Chartio Webinar: Advanced Google Analytics Tips & Tricks with Analytics Pros

hello welcome to our advanced Google Analytics tips and tricks video stream we're super excited to have you I'm Emily from cardio and just to start off we have a lot we want to cover today we're going over the advanced functionality of Google Analytics so we're covering features that are fairly new and for users that are already decently comfortable with the bottom so I will start with introductions so Charles yeah I'm really excited to be here so as Emily mentioned my name is Charles I am currently manager of digital analytics analytics CROs and I'm really excited to share with you all because I've been using Google Analytics for about 10 years now the last four of which have been with analytics pros and if you're not familiar with us we're one of the premier resellers of the Google Analytics 360 suite so I have the fortune of working with clients like GoPro Tesla Estee Lauder and kind of everything related to Google Analytics so my plan for today is over the past ten years I picked up all sorts of tips and tricks on how to actually use the platform instead of just how to use it to collect data and I'm hoping over the next thirty minutes to kind of share some of the most valuable advanced tips so that picked up along the way that hopefully you'll be able to immediately apply to your day-to-day business awesome thanks Charles and I'm Emily I work at cheerio I'm the demand generation marketing manager I've worked in digital marketing for more than five years I've worked in some small startups all the way to enterprise level teams and I'm fairly comfortable in Google Analytics and then I met Charles and realized I have so much to learn so we're really excited to partner with him and go over some of these new features so for today you should know that we've enabled the live chat feature on this live stream so feel free to write in comments or questions as they come to you but do note that we're not going to go through these questions until the end of our strange and within the last five minutes and also remember that this is going to be recorded so we have a lot to cover and if you don't catch something or if you went through something a little too fast you can come back to the same URL and review rewind as much needed so on that note our agenda is we will first cover how to use Google Analytics when approaching your content on your website and measuring engagement on your website then we're going to go through different types of attribution when how should you approach attribution for your business all of that then we're gonna go through Google Analytics and try do so we all have some struggles when it comes to reporting and custom dashboards and Google Analytics so that's when we're going to talk about using it as an API with other products such as ourselves and then we're gonna open it up to questions and answers so on that note I'm going to pass over presenting rights to Charles and Charles you're muted thank you so as Emily mentioned I'm really excited to share with you over the next 30 minutes or so different ways to actually use Google Analytics actionable one of the biggest pain points that I've been experiencing over the past few years as I feel like there's no shortage of resources on what's the right way to use Google Analytics but I don't really ever see many examples of people actually using the platform to improve their business make better experiences for their users and actually show kind of an ROI from the time they're actually investing and setting it up so I'm gonna go through a variety of kind of random questions that almost might seem random but different techniques that I've picked up again over these past 10 years of how primarily using attribution and then content and engagement to actually drive some things that you could actually use the data you're collecting or if you're not collecting that data on different techniques you can use to actually use the platform action ibly so the first set of questions that I wanted to kind of go over is pose questions and then show you exactly how we would answer these in Google Analytics and what's exciting about this session as Emily mentioned it's recorded so you can come back and reference this at any point but I also want to point out that while I'm doing this you guys can all have access to the exact same data but I'm looking up so if you don't already have a good implementation of Google Analytics or you've never even used the platform before if you simply search for Google Analytics demo account all of the exercises I'm going to be going through today we'll be using this demo account that anyone can go through and by simply clicking this access demo account can I have access to the same data set that we're going to be using for these questions so to start off with and what I wanted to do as an example I've been had the fortune of kind of training users across the globe and how to use the platform and some of the questions I've been asked most frequently can be very challenging from the kind of first pass at them so a question like how can I identify my most valuable users and the reason this question is important is because if we can identify our most valuable users and how their traits and their experiences are unique to them we can begin to start to segment our audiences and understand what types of experiences our different verses are less engaged users because we always need to be cognizant of when we make changes we don't want to upset any of our loyal user base or take away features that they might have been using that we had no idea so this question of like how can I identify my my most valuable users is a fun one to start off with so not many people know but about a year ago Google added a brand new report in Google Analytics called the user Explorer and what the user Explorer allows us to do is to go in and identify an individual user and understand everything this user is doing from the time they first visited our website all the way through to the current date and time so right now if we look at this report we have client IDs this is simply an anonymous identifier of who this user is when they first visit our web site and the way you could use this report is if you're an e-commerce site like this you can simply sort by revenue or if you're a non ecommerce site so maybe you're looking at form submissions or doing some sort of other conversion on the website you can add an audience to the site and then it allows you to identify everyone in those conditions and understand everything about them so as an example I have a user here this the user had 16 visits and spent $8,000 in three separate transactions in the last 30 days I can actually go into this report and by clicking on this user see everything about this individual user I can see on the left-hand side how they first found and and got actually to our brand so they came direct by typing in our URL directly in the website I can see the device category when they last visited and then I can see their lifetime value on statistics at the top so their transaction is the revenue how many goals and this is LTV so how much revenue they spent only a lifetime versus how much they've spent in the current time period we're looking at and what's exciting about this is often when we talk about having it can be hard to actually understand how a user flows or interacts with our content so I can actually go into any of these visits I have three hundred and three different rows of visits to explore but I can go in and actually open these up and see everything they did so on September 15th at 12:48 that's when their visit ended and for this particular visit we can see they spent nine hundred and forty six dollars and that was the last thing they did in their visit before ending I can see everything they purchased in this particular visit and if I start going back I can actually see everything they viewed all of the goals all of the events they interacted with so here's what they checked out with and this can actually open up some very interesting use cases like exploring okay what do they actually check out with versus what do they actually go through and purchase and did they remove or add things from the cards on how did their visit evolve over time so I use this report all the time to understand a little bit about padding and kind of what different audiences are doing from a beginning to an end standpoint and towards the end I'm gonna go through another really actionable use case around pathing which i think you'll enjoy as well another question that I get asked all the time is what is a good bounce rate so for this a lot of you might know that Google Analytics actually has benchmark reports and these benchmark reports allow you to actually go in and compare yourself versus another vertical or another industry so the thing is I don't really find these benchmarking reports actionable and I've never really seen anyone use this to actually improve or make a difference or change anything so when we talk about bounce rates what I like to do and instead focus on is focus on your own bounce rate and we can use your own bounce rate as a proxy to actually make changes and find opportunities all throughout your site so an example of how we would answer what is a good bounce rate is we could go through and for example look at the behavior report and then the behavior report we have a report called landing pages and this is the entrance page how users actually found our website so using this I can see how users found our website and then I can see the average bounce rate and each page compared to that average now it's important to note about a bounce rate is it simply a single page visit depending on the type of content and the vertical of your site there's actually times when a high bounce rate is good so for example if you have a support section of your site it would be amazing if your support section had 100 bounce rate because that meant that support article likely answered their question and then they never came back or looked at anything else and that would be an indicator of success so what we can do to start to segment out our bounce rate at it as an internal benchmark is use a hidden feature on the right hand side called the comparison feature and when we click on this little button what it allows us to do is select a metric like bounce rate and it benchmarks your overall bounce rate and then compares each individual page versus that average so on an average we're at fifty three point five five percent and we can see for each individual page red is bad Green is good so if I needed to for example find where are some quick ideas for improvement this is a great place to start so the really actionable way to use this is let's say for example you're driving paid media at the website paid media almost always has a high bounce rate and I often find that paid media managers don't actually spend a lot of time finding which landing pages aren't resonating with their users you might have high performing campaigns but situations where the bounce rate is actually indicating that there's a problem with the content not necessarily the campaigns so we can actually go in and one of the advanced features of Google Analytics is the secondary dimension button I can actually add traffic source information into this and then use this as a benchmark so right now I added the medium which is the channel and I can go in and say okay I only want to look at all of our paid traffic because it has a significantly different bounce rate than the rest of our traffic on average and we can see when we apply that the average now for all of our paid traffic pages is 80 percent so four out of five people leave after only seeing a single page and now I can simply scan this list and see for all the pages where I'm driving paid media which pages am I actually seeing a higher performance and which pages are performing significantly worse like this Google flashlight page and I can use this as a start for ideas as where maybe I want to go to optimize my website or where I need to go and potentially find different things on that page that are working well and see if I can bring that to other pages and then obviously use this to measure the results that happen after so that's how I answer the question around bounce rate and also what I just shared with you is a fantastic way to actually identify pages to do a/b and multivariate tests on so identifying which page on your website needs the most attention a great proxy to do that is find okay which pages are over performing or underperforming from a new visitor perspective another question that I often see or often maybe see done incorrectly is around the home page so oftentimes when I have the fortune of working with clients I see that there's actually way too much time and focus and budget it allocated to the home page versus the other pages or experiences on the website so many people think incorrectly that the home page is actually the most single most important page on their website and the kind of thought is that it's the place people go to navigate throughout your website and every website is different so this is something you want to check for yours but using this Google merchandise store we can check that for their site as well so we can start off by going to the all pages report which simply shows us how much content is being viewed throughout the website now we can see by actually looking at this the home page actually only gets 20% of all of the views of that content and more than half of the traffic actually enters our website somewhere else other than the home page and what's interesting is I always like to look at is the pageviews versus unique pageviews typically for your site if the home page is a navigational point what you would tend to see is users that keep coming back to the home page multiple times within that visit in this case we can use pageviews and unique pageviews to actually see the difference between - so since the unique pageviews tells us how many times in a visit that page was viewed so the higher the page use is than unique pageviews is how often they're coming back in addition to a single time in a visit and since these are close together it tells me that users aren't really using the home page as a navigational point because they're not coming back to it again and again to go in and find something else on the site so that's a great way to actually start looking at the home page another thing related to the home page that I often get asked is how can we identify how many users converted after seeing a particular piece of content or after viewing the home page so when we look at a report like this in Google Analytics what you'll tend to see is there's no conversions assigned to content or pages so if we wanted to answer a question like how much traffic did we get to our blog and of that traffic what percentage of that traffic went on to convert either purchase sign up for a newsletter fill out a form there's nothing in their report that indicates how many people actually went through and took an action so what we can do is we can actually go in and one of the most important features in Google Analytics is advanced segments advanced segments are what separates you from a beginner users and a more intermediate or advanced user and the reason why this is so important is because it allows us to isolate all of our traffic and then filter the entire platform to tell us everything about that audience so when we want to ask a question like how many people did this and then that there's a feature in advanced segments called sequences where we can establish an order where actions occur in so the first thing I'll do when I go into here is I'll change my scope to users because I want to look at users that view a particular piece of content and then convert it and then I simply define my steps so I can say as an example step one we want them to have viewed a nest page and then we can say step two is then we want them to have gone on and done a certain action in that order so I can say for example Tran actions / users is greater than zero so mewed anest then purchase on the right hand side we can see exactly how many users match this audience so there's 1056 users so I can save this audience and now I can take this audience to any report and answer any question I have about them so as an example if I wanted to see how much revenue is being generated by people who viewed the blog or in this example of you to nest I can simply go down to the conversions report I can click on ecommerce and go to the overview and this audience stays sticky on the top so every report I go to applies this particular audience and now I can see that these particular users spent two hundred and eighty thousand dollars from viewing an S and at some point later in that transaction they purchased so this is a great place to use advanced segments to answer particular questions you have around those audiences now I think the last two examples I have for contract engagement these are ones that I think are pretty important so how can we use Google Analytics to actually generate content ideas so for content ideas Google Analytics is mainly a quantitative solution so there's not a lot of examples of where we actually get qualitative data into the platform but there are a few places and a few different tools you can use to actually get qualitative insights to tell us more about what our users are looking for or what they're doing so one example of that is the site search report so in the site search report if your website has a search module one of the most important things about on-site search when users search for things on your own website is it's an opportunity for them to tell you exactly what they're looking for so this list is potentially full of content ideas so many of the clients I look I work with will actually go through this list and look for search terms that maybe have a high percentage of search exits those are users who search for the term and then they leave without looking for an thing else so these are opportunities where there may be quick fixes you can have like adding a skew to the product search so it returns the relevant page or actually writing a blog post around a keyword that has kind of never been thought of before and may actually start ranking next month so this is an opportunity to actually get ahead of that curve another example around qualitative data which is kind of separate but I love to talk about is kind of session replays so Google Analytics is fantastic about identifying users and sessions and visits where certain things did or did not occur so as an example many of the clients I work with they'll use event tracking to track different things that are happening on the website look whether they're watching a video filling out a form or in this example we actually captured JavaScript errors so as our site starts to actually emit airs in the console we have an event in Google tag manager which passes that error message into Google Analytics so we know that 35 times and 668 total times a script error actually occurred now one of the interesting things about this is there's a tool called session cam and session cam is a tool that allows you to actually record sessions that happen on your website unlike char do they have a great integration with Google Analytics and I went through and I added session cam to my website and added this Google Analytics integration and I can add this session cam ID in any report in Google Analytics and it actually has a browser plug-in where if I click a button it'll actually take me into that session replay so I'll log in real quickly give me one second and now for this individual user who saw this individual air it can actually take me into their session like I'm looking over the shoulder and I can watch exactly where they did so if I'm trying to reproduce an error or reproduce something that resulted in a failed registration or I'm trying to understand what users do before and after they watch a video using something like a session replay and integrating with Google Analytics is a great place to connect that qualitative data so something I would definitely recommend looking at and I've got a great blog post on session cam and Google Analytics on my blog that we can send the link to after all right moving on the next section we have is around attribution so everyone talks about attribution and Google Analytics does a pretty amazing job I think at helping us move the needle on attribution and I think everyone could probably agree that first touch or last touch isn't the right way to do attribution but what I find is still to this day almost everyone is still using first click or last click or kind of any touch which Adwords and double click will actually report on and for many organizations it's really hard to actually prove and show why you should even be thinking about attribution so one question that everyone should be able to answer after this webinar is should you even be thinking about attribution or does attribution even matter for your particular business and Google Analytics can answer this really within a few minutes so what's important to note is Google Analytics like almost all analytics tools the way it works out of the box is all of the reports are set to kind of a default attribution model so in Google Analytics when we go for example look at our source medium report we're looking at mostly last non direct click so if there's two channels president present in a conversion path really the last one gets all of the credit now Google Analytics has a set of more advanced attribution features and the first example of that is inside of multi-channel funnels so multi-channel funnels uses a linear model to share credit equally to allow us to understand how our channels work or don't work together so as an example you should be able to answer or already have an answer to the question of do you need an attribution model and or should you be thinking about attribution and you can answer that by understanding on average how long does it take between a user when they first visit our site and when they eventually convert and how many touches usually occur in that time period is it a single visit is it five visits is it ten visits because the reality is if your business has a model where almost everyone converts in a single visit on the same day you can use whatever attribution model you want it doesn't matter but the more varied it is the more important these types of conversations are so we can simply go to the time lag report inside of multi-channel funnels and in here we can see for any sort of conversion so I can simply select transactions or a form submission or download exactly how much time occurs between the first visit and the final conversion so 63% of all conversions or transactions occur in day zero which is the same day they first visited but that means 37% and roughly 45% of all revenue occurs one to thirty days later after that initial visit and if we look at the path length it's gonna tell us how many visits occur prior to a conversion or transaction and by simply clicking on this report I can see that 65% of all of my transactions and 70% of the revenue occur in two or more visits so this tells me for this business and if this is a business I'm analyzing having conversations around attribution is essential because almost every one of my users about 70% are actually converting in two or more visits when they do convert and what's exciting about this is without having to go in and figure out what the right attribution model for you is you can use these reports to actually get some really granular insights on how your channel is do you or don't work together so by simply going into the top conversions path report I can go in I can look at all of my all of my potential conversion paths and I can go in and as an example I could search for display and Google Analytics to my knowledge is the only platform in the world that can actually tell us exactly when and where display conversions occur from an impression standpoint so how many people saw a display ad didn't click it and later came on and converted so if I actually go in and I add a campaign or a source medium I think it as granular as I want with my traffic source information so I can actually see in this example here's a here's all of my hundred and forty-one conversions that involve display that was forty four thousand dollars at revenue in the last thirty days and here are all the conversion paths where display was present and I can start to understand as organic and display overlap do I see instances where my paid and my display or email and display are overlapping or does that never occur and in this example for display one of the arguments everyone usually has is would the user have converted had they not actually seen display ad did that impression actually matter in this example we can see display was the first touch point this user ever had with our brand but the direct next one this particular two users came to our website 18 times by typing in our URL then happened to see to display ads for our merchandise store Electronics campaign and then typed in our website six times so if this was a brand campaign the user already knew about our brand at this point and I would likely not want to give as much credit but in this example and number two the electronics store absolutely deserves credit because that was the first experience this user had with our particular brand so using this we can get as granular as we want to simply understand how our channels are overlapping or not so I can type in social and see every single social touch point whether it was first last middle and start to understand what the overlap and my particular channels are so this is an amazing place to go before you turn on or turn off certain types of campaigns or media to simply understand and make sure that you're not losing something that might actually be performing and eventually leading to outcomes that are have on the website so those kind of go through most of the touch points that I wanted to talk to you from attribution and the big takeaway here is simply evolving and taking it to the next step of understanding that there are really advanced and indef attribution features that we can do to understand how our channels are working together without getting lost in the conversations around what the right attribution model is or kind of shifting an entire business to something else so those are kind of my quick takeaways for different ways to actually use Google Analytics and I'm really excited to hand it back over to Emily to talk about some examples of using char do and Google Analytics together one of the biggest challenges that I see many companies and brands that use Google Analytics is actually how to connect different data together Google Analytics is usually one of the data sources involved in your marketing stack but it's not the only data source so we're talking about things like CRM or cost data for things that aren't Google like being or kriti o or we're talking about different data sets entirely like bigquery or redshift it's really important to talk about how Google Analytics can fit in and Emily and the chario team is going to share some examples of that before we get back to questions and answers yeah thanks Charles awesome awesome stuff so I'm going to talk a little bit about how Tardeo can help with the reporting gaps you might experience in Google Analytics so if you can see my screen we can connect to multiple data sources right but we have a direct connection to Google Analytics by adding a data source as you'll see the variety of apps I'm gonna scroll down and show you Google Analytics and then all you would do is log in through whatever Google account you have associated to your Google Analytics um I'm gonna do defaults it so you'll see after I connected Google Analytics to chario there's a default dashboard that's already going to be loaded in here what's awesome is that if you want a high-level overview of all of those awesome statistics and metrics that you see in your Google Analytics account you can see it in this dashboard without having to do any work so we've taken the metrics most people care about and try to visualize them in ways that are intuitive and helpful so you'll see this is completely customizable if you want to resize your charts maybe you want to go in and edit the metrics that it's pulling for example you can drag and drop new Google Analytics properties and metrics change how you want to visualize your data and ok so this is a great starting place and you can go in and adjust your dashboards and charts we've got map views single value views you can review all of your different traffic sources and maybe you want to even create a new dashboard and and clone a specific chart and retitle it you could really do anything that you please out-of-the-box in a few minutes with the free with one of our free trials so if you want to continue to explore the demo dashboard feel free you can go through our website and connect to Google Analytics through a free trial but the one thing that you're going to see is you still can't drill down into personally identifiable data that's not a Google Analytics thing if I ever wanted to drill down and actually see okay out of all these sessions or visitors who who was the individual that completed it the most goals or who which companies are viewing us in the San Francisco area those aren't things that you can really do with just Google Analytics data but that's a great use case for using the Google Analytics API into what a tool such as Charlie oh and connecting to other data sources and kind of merging that data so for example here's a dashboard that I have created for myself these email addresses are fake but you'll see that I've got the web visits from Google Analytics here and I'm tracking my marketing qualified leads and looking at the trends associate as they are associated to each other so this is I'm doing this by pulling my Google Analytics data but also pulling my marketing automation data or my CRM data so here I'll check out got quite a few and QLS on July 25th and there wasn't an additional spike in visits so click there and I'll be able to see oh the likelihood of those individuals on July 25th actually buying by function which is super awesome I could pull in my lead scoring I can also look at the individual email addresses from that date right and I can look at the companies they're from and their job functions all the data available to me normally in my marketing automation system next if I wanted to drill down maybe by Google Analytics medium or source for example I've created charts for myself so I can look at all of the traffic from cost per click maybe I want to drill down here so I click that and I'll find the various sources associated to our CPC and this is GGA data right this is Google analytics and I could you can see that we've got costs per click campaigns from Chora Facebook kaptara Google which would be AdWords for us lots from Google so I click here and want to check out which campaigns out of our AdWords are actually doing the best right as regarding in regards to actual marketing qualified leads non clicks marketing qualified leads so here I can check out the various campaigns from that Google source and these campaigns are as you would see them in Google Analytics word for word right I've got brand search which I guess is typical to have the most mq else from next I want to maybe look at analytics here I've got 53 mq else that came from that marketing analytics campaign and GA do another drill down and I could also get a summary up from those MQL s what do they look like in salesforce right what status are they in is sales really working on these guys um so here I can get a look at opportunities how many have just been qualified how many are new not even looked at yet all this data drill down just from Google Analytics mediums right now I can also look at those email addresses from that ga campaign analytics I can look at their likelihood to buy by pulling in my marketing automation data I could even get this click this guy and check out all of the activities that lead had in my product if I wanted to write by date and how many he's done and really understand okay where is the gaps has he added sources if not maybe I should talk to sales about reaching out to that gentleman um so this is just a high-level view of the opportunity you could have in creating awesome personalized dashboards by actually merging your Google Analytics data with all of your other business platforms so with that I invite you to ask more questions go in and check it out yourself if it's not char do think of other tools that you can really blend your business data with because it can uncover a lot of different insights so with that I think we are at about time so we'll have five minutes to chat about any questions people might have let me stop casting and we have I said we have one question from the live chat can you connect Google and the Facebook world that's right so I'm gonna assume we're talking about Facebook ads and Google AdWords ads can you really connect those two platforms great answer is actually you can in Cherry oh you can do that through our partners and be able to monitor your performance as well as your costs associated to each of those different media platforms yes okay I hope I answered your question so you can create a dashboard pulling and blending both of those data sources together yeah that's that's a point and I think we had a question also for Charles I know somebody was asking earlier through email is Google optimized a free product that's a good question Google so if you're not aware Google actually released a completely free version of a brand-new multi area and a/b testing platform if you're familiar with optimize lazily obviously obviously optimize might be a very similar name so it actually has a lot of the same functionality and look and feel as optimized lead for absolutely no cost so there's a paid and a free version of the product but what we with most of our clients is the free version actually meets almost all the needs you would have especially if you're not using a testing or an optimization tool today so I'd encourage you just to go to optimize google comm and sign up and then install it on a page or a section of your site and see how you like it absolutely cost nothing and it's got a visual code editor so even if you don't know CSS and HTML you have a ability to actually go in and drag things around the page change text change call to actions button colors all by yourself so a pretty powerful and awesome tool to have awesome Thank You Charles Oh so I can't read those okay that's actually a good question so I don't know if you heard that Charles what is one of the main differences between Google daily data studio and chart radio and we've talked about this before yeah I mean one major difference that comes to mind right away data studio doesn't really have the ability to join or blend data so the examples that we showed today that's a kind of a feature set that it doesn't have so char do I think does an amazing job at actually connecting and making a whole dashboard that as you saw Emily go around and click things and everything kind of updated based off of that click those are some features and functionality that data studio doesn't doesn't really have yet awesome thanks and sorry hang with you guys if somebody wants to read out loud - hey da when you were discussing first when you were just discussing first and second action where the second action was a conversion was the conversion literally the second action or just one of the next actions and I think Eric's might be talking about the sequence functionality you chatted on yep when you create the sequence the way it works is its default to is followed by which means that that action occurred can occur at any time after so when I set it to a user and I said step 1 is viewing a nest and step two is transacting that user could have transacted in the next visit in the next page or the next week it doesn't really matter it's at anytime after but it has to be after there is a setting in there where you can say is immediately followed by which literally means it would be the next hit or the next exact action so when you create the sequence segment you can control whether it's the literally the next thing or it's kind of anytime after and I think for almost all of the audiences and segments you create you almost always set it to be at any time after this user did that action which is the way we set it up as awesome thanks Charles so we have one more minute I'm gonna take one more question can you tell again how to access GA using char do ok it's very simple you can go in and once you start a free trial you will get to AV where you have default dashboards there's going to be a section at the top you can click data sources and then you'll be taken to the options where I reviewed as well a bunch of applications you're gonna scroll to the bottom and find Google Analytics it'll be very easy just click that and then you pick whatever view you want your Google radio to connect to and which data you want it to pull and then you're set and you can feel free to rewind this video to when I did it that helps you but on that note we're going to end its 45 if you have other questions or other maybe content ideas you want us to take a deep dive into just comment them below in our video we're gonna be managing and reviewing all those comments and trying to get ideas for new videos so we appreciate you watching and have a great day a happy Google Analytics thing

Channel: Chartio

Views: 3,213

Keywords: Google Analytics, Chartio, Analytics Tips, Business Intelligence, Marketing Analytics, #hangoutsonair, Hangouts On Air, #hoa, #googleanalytics, #GA

Id: rts2u_VVFlg

Length: 44min 27sec (2667 seconds)

Published: Tue Sep 26 2017