Master Google Analytics in 1 Hour | DataHour | Analytics Vidhya

Key Takeaways

foreign [Music] and right now working with publishes CPU and has a manager data analytics and have worked across different analytics tools like Google analytics is one of them but apart from this I have also worked on Adobe analytics and uh a few others and apart from the reporting I have also worked on the analytics implementation domain as well which is slightly different than the reporting ones so yeah let's quickly start and let's look at the uh you know what all we are going to talk about in this webinar so uh this webinar will be on GA or Google analytics wherein we will talk about you know all the things that you would need to learn and apply this knowledge related to Google analytics so that you are able to set up Google analytics onto any domain or app that you have access to okay so before we go ahead and start the session I would like to have the understanding about the type of the audience we have for example your expertise with respect to Google analytics or how many years of experience that you have in Google analytics so for that I'm just I have just three simple questions planned for this session and uh I just want you to open this URL on your phone or laptop or desktop and enter this code which is two three two six five two eight I'll just quickly bring that over onto the chat or you can also scan this QR code so we have 80 people in this webinar more than 80 people so let's wait for a few seconds so we have uh majority of the audience who have not worked on Google analytics before okay that's great because uh we will cover uh all the things each and every detail about Google analytics from the basics in this webinar the next question for you is how many years of experience you have in GA so majority of the people have never worked on ggas so I think uh they can go with never worked on GA option but for the remaining people they can they can select the corresponding years of experience that they have working in Google Analytics yeah the last one so Google analytics 4 is the latest uh version from uh released from Google analytics so earlier we were using Google analytics version called Universal analytics or Google analytics 3 but uh recently Google have introduced this kubernetes 4 with Advanced capabilities which we are going to talk about in in the future slides thanks a lot everyone for your responses uh let's quickly look at the agenda that you know what all we are going to talk about in this particular session so we will quickly start with the uh understanding what exactly is Google analytics how it can help and uh then we will move on to Google analytics four what is it and uh why do we even need it instead of Google analytics we will also look at the ga Google analytics for architecture that how exactly it is designed and then we will move to the reporting and Analysis section wherein I'll show you the exact interface of Google analytics and I'll explain you know what all are the different options and how we can utilize all of those and obviously at the end we will have the question and answer sessions we will keep we kept the 5 10 minutes reserved for any question and answers but meanwhile feel free to go ahead and post your questions into the chat box and we will will take it up at the end of this session okay what exactly is Google analytics so just to answer to that question so you might have seen a different different kind of websites app so that you definitely you know every day you visit some of the other websites you install different apps and you interact with those so Google analytics is the tool that can help you collect the data collect the interactions that users are making with your website or App Store it onto the uh onto a place where you where you can access and see the different uh touch points different data points or the different dimensions and create a meaningful report from that data so that business can understand that how users are like for example from where users are coming onto your website whether it's India or a pack or email or Americas okay and also what devices they are using Okay okay so what are these sections of the website or the app they are particularly interacting with so Google analytics is the tool that will help you understand all of these things at one single place uh there would be uh you know for example if you look at the USP that uh analytics makes it easy to understand that how exactly your users are coming onto your website it's not just the website it's fine even if you have the app you can track those as well you'll be able to get answers to your questions uh for example you know where you're from where your users are coming uh what they are doing onto this website uh what exactly you know when exactly they are exiting from your platform and all of those things and uh ultimately you'll get access to a reporting platform wherein you can see all of these data getting captured so that you can start generating insights last but not the least Google analytics will help you you know integrate your data or ingest your data to any other Google own platform or any third-party uh platforms so for example Google analytics is just the one tool but apart from that we use many businesses use uh Google AdWords okay which is a platform that lets you advertise your business onto Google search or Google display networks so Google analytics will help you uh create the uh you know the type of audiences that you would want and you can Target as basically those type of audience using those uh advertise advertisement tools okay so Google analytics will uh you can easily integrate Google analytics with Google Adwords or any other third-party tools for that matter okay so let's quickly look at you know when it all started so back in 2005 uh Google had acquired this company called urchin okay and uh that was uh plain web Analytics tool at that uh particular point in time and uh after that Google introduced a first version of Google analytics called Gia classic okay and it was there for some time and after that in 2012 uh when Google have finally introduced this Universal Analytics and uh Universal analytics is there it's still there uh but it's just that apart from Google analytics they have introduced uh Google analytics or Firebase in 2016 and then GA web Plus app in 2019. okay before finally launching Google analytics 4 or ga4 we will briefly talk about what was Universal analytics and how it was working and the reason behind introducing this Google analytics for okay what was the reason that why we have to move to Google analytics for there are few uh basic terminologies that we all should know or at least we should be aware of okay for example page views in the in the websites we generally have different pages okay for example the home page or about us or contact us so all of these are Standalone pages and Page views is one of the metrics that will tell you that how many people have visited that particular page okay similarly sessions uh that will tell you that for how long a particular user was active on your website and there is a default setting that by after 30 minutes of inactivity the session will automatically be closed okay user uh is obviously a unique user who have listed your website okay at least once or twice depending on the devices that they have used next segment uh segment is basically kind of a you know that you can create yourself and this is on the certain filters uh that you would like to apply for example if you would want to see that users coming uh specifically from any particular region for example UK or or India then in that case you can create a segment for those users not only for Country you can utilize any other filter also for example uh the devices whether it's a desktop or laptop and the IPS okay and any particular geography or any particular gender uh you can you have flexibility to choose any of those filters to create a new segment bounce rate is one of the metric that will tell you that you know how engaging your website is because it will uh it will exactly you know tell you that how many users that came onto your website and bounced back from that particular page itself okay for example you landed onto the home page of any particular website and then close the tab or the browser itself then it will be a hundred percent bounce rate for that particular page okay time on page is again the average session duration or average time that user had spent on a particular page exit rate is slightly different from the bounce rate because the bounce rate is uh belongs to uh you know uh bounce rate could belongs to the different pages that you know and at the end it will gets calculated for the overall website but the exited will tell you that how many users have exited from that particular page only okay and obviously there are a lot of other metrics and the dimensions that we all should know or at least understand uh but for the session we can take note of at least these things now talking about the Google analytics account structure and the building blocks okay so whenever we create Google analytics account the first thing that gets uh created is the organization and under the organization we have we can have multiple accounts okay and under each of these accounts we can have multiple property and under each of these properties we can have multiple views uh think of a scenario wherein you uh you are part of any organization where you have a different uh different platforms okay and that for that you would like to track the data separately then probably in that case you can create a different accounts okay and one account belongs to each of these uh tracks similarly in the accounts you can create different properties for example one property for your development environment or the staging environment and other environment other property could be for your Productions okay and lastly about the views uh you can have multiple views uh onto any property and Views are nothing but a filtered data uh that is coming from that is coming on to the property itself okay there will be a default views that gets created every time and that will have the raw data without any filters applied but you can create new uh additional views from your side with a specific filters applied uh Dimensions dimensions and metrics uh so dimensions are the kind of a qualitative you know data about your website for example City okay City could be one dimension that can tell you that you know what are the different cities from where the users are coming and likewise metrics could be uh the quantifiable numbers uh which will tell you that you know what was the number of the users that are coming from different cities whenever you build any reports uh usually it's the combinations of the dimensions and Matrix only okay against each of these Dimensions you can apply one or more Matrix and uh same goes with Dimensions you can break down one Dimensions by any additional custom dimensions when it comes to setting up the Google analytics onto your website or app okay so there are separate ways that you can follow depending on the uh depending on the you know stages you are at or depending on the access that you have okay or obviously on the technicality uh you could select different options okay for example if if it uh if you have to integrate Google analytics onto any website then you can follow two ways one you can directly get the Google analytics code and place it onto the all the pages of the website the other option is to utilize Google tag manager which is again the tag management solution and this is not the topic that we are going to discuss in this webinar it just the uh options for you that I'm telling but uh it it's up to you that you know which option you would want to go ahead with but for majority of the customers I think it will be just a plain integration of Google analytics under which you can get the JavaScript code of kubernetes and get it placed by the developer on all your website pages the other other type of integration we have available is for app okay for example if you own an app and would want to get Google analytics integrated onto that as well so in that case you can get the sdks of Google analytics or similarly Google tag manager and get it integrated onto your applications okay or the mobile apps okay and uh it uh it doesn't matter you know which option you choose either Google tag manager or just the plain Integrations uh the tracking would still be fine it's just that uh you know in the future you would have to always rely on if you choose the plane integration that you would always have to rely on to the developer to make any changes onto the code but by a GTM you would have that flexibility to change those codes uh or change those scripts yourself there is one uh common problem right because I have explained the two different options that what are the options that you have to use when it comes to integrating GA onto mobile website and what are the steps that you have to follow when it comes to integrating Google analytics on your mobile apps okay so what is the reason that why we have to keep it separate all the time okay why we cannot merge it at least till now okay so because there are certain fundamental differences uh you know with the way that we are tracking both website and app earlier we talked about the page views okay and the page views are applicable only in case of the websites whereas in case of applications uh there are no Pages actually there are just these screens and we usually navigate across different screens okay um websites are always sessions and user oriented for example whenever you enter a website the session will start okay and all your data will be tied to that particular users okay but in case of apps it will always be events instead of the session there will not be any sessions and likewise there are uh in the website these are uh you can have very standard type of tracking to complex but in case of application it will always be very simple type of tracking in every case it will be just the events that you will be tracking all across okay and obviously this type of tracking would make sense only for the website but in case of apps you can have either Android or iOS app or both okay so how exactly we have addressed uh this which is we are combining the uh tracking the Google analytics for mobile app as well as the website into one single property called Google analytics for property okay so if you go ahead and create the new Google Analytics account right now uh then most probably you will be creating Google analytics 4 only okay because you will not be able to create Universal analytics property anymore and it will be Google analytics 4. and the major uh changes that you will see on to Google analytics for is that you would be able to combine your mobile your website data as well as the app data into one single property okay we will talk about that how exactly we have achieved this uh but just it is important for you to know that how exactly it is happening okay so in the Google analytics 4 uh we have we can see that there are different kind of connectors that we utilize to uh collect the data separately from the website as well as the app and then we combine it into one single property okay uh so apart from this uh this feature that we are able to combine the mobile the website data as well as the app data uh what are the other benefits that we will get uh when it comes to combining the data you know or using the Google analytics four property so in the Universal analytics uh we have we only had access to the sample data okay so sample data means that uh that is not the complete data that we are looking into Universal analytics uh for example after a certain number of users we when we cross that threshold uh Google analytics will start sampling those data for example basis on the behavior of the first hundred or thousand users it will extrapolate those data and accordingly you'll be seeing those into the report but with Google analytics score you will have access to the unsub unsampled data so it will always be 100 unique and without any text application now you will also be able to create the custom reports using Google analytics for because earlier in the Universal analytics all you have access to is the dashboards or the reports that you could create and share but with uh Google analytics for you can create custom reports with all the events and the parameters that you have access to and you can always share it with uh all the people that you want to share next the machine learnings so there are a lot of modelings that is getting applied in the Google analytics for properties so you would be seeing uh certain reports that gets populated by default okay and that is coming from the ga4 machine learning modeling capabilities uh with ga4 we also have access to uh additional type of attributions and for those who don't know what exactly is attributions so uh attribution is basically a way to give credit to the uh conversions that is happening onto the website for example if users are coming to your website and making the purchase then it might make sense for you to look at you know what is the source of those users who came onto your website and there could be multiple sources that have driven that user uh okay that have contributed towards that conversion for example a user could have searched uh on Google search for your business and then they might not have made the purchase but after that they might have came directly to your site okay or came via email campaign so it is important to look at the different sources from where you you are getting your users who are actually making the purchases so attribution will help you understand that you know what are the different sources that are contributing towards your conversions and you can utilize different type of conversion for example time DK or linear conversions and accordingly see that you know what was what is the attribution model that fits best in your case so as as we discussed earlier in the Universal analytics we have uh users who are coming onto your website and they are having different different sessions okay and uh in the in every session they are having they are sending the page views it's or they are sending the event heads okay so all of these data gets tied up with that session and ultimately to that users okay but with ga4 uh all we have is events okay different type of users uh whatever the users that you that you are getting onto your platform all the uh all we are we will be getting is the events for example if they open an app or if they open a website then it will be a page view event okay or app open event and ultimately it gets reported to that particular users okay uh or user property and then that's how exactly we will be able to identify users onto the platform okay uh so there is a different mechanism that you know how exactly Google analytics 4 will be able to identify each and every user that is coming onto your platform okay so there are three factors that Google analytics 4 is considering uh towards identifying each and every unique users onto the platform uh for example Google signals is the one attribute then we have user ID which gets assigned to every user every logged in user or authenticated users and it will never change for every for any users who have who have logged in onto the platform and the device IDs obviously so you Google analytics 4 in Google analytics 4 we combine all of these data together to identify each and every user that is coming onto your platform and accordingly we will uh Google ads4 populates the report of different events and different parameters all right enough of this Theory now it's time to let's move on to the uh actual demo part okay wherein we can see exactly how this Google analytics 4 property looks like so someone asked Shankar so is asking that Google analytics only used for website and app traffic analysis or some ads are there I don't know what you mean by some else are there so majorly it's the website and the apps okay the other type of platform that I could think of is the hybrid apps but again those will also be categorized into the apps itself so uh absolutely Google analytics will be able to capture a website or the app or the hybrid app for that matter okay so madhavi is asking that how to get more hands-on experience on ga4 okay so I had actually searched for it so you can just Google Google analytics demo account and uh you can go to that first link it will tell you uh the options to create the demo account uh the only thing that you would need is the Google account or the Gmail account okay and Google analytics will give you this option give you this demo account where you can you will see that there are three four properties that are already created and you can utilize any one any one of these property to familiar yourself with Google Analytics 4. okay uh Nishant uh till now uh Google analytics or the universal analytics free a free version was absolutely free although there is a premium version that is called Google analytics 360. so that's the paid version okay and at the cost depends on uh the volume the data you know the amount of data that you have for example the users that are coming onto the onto your platform and the amount that you know the number of interactions that they are doing onto your website okay and same goes with ga4 also till now it is free it is absolutely free you don't have to pay anything for using ga4 so aslay uh you're asking that are you covering Google tag manager in this segment uh so no the answer is no we uh we might be able to plan another session on Google tag manager all together but definitely not in this session this session is purely focused towards Google analytics only so someone is asking that whether Google analytics or the data analytics are same so to answer this question so Google analytics is the one tool that we are talking about and it is the web Analytics tool whereas the data analytics is the kind of a industry okay wherein we get data from all different sources not just Google analytics it could be offline sales it could be CRM data or any other any other type of data and we do the analysis with those data that are getting collected GA used for only web access or even give grabs on profit and loss of particular product so it depends you know the kind of data that you would be providing to Google analytics so Google analytics would be able to capture uh all the data that uh that you have available onto your website or the app uh it could be the product uh sales data checkout data or the Revenue data for that matter and you can manually export or import uh offline sales data as well for example the returns okay and that's how you'll be able to calculate the exact Revenue for your business so Firebase was the earlier version that we are using to specifically track the uh data for the apps okay will there be any real life scenarios covered in this session from scratch so that I'm going to do right now okay that's great to hear that today I bought brought in Google analytics data into Power bi and was exploring it okay so that's great to hear so that's irrelevant which type of database is in more demand mongodb or SQL that is not relevant for the session so what is difference between ga360 and ga4 so as I said ga360 was the premium version of Google analytics the earlier version of Google analytics wherein ga4 is the recently introduced version of Google analytics wherein you can combine almost the data of web as well as the app how geofon Analytics tool learning help in get a job so obviously if you are into this industry of data analytics uh you at some point you are going to need it ga4 uh because it's one of the popular tool that majority of the business businesses he uses okay how exit page word to get inside of users I am not able to understand this question so how exit pages were to get inside of users Dinesh probably you can refrain your question so that I can understand excited to see the practical application of ga4 all right let's do that okay so right now uh in the screen you can see that I have a free version of this ga4 account the demo account that is already created and we we have seen we are already seeing the data that is that is already coming in onto this platform okay so right now uh these are the options that you see so what you are looking right now onto the screen is the demo account of Google analytics for property that is the demo account offered by Google and you can as I said you can go ahead and you can have access to this demo account for you as well and uh in this property uh we are already seeing the some data that is already flowing in so ga4 flooded flooded is the one of the game that Google have created for this particular demo account okay and that's absolutely a game and in the game you can always think of different stages okay different levels that users have to clear and it might have in purchases activated which might require you to make the payment before you unlock the next level okay so stuff like that that is the flooded game is all about and right now on to this property we are already seeing uh the data now if we talk about the account structure so as I said in the Google analytics account I can have I can create multiple accounts this particular account belongs to ga4 which Google have enabled it for me for me and in this one demo account I can see different properties okay flooded Google merchandiser store Google merchandiser store the other version of the universal analytics and uh the thing that you will notice is that there are no views okay but in this old version of universal analytics account you will always have access to different different views okay and the views are nothing but uh the data with the filters applied okay now we will stick to this flooded application only and we will see that you know what all type of data that we are collecting for this applications Now quickly look at the admin section first that what all we have into this particular admin section okay so as always we have account settings enabled here and then we have uh ga4 properties there are some of these options are same for example the setup assistant okay if in case uh you have the universal analytics account and you would want to migrate to ga4 account then I think this setup assistant will help you achieve that okay there are some simple on-screen steps that you have to follow I'm not going to cover all of those steps but uh but this will be the place for you to migrate to Google analytics 4. now when we talk about the property settings it will always have just the basic data basic configurations the property name the industry and the reporting time zone but uh data stream is one of the area which has been introduced along with Google analytics for wherein you can see this thing called data streams okay so data streams is nothing but a connector uh that will help you connect different kind of uh platform that you have available for your business okay for example uh you might have a website for your business and at the same time you might have Android as well as the IOS app for your business so what you need to do you need to create a separate data streams for each of these platforms one data streams could be for the web or the website one could be for Android and one could be for iOS okay uh in case you would want to combine the data for the apps for example Android and iOS into one's data stream so that would not be possible okay you have to integrate those uh two uh platforms separately okay but for the website it will always be the same whether it's a react JS or angular whatever type of platform you have uh built your website built on uh you can always utilize the web Now quickly looking at this particular property so in the web data stream you have some of these configurations so for example uh stream ID that is populated or created by default for you okay and the measurement ID okay you might have noticed in Universal analytics or not but uh so but anyways I'm telling you that in case of universal analytics it will always it will always start from UA hyphen uh some numbers and the strings right but in case of ga4 it will always start with G and have these random strings okay so these are some valuable configuration that gets created by default or as soon as you create your new ga4 properties and there are certain configurations that you can always control okay for example enhanced measurement enhanced measurements are nothing but uh some pre-populated events that ga4 will Track by default for you okay for example page views it will always uh be it will be tracked by default if you have the enhanced measurements enabled okay and similarly with the Scrolls or odd bondings or the exit links and few more okay for example file downloads but in case you would not want to uh go with enhanced measurement option then you can always turn it off that's absolutely fine okay but you need to make sure that you have these uh tracking set up differently set up separately for your website or the app okay in case you would want to remove any of these events for example people if you think that the page views are fine but you don't want to track Scrolls or outbound links or the file downloads then you can always turn it off by going to your settings okay modify events modify events are some of these you know in the kubernetes four yeah it's all about events right page views is the event login is the event sign up is the event so we just have the events and modify events are nothing but you can just modify any existing events and similarly you can create a new event because we have a limited access with this demo account uh we you will not be able to see that options to create any new events okay but you might need to create new events depending on the additional tracking that you would want to enable for your platform for example uh in case you want to track the login interactions okay and that is not getting tracked by default then what you need to do you can create a new event for your login go to your website and ask the developer to enable that uh code against that login interactions okay so that you can start capturing it but the scenario would be different in case you have Google tag manager uh you can do that yourself okay considering we have uh the remaining things in place okay so that is pretty much about the data streams similarly we have data settings wherein we can see that you know uh data retention configuration for how long you would want to retain your data we have the data filters we have the reporting identity enables for example we can tell uh tell Google that you know whether it has to be Blended or observed as I said these are the three four properties that uh ga4 is utilizing to identify each and every user that is coming across coming from different devices only difference with Blended and observed is that in the Blended the machine learning capabilities of ga4 gets applied but in observed it is not there are different type of products uh external products that you can link to again as I said Google ads could be the one platform that you can link and share your data with Google ads you can export your all your data of ga4 to bigquery which is again a free uh not free but exporting your ga4 data to bigquery would always be free I mean at least till now it is free and you can utilize the SQL uh your SQL skills to generate you know required reports similarly you have other applications to links to okay that is enough of the admin section now go let's go back to the home section again and uh here we we are seeing the high level details about the platform like for example how many users we are getting onto the platform uh and out of those how many new users were there uh what is the average time that they are spending what is the average revenue or the total revenue that we are generating here you will get the real-time reports as well uh that is uh of last 30 minutes you would be able to see that you know how many users you have got in the last 30 minutes so it is quite similar to the real-time reports that you have uh that you'll find into Universal analytics as well okay and also you would be able to see that you know what are the different uh countries from where users are coming onto the platform these are the some of the high level uh you know these are the cards that will tell you that what are the different options that you had just visited okay insights and recommendation as I told you these are coming from their machine learning capabilities which we had already discussed so these are getting populated using the ga4 uh machine learning modeling and it will all it will always tell you something meaningful about the data that you are getting okay for example day 7 user engagement of news is increased by 158 okay so that is that could be probably one of the uh data points that you might want to act upon reports is quite similar to the pre-populated reports that you see that you have seen onto Google analytics uh here you would see you know the pre-populated reports for example you can go to engagement and click on events and you would be able to see all the events that are happening onto your platform these are the list of the events that you see that you that we have already getting tracked for this applications okay for example screen view or the user engagement okay levels completed and all of those things and accordingly you would you are seeing the different type of metrics uh for example the event counts how many times this particular events has been performed okay how many totally users who have resulted in these many events counts okay and what is the average uh event count that is being performed by every user okay and what is the corresponding Revenue that is getting generated so these are the default metrics that we are looking at in case we would want to add any additional event or look at any additional event then you can always click on this plus icon and you would be able to see those custom events or the demographic events okay General all of these things so this is one of the events report and similarly we have the acquisition reports okay and that will tell you that from where exactly you know what was the source from where the users is coming from uh the direct display paid search organic search and all of those things that is coming from your default Channel grouping report just go ahead and read about uh Channel grouping in case you have not heard it before so uh that is the report how the report looks like okay demographics there is a separate report uh on demographics that you would see onto Google analytics for okay similarly you have technical Tech reports that will tell you probably the device wise data that you know what are the devices that are being used by different users I think we can move on to this section that is the important one and this is a really an important feature that has been introduced with ga4 that is the custom reports okay so that is the one section where in you can create the custom reports okay for example if the reports that are not getting populated by default under reports then you can always go to explore section and create a free uh free form table or any other custom type of report for you okay and here you will see you know if you have worked on any bi tools before then it will look similar okay for example you can always use this event name data here okay to populate any custom reports similarly you can create utilize the metrics okay there are certain metrics that are getting populated by default but you can always select the new one you can create a new type of utilize different type of graphs or the charts for your reports okay these are the different options that are enabled these are the breakdowns you can choose to share it with any reports in a report any Report with any user okay and again the permissions are limited so I might not be able to show you that option you know how exactly you can share it okay and again it can have uh multiple tabs in one single report okay uh and every tab commit belongs to you can dedicate it to different different sections for example you can just uh name it as overview okay and probably if the next one you can name it as acquisitions okay and similarly you can name it as engagements okay so you can create any number of tabs that you would want here okay and you can always choose you know what type of report that it would be it could be either free form cohort funnels segment overlap or path explorations okay uh advertising is the place wherein you can go ahead and utilize the different kind of attribution modelings that we just talked that we just talked about okay and we can also see the conversion paths that will tell you that you know what are the paths that users are taking to uh finally make the purchases okay so these are the reports uh and that will tell you that what are the sources uh for those kind of users who are converting most onto your website okay there are you can always choose these modelings uh for example data driven is the additional last click is where you attribute all the credit to uh the last click Source where that click have happened before making the purchase uh first click linear position based time Decay so there are different kind of attribution modelings available that are also there earlier but here in uh you have that AI modeling machine learning modelings applied with ga4 okay and that will give you more refined reports configure is the one section wherein you can go ahead and create the new events as as we talked earlier so these are already the events that are pre-populated and you can uh Mark any of these events as conversion events okay so that you can see that how many times those conversions are happening onto the platform okay these again these settings are disabled but you can always uh disable and enable those any particular event that you think that that can be counted as conversions okay and you can create any new event for example I can create one for flooded web but again I'm not able to show you that options okay so that is pretty much the the date range filters anyways is at the same place uh I think that's uh pretty much it about Google analytics and Google analytics 4. now let's quickly head over to the questions part uh if people would want to ask questions they can raise their hands and probably we can unmute them so the first question that we have in Q a section is by Alvin young uh who's asking that what is the difference between account and property okay so as as I think I have already explained it but let me explain it again so account is the in the hierarchy it is the top level uh you know account uh top level structure wherein with any email ID that you have you will be first creating a new account okay in using that account using that email ID you can create you can always create multiple accounts okay account is nothing but just the uh you know just to make sure that proper hierarchy is maintained uh Google analytics offers you lets you create the account first okay and that account under that account you can create multiple properties okay and as I said that properties could belongs to different different environments of your website for example one property could be for staging or Dev One Properties could be for production environments okay so that's how you segregate uh the data okay and uh you can accordingly give the access to every individual the who whosoever needs it so and under using your one particular email account Gmail account you can create multiple accounts and in every account you will always have uh that flexibility to create multiple properties okay and again as always in every single property you can have multiple views uh the next question is how exit page where to get inside of users so again this is the same question I'm not able to get this question but just if I have to explain you know that what is the exit rate so exit rates are nothing but uh you know the percentage of the users that are exiting from any particular page for example you have five pages on your website and you are exiting from the fourth one then probably uh the fourth page the exit rate would be calculated okay are you covering Google tag no what is Firebase so Firebase uh is the platform where uh we were doing all the tracking for apps earlier but right now we don't need it anymore because we already have ga4 okay so what is the other Matrix can you please tell name so page views sessions average session duration exit rate could also be your additional metrics okay uh purchases okay orders unique orders so there are a number of metrics that I could explain but I'm afraid that we don't have that much time how ga4 Analytics tool learning help in get a job I think these are the repeated questions that I have already answered I think you can probably confirm this I'm not sure whether the PPT will be shared with all the attendees or not what is the difference between g8360 and gfo that has all also been answered okay just imagine my website suddenly crashed or something went wrong how does Google analytics behave in this situation like does my ads still work on it or me forecasting settings I mean settings is still active or do I need to redo everything is uh event in ga4 okay so nothing will work if your website is not working okay that's for sure and Google analytics uh will be able to capture anything if unnecessarily until uh you know that ga4 script tag is placed onto the website and is not getting removed and for example if the website is crashed so nothing will get stacked but the moment you uh you fix everything and you make it live considering the ga4 code is not replaced then from that moment onwards uh the tracking will work absolutely fine okay exit rate is not like a bounce rate okay the question is exit rate like bounce rate no it is not how exit rate can give inside of users so uh that's a great question actually so exit rate okay for example you see uh you see people are moving across different different pages okay and exit rates are fine across all the other pages except one page okay uh which could be your product detail page for that matter okay so the kind of insights that you get from that page is that probably something is not right with the product detail page okay maybe you are not showing the product images or maybe you are not showing the prices okay because of which uses gets confused and they are just trying to get away from that particular page or your website or your business all together okay so that is just the one type of insights that you can get from exit rate similarly there could be others can you please tell difference among first second and third party cookies yeah so first party cookies are the cookies that belongs to you or your website only for example you own a domain okay so the cookies that gets ingested any cookies that gets gets ingested with respect to your platform okay with respect to your website uh for example we might need certain cookies to make sure that the login session is maintained okay so that uh there are separate cookies that would be required and those will be counted as a first party cookies second and third party cookies are the cookies that you don't control yourself but you still have uh those placed onto your website and uh getting those ingested into the user's browser okay for example Google analytics could be the third party cookies uh that you would have to uh you know that you have to insert onto the user's browsers users browsers so that you can track the important interactions with respect to your website uh and get those sent onto Google analytics okay because you are not collecting it or you are not storing it anywhere um okay so the last question says is Google analytics same as data analytics so again I have already answered this and again it is not same as Google Analytics okay so I think we have answered most of the question yes madhvi so you cannot manipulate the data with the demo account uh of ga4 uh probably you can create a set up a new demo website for you and get new ga4 property created and then probably you can start exploring it from there so yeah I think we are all sorted and we can wrap up the session all right thanks everyone thanks for your time and thanks for joining [Music]