hi, guys. Welcome to this session. In this session, we'll see how we can find out how much traffic our website is getting through the Google Analytics account. So once you log in to your Google Analytics account, you will be able to come to the home page in this particular manner. And now we can go to the report section where we can find such data. So in the report section specifically, if you go to acquisitions overview, this is where you will get to see data coming in regarding our regular traffic. So now Google shows you users and new users data in this particular manner. So users, this is a data which is being shown for last 28 days. So what we get to see is in the last 28 days, how many users visited our website. Out of which, how many were new users, which you can see as well over here. Usually, the new users number would be lesser than the normal users because new users are the first time visitors of our website. Then we also get to see a real time data about how many users have been through our website in the last 30 days, that data, which also comes to our NCS over here, which you can see. Also we get to see the different sources from where they're coming, they're directly coming to our website or through an organic search, or through referral, how they are visiting our website, through which source are they landing on our website is also what Google Analytics shows us. So we get to see paid search, which is basically Google Ads running, organic social. All these sources also, which we will get to see out here. So this will be the page guys where you will be able to find the traffic coming to our website on a regular basis. So you can sign into your Google Analytics and go through this page to see all the information regarding your website travel. I hope this makes sense. Now you understand how we can find out the traffic coming to our website on the Google Analytics account. Thank you so much, guys for listening into this session, and I will see you in the next wed. 8. How To Find Out What Country Your Traffic Is Coming From: Hi, guys. Welcome to this session. In this session, we'll talk about how we can find out from which country we are getting traffic on our website through the Google Analytics account. So once we log in to our analytics account, and we're on the main home page. We can go to user attributes on the left panel, where we can look at demographics details. So this particular section will give us information about the traffic coming from different countries in this particular manner. So now we can see over here. First, there is a graphical representation of it, so we can see for the last 28 days that what kind of traffic is coming. So as we can see, majority of the traffic coming on the website is a US traffic, which is coming. And then the rest are from the other countries over here. And same is the data, which we get to see out here. So now, Google will also show you in a tablear format, the data as well. Country wise traffic, which we can see out here. We can also see the engagement sessions engagement rate of it as well, and also the total revenue which you are generating from each of the particular countries. So now, looking at the country's data, we can identify which are the winning countries in terms of performance, revenue wise, we can look at it. So dally, whenever we are trying to identify, which are the countries which are working best for us, we should be looking at the data by revenue. So we will be sorting the data by revenue because that will give us the right indicator. Like, for example, if you see over here, the third best country from where we're getting most of the traffic is India. However, if you look at the data over here with respect to revenue, there hasn't been any revenue which has been generated from India as a country. So in that case, it is not a right indicator offer, three countries which is generating revenue for us. Rather, we would say China has been a better country with 915 users, they have been able to generate $716.80. This way, we can identify our good performing countries, and then we can maybe go ahead and build out more campaigns, as well, run ads in those countries more aggressively to sell our products. The other aspect of it is, if you want to see the data, the breakup by City wise, you can do that as well. If you go and click on this plus button and go to geography and do City, then Google will show you a split country wise as well. Now citywise, as well. Now you can compare by city as well, which cities are doing better in terms of performance. Like over here, we can clearly see that New has turned out to be the top performing city out here, which has generated the highest revenue, and the second best is San Jose. This way as well, you can split the data by city and see your best performing cities from this particular data shared with us. Also, what we can see is if you are running a lead generating business, so remember this thing that you might not see a revenue column out here. So in such a case, we'll have to take the judgment, Paul of the best performing countries based on the number of users which we are getting from those particular regions. I hope this makes sense. Now you understand how we can make use of the country specific data, how we can find out what kind of traffic is coming from each of the countries on our website through the Google and AS account. Thank you so much, guys for listening into this session, and I will see you in the next week. 9. How To Find Out What Pages Are The Most Popular On Your Website: Hi, guys. Welcome to this session. In this session, we'll see how to find out which pages are the most popular ones on our website. You can find this out through your Google Analytics account. Once we log in to our analytics account, we can go to the report section guys. In the report section, we have a particular section for engagement. That is where you will find such information. Engagement gives you an idea about how users are engaging with a website. What all pages are they visiting? How much time do they spend on those pages? All those kind of information will be shared here. When you come to engagement, there you have pages and screens. This is where if you go, you will be able to see data in this particular manner. Now we can see all the pages which are there on the website and their respective views users data out here. We can also see the average engagement time, which is the average amount of time users are engaging with our website pages. This gives us a clear idea about which pages are working really well. Like for example, we can see out here if you sort this data, And now we can see that ideally the Google redesign Android Eco Wood Magnet page is driving more engagement and has the highest engagement time. So this way, we can find out the top popular pages which we have on our website. And now we can similarly look at the low performing pages as well by sorting it in other manner. And now we can see the other pages which are also there, which is not getting any engagement at all. So maybe we can go ahead and optimize these pages so that our overall performance and the quality of our pages becomes better. The other aspect of this is, we can also look at the pages which are generating the highest entrance into the websites and also the exits from the website. That way, also we can identify, which are the good and bad pages of the website, and then we can optimize them further. So let's have a look at that as well. For that, specifically, what we can look at is explore. So I explore, you can create an exploration report out here in this particular manner. So let's say this is how the report is going to look like, which will give you a lot of data. Here we're going to customize it as per our requirement. So on the left, here you can give the name of the exploration, what you want to find out. And then you can choose the date range for which you want to create the report segments is where Google is going to segment the data in terms of country, the source of traffic, all of that is being given over here. So maybe you can go ahead and take these or you can remove these as well if you don't require, and add something which is relevant to us. In our case, specifically, what we are looking at is we want to add or you can increase the segment over here, then dimensions are going to be by which you can go ahead and, look at different segments in terms of gender, country, device category, all of that. In our case, what we are looking at is pages. Maybe we can remove these and add pages in place of this. Let's have a look at that dice. We can look at, let's say page title and screen class is what we are looking to add as a data, and then comes metrics. This is where the data will actually show up, so the numbers will be appearing here. What we are looking for is ideally people entering the website and exiting the website. So we can add similar metrics here. We can say entrances. In the same manner, we can also add exits. These two are the metrics which we want to see out here. Now, on the other front, now, as you can see, the data is not changing yet because of the fact that we've added rows over here as city, so we can remove this particular segment and replace it with our own segment, which is page title and screen class. Now we can see this data. We can see this data out here, which is again divided by desktop device categories. This is also something which we would not need. So you can just remove this further. And we can just look at the active. We can look at specifically, we are not looking at active users, but we are looking at entrances and we're looking at exits. So in this particular manner, we are able to go ahead and segment the data, and we can see it in this particular way. Okay. So now clearly, we can see these are the pages for which we can see the highest entrance and exits. So which are the pages where most of the people visit and leave from a website. So we know that is the home page, stationary page, the Google March shop, new Google March Shop. So these are top pages of the website, where most of the traffic is coming to and leaving. Okay. In the same manner, if you go ahead and look at the other way around, then we can see these are the other pages where hardly any traffic is come. So now you can identify these. You can take them aside, optimize them further to make the overall quality of our pages of the website better. I hope this makes sense. You understand now how we can identify our popular pages from our website with the help of our analytics account. Thank you so much, guys for listening into this session, and I will see you in the next video. 10. Learn Who Your Visitors Are - Demographics Reports: Hi, guys. Welcome to this session. In this session, we'll look at what kind of visitors visit our websites through the demographics report, which we get to see on our Google Analytics account. So once we start analyzing our data on Google Analytics, it becomes very important for us to also look at our demographics data as well, which gives us an idea about what kind of users are visiting our website. This can be really helpful then in utilizing that information in our ad campaigns. So let's have a look at this guys. For that, we can go to user section, and in that we can go to user attributes where we can see all this information. So user overview will give us information about we can see users by country by city as well. And then we can also see information by gender interest age also. So this can be of great health. So if you look at users data by gender, the tool will give us information about what kind of traffic is coming from male, gender, female, unknown, as well. So this gives us a clear idea about what kind of information we are seeing out here primarily speaking. Now, the idea is, now with this, we can understand that in this case, specifically, which we are looking at, the male gender, the revenue generated over here has been more compared to the female gender out here. This gives us an idea that possibly we can think of building out producing, adding more mail products on our website. That is one thing which we can do. The second thing which we can do out here is maybe we can run our advertising campaigns, more focused on mail products. Maybe we can increase the budget on our mail campaigns which we are running, and similarly, that can help us grow our revenue in the future. So these are kind of insights which we get from this particular report, which we see out here. In the same manner, If you look at the data by interest. This gives us information about the interest category of the users who are visiting our website. So now we can see the users interest category, what they're interested in. So from this report, what we understand is that the majority of the users have interest in technology or technicals, and they are the highest possibly the revenue generator also out here. So this way, we can see the interest categories. This can again help us in targeting relevant audience through our ad campaigns. So if you're running Facebook ads, Google ads, or Twitter ads, we can make changes, optimize our audience targeting over there based on this information. We can target all our audiences based on this information, which we're getting from the analytics account. Also, we can look at if there are certain audiences which are generating higher revenue. Maybe they can be focused more. We can create a different ad set or an ad brook for those audiences and run ads specifically targeting those particular kind of users. Like, in this case, specifically, if you see the top performing is technology, and then if we look at particularly from revenue standpoint, if we look at the second best is travel and travel buffs. So these two can be the focus area for us, and we can build a lot of audiences around these two on all our campaigns at platforms which we are using right now. So this can be a better use case. The third is which you can make use of out here is the user data, which we get out here. With respect to age. So here, also, what we can see is the tool the platform will give us a bifurcation of the users visiting our website with respect to age category. So we will we can sort this by revenue to understand which age category is the highest revenue generator for us. Like for example, we can see that 25 to 34 generates the highest revenue out here. Okay, which has, like, you can say 3,400 users. However, if you look at the other parts as well, like for example, if you look at 55 to 64, they're around 1,129 users, which is like one third of this. They're producing around $824. Okay? So this way, also, we can see that how many users are generating what kind of revenue? And based on which, again, we can make modifications to our ad platforms, ad targeting, which we are doing. We can make changes to the age categories, which we're targeting on our Google, Microsoft, Facebook or Twitter ads, and that is again, going to help us to target more relevant customers who have higher chances of converting and generating sales for us. I hope this makes sense. Apart from this, the tech part section can also be of utilization for us where we can see data by technology, what kind of platforms people are using who visit our website. So that information we can get here. Like, for example, we can see by device. So we can see that for this website, 46.9% of the users are coming from desktop devices versus mobile and tablet. So in such a case, we can optimize this as well. On our Google platforms, we can optimize by device bit adjustments, where we can increase our bids for desktop and mobile devices as p this data. Now we can target our ads more on these two devices and try to show our adds more there, which has more likelihood of converting. This also can be of great usage for us to utilize such information to increase our sales on our business. I hope this makes sense. You understand now how the demographics data which we get on analytics can be used to grow our business. Thank you so much, guys for listening into this session, and I will see you in the next week. 11. How To Find Out What Sources & Channels Send You The Highest Quality Traffic: Hi, guys. Welcome to this session. In this session, we'll talk about what are the different sources or channels through which we get the best quality traffic coming to our website. So this kind of information is also something which we can get from the Analytics account. This would be really useful because then based on this information, we can optimize our marketing efforts, the kind of marketing which we are using on those particular sources. So let's have a look at this guys. So once you log in to your Google Analytics account, to find this information, we can go to the report section where we can go to acquisitions. I acquisitions specifically, we can look at traffic acquisitions, which is going to give us this information. So now you can see out here, this is how the data will look like, where we can clearly see the different sources of traffic for us, which we can find out here for this website. So let's have a look at this data. So now you can see that there is direct traffic, organic search, direct traffic means, people visiting the website directly. They just straightaway open the website. Organic search is going to be wherein people find our website on Google search results pages. Paid search is going to be where they're finding our website through a paid ad, which they see out there. So from here, we can clearly identify that majority of the traffic, which is coming to the website is coming through direct, which is directly opening the website. And then the second best is organic search. Here, as well, we can see the kind of revenue it is generating. We are looking at the last 28 days data out here. So the highest revenue generator is the direct traffic, which is coming out. Similarly, if you look at for paid search, there hasn't been any revenue, which H has generated out here. The second best is organic search, which basically means possibly our ads, our website shows up on the Google search results more often, and that is why a lot of traffic is coming through there. Maybe we can invest more into our SCO strategies and try to get our SO rankings better. We can optimize our SCO much better and so that it keeps coming on top of the result pages of Google Search engine. The other way to look at this information can be where you can tweak this, range this, and look at by source and medium. So source and medium clearly means that this part is the source. This is the direct source, which means how people are visiting your website, so they're visiting directly by opening your website. And the second part is going to be medium. So it says none, which means that they're directly coming to a website, so that's why Google is referring to it as none. Now let's look at this one. Here the source is Google, which means people are coming to Google specifically, and the medium through which they're finding our website is organic, which means they're finding our website in the organic search results. Another example is you can see here wherein people are the source is Google, which means people are finding our website through Google, they come to google.com, and there the medium through which they find our website is CPC, which is a Google Ad. So this is how also you can find out the information of the kind of traffic or source which is coming to our website. This kind of information can be really useful because then we can optimize our campaigns accordingly. So here, as well, we can see there are other search engines like BIDU as well through organic search results, as well. A lot of customers are coming to our website in this particular manner, so we can find that information as well. So this gives us an idea that there are other search engines as well on which our website is opening. So just to give you a demo of how direct will be happening. So this is the website which people would come to directly, and they can just type the website URL and search for it and open the website directly. They're not going to the web to Google to search for the website. So that is what they mean by direct or none. Now here, we can see different data over here, so we can see the number of sessions, which is the that began on the site, which we can get to see, engaged sessions are number of sessions that lasted more than 10 seconds or had a key event or had two or more screen or page views. So like this, a lot of data is being given to us, average engagement time. So you can see on an average on these pages through these sources, how much time on an average people spend on our website engage with us. Like for example, if we sort this out in descending order, we can see now So here we can see that from Yahoo, also people are visiting our website, very few users, but there are people who are visiting website through organic search results, and they are spending the maximum amount of time, second largest amount of time, which is 1 minute, 39 seconds. This is the average amount of time users are spending on our website, that also information, which we can get to see. And then there are other metrics like events per second. How many events, average number of events per session is happening, engaged sessions per user data, which you can see out here. So this information becomes quite useful for us to identify our beneficial traffic sources for our website, for our business, and based on which we can customize or optimize our marketing efforts towards them. I hope this makes sense. You understand now how to find out your most profitable sources of traffic for your website. Thank you so much, guys for listening into this session, and I will see you in the next week. 12. Real Time Reports - How To Measure Marketing Performances Live: Hi, guys. Welcome to this session. In this session, we'll look at the real time reports and see the data to understand how we can measure our marketing efforts based on it. So once we log into our analytics account, we can find the real time data from the report section. The second option is real time. This is where we can see real time data as we can see users data for in the last 30 minutes. So this GivesP are a lot of insights about how users are visiting and what they're doing real time at this moment, where are they visiting us from? Like for example, here we can see a bifurcation by devices where we can understand that 60% of the users are coming from desktop, and the remaining 20% each is coming from mobile and tablet. Now how we can make use of this data is, let's say we are running an e mail marketing campaign. There is a sale which is coming up on our website, and we send out an e mail blast to all our email subscribers. And now in that, we talk about, let's say that we are doing a particular big sale for the particular Google Merch shop. So in that case, we would expect that there should be a higher jump in this particular page with the user trap. So once we sent out the e mail campaign, after that, there should be a spike in the number of users which we should see in this particular section, which is a Google Merch shop. Similarly, if suppose there are different locations which we have added where we are providing service to now, then also the number of traffic by audience by location should also increase out here, which we should be able to identify. If we are not seeing any spike in the pages specifically, then we can consider it that there is some mistakes, some issue with it. Possibly, we can look at the page itself, or we can look at our e mail marketing campaign, URLs, what the links are provided in the correct manner or not. So the real time data can help us understand whatever efforts we are taking right now, how they are reflecting on the account. Through this particular page, we can identify that. Also, you can see the users by source here as well. So Direct would mean that people who are directly opening the website. And similarly, this particular section will tell us about people visiting us through Google Search or through a Google ad PPC CPC ad, which they're looking at or a referral. So that way as well, you can customize your marketing efforts over there. I suppose we are seeing a huge influx of traffic coming from Google Search, which is organic, in that case, we can invest more into the SCO strategies and try to make that further more better. Which means that for our kind of a business, the SCO strategies are working better than any other marketing efforts which we are taking. So this real time data really helps us to understand the current state of our website and how people are interacting with our website at the real time. I hope this makes sense. You understand now how we can make use of this real time data in improving our business performance. Thank you so much, guys for listening into this session, and I'll see you in the next radio. 13. Analyzing DAU, WAU and MAU: Hi, guys. Welcome to this session. In this session, we'll talk about analyzing DAU and MAU data, which we get to see on our Google Analytics account. So analyzing users sickness is another important thing to understand. So when people start coming to our website, how many people are retaining on our website and come back to our website on regular basis is also an important data to analyze. And that is what we mean by using these specific metrics, which we're looking at. This would really help us to understand how useful users find our content and how much value are we able to add value to them. So there are certain metrics around users sickness, which Google calculates, which is around daily active users, which is DAU, which is the number of active users coming to our website in the last 20 40 hours. Similarly, we have weekly active users, which is the number of active users coming to our website in the last seven days, and then monthly active users, which is the number of active users coming to our website in the last 30 days. So this is the metric which Google Aalyts automatically calculates and shares it with us. They also calculate certain ratios, which is around daily active users versus monthly active users or daily active users versus weekly active users, and weekly active users versus monthly active users. So this kind of information gives us an idea about how stickiness, how our website is much more user, stickiness is there, and people are retaining on our website on a regular basis. So let's have a look at this guys on the analytics platform where we can find this information. So once we log in to our account, we can go to the engagement section where we can see this particular data. So engagement section shows us how users are engaging with our website. So on this page specifically, you can see user stickiness data out here. So this is where Google calculates your DAU by MAU, DAU by WAU and WAU by MAU data out here. It, a good pattern is going to be wherein the first metric as it grows increases over the period of time. That is a good idea, good representation that our website has a good user stickiness. So if you see a drop in a particular number, like in this case, specifically, we can see that during the month of April, first, WAU by MAU had a significant drop. So then we can go back and look into the website and understand during that period, what exactly would have happened which led to this kind of drop, which we see. On the other hand, during the same period, we can see the A WAU data had a spike of 42.1%. So we can go ahead and analyze this particular time period to understand why there is a difference in numbers in this particular. So this data clearly gives us an idea about how people are coming back to our website, retaining how much we are able to retain our users on our website and how user stickness is the degree of user sickness is for our websites. I hope this makes sense. You understand these metrics now and how you can make use of this in your business. Thank you so much guys for listening into this session, and I will see you in the next wed. 14. Events and Conversions: I, guys, welcome to this session. In this session, we talked about events and conversions. So these are two different metrics which you can set up on the Google Analytics account. So events are going to be specific triggers or ways by which users interact with our website or app. So this can be any kind of interactions. So this can be where people are clicking on particular button or selecting a particular signing up for a newsletter, or let's say they're going ahead and selecting some radio buttons on the website. So these are going to be triggers which are happening on the website. Now, when you set up your Google Analytics account, automatically Google goes a and build some events for us in the account generated over there, which we can use as well. They are very different from conversions. So let's have a look at this dys. Once we are inside the analytics account, and we can go to engagement, where we can find events. This is where you will find all the events which are automatically generated and created by you. Now you can see these are the events which we get to see out here, ideally speaking. And now you can see the other metrics related to these events as well like event count, total user, stuff. Other than this, you can also pin the events data when you go to Admin and you go to events over here as well, like here, you will get the same information again out here. This is going to be the events data, which is basically different types of interactions which users do on our website. It can be a click. It can be filling up a form. Page view. All these can be various kinds of events. On the other hand, what we have is conversions. Conversions is going to be a kind of an activity done by the user, which contributes towards the success of the website. Now, this can be of various types again. Now, for example, for an e commerce business, purchase on the website is something which will contribute to their success. Similarly, a legion website, a form fill up can be a similar conversion, and similarly, there can be a click on a phone number can also be considered as a conversion. So these are going to be actual conversions or sales, or you can say activities, which contributes or which adds to this real success of the business. Now, that can be a purchase form filler Cora click on the phone number. So that's also something which you can define. So now the events which you have created, you can figure out which ones do you want to be marked as a conversion, and you can use them to track conversions over here. Like for example, in case of click, we are not going to use that as a conversion because obviously, we don't want every click on the page is counted as a conversion for us. We only would want maybe a form submit can be a conversion. Purchase can be a conversion, which are actual real contribution to the success of the website. So that way, we can look at conversions out here. So what we are clearly saying is a conversion should be something which is adding a actual value to the business rather than only interactions happening between users and the website. I hope this makes sense. You understand now the difference between events and conversions. Thank you so much, guys for listening into this session, and I will see you in the next video. 15. How To Track Form Submissions: Hi, guys. Welcome to this session. In this session, we'll see how we can track our form submissions for our website through a Google Analytics account. So we can set it up on analytics as well. So once we log in to our account, guys, we can specifically go to the admin section where we can find this information. So what we are going to do is, we are going to find out the particular measurement ID, the analytics ID for our specific website. So we are here on the particular data stream which we have created. So we can take our measurement ID from here, we can copy it. And this is what we are going to paste at the back end of our website. Which will help us to set up the tracking mechanism. So this is my website, guys, which I've created on VIX, for which we are going to do it. So I'm going to go to the admin of this website, which is out here. Now, currently, if you see on this website, there is no code as such, which is set up right now. So we can see it through this particular tag assistant extension, which says no tax found. So now we're going to do it for this website. So once we have pocketed the measurement ID from the analytics account, we can go to our admin of our ICs account and we can go to settings. In settings, specifically, we are going to go to marketing integration. We are going to integrate it with Google Analytics. We're going to link this to Google Analytics specifically to set up the code. You can see here, we can connect and we can add the Google Analytics ID right here. Once we paste this, you can say it says you connected Google Analytics to your site, so we can test this as well now, and we can see for ourselves. We can see now, this is the ID which is being shown out here. This is the same ID which we had copied from the analytics act. Now that this is done, we can also do a test for form submission. Let's do that. So I have a form on my website right now. We can fill this up. And submit this. Once we submit this. Again, this will fire some tags, in which, again, we can see the tag ID coming up out here. We can see the global site tag out here coming up easily, which is we can see in this particular manner. Once this has happened, this so also reflect in the analytics account. Let's go back to the analytics account and we can go to the report section to see this ourselves. If you go to real time data, you will see the same thing happening. We can see the event. We have generated lead, which is showing up over here as two counts which are appearing out here. Secondly, we can see the thank you page loaded. Also. We went to the first page as well and the thank you page got loaded here as well, which got recorded. So in this manner, we can verify that we have now set up the form submission tracking on our website through the Google Analytics account. I hope this makes sense. There are other ways as well. You can do the same thing through Google Tag Manager as well, and you can set up the form submission tracking through that also. I hope this makes sense. You understand the complete process, how you can do it through Google Analytics. Thank you so much, guys for listening into this session, and I will see you in the next week. 16. How To Track Results From Specific Marketing Activities: Hi, guys. Welcome to this session. In this session, we'll see how we can track results from specific marketing efforts, which we have taken for our businesses. So once we log into our Google Analytics, the analytics data shows us the different types of traffic which is coming through different sources. So when we go into, let's say, acquisition, we can go to traffic acquisition, and this play specific section shows us the traffic which is coming through different sources. So we can see direct organic searches as well. Let's say paid search also, so we can see this. We can also see this data by source and medium. We can divide that also, and we can understand that as well. However, what we really don't get to see as an information is that for the marketing efforts which we've taken. Let's say we're running some ad campaigns. We're running e mail marketing campaigns. So through them, what kind of traffic is coming. That is also something which we would like to track. So for that, what we can do is we can take a different approach. Let's say, we're running a particular business where we have sent out an e mail marketing to e to our marketing list regarding some best selling yoga mats, which we are selling right now. Let's say this is the website, for which we have sent out an e mail to all our e mail subscribers. Now, we want to see because of that e mail which we had sent out, how much traffic it brought to our website. So for doing so, we'll have to go a end first builder, campaign URL builder. A campaign URL builder basically will help you to track specific traffic coming from specific marketing initiatives which we have taken. So here, you're going to fill up all the details out here in this particular manner. So wherein the first thing which you do is you put in the URL of the page where you want to build traffic. So this is the page where we want to build the traffic, so we can take this URL and put it out here. Then we can name the campaign source. Since we are doing an e mail marketing, and we want to track an e mail marketing effort. So let's say our e mail marketing is set up on mail chim, so we can give the source as mail chim. And then we can say the medium is e mail. And let's say the campaign which I'm focusing on today is best selling yoga mats. I'm keeping it as best selling. So once you fill in all these details, automatically, a particular URL is generated by this particular tool. So now, this is the pool or the URL, which will track all the traffic coming through e mail marketing effort which we have taken. So you can now shorten it. You can just shorten it, and then you can post it on your Facebook page, Instagram page, Twitter page so that people click on it and they can visit your website. When they do so, that traffic gets tracked inside the Analytics, and we are able to see it clearly. So we can shorten it up so we can say There are two ways of doing it. One is, obviously, in the tool itself, there is a shortening link given, so you can sign up for this particular tool bitly, and then you can shorten this link. That is one way. The other thing is you can go and do it in this manner as well, where you can put the URL and you can get a shortening link for it. Once you get the URN, you can copy it and go to your Facebook page, where you can post about it. So in this manner, you can post about it, and then people will be able to see it, and then they can come to your website. So this way, guys, we are able to track different types of marketing initiatives which we can take, and then we can track it in our Google Analytics account. So it gives us a clear idea of how successful those that effort was and should be optimizing it going forward or not. I hope this makes sense. You understand now how to track different types of marketing efforts on Google Analytics. Thank you so much guys for listening into this session, and I will see you in the next video. 17. Campaign Tracking: Yes. Welcome to this session. In this session, we'll talk about the campaign tracking, which we can do for Google Analytics. So campaign tracking is basically when we start building our website and we get traffic from different campaigns. So campaigns can be different sources through which our traffic is coming, which can be through newsletters. It can be through paid search, TV ads, display ads, we're running e mail marketing. So there can be different sources through which traffic is coming, which are referred to as campaigns. So now in Google Analytics, you can track these campaigns through campaign parameters. So, if you're doing it throughGoogle Ads, Google ads is linked to Google Analytics separately through auto tagging, so it does not require in campaign parameters. But for the other types of mediums, which we can track these campaigns through campaign parameters. So for example, when we want to let say instead of sending our user to our website, which is, let's say mysite.com, we would like to send the user to the particular site where we add the specific parameters. So you can add up to five parameters out here. Now, usually, these can be the different parameters, which we can add in this particular format. Let's have a look at this. Now, these parameters are the first one, the required parameter is going to be UTM source. And then the other optional ones are UTM medium UTM campaign, we can have UTM content and UTuM term. So let's have a look at what are these specifically. UTM medium is going to be one which identifies the medium of the campaign. Through which medium is the user coming? Are they coming through e mail, PPC ads, are they coming through display ads? Whatever makes sense for our campaign, that is what we are going to define in this particular format. UTM source is going to be the source of the campaign. Main particular source, are they coming through an MSN or newsletter it is? What is the specific source through which they are coming dally that we can define out here. A good example of both of these can be a source can be Google, wherein the medium is organic, or the source can be again Google, but then the medium is paid a. That way we can define our medium and source. Then comes the campaign. In the campaign section, we can talk about what type of campaign are we ring? Let's say we're doing a summer promotion or a big sale day happening, that can be defined out here. And then the content as well. So let's say we are doing e mail marketing, and in that, we want to send out an e mail marketing for summer promotion. Wherein in one e mail marketing, we don't want to do any promotion, and the other one, we want to send a promo Poupon. We can have two different types of e URLs, which can be created out here. Wherein one has no promo, and the other one has a promo tag attached to it. This way, we can do a lot of AB testing as well to understand and track what is working best for us. There you can define. Here you can define your UTM content. And then the last is UTum term, which is where we identify the keywords used in the campaign. This is usually used for paid ad campaigns, wherein we can define the UTum terms. So let's say we are using a UTum term, which is analytics tools. So then we can define that as well. Few things which we need to take care of while defining these parameters is, these are case sensitive. For example, if I write summer proportion with S with the initial letters in capitals, it is going to be different from some promotion written completely in lower case. Google will define that in two as two different words. Make sure case sensitiveness is taken care of. We are standardized across the whole setup. Second is, we prefer not using spaces between two words. If we really want to use it, then ideally it should be replaced by percentage 20, which is ideally how it is defined internally, or else we can replace them with an underscore or a hyphen, as you can see with the examples out here. This would make the implementation much more simpler and seamless and it will give the write out. The last thing, what we're going to do is in the next video, where we'll see how we can make these parameters through a tool provided by Google Analytics, which is campaign URL Builder. This simple tool can quickly help in building out these parameters, setting up these parameters, and creating the URL for us. I hope this makes sense. I hope you understand now how campaign tracking happens on analytics. Thank you so much, guys for listening into this session, and I will see you in the next video. 18. Campaign URL Builder: Welcome to this session. In this session, we'll see how we can make use of the campaign URL builder tool. This tool is used for tracking customer parameters data through our campaign URLs, which we are using in Google Analytics. So let's have a look at this. So you can search for campaign URL builder on Google, and this is what the URL link, which you'll get from them, which you can access and come to the website. So this is where we are going to build out the URL for us. Okay. So as you can see, these are details which we have to fill in. And once we fill this in, Automatically the campaign URL gets created. Okay. So the first thing which we have to provide is the full complete website URL for which we are building it. So starting with STTPS, we have to give the complete URL out here. Then we can also provide our ads campaign ID, if we have any, which we can provide out here. Campaign source, let's say this is going to be an e mail marketing, which we are going to do, and this is a newsletter we are sending out so we can mention that over here. And then the campaign medium is through e mail. We can give a name to the campaign. Let's say, this is a spring sale, which is happening, so we can mention in this manner. What is suggested as a best practice is that we don't leave any space between two words out here. It would be a good idea that we can use an exclamation, a hyphen or underscore out here as you can see. These other details which are mandatory guys. As you can see, the ones which are in Asterix has to be filled in, and then the URL gets created. This is the URL, the campaign URL, which has been created now, which we can copy, and then we can use it in our e mail marketing campaign. The other option is, you can also go ahead and shorten this e mail as well if you want to do that. So you can shorten that as well. From here. You can sign in and you can shorten the particular URL and use that also in the same manner. I hope this makes sense. You understand now how we can go ahead and make use of this tool I rely to create a campaign URL so that we can track and we can easily add any campaign parameters to our URLs so that we can measure the performance in our Google Analytics account. Thank you so much, guys for listening into this session, and I will see you in the next. 19. Retention Reports: Hi, guys. Welcome to this session. In this session, we'll see how we can make use of the retention reports in Google Analytics. So once we log in to our account, when we go to report section under Life cycle, the fourth option is retention. So here we can see the retention reports, ideally speaking. Retention report, the first card which you see over here shows us new users and returning users data. So new users are those people who are coming to our website for the first time. So that is the data, which we can see out here in this particular manner on a daily basis. How has been the trend of it? Whereas, returning users are those people who are coming back to our website after being to our website in the first book. So these are going to be the number of returning users which we are talking about. So I believe what a good indicator of this would be that if we have a high number of returning users, that gives an idea that our website is providing great value and creating a good user experience. We calculate our retention percentage by looking at our returning users and dividing it by the number of new users which we are getting. So we always strive to have a high number of returning users as much as we can. The other aspect of it is user retention by cohort. So here, what you get to see is you can see the retention data by cohort. So a group of people for that, for day one versus day seven, we can see out here. So as you can see over here, for day one, specifically, 5% of the users are coming up over here specifically are getting retained after day zero, and by day seven, that is dropping to 1.4. This is how we can say that again, on this particular website, the retention is not that great in the first week. By the end of the first week, the retention drops drastically, and there is hardly anybody who is coming to our website after a week. This is a group level data, which we get to see Then we can see user engagement as well. User engagement is basically giving us an idea about how the users are engaging, how much time are they spending on the website on day one versus day seven. So you here as well, we can see that for day one, the average is around 2 minutes odd. But then when we see day seven, that drops to less than 30 seconds. So this again gives the same indicator that chances are that by the time it's a week, people don't visit our website or spend very less time on the website. In addition to this, there are some spikes, as you can notice over here, which we get to see. These can possibly happen through various marketing channels. It can be because of a e mail marketing which might have been done, which leads to such spike and surge in users coming to our website on a specific day. Also, you can see now the user retention over here, which is on day zero, there were 100% users coming to the website. But the moment we come to day one that drops to 3.6. So we can say that out of 100 maybe three or four people come back on day two on day one, and that number further reduces as we move forward. This is again, telling us the same story that this particular website for which we're seeing data, the retention is not that great after a week. You can see the user engagement here as well. What has been the user engagement over a period of time. So what we see is that it continues to be like 1-2 minutes old is what we are seeing out here. And then lastly, we can see the lifetime value. Lifetime value is what kind of value the users are able to provide throughout the lifetime on the website. So now we can see that information as well in this particular man. So these are all the information guys, which we can see on the retention reports, and that can give us an idea about how well are we able to retain our users, who visit our website for the first time. I hope this makes sense. You understand now how retention reports work. Thank you so much, guys for listening into this session. And I will see you in the next video. T. 20. Lets Analyze Beginner Traffic Data: Hi, eyes. Welcome to this session. In this session, we'll start looking at the beginner data, the Bginer traffic which comes to our website on a regular basis. So let's have a look at this guys. So once we go into our analytics account, we can start looking at the report section where we get to analyze a lot of traffic, the bginer traffic, which comes to our website. So this you can find in the acquisition section where we can come to overview. So we're going to primarily focus on the first card which we see out here, which is users and new users data. So what we are seeing out here specifically is going to be data which is being given to us, where they talk about users and new users. Users are those people for the time period which you have selected. It will show you how many users visited the website. So this is how we can see the numbers. We can see how many people visited the website on a regular basis from this users section. So for this website, we can say in the last 28 days, 43,000 odd users visited the website. Similarly, what we also have is a new users data. So new users data is basically the users who visited the website for the first time. So this is so we can say that out of the 43,000 which visited the website, there were 40,000 who were new visitors who came to the website for the first time. So this is how the Google Analytistic data will be showcased to us in this particular manner. Now, you can see this data in different format also. From this, as you can see, we are looking at the last 30 days data, so it does not give us a certain pattern over here as such. But if you go ahead and increase the time period, let's say, we're looking at the last 12 months data. Then possibly we can see some kind of a pattern over here. Now, if you see, what we get to understand over here is this is the number of users which we are seeing on a last 12 months period, and we can do it in the same manner for last 90 days as well. And we can see the data in this particular manner. So the idea is that we can understand from this that this particular section just gives us information about how many users are visiting our website. So in that, how many are new users as well visiting our website for the first time. So this is our bigness traffic data, which Analytics shows us on a regular basis. I hope this makes sense. You understand how to interpret this data and how you can make use of this in your business. Thank you so much guys for listening into this session, and I will see you in the next week. T. 21. Where are Your Users Coming From: Hi, guys. Welcome to this session. In this session, we'll talk about analyzing how our users are coming to our website. So we can see this data in our analytics account. So when we go into reports, we can specifically find such information in the acquisitions section. So if you come to acquisition and you come to user acquisition, the tool will give us an idea about how from which sources, traffic sources, medium people are visiting our website. Here we get to see a bar graph like this, a graph chart over here. And now you can see the data in this particular manner. Where we get a clear idea about what kind of users, how many users are coming to our website, and from what traffic sources are they coming. So there are various sources by which Google defines it where we can see the data. Like for example, direct means, these are those users who are opening our website directly. They are not searching for it on any search engine or through a social network. They are simply going to the browser and typing the websites URL and visiting our website directly from there. Organic search is going to be where people find our website on a search result of a search engine, and they click on it and come from there. Referral can be where people have they've seen the referral link of our website on some website and they clicked on that and visited our website. Similarly, page search is through ads. If they see any of our Google ads and they click on it, and then they visit a website, that would be called as page search. In this manner, Google defines the different traffic sources. Now, if you go dig deeper into this, we can also subdivide this by source and medium, which will give you much more clearer idea. So now you can see direct is the source. So they're coming directly by visiting our website, and medium is none, which means these are specifically users coming to our website directly. Organic Google organic is Google is the source and medium is organic, which is organic search results. Similarly, Google is the medium, CPC is the ads. By do is the search source search engine, and they're coming through organic medium, which is organic search results. This becomes a little bit more easier to understand the source of our traffic and the medium they are using to visit our website. Now, if you look at the data as well, so here as well, we get a lot of information. Like for example, for specific days, we can understand what kind of traffic came from, what all sources? Like if you're looking at this, we're looking at let's say 17th April, on 17th April, we got like 2,399 users coming directly to our website. On the same day itself, 299 came from organic, which is they found our website on Google Search. Similarly, we can see Google CPC through ads, four users came. Also on BI two specifically on organic search. We found 13 users coming from there. This on a per day basis as well, you can see a lot of idea about what kind of users are coming through which all sources. This gives good information about understanding what could be the reasons for it. We can analyze for that particular day, was there any particular sale going on a big sale day happening, any specific coupon codes, which were live for 24 hours, which could have led to such kind of traffic coming to our websites. Now, if you look at a long term period data, let's say we are starting from looking at February last year till now. Then also, we can see similar kind of information in this particular manner. Which we can see. Now, the data will give us a clear idea about the spikes which are happening. So now we can see here, usually what we are seeing is, majority of the users which are coming to the website is in the range of 2000 close to 2000 odd users on a regular basis visit the website. However, on a particular day, which we can say 27 September where there was a spike. So now we can look at this time period and analyze what could be the reasons behind the spike happening during September last year, which led to so many users visit our website. So then we can go back and see during that period, any marketing campaigns, any sales, any coupon, any events which were conducted, which led to this spike in the traffic. The other information is, if you look at the overall traffic, over a period of time, as a good business indicator, what we would want is that our Traffic should be generally increasing. So if you see here for this particular website, which we are looking at, what we see is the traffic has been has not been a steady growth. However, there have been ups and downs in the last one year. So the traffic ranges between 2000 and it saw a little bump increase during the September, October, November period. And there again, it came down to less than less than 1,500 as well, and staying around again, the 2000 ma. So that way we can say that the website has not grown. The traffic has not grown on the website in the last one year. And this is not a good indicator of the growth of the business. I believe what we would want is that the websites traffic should gradually grow month over month. And that is a good indicator that people are coming back, possibly. There are new customers who are visiting us on a regular basis, and we're able to retain our old customers as well. So that's a good indicator of the business going in the right direction. If this is the case, then we need to go back and think through the website and understand what is making this happen, why we are losing customers or users on a monthly basis. Maybe we need to optimize our landing pages. Maybe we need to look at the books or the coupon codes, discounts, offers which we're giving to make it more appealing, eye catching and convincing enough so that users come to the website on a regular basis and check out our products and services. I hope this makes sense. You understand now why it is important to analyze the user traffic, which is coming through different sources to our website. This would really help you to understand what is going on with the website and how you can optimize it to make it better in the future. Thank you so much, guys for listening into this session, and I will see you in the next video. 22. Demographics Of Your Target Audience: A s. Welcome to this session. In this session, we'll discuss about the demographics of the users which are reaching our website. So people who visit our website, we want to analyze the kind of demographics they're coming from, and that can really help us improve our business and grow our business as well. So let's have a look at this. Once we are in the analytics account, we can understand the demographics data by going to user attributes. Here, if you go to overview page, you will get information about the demographics information of the users. So here we can see the users data by country. Now you can see in this card the traffic which is coming to our website. Divided by country. For each country, what kind of traffic is coming to our website can be seen out here. Now, this can be an important information because when we are running our business, we want to make sure the places where we are delivering, we're providing the service for matches with this data as well. It should not be a case that if your business is specifically for a particular country, but you're getting traffic from other locations as well. That can be something which we would like to monitor and check as well. Similarly, if you are a local business, and you are seeing the data, you can see data by city as well, where it gives you a breakup of all the cities over here. Here, also, the same concept applies. Majority of the time, if we are delivering in all these locations, providing our services in these cities, then it is absolutely fine. But in case there are certain locations or cities which are not serviceable for you for whatever reasons, then that should not be a ideal traffic for us because that can create a lot of discomfort for people. Maybe for such situations, we can make some changes or modifications on the website. So maybe on the website, we can clearly mention the locations, the country or cities which we are providing service for. So that people, if anybody who is visiting the website outside those areas, uh, they get to notice it and they don't move forward and don't do interactions or business with us. That way you can create a better user experience. The other information which we get here is users data by gender. Here as well, Google gives you a bifurcation of, what is the gender division in terms of users coming to our website? If our business is more inclined towards, let's say, male products. In that case, ideally, this percentage be the higher percentage sould be male versus the female. If it is a case that you don't see that information, if it is a case that you see lesser percentage of male over there. Then again, we need to dig deeper and understanding why this would be happening. The other information is very important, which you can really make use of is going to be users by interest. Also, in all of these scenarios which we are looking at, looking at the data by country or city, by gender. You can also customize your marketing efforts. If you're running Google meta ads, over there as well, you see there are certain locations from where you're getting higher traffic, maybe we can run some ads targeting those locations more aggressively because it looks like that people from that area prefers your products more. In such a case, it makes more sense to reach out to them as much as we can. Similarly, when we look at users data by interest. So this shows us the interest of the traffic which is visiting our website. If you go deeper into this, it will give you a detailed report around all the different types of interest categories these users are coming from. So you can see now for this website specifically, we can say that the technology or technopil, category, most of the users are are interested in technology. So this way, we can really understand the interest of the users what they are looking for. Now, two things can be done. One is, obviously, we can try to align this, what we are selling. We can see that are these the kind of products which we are selling also on the website. Ideally, the ideal situation should be that whatever interest categories are shown here should align correctly with our products, which makes sense that it gives an idea that relevant traffic is visiting our website. But in case the interest categories which we see are not at all aligned or connected with what we are selling, then we need to again rethink about what kind of customers are seeing our website. Maybe we are not targeting the right users possibly, and wrong customers or irrelevant users and audiences are seeing our website, are getting to see our website. Maybe we have to then work on that. So that is one effort. The second thing which you can do once you see interest categories of users visiting our website is, again, you can use it in your ads marketable. So you can do a lot of audience targeting in Meta ads and Google Ads as well, where you can target your users based on interest. Now this is a clear data, right. We get to know exactly what interest our users have based on which they're visiting our website. Now I can use this information to build out campaigns, run ads around audience targeting related to these. Then I would like to target people with these kind of interest coming on Google or Mt. This can be a really good useful information. Also here, if you look further, we can see the engagement rates. We can sort the data by engagement rate, which is basically what percentage of the people are engaging with our website, engage sessions which we get to see. So based on which, then we can also understand that, which are the best categories, best interest categories for our website. And we can prioritize on that as well. This, this data can be really useful for us to understand what's happening out there. Other than this, you can also make use of audiences from here, which gives you further more information about all the users So now you can see the data by audiences, which Google has plat all users, people who are visiting the website, non purchasers, recently active users, which we can see. If we click on non purchasers again, You will go deeper into that and you can see who are the no how many non purchasers have been there. Then again, their breakup is also given out here in terms of which devices they came from, which platforms they came from. That information also comes up Oly. So this data can also be useful to understand the breakup of the users who are visiting our website, and then you can work on them to improve the user experience. I hope this makes sense. Now you understand how the demographics data we need to analyze to bring out insights, which we can then apply to our business through different marketing efforts or other e mail marketing channels which we can make use of to drive valuable information to our relevant audience, which can help us generate more sales and revenue in the future. Thank you so much, guys for listening in to this session, and I will see you in the next video. 23. Devices and Technology of Your Visitors: Hi, guys. Welcome to this session. In this session, we'll analyze the data, the traffic data which we get of our visitors in terms of devices and technology. So let's have a look at this guys. So the Google Analytics account gives us data about the technology, also which the users are using to visit our website. So let's have a look at that. This information you can find in the tech section, which we can see on the left panel, and we can come to the overview page to understand this data. So now here we get to see all the information related to technology which users are using to visit our websites. So for example, we can see the data by platform. So right now, what we see is that the 100% data, all the users who are coming to our website is coming through the web, so which basically means that they're using web browser or website through which they are visiting our website specifically. This also gives information about users by operating system. We can see now that which operating systems are they using most to visit our website. For this website, specifically, we can see Android is the iest one, which we can see out here. Now, the second is IOS, windows, Mcintosh, all of that comes into picture. So by operating system as well, we can understand that majority of our users are Android users. So now that we understand this information about our customers, that majority of our customers are android users, maybe we can use this in our marketing efforts, so we can run ads wherein we can customize our ads to target users who are using Android operating system. Similarly, you can see the data by devices as well. So where we can see which all devices are they using to visit our website. Here, what we see is majority of the users are coming through desktop devices. In such a case, we can run ads. We can do a bit adjustment on ads to run more aggressively on desktop devices versus the other devices which we have bought. That way, our ads will start showing up more on desktop devices versus the other ones. So this way you can make use of this information. The other thing is users by browser. So Google also tells us that which browser are they using to visit our website. Since we saw that majority of our customers are from Android, so it obviously makes sense that they would be coming through the Chrome browser, and that is what is happening out here. Now, This can also gives us an idea that possibly the Chrome browser is more compatible with our website. Maybe we can make sure that our website is able to reach. So we can look at the other websites as well, other browsers as well like Sapari g as well, which has a decent amount of traffic. So this can be a work for us to improve account. We can sit with our website developer and see how we can make sure our website renders smoothly on other browsers as well apart from From. So that way, this can bring us additional traffic to our website. So this can be something which we can improve. And now again, device level breakout is also given to us that, what kind of devices they have used. So now, as we spoke about this, that we can use different types of advertising. Maybe we can aggressively run ads on desktop devices versus the other devices. Another very interesting insight which analytics gives us is of the screen resolutions. What kind of screen resolution the users are using to visit our website? We can see those as well. Now we can see the high end screen resolutions are the most which users are using right now. Which gives us an indicator that possibly the users who come to our website are people who buy high end mobile phones or devices. Which gives an indication that possibly they are in the higher income scale, possibly. And that way gives us an indicator that maybe we can look at improving our pricing, increasing the pricing as well, maybe in the future. We can look at selling high ticket products more. Maybe we can run some marketing campaigns, which is focusing more on getting us a better ROS. So all those things can be done, e mail marketing campaigns. We can run with selling with promoting some high ticket products with a premium pricing on them. So all those things which you can do by looking at this screen resolution as well, data over here. And then when we go to tech details, there are other information which we get to see out here as well, which is users by browser over time. All this is given out out here. Here with numbers, we can see. We can see that numbers as in the browsers from which users are coming. We can also see by other information, which is available outlet. So this kind of information clearly gives an idea more idea insights about who these users are, who are visiting our website, and what kind of tech are they using to visit our website. So once we get such information, we can use it to our benefit by customizing, directing our marketing efforts, e mail marketing or paid ads towards those users with those specific devices. Hope this makes sense. You understand now how you can make use of the devices or technology information in improving your business going forward. Thank you so much, guys for listening into this session, and I will see you in the next week. 24. Finding Useful Details About the User: Hi, guys. Welcome to this session. In this session, we'll see how we can find out some useful details regarding our users through the analytics account. There can be a lot of scenarios when users starts visiting our website. It becomes very important for us to analyze and get more information out of them about what kind of interests do they have? Specific interests which they're looking at. Let's take an example to understand this. Let's say I'm into a business of selling shoes, and I sell various kinds of shoes, I can be men shoes, women shoes, kids shoes. I can have a particular when a user visits my website. I can have a particular pop up on the website for a few seconds. We just ask them a simple question around, what are they looking for today? Now, in this case, and I give them three options, which can be men shoes, women's shoes and ki and kids shoes they can select from. They can just click on that and give me that information and then move forward in the website and do their journey. So by using this particular activity or an event. I can then analyze what they prefer more often in terms of the products. And then I can based on that insight, I can devise my marketing capes. So let's see this gus, how you can create such customized events and use them to get some specific, user details and then use it for your own business benefit. So you can easily create such events through the Admin page. Once you come to Admin over here, we can go to data display. Where we can go to audiences. We want to create a new audience, who is, let's say, interested more in men's shoes. We're going to create a new audience, a custom audience, which we can call it, and we can name it this specific way. The audiences which likes men shoes, and then the event which we have created, which we can add over here. So all the events which we have defined in your system on your website will be showing up out here. Now you can select from here the event. So you just need to go ahead and select the event. Let's say this is the event which we have selected, and it can save it. So now going forward, whenever the users and they choose any of the options. Let's say they click on men shoes from the three options provided to them, that will trigger over here in the Google and Avis account as a separate audience that So we will know how many users are there who are clicking on men shoes and showing clear interest in that segment. So with that data, then in the future, we can build some marketing campaigns. Maybe we can run some e mail marketing campaigns, focusing those men shoes and sending out those e mail marketing to our e mail marketing list, or we can run some ads also on Google Meta, spending some extra budget on men shoe products. Hope this makes sense. Now, I hope you understand how we can collect some important information from users based on various activities which we can make them do on the website and then use it for generating more sales and revenue for our businesses. Thank you so much, guys for listening in to this session, and I will see you in the next week. 25. Identifying Overlapping Segments Of Your Visitors: Hi, Hayes. Welcome to this session. In this session, we'll see how we can look at or overlapping segments of users data visitors, which can give us more insight about what kind of users visit our website. You can find such information through the Explore section of the Google Analytics. So let's have a look at di guys. Once we are into our analytics account, we can go to Explore, which is just under reports, where it is going to give you a lot of reports advanced, reports, which you can make use of over here to analyze your own data. There are some template gallery which you can find here, where you can find multiple reports being provided out here, which you can simply select and start using them. So we'll have a look at one of such reports, which is going to be segment overlap. So the segment overlap report gives us data insights in this particular manner. Now we can see you can add segments over here, which is mobile traffic data, tablet traffic data or paid traffic data, and now it shows you on a segment of it. So now we can see an overlap data of users. Like, for example, if we look at this particular data, which is a traffic, which is a mobile traffic, and they are in the age category of 25 to 54 years. Similarly, if you look at this overlap, which is going to be a tablet traffic, users coming through tablet devices and in the age category of 25 and 54, and so on and so forth, we can see this. So here now you can create various segments, and you can see for yourself the overlap data of your users. Let's say, for example, I want to see users data of users who are adding product to the card. So I want to see a segment of users, and what kind of traffic are they overlapping with? So we can do that by adding a new segment over here. Let's say we're doing a user segment, which is called AtP cart. Then you can select your event over here from this particular segment, you can add your actu card and then you can save it. Now the actuar is added over here. Let's say I remove this specific one and we can add actu card over here. Now we can see the overlap. Now what we see is, this is the segment, which is going to be mobile traffic users. There are 132 users who are mobile traffic and they are adding products to the card. Similarly, we can see another one, which is going to be an overlap of all the three, which is ers. There's only one user who is a mobile traffic user, and a tablet traffic user also, and adding products to the card. Same way, we can see tablets overlap with active card as well. So this way, we can go ahead and use the segment data in explore to find out our users information and see how they overlap with other dimensions, other segments, which we can find out here. I hope this makes sense. You understand now, this overlapping segments really helps us to understand the kind of users who are visiting our website. This gives an insight about what kind of users are coming from which all devices, or you can say sources of traffic. Plus we can combine them with what activities they are doing on our website, adding product to the car. Maybe clicking on the checkout button. Maybe clicking on some options which we saw earlier as well in the previous videos. That way, also, you can then go ahead and devise your marketing efforts. So if you see that a lot of users coming from mobile traffic and they're adding product to the card, then maybe we can run some specific campaigns around them. For those particular audiences, you can do a remarketing campaign. Maybe you can run a remarketing campaign and follow those users specifically on mobile devices, because they came from those devices and added product to the card but did not purchase. This way, this data can be utilized and implemented to generate more sales for our businesses. I hope this makes sense. You understand now how overlapping data can be really useful in identifying potential customers and targeting them with your marketing efforts. Thank you so much, guys for listening into this, and I will see you in the next video. 26. How Google Analytics 4 Works: Hi, guys. Welcome to this session. In this session, we'll talk about how really the Google Aaltics account works. So we have seen so far how data gets collected in the account and then we are able to analyze it. But how really the account receives this data from a specific website. So it becomes very important for us to know that process as well so that we really understand how this account is able to collect the data and analyze it and segment in different ways. So in order to collect the data, as we have spoken earlier, also, that in the analytics account, we set up a code. So let's have a look at this guys. Once we are inside the Google Ads account, we can go to specifically the admin section, where we can go to data streams. Data streams is where you have to define it. When you're signing up for analytics account, you have to define a data stream, which can be a web app or IOS, which basically means that your website will get users, so that is your data. So how will they receive it? What are the mediums of receiving that data? People either can visit your website through they can visit you can receive the data via your website or via your IOS app or Android app. So that is w they become a stream through which data is collected. And that's how they call data streams. Here you define it, so it can be IOS Android or web, based on which you create the stream over here. Whenever we create a web stream or any other streams data streams on Google and Analytics platform, it will generate a measurement ID. This measurement ID is a kind of a tracker. It is a tracker which is being now set up on the web in this particular scenario. And this will be a part of the code, the tag. The Google tag, which you will get here, that tag will be pasted on every single page of the website. So now, when people come to our website, they go to various pages of the website and take various actions. Each of those actions trigger an event. So we define a lot of events over here in the analytics account. An event can be people clicking on a act to card button or a buy now button, Checkout button, people purchasing the product, people scrolling through different products. So you can define multiple events inside the analytics account. And now when people do take those actions on the website. That specific event gets triggered and gets sent to the measurement ID, which we have applied in the code. So now the analytics account gets the information. So for an example, let's say we have created an event which is act to card. So what is going to happen is the next time a user comes checks out selects a product and clicks on Act to card. So that event will get triggered and the message will be sent to the measurement ID, which is in the code, which will eventually bring the information to the analytics account. And the analytics account will record one particular user who had clicked on aqui card. So just to show you the code over here, you can go ahead and have this information out here where we can see the information in this particular manner. This is the code guys. This is the code which needs to be pasted on the Google on the website across the website on all pages. And if you see closely, this is the measurement ID. This measurement ID is the one which is collecting all those triggers. The events which are getting triggered because of various actions taken by users is getting triggered through this measurement ID. And this from here, the data is passed on to the analytics account. And you are able to see various data on your account about what all actions people are taking. I hope this makes sense. You understand now how Google Analytics receives data from the website. Now in the coming videos, we'll talk about how these events work. What do we mean by events and how you can define them inside the Google Analytics account. Thank you so much guys for listening into this session, and I will see you in the next video. 27. Page-Level Analysis of Your Website: His. Welcome to this session. In this session, we'll talk about the pages which people are visiting our website and how to analyze their data. This becomes extremely important because then we understand what really resonates with our customers when they visit our website. And that information we can use to build and grow our business further in the future. So let's have a look at this guys. Once you log in to your particularly the analytics account, we can come to the engagement section where we can go to pages and screens. So this section shows us this information. So you will be able to see a breakup of all the pages from the website and what kind of views users data you can find for each of the pages out. So the views is the number of times the page has been viewed by the users, and then user segment shows you how many users visited the particular page. So in this way, we can see the data as well. And then we can also see total revenue, average engagement time as well. So here, for example, we can see that the apparel section of the website is getting the highest average engagement time, which is like 15 seconds, which is 5 seconds more than the average 10 seconds, which we see for the website. This gives us a lot of insight. Possibly, it is telling us that the websites, apparel section is much more in demand, and people are liking it much more. And possibly, what we need to do is bring more product categories into the apparel section. We can try and run some marketing events around the apparel section. We can launch maybe a big sale day or a coupon code or a discount coupon, which we can give for this section. There are different ways of utilizing this information to generate more sales and revenue. Another way is we can sort the data by revenue as well, and that can give us idea about which pages are generating the highest revenue for us. That way, we can also look at prioritizing those pages? We can add more products to those particular pages, or we can run some marketing events around revenue for those particular pages. We can run some ads on Google or Meta to sell those products more often and add some budget add budget to that. This way, we can make use of this data over here as well, which gives us a clear idea about how users are, which pages are they visiting more often on our website. The other information which you can get, you can see this data as well by different segments also out here. And then you can see the data here as well by default. So by default, what we will see is the home page getting the most of the views and users over there. Okay, so we can try and make it much more appealing and direct to the customer, giving them a clear idea about the message which we want to give to our users regarding our business. So the product page analysis becomes a super critical step for us because it really gives us an idea and insight about what kind of products or pages interests are customers. Once we understand that, we can use that information for targeting our business, our products and services, move towards in that direction. We can also see here with this. You can go to the other sections as well and you can see the data for other pages also. Checkout pages, you can see over here how many views and users have been to the checkout page and other categories also. You can take this data and you can download this, and then you can analyze which are the top 20 pages from where you're getting majority of your traffic and the views on the website. And now those 20 pages can be our priority list, wherein we run marketing campaign, e mail marketing campaigns on them, specifically trying to sell those products more often to our customers. I hope this makes sense. You understand the complete process, how you can analyze the pages data which we get over here in the Analytics account, and how you can implement. You can implement and take certain actionable steps to generate those incremental revenue and sales for your business. Thank you so much, guys for listening into this session, and I will see you in the next week. 28. Cohort Analysis - Granular Analysis: Hi, guys. Welcome to this session. In this session, we'll discuss the cohort analysis. We'll look at it in a much more granular manner to understand what kind of users as a cohort are visiting our website. So this is going to really help us to understand what these users are doing and what is the retention analysis of it? How much of the percentage of these users they come back to our website on a regular basis. So let's have a look at discus. So once we log into our account analysis account, we can go to the exploration section, and this is where we can see a report on cohorts. So let's have a look at this. This can be the cohort exploration, which we want to do over here. So this report shows us data in various formats, which we can see right now. So we can see currently we are looking at. This is a week over week report, which we see over here. The time period has been the last 28 days. So let's try to understand what it is showing us. So the first is week zero. So Week zero, it shows that which is from March 25 to March 30, we received around 2,817 users. Week zero means the users who have come new users who are coming to the website for the first time. Okay. So there are around 2,817 users who came to the website for the first time. During the period of March 25 to March 30, and then Week one, which is the next week out of 2,817 users, 135 were the people who came back. Who came back to the website again and checked out the products and services on the website. Similarly, that number further reduced to 54 in Week two. In Week two, out of the 135 who came back, 54 came back again in the Week two and checked out the products and services. This way, the data is being showcased to us over a week over week, we can see the analysis of it, and we can see how what percentage of people are coming back in the coming weeks. Okay. This same information can now be seen in a daily report as well. We can see on a per day basis, we can see it also. So day zero becomes the users who have come to our website for the first time. Like for example, if we look at right now, let's say second April, in second April, these many users came for the first time, out of which, the second day, which is on, you can say the third April, 92 of them came back again, and so on and so forth. So we can see the same data on our day wise as well to understand what kind of users are visiting our website on a regular basis. And out of that, what percentage is coming back, retaining customers or people who are coming back to check out products again. This can be really useful insight because this gives an idea about what is the retention power of the website, and what all things can we do on the website as well. Now, another thing which you can see over here and customize to look at is the actions they're seeing taking on it. Currently, if you see, the cohort inclusion is first touch, which is basically means, users are coming to the website and doing any kind of events. So we are tracking the data with any type of events or actions they're taking on the website. But let's say I want to see only users who are taking specific actions. So for example, let's say I want to see the users data, you doing any particular event or they are doing any transaction. So let's look at that as well. Now with a transaction, what we see is there hasn't been any transaction since March 25. That kind of data is giving us. Same way, A conversions. Also, we can look at it in that manner wherein we can see any type of conversion is happening or not, or you want to see, let's say, for example, you want to see any event specific. You can see for that also. So how many events people have taken. Different types of actions they have taken. So that data also gets shown up over here. So this pt analysis gives us a clear idea about what kind of users are visiting our website on a daily, weekly, or a monthly basis, and how much percentage of them are coming back again in the next set of days, weeks or months. So this way, we are able to get an idea about the traffic, which is visiting our website or on a regular basis, and then you can customize them as for your business requirement. I hope this makes sense. You understand now how to look at a covert data, and you can go granular into it, customize it, ask for your requirement, and then you can understand the data based on which you take specific actions. Thank you so much, guys for listening into this session today, and I will see you in the next week. 29. More Data on Business Goals: T. Hi, hey. Welcome to this session? In this session, we'll talk about what all data can we see, which make us understand whether we're meeting our business goals or not in the analytics account. Once we log into account, we can look at a couple of data, which clearly gives us an idea about whether we're meeting our business goals or not. So let's have a look at that. First is going to be retention. So once we go into the retention section, we can check out the lifetime value graph, which gives us an idea about how the business is going. So Lifetime value is basically what is the amount of revenue are you able to make from a customer in his complete lifetime in association with your website? So here now, what we can see is like for example, we can see on day zero, specifically speaking, from a specific user in general during this time period, you're able to generate 0.7 $2 in revenue from the customer. As the customer stays and connects with your website more often and buys other stuff, you can see the revenue increases over a period of time. So now if you look at it closely, what we see is that after possibly 60 days, it reaches a kind of a plateau where we are not generating any more revenue from that same user. So what we can say basically is that possibly for this website, 60 days is the period in which the users come to the website and do different types of purchases, and after which they stop. So possibly 60 day is the cycle in which people usually tend to buy from this website. If this is the case, and then this is what we understand about our business, then maybe what we can do is we can make some changes to our remarketing initiatives, wherein we can try to remarket our users only for 60 days and not motel that. Because that is what is the behavior. We can see here that the interaction stops almost stops after 60 days. This is one information, which can really help us to understand our business goals and how we can achieve them. Another thing is which you can look at is ideally going to be events. In events, we can see different types of conversions, which you can define So conversions can be page view. It can be you can say view item. All these things can be different types of conversions which we are defining. And here again, we can see the revenue data as well for each of the conversions which are defined. So if suppose we are getting a lot of conversions, which is coming through, let's say, top spenders. Maybe we can optimize our marketing around that, wherein we increase our budgets on advertising those products more aggressively on Google and Meta, so that we're able to generate more sales and reach our business goals with it. So the conversion data also gives us a clear idea about what's working and what's not working on our website in terms of sales and what kind of sales are we able to generate across the board for all our product line. So from here, we can then customize our efforts towards e mail marketing, or we can do ads marketing as well, performance, which can help us generate those additional incremental revenue. So these two particular data points can really give us a lot of insights about our business goals, how our business is moving forward, and what all necessary steps we need to take. I hope this makes sense. You understand now how to look at different data in terms of understanding our business goals. Thank you so much, guys for listening into this session, and I will see you in the next reading. 30. Business Goal Analysis With Monetization Reports: Hi, eyes. Welcome to this session. In this session, we'll see how we can make use of the monetization reports which we get to see in the analytics account to understand our business goals. So once we log in to our analytics account, in the report section, we have monetization here where we can go to the overview page. So this page shows us the e commerce part of our business. What kind of revenue are we generating through the products which we are selling on our website? So now we can see the total revenue purchase revenue over here as well, which gives us an idea. Also, the ad revenue specifically from the mobile apps, what kind of purchases are happening inside IAP purchases? All that comes in the ad revenue section. So this gives us a clear idea that on a regular basis, what kind of revenue is generated through the products which we are selling on our website. Now, if you look at the other card, which is total purchasers versus first time purchasers. So for the time period we have selected, it gives us an idea about how many purchasers, how many users came to our website who had bought those products. Now, if you want to find out the average purchases per user, you can go ahead and divide total purchase revenue by the total purchasers over here to get that information. Also, the tool gives us an idea about the first time purchasers as well, which gives us an insight that possibly out of the 3.1 k total purchasers, 2.9 are first time purchasers, and possibly 0.2 k the repeat purchasers. So very few people are repeat purchasers on the website. That kind of understanding which we get out here. Now you can also see the average purchase revenue per user, which comes up here as well. The intention would remain that this number can be increased by optimizing our website, by introducing new products, doing a lot of AB testing with our current products. With that, we'll try to improve this number as much as we can. This tool also gives us an idea about the items which are purchased by the users. We can see this data in detail as well. Here we can see the specific items which are being purchased and the revenue of it as well. We can see the revenue specifically. Now based on we can sort this data by revenue as well to understand which are our top performing products. Here we can see that Google 25th birthday Pod is the top performing with highest revenue, looking at it has 4,800 items viewed plus around close to 2000 items added to the card. In comparison to, if you look at G 25 G Birthday T, which was added more number of times, it has not been able to generate that much revenue. Possibly this can be also a case that this product is little on the higher side, high ticket product, which we are selling out here, which is resulting in high revenue for us. So like this, we can find out our top selling products from our website. Once we understand, which are our top selling products, possibly we can go ahead and add similar products to our website to our inventory. That is one. Secondly, we can aggressively do ads marketing. We can do a lot of paid ads. We can advertise those products more on Google and MTA and possibly run some e mail marketing as well on them. So that way you can try to bring in more revenue to your business. The other way what you can also look at is if we sort this in ascending order, now we can see all the products which are not generating any revenue. Like for example, I am remarkable women's T shirt was viewed 205 times and added to the car 142 times, but resulted in no revenue. So this can be an indicator that possibly, it is highly priced. Possibly for this particular page, the information is not so clear, which is bringing the doubt in the user's mind, and that is why they're not going ahead with the purchase. So for such kind of pages, we can go back to those pages, try to optimize, make it better. We can change the look and feel of the page. We can add some promotions, discount coupons to the page. We can try to see if we can optimize on the pricing of the product. All these things, which you can do to bring some results from these pages as well. We can take out all these zero revenue pages and keep them aside and create a business plan, and actionable plan around them as well. This really helps to generate incremental revenue for our business. So the monetization reports gives us a fair idea about how revenue is flowing into the business. Through the product titles, which we are selling on the website. I hope this makes sense. You understand now how we can analyze our monetization reports to go ahead and help in growing our business. Thank you so much, guys for listening into this session, and I will see you in the next video. 31. Revisitng the Monetization Reports: Hi, guys. Welcome to this session. In this session, we're going to see the monetization report once again, looking at the e commerce purchases data. So let's have a look at this phase. Once we're in the account, we can go to monetization, where we can go to e commerce purchases to understand this data in detail. Here, the first column shows us the specific item names, the products which are getting sold from the website. Then we can see items viewed, which is the number of times the product was viewed in the time period we have selected. Then we can see items added to the card. So out of the views, how many products were actually added to the card. And then from that, we can see how many items were really purchased. And the last column shows us the revenue, what was generated through those products. So there are multiple things which you can understand over here. One is, you can understand, what is the average revenue which you are generating from each product, which we can find by dividing the item revenue by the number of items purchased. You can also look at the view rate of the items purchased, which is like total items purchase divided by items added to the card. So this way we can understand a lot more about information about what are the purchases which are happening on our website. Now, in addition to this, we can also customize this report. So let's say, I want to see all the products by brand. I want to know which brand sells more from my website. I can choose that as well item brand, and now I can see by brand, how is the situation. I can see that the Google brand is the maximum selling one out here. This is also possible, ideally speaking. Apart from that, we can also go ahead and bifurcate this data by various ways. For example, let's say, I want to see what is the Age demographics which is purchasing from our website? Who are the tops age brackets which are buying maximum products from a website? We can sort by age as well. And now we can see that information in this particular manner. Same thing we can do now with other gender as well to understand what gender is majorly buying from our businesses. This can be useful in cases that if we understand that the specific gender or age group which is buying most of the products from our website, maybe we can customize our ads around them and try to target those demographics more aggressively. The other thing which you can do out here is you can also look at it by location, geography. Let's say I want to see the users are coming from which country specifically who are buying most of the products with the highest revenue. So we can see that information here that US is the majority of the traffic, which is coming to the website, which is generating maximum revenue. Maybe we can have campaign specifically running, targeting US only versus other locations. Maybe we can try to add more inventory to our US location so that we are able to supply them to our customers. So that can also kind of help in increasing our revenue. So this particular segment also helps a lot to understand our users who are actually buying from our website. Another example can be platform and device, so we can see which devices people are using mostly. So in this particular manner, if it is, we can see that as well. So if we understand which devices are used more, maybe we can do a device level bit adjustments. We can try to run more ads on those devices more so that it can generate more sales for us. I hope this makes sense now, how we can interpret the e commerce purchases data on the Analytics account, which can give us a lot of actionable items or steps to take, which can eventually help in growing our business. Thank you so much guys for listening into this session, and I will see you in the next video. 32. Customized Tabular Reports In GA4: Hi, guys. Welcome to this session. In this session, we'll see how we can create a customized report in GA four. A lot of times, we have seen a lot of predefined reports already and which can be used, but there can be a lot of times where we need to build out a report from scratch, and that is what we're going to see out here. So let's have a look at this guys. Once we are inside the Analytics account, we can go to the Explore section where we can build this out, so we can see we have a free form report over here, which you can select. And now here, you will see some predefined data. Right now, what we can see is there are rows for city, which has been sharing over here, and then we can see the columns for active users, we can see for desktop device category as well, being shown as basic report being shown out here. So now what you can do is you can customize this. Let's say, I don't want to see it for a city, rather, I would like to see it for a country. So I can do that as well. So it can give me data for a specific country in this particular manner. If I want, I can see the data for specific traffic as well in this particular way. So I can customize the data as much as we want. And now here as well, in dimensions, we can bifurcate the data, let's say we're looking at by gender as well, so we can see the data over there. So there are different ways by which this data can be seen, ideally speaking, a table way as well, which we can use out here, which can really help us. So this particular information is going to help us to identify how the particular preform data, a customized data can be created, and then you can use it for various reasons. You can also go ahead and change the rows over here to see more data. Let's say, I want to see the columns over here. I don't want to see by device category, but rather I want to see the columns, let's say, a gender specifically, I can see it in this manner as well. So I will understand the information by gender as well out here. Same way. You can also customize further by metrics. Let's say I want to see these are all active users data being shown to us. Let's say we're also looking at other metrics, which can be let's say e commerce purchases, we can add that as well to this so that we can get some information around that. Once you add that, you can have a look at that as well. So like this, this free form data can really help us to customize a report as COA requirement, and then we can use it for analyzing our business. You can see there are various options, so you can customize by segments, dimensions, and metrics, and you can plug in play the way you want it to showcase the information, and then you will get a better understanding of the business, which we are. I hope this makes sense. You understand now how we can create customized tabular reports as well in GFP. Thank you so much, guys for listening into this session, and I will see you in the next video. 33. Google Looker Studios Basics: Hi, guys. Welcome to this session. In this session, we'll talk about the Google Looker Studio tool, which we can also make use of. When we are using the Google Analytics account, it can be a situation wherein the reports which we get to use in analytics might not be enough. We need to build out more detailed reports possibly for business resels. For such a reason, we can make use of the Looker Studio tool which Google provides us with. Now, this tool is a high end visual data visualization tool, which we can use out here. In this tool, you can go ahead and make various reports from scratch in detail. They have a lot of template reports as well, which you can make use of and customize it as for your business requirement. So in this video, we're going to just see a little basics of the studio report tool which we can make use of for building some basic reports from scratch. Let's have a look at this guys. So you can search for Looker Studio on Google, and you will find this particular tool called Looker Studio overview where we can come. And from here, we can build out a report. So how this report works is this requires a specific data source. So you can build this report on different sources of data. Now, this can be Google Analytics data, it can be Google Ads Data. You can also look at other data sources, maybe an Excel sheet on which you have data, which you can upload at the back end, and that will build out such various reports. So just to show you This is going to be a Google Ads report which we can create out here. Now, in order to set it up as well, what is more convenient is that we maintain the e mail ID, which we have used to open this particular tool to be the same as the one which we use for our analytics or Google Ads accounts. If we have the same e mail ID, the data of inflow would be much more seamless and very easily you can build out these reports. Right now you can see this is one of the sample reports for Google Ads, which you can get created for yourself as well. Now let's look at for analytics, how we are going to do this. Once you are in this report, we are going to create a blank report. The moment you start trying to build a blank report, Google will give you options to select and add the data. This is what we were referring to. These are all the different sources of data from which you can select from. Now, we're going to do it for analytics. We can select that. The moment you choose analytics, since your e mail ID is same, it will automatically populate all the particular account profiles, the preview the property as well, which you can see over here. The accounts will automatically show up here. So we're going to look at the demo account of Google Analytics. Let's look at the Google M Shop. And this will upload the whole data from the analytics account into this particular tool. Then we can start customizing it. We can start building out the report from scratch, we can pick up the metrics which we want to use and show in our report. All of that becomes easy to understand. Once you have this in place, we can add this. And now we will get a empty sheet on which we can start building our report from scratch. You can pick up various metrics. You can choose the time frame for which you want to create this report and you will be able to showcase that data. Now you can see this is the empty sheet which we get. We can get rid of this for now and start from scratch. Let's say, I want to create a report where I want to see the total users coming to the website I can just select that and drag and drop out here in this particular man. Very simple and easy to build out in this manner. Let's say we're looking at p e commerce purchases. We can choose the time period as well for which we want to see this. Let's say we are looking at it for this year till date. Then we can look at the purchases as well. Purchase revenue which we want to see. We can add that also and give a time period for it. Let's say this here to date. Similarly, we can do add revenue. So you can see like this very easily, we can start building out our reports one by one out here and customize it aspera requirement and build out this report to share it with our audience. So this is what is a Looker Studio report or a tool which we can make use of for creating much more detailed reports. Otherwise, you have the predefined reports as well, which we saw, which we can make use of. I hope this makes sense. You understand now how Looker Studio works, and how you can use it as another option to build out some customized reports for yourself while you're analyzing your Google Analytics data. Thank you so much, guys for listening into this session, and I will see you in the next video. 34. Link The Website, Google Analytics 4 amd Google Tag Manager: Hi, guys. Welcome to this session. In this session, we'll see how we can link our website with GTM, and then we link our GTM with Google Analytics four so that we can share the data with analytics. So let's have a look at this. So the first part of it is going to be wherein we are going to first link our GTM account. We will set up the GTM on our website. So let's have a look at this. So once you are in your GTM account, what we can do here is we can go ahead and set up the code of GTM on our website, for which you must have seen when we create the account, we get this particular ID. So we can take this GTM ID. And we can paste it at the back end of our website. So I'm going to go into my Vick's website, dashboard, and we can go to the settings part where we can go to marketing integrations. And this is where I'm going to look for Google Tag Manager, where I'm going to connect this. Once I link it, my Google Tag Manager is set up on the website, this should fire now, and we can test it out on the website as well. We can see it is showing up out here. Plus, from the GTM account, also, we can see this by doing a preview. In the preview section, Google will help us to test this out as well. We can test it out in this manner where it is going to connect. And now you can see it says connected, and it is going to show up out here. So now the connection has been done and we can see this. Now comes the second part. The second part is we have to link our GTM now to our analytics. So basically what we're trying to do here is, we're trying to link our website with our Google Analytics account through the GTM. So that the data can flow from the website to our analytics through our GTM setup, which we have done. So what we're going to do is we're going to link this account now with our GF four. So for that, again, we can go to the GF four account. Specifically, we're going to create a new tag first. So now comes the tag configurations. So we're going to do a GA four configuration, so we can select G Google Analytics over here. And for a Google Tag, and we're going to provide the tag ID. The tag ID is going to be your GA four ID of your property. So you can go to your analytics. This is the account which we are looking at, and we can get the GA four ID of it, the measurement ID basically, for which we can go to the Admin. And in Admin, we can look for data streams where we can find the ID over here. So this is our measurement ID gus for this particular property, which we have copied now. And we'll go back to our website to our GTM and paste it over there. Now, the trigger is that we want to see a page view. Once people visit our website, it should be counted as a page view, so that is the trigger which we are setting in GTM. We can give it a name as well over here. Let's say we are seeing it as GA four. Now the GTM has been linked to the GF four tag as well, and this should also fire as we were seeing earlier as well. So we can do a preview of this. Again, we are connecting it. It's connected in this particular manner. We can refresh this to see this once again. So now they're opening the website, it is getting connected out here, and now you can see that GA four tag is firing. This firing which means that basically that when the user goes to the page like website, they're going right now, it is getting counted in our GA four account. So if I go back now, and I try to look at it in my real time reports. There also, that so data should dally populate. Right now, you can see users showing up over here. We can see a real time data as well, where it would possibly show. So this is how guys, we are able to link our website with our GA four through the GTM account setup, which we have done. I hope this makes sense. You understand now the complete process, how to do this very easily. Thank you so much, guys for listening into this session, and I will see you in the next video. 35. GA4 Practical Tip1: Yes. Welcome to this session. In this session, we'll see different types of practical tips related to Google Analytics, how we can use it in a real life business, and seeing how we can implement them in a business scenario. So the first one we're going to look at today is browsers language. So in the analytics account, you can go ahead and pull up a data by the browsers language as well, which will give us an idea about what kind of traffic is coming through different browsers based on language. So let's have a look at this guys, so we can go to explore and where we can create a new exploration. This is where we can build out different types of let's say dimensions, which we're adding, so we're going to add, let's say, language, and browser as well. Along with that, we're going to add some metrics. We are looking at total users sessions, bounce rate, engagement rate. These are the metrics which we are looking at, and now we can create the report out here. For creating the report, you can just select the row first. Let's say we're selecting browser, looking at the language. And then once you add the columns or values, that is when the data will populate. Let's say total users, sessions, bounce rate, In this particular manner, we can see this. Now we can see the different types of information about a browsers and language data as well. This gives an idea about what kind of users which we are getting. Okay. So Now, we can see out here particularly speaking. We can see that a majority of our users are going to be English, which we get to see out here. So this kind of a simple report can give us an idea that most of our users are English speaking users, and they're using, let's say, different types of browsers out here. Now with this report, you can start looking at different Maybe you can try to create the language. If there are specific kind of users who come with a specific language where most of them are coming to your website, then maybe we can try looking at providing the websites. Language can be translated in that particular one to make it easier for them to understand. So that can be one initiative which you can take. Also, looking at this, if there are particular languages from a particular geography which you find is coming a lot and generating higher revenue. Maybe we can look at expanding our business in that particular region as well. So for example, let's say we are able to sell a high ticket products from people who speak in Japanese. Then in that case, maybe we can expand our business in that particular segment, bringing in more products related to Japanese products that is going to help us grow the business. So this simple report can also give us a lot of insights about what is happening, what kind of traffic is coming to our website, and based on which then, we can take our steps to grow the business days. Hope this makes sense. You understand now how you can make use of a simple metric like languages and browsers to gain some insights about the business and make it better going forward. Thank you so much, guys for listening into this session, and I will see you in the next week. 36. GA4 Pratical Tip2: Hi, guys. Welcome to this session. In this session, we'll see a second tip, which is going to be location data, how we can make use of it to grow our business through Google Analytics. Once we log in to our analytics account, we can again use the location data information as well. Here, the same report which we were using in the last video. So we can add other dimensions here as again. Let's say we're adding country. And let's say we're doing also City. Now we can add these and now you can add them to the row. T. Now we can see the data by country as well. This gives us an idea about from which countries most of the traffic is visiting our website. This can be a really useful, insightful information to know because then we can understand which countries we need to focus more on. Like for example, here, in this report, we can see that majority of the traffic is coming from United States. In such a case, we can run of our marketing campaigns targeting US. We can also do e mail marketing, which is focusing more on US customers. We can try to uh, get our inventory created. We can add more inventory products to our business, which are more catering to US customers. So that way, we can optimize our business and try to generate more sales. So this can be one way, guys. Similarly, if you want, you can also see this data by City. Let's say you are doing a business in a single city only, a single country. Targeting only one country, and you want to see how the traffic is coming to our website through different cities. So now we can see that also in this particular fashion. And now again, we apply the same treatment. We can see which are the top performing cities which are getting the highest amount of traffic to our website. And now based on that, we can optimize our services. We can increase the products inventory for those cities. We can try to run more marketing campaigns, e mail marketing campaigns, targeting those cities. We can do that. That way, it will really help to generate more business and revenue for us. Other step optimization or very interesting step which you can take is, if we can find out that which are the cities, which are the highest traffic generator for us. Possibly, we can try to do some offline campaigns in those cities as well. We can set up a chaos or we can set up maybe a store over there, an offline store, which can help us again in generating more traffic awareness and customers for our business. This way, we can make use of the location data as well, guys in optimizing our business and generating more sales and revenue for us. I hope this makes sense. You understand now how this data can be useful. Thank you so much, guys for listening into this session, and I will see you in the next do. 37. GA4 Practical Tip3: I guys. Welcome to this session. In this session, we'll talk about the third tip which we can use to analyze our business, which can be our browsers conversion rate. So we can look at the browsers conversion rate and based on which, again, understand what is working for our business and what is not, and then take the necessary steps. Let's have a look at this guys. Once you're inside the account, we can make use of explorations to add certain metrics around this. So we can add metrics like browser. Event name as well. Apart from this, what we want to add is some e commerce information, revenue purchases, all of that so that we can understand the conversion rates from it. In this manner. As you can see, we're adding some of these revenue as well. Now we have added these. We can start looking at this information, and we can add all of these one by one, purchases, purchase conversion rate, purchase revenue. Now, once we start looking at this information, we can see which kind of browsers are actually working. So if you see for this particular website, From is the most successful browser, which is getting majority of the traffic. Plus the revenue it is generating from it is the maximum out here. Versus, if we look at Sapari or any other browsers, they're nowhere close to it. So in such a case, what we can do is, how we can look at it is this. We can try to see our website, how it renders or opens on other browsers. Maybe we can go to Sapari, because Sapari is getting a decent amount of traffic and sessions, but not being able to generate that much revenue. So maybe we can try to render our website on a Sapai browser, see how it renders loads on Sapai, specifically looking at the checkout page at to card pages, product pages of our website. And understand whether there is any issue with our website or not. Maybe that can be a case that it is facing it's having a more load time on a Sapari browser for our product, checkout, and add to card pages. So we can go ahead and make some changes to that and make our website faster on a Sapari browser as well. This would really help again to generate extra additional revenue for our business just by improving our website's performance on specific browsers. I hope this makes sense. You understand this insight, how we can make use of the exploration report here to understand, what kind of performance are we getting through different browsers and how we can fix them. Thank you so much, guys for listening into this session. And I will see you in the next video. 38. GA4 Practical Tip4: Hi, guys. Welcome to this session. In this session, we'll talk about another practical tip which we can use, which is device category. How we can make use of that information as well to grow our business and see how we can generate extra revenue for. So have a look at it dis guys. Here again, in the report, you can add device category as one of the dimensions. In this particular manner. And we can see data based on that also. So what we can do is we can remove this, and now you can see data by device categories. So they will show you in three dimensions, which is desktop mobile and tablet. So clearly, we can see that majority of our traffic is coming through desktop devices, and that is also generating the maximum revenue. Versus, if we look at mobile and tablet, where we're getting less traffic, and proportionately the revenue is also less. So in such a scenario, we can look at maybe optimizing our website on mobile and tablet devices more, and we'll see how our website reacts or behaves on a when they load on a mobile or tablet devices. So we can sit with our web developer and get our website more optimized for mobile because mobile has a far better adoption compared to tablets. So we should certainly try to make our website mobile friendly. So we can get that thing done, and which can really help us then to generate more revenue, and possibly the conversions conversion rate can also become better. As you can see here, comparatively, the mobile users have been lesser, and also the bounce rate has been much higher than the desktops bound trate over here, which gives us an indication that possibly people when they search for our website through a mobile device or through tablet, they don't get the good user experience, and that's why they leave our website very soon. So this insight really helps us to go ahead and make our website much more better on mobile and tablet devices. I hope this makes sense. You understand now how the device category information can also help us to optimize our business and generate better sales and revenue in the future. Thank you so much, guys, for listening into this, and I will see you in the next week. 39. GA4 Practical Tip5: Hi, guys. Welcome to this session. In this session, we'll see another practical tip which we can use to understand how our business is working, which can be screen resolution. So we can look at screen resolution data as well to understand what kind of ads or what kind of businesses are running, how website is performing on different screen sizes or resolution. So let's have a look at this guys. Once we're in the Analytics account and on the same report, we can now add some other dimensions related to this. For example, Spen resolution device model. We can add over here. And now we can see data as well based on this. Right now, for example, specifically, we are looking at the mobile device performance. As we can see that the mobile device has got less conversion rate. So we would like to understand and dig deeper into the mobile device spen resolution, and want to see what kind of images are what kind of de spen resolutions these mobile devices have. The first thing which we can do is we can filter mobile first and now we are only looking at the mobile data. This we want to split by the screen resolution, which we can add now. Now you can see these are the different screen resolution for mobile devices, which we can see out here. Now, based on this, we can start tracking the data as well and see. For example, if we look at the conversion rate or if we sort by revenue as well, then we can understand that 428 b 926 has been the best screen resolution on which we have received most of the conversions. Rest of them, even 393 by 852 has worked out really well for us. But apart from that, all the other screen resolutions has not been that great. So we would like to test this on the website as well and see this ourselves. So this is the website for which we are looking at data. So we can try to see the screen resolution of the same website on different mobile devices by using this particular mobile simulator. So now you can we can see the complete website on a mobile device in this particular manner, and we can see the responsiveness of it. Okay? Also, another thing which you can see here is there are different types of resolutions for which we can see this, if let's say, I want to see the resolution for IPhone 15, that also possibly can be done if I select those particular devices or tablets or let's say other special devices which you have got out here. So like this also, we can see the screen resolution. So the intent of this is, we are trying to understand what exactly has been the screen resolution on which the website is being shown, and because of what specifically, the conversion rates has been so low. Another thing which you can do is you can also do an inspect element of this and see what we here particularly in this manner, wherein you can see all the different devices out here as well. Let's say I want to see the screen resolution for, let's say Samsung Galaxy S eight plus, then it is going to show me in that particular manner. Also, I can see it for, let's say low end mobiles. Low end mobiles possibly would have a lesser connectivity, shoes and devices might not be that fast, and because of this, convergence might not happen. We can look at low end mobile phones as well in this manner. Or else, if we want, we can go ahead and create a resolution ourselves, and use that to see how our website renders on that particular resolution. Here you can add a custom device. Let's say this is I say and I want to see a resolution for 400 by 700, and we can save that. Now over here, I can see an Mois device. Based on which now the system will render, the website will render on that device to understand how it is working. I can go through. If you see right now when I'm clicking on the shop drink, specifically, it is not opening out here. So there can be multiple reasons why there will be a low conversion rate for mobile devices as well. In this way, you can re, you can go inside the account further to understand what really has led to such kind of a performance. I hope this makes sense. You understand now how we can look at screen resolution data as well in analytics to understand what has led to low conversion rates or even the other sy of pate, which can be high sales. I hope this makes sense. Thank you so much, guys for listening into this session today, and I will see you in the next weed. 40. GA4 Practical Tip6: Hi, guys. Welcome to this session. In this session, we'll talk about another practical tip which we can use to improve our business performance is paid speech insights. So let's have a look at this guys. Paid speech insights is kind of a tool provided by Google, wherein you can use this to check how your website speed is. This was something which was integrated inside Google Analytics earlier. But now Google went ahead and created a separate website for paid speeds insights. Which we can make use of. And here we can check what is the speed of our websites and how good the performance of it is. Here you can come and you can enter the web page URL. Let's take this example of the Google Mud Shop, and we can put the website URL in this particular manner, and we can analyze. This tool will now give us a performance of the website on mobile and desktop separately. So we can look at the core web vitals over here, how it has worked out. We can see there are certain scenarios like first content full paint that is getting 2.1%, 1 second over here, whereas in desktop also, if you see, it is going to be showing us a lot of metrics in this particular manner. So now you can look at this information, and if any of these metrics where your page load is high, we can go ahead and share this with our programmer, web developer, who has built out our site and ask them to improve the websites performance. Since Google goricm is also looking at pay speed as one of the important factors to rank high on Google search results. It becomes important for us to make sure that the website's page load is really up to the mark, and there is no issue with it. To check all of that, we can make use of this pay speed insights. This tool will give us a lot of metrics, which clearly gives an idea about how good the performance is of our website in terms of load time. And it will give you the insight both on our mobile device and desktop separately. So this can be shared with the web developers, and they can give us an idea. So you can see here like the largest content poll point is 2.6 seconds over here given. Similarly, if you see for desktop also, you can see that information out here. So this is another practical way guys by which we can make use of this information to improve our website's performance. I hope this makes sense. You understand now how you can make use of pay speed insights to build a better website for your customers. Thank you so much, guys for listening into this session, and I will see you in the next do. 41. GA4 Practical Tip7: Hi guys. Welcome to this session. In this session, we'll see another practical tape, which is mobile operating systems. How we can look at this data as well in Google Analytics to understand our customers and understand where to focus on and what needs to be improved. Let's have a look at this as well, guys. Once we are inside our account, here again, what we can do is we can add a dimension which can be our mobile brand. We can do by operating system first. And device brand as well. We can look at the data with both the dimensions. The other thing which we can add, also, we here is metric where we can add average purchase value. Now we can make use of this data. Let's have a look at this. When we use the operating system. Now we can see a breakup of the data as well on mobile, specifically. Understanding that IOS is the operating system, which is working best for us, which is generating the highest purchase revenue at this moment versus any other operating system, which gives us a clear idea that possibly we should be focusing more in mobile. We need to focus more on IOS devices going forward. We can go ahead and customize our marketing efforts according to that. Maybe targeting only IOS devices would be a better idea. Versus Android. This can be an inside and information which we can make use of, which can really help to generate more sales or revenue for us. The other information which you can also look at here is through device brand if you want to go further deeper into this. So when you do it by device brand, now you can again see the information that by devices also, Apple is the device on which we are generating highest revenue for this particular website, which again concludes the fact that Apple IOS would be the favorable targeted device for us on which we should be increasing our efforts of marketing, which we are doing. Maybe we can run a campaign on Google or Facebook, which runs ads majorly on these devices going forward. This way, we can increase our probability of getting sales or revenue from here as well. Also in addition to if you look at the average purchase revenue from these devices as well. We see that the average purchase revenue is also higher for Apple devices, IOS devices. So which gives an idea again to us that the buying capacity of these users is also higher, which makes sense for us to now focus mostly on these devices and these users going forward, where we can target them to buy our products. So this kind of insight really helps us guys to give direction to our marketing efforts, which can lead to higher sales and revenue in the future. I hope this makes sense. You understand now how you can make use of mobile operating system information as well to take decisions around your business. Thank you so much, guys for listening in to this session, and I will see you in the next video. 42. GA4 Practical Tip8: Hi, guys. Welcome to this session. In this session, we'll see another practical tape, which is landing pages to understand how it can help us in improving our business performance in the Google and Analytics account. Once we log into our account, guys, we can add this particular dimension. So let's have a look at that. So we can add a new dimension called landing pages and query string. Apart from that, the metrics, which we want to see for this is, let's say we want to see the number of sessions. And we also want to look at bound state. These two we can add over here, and let's have a look at this data now. What we can do is we can add this first and then we can add the metrics based on this. This way, now we can see the data for it as well properly, wherein we can see all the sessions and bounce rate. The first one is for the home page, we can see the number of sessions bounce rate as well. And for the other sections of the website as well, the report gives us data sessions and bounds. So now looking at this, we can try to understand what are the pages where we're getting the highest number of sessions. So this gives us a clear idea that these are the top performing pages of the website where most of the time people are visiting and checking out our products and services. If that is the case, then in such a case, what we can do is for these pages, we can go ahead and improve the page quality. We can try to do a lot of SCO for those pages so that they appear more prominently on the Google search results pages. Also, we can run some marketing campaigns for these pages. Maybe we can run some Google or Facebook ads for these pages, which can help us generate more revenue through them. That can be one initiative which we can take insight, which we can get from here. The other aspect of it is the bounce rate. With respect to the bounce rate, we can look at certain pages which has received really low or very high bounce rate. Like for example, this particular page for which we've received a very low bounce rate of 3.1%. So we can check out such pages and see what exactly happened. Why there is such a huge drop in the bounce rate for this page. Maybe the page is not working, it has a 404 error or some kind of issue with the page, which we can then get it fixed. Similarly, we can look at other pages, which has a very high bounce rate Like, for example, this one, where we can see the same kind of information and try to fix the page as much as we can. Looking at these two again, we can get some actionable item steps which we can get from here, which can really help to improve the website's overall performance. I hope this makes sense. You understand now how we can look at the sessions data bows rate data of our top performing pages as well to take some necessary steps. I hope this makes sense. Thank you so much guys for listening into this session, and I will see you in the next video. 43. GA4 Practical Tip9: Hi, guys. Welcome to this session. In this session, we'll see another practical tape which is around pad traffic. How we can use this data as well to optimize our business and optimize our campaigns, which we are running. Let's have a look at this. So once you're inside the report, we're going back to the previous videos report where we had pulled up a report based on Landing page and query string. So here we are just going to add another dimension, which can be session source. And medium. This will give us an idea about our paid traffic data. Now all we have to do is we just need to go ahead and add this as a filter. Wherein we want to go ahead and specifically look for paid traffic, which can be Google CPC. So now we can see the data will change out here. So now we can see over here that these are the sessions or users who are coming through a pad traffic. Okay. Now in this, we're going to optimize again. So we'll look at those pages, which has high bounce rate. Like for example, the Canada page, which we're looking at, or this one as well has high bound rate, this one as well has a high bounce rate. So this can be such pages can be removed. We can straightaway go ahead and remove such pages from the website possibly and stop such campaigns, which we're running right now, maybe, because that will help us save a lot of money. Or if we really want to keep these pages, then we make changes to our marketing campaigns. We stop these campaigns, we modify them, we make the changes to the page as well so that we can re strategize of how to do campaigns, how to run ads for such pages going forward. So this way as well, we can look at the paid traffic data as well to optimize the business and save the money which is getting wasted and not utilized in the right manner. I hope this makes sense, you understand this strategy as well. Thank you so much, guys for listening into this session, and I will see you in the next week. A 44. GA4 Practical Tip10: Hi, guys. Welcome to this session. In this session, we'll see another practical tip which we can use here, which is site search data. So a lot of times when we go on our website, there are ways to search through the website and get search results pages. So the analytics tool can also give us an idea about what search queries people are doing on our website, and that can give us an idea that what they mostly look for in the business. So the Analytics tool can give us that kind of insight. So let's have a look at it, how we can access this data. So once you are inside the account, we can add certain dimensions and metrics over here. So we'll add a dimension, which is since we're looking for searches done by people, we're going to look for search terms. And in metrics. We just want to know how many times those searches happened, which is usually events tracking, which we do on GA four. We're going to look for event count. With these two metrics, we can easily find this information. All we need to do is we just need to add these particularly in this particular manner. Now we can see this information out here. We can change the date range maybe Now here, we are going to see all the search terms out there, which will show up over here, and it will also give us account of the search terms. Now, once you understand, once you know what are the searches people do on our website on a regular basis, maybe we can focus on those search queries. Those products on our website, make the landing pages of those products. Maybe we can write a lot of blogs or pages which we can create around those search queries and make it relevant for our customers. Hope this makes sense. You understand now how we can look at the site search data as well to understand what people are looking for on our website and then make our business much more better in terms of generating a great value for our customers. Thank you so much, Tas for listening in to this session, and I will see you in the next video. 45. Thank You For Taking This Class!: Hi, guys, I wanted to congratulate you for coming to the end of this class. Thank you so much for taking this class. I hope this was useful, and you're able to understand these strategies, and you're able to implement them in your business and for your clients. So thank you once again, guys, and I look forward to seeing you in a new class very soon.