Finished week four with an interesting courses in the CXL mini degree program.
The next course was about Intermediate Google Analytics
This tactical training course will let you watch over the shoulder of one of the world’s leading Google Analytics experts.
In this program, you’ll learn how to:
1) Master attribution so you know exactly how your channels work together and how your users convert.
2) Get 10x more out of the basics you already know: custom dimensions, custom metrics, event tracking, etc.
3) Draw out advanced insights from your content analytics, form analytics, social analytics and PPC analytics.
4) Produce enterprise-level reports using Data Studio.
5) Unlock all of the potential of enhanced ecommerce to make smarter product, placement and promotion decisions.
The first lesson was about the introduction. The objectives for this lesson are number one: just to make sure that you are actually ready to take this course and we’re going to talk about the core concepts that we’re going to cover in this course. The journey so far, well we’re on lesson one, the introduction. Then we’re going to move into our clean data section. We’ll talk about filtering out spam, removing internal hits, cross-domain tracking, all sorts of stuff. After that, we’re going to move into finding answers and continue the journey with funnel tracking and introduction to segments. Right now though, it’s an introduction to Google Analytics Intermediate. That is the course itself. Now, first question you need to ask. Am I ready for this? This course is beyond the basics set up. So we’re not going to talk about goals, we’re not going to talk about the basics of setting up filters. You should already know these things. So including things like multiple views, you should have multiple views already set up. Those views should have filters in place. You should have goals for those particular views. Remember views are there to answer questions. You should have a backup view, you should have testing views, you should have production views. All of that stuff needs to be put in a place first. Your analytics has to be at least at a basic preparation level before you can move forward. Also, you should have a basic understanding of how to navigate the reports. So if you haven’t done that, make sure that you do that and that includes things like using the table filters that are available when you go to filter through in those little tables and also secondary dimensions. Google Tag Manager, let’s talk about this for a moment. Now this is a fantastic tool. You’ve heard me mention it, especially toward the end of Google Analytics the basics course, if you took that already. Google Tag Manager, some experience is really nice to have. Now, it is not necessary, it’s not a deal breaker, but it will make things easier for you in the long run. In this course, we’re going to start by covering dirty data and in particular, how to actually get that cleaned up. When it comes to data, good data has a story to tell. You probably have this sort of instinctual reaction to that, like you understand that in analytics there’s a story there and it’s your job to figure it out. So when you have good data, there is a story there to tell. But, great data. That is to say great day tells a story. Clean data tells a story and when you clean your data you go from good to great and that’s what you want. You don’t want to have to search through and slog through everything in your Google Analytics, you want that information to sort of present itself to you. So that it’s coming to you to tell the story and you don’t have to go chasing it down everywhere and that’s what we’re going to be trying to get to in our clean data section.
Clean Data: Filtering Out SPAM. Often in Google Analytics, everything that’s recorded is not necessarily from an actual user. It’s called SPAM traffic. And fortunately, there are some ways that you can actually filter that out. In this lesson, we’re going to coverall of those so you can take a look, and hopefully set it up in your own implementation. Let’s take a look. Welcome to Clean Data, Filtering Out SPAM. Lesson objectives, First we’re going to take a look at what Google Analytics SPAM actually looks like. And, we’re going to talk about the steps that you can take to remove SPAM data in your own analytics installation. Of course that’s what we’re on right now. Lesson number two, part of our Clean Data series here. As we move through the course, Lesson number three we’re going to talk about removing internal hits, that is your own traffic. Then, we’re going to talk about cross-domain tracking, to ultimately, sort of, make sure traffic attribution and all that fun stuff is in place. And, ideally at that point we’ve got much cleaner data to get the story from. Then, we move into actually finding answers, right? Figuring out what that story is trying to tell us. We’re going to talk about funnel tracking, we’re going to talk about segments in two parts.
Clean Data: Removing Internal Hits. In this lesson, we’re going to cover internal traffic, that is traffic that your own team is actually generating in your Google analytics account. Because of course, you wouldn’t want to use that when you’re trying to analyse market data. Clean Data: Removing Internal Hits. The objectives for this lesson, we’re going to to define what we mean by internal hits, and then we’re going to talk about the steps to remove those hits. The journey so far, we of course are going to be talking about removing internal hits today in this lesson, then we move on to cross-domain tracking, and that will actually finalize the part on clean data. Then we’ll move in to part three on finding answers, and we’ll talk about funnel tracking, how to use segments in a couple of different ways ,and we’re going to break that into a couple of different parts, and then we’ll move on to custom reports.
Clean Data: Cross-Domain Tracking. In Google Analytics, it’s important that you have proper traffic attribution. That is, which traffic source is actually causing which result. Oftentimes, cross-domain tracking can come into play. In this lesson, you’ll see what that is, if you have that problem, and if so, how to fix it. Let’s take a look. The objectives. We’re first going to talk about understanding what this whole cross-domain thing even is and why it’s important. Then we’re going to go into actually diagnosing cross-domain issues so you can see if you have this issue. And if you do, we’re going to talk about the basic steps that you’re going to need to take in order to set up cross-domain tracking. The journey so far, of course, we’re on Clean Data: Cross-Domain Tracking. Then we’re going to close out the Clean Data section and move on to Finding Answers. In that section, we’re going to talk about funnel tracking. We’re going to talk about using segments, actually in a couple of different parts, and we’re going to talk about custom reports. At that point, we will close out Finding Answers and open up part four of Tips & Tricks, starting with dashboards.
In this lesson we’re going to cover the reports that you can use in Google Analytics to actually track funnel traffic. Think of it as a way to track customer journey as somebody’s journeying through your site. Let’s take a look. Welcome to Finding Answers: Funnel Tracking. The lesson objectives are going to be three. In this case first, we’re going to talk about using funnel visualization as a report in Google Analytics. We’re also going to talk about the Goal Flow report in Google Analytics. And then we’re going to talk about some other ways to track funnels, that is the customer journey, in Google Analytics. The journey for us, we are currently opening up part three of Finding Answers, starting with funnel tracking. Then we’ll move into segments, in a couple of different parts and then finally close out that section with custom reports. Then we will open up section number four, our tips and tricks. We’ll start with dashboards and move into saved reports and alerts.
Custom Reports. In this lesson, we’re going to cover the Custom Reports feature in Google Analytics and show you how you can literally create any report that you’d like from within Google Analytics. Let’s take a look. Welcome to Finding Answers: Custom Reports. The lesson objectives, one, we’re going to figure out when exactly we should be using Custom Reports, and of course, we’re going to go through a walk-through of how to actually build a custom report. The journey so far, today we are going to wrap up part three of our Finding Answers Series as we discuss Custom Reports ,then, we’re going to open up tips and tricks and we’re going to talk about Dashboards, saving reports and alerts, Channels, Funnel Reports, Attribution and more.
Tips and Tricks: Dashboards. In this lesson, we’re going to cover the dashboarding feature that’s available to you within Google Analytics, including how to actually set those up and even a cheat sheet on where you can find some templates. Let’s take a look. Welcome to Tips and Tricks: Dashboards. The objectives for this lesson, we’re going to go through a tour of the Google system. And we’re going to talk about using the Dashboard Gallery. The journey of course, we are in the middle of Tips and Tricks part number four, we are talking about Dashboards today, then we’ll move on to Saved Reports and Alerts, Channels, Multi-Channel Funnel Reports, Attribution, Exporting to Google Sheets. All sorts of fun things coming up.
what the information that we needed was around traffic sources and they really needed to know Google Organic so we drive down to Google Organic and they wanted to be able to know the results of how many people were seen gaging with-coming from Google Organic traffic but they wanted that broken down by device category. That was the information that we needed, right? Either for us to answer the question or for them to be able to take action. So, we have all of this that was set up but they really wanted anything that was over 1,000 users. So, in this case, we would then set up a table filter, and we would go into Users, and now I’m going to say users greater than 1,000cause that’s really what they want. They don’t want, you know, just anything that’s a tiny bit of traffic. They only want real traffic. So, there we go. So, now we’ve got our report base down. Now, this particular report has a lot going on. It is a Source/Medium Report. It is broken down, isolated for Google Organic traffic which you can see up here. Then, it’s got a secondary dimension that’s been added with the Device category and it’s been filtered specific to the filter, in this case, to be a user limit, right? So, anything above 1,000 will show here. If it’s below 1,000, you’d see that little tablet section with 200 users went away. And it’s set up for this particular goal.
We’re just going to talk through and think back about everything that we’ve covered. We started with clean data. We talked about being able to go through and make sure that we’re trying to find the story in Google Analytics and Google Analytics has a story to tell. Good data has a story to tell. Great data, great data tells you the story. You don’t have to go through and hack through it to figure it out. Great data, the story’s naturally there, right? And that’s what cleaning your data helps you to see. It helps you to see that great story that’s sitting there. The great data and the story that it wants to actually tell you now. So how do you do that? We talked about filtering out spam. We talked about removing internal hits, that is your internal traffic. We talked about cross domain tracking, which is a huge one ’cause that is directly going to affect your attribution and everything else in a report, so clean data incredibly, incredibly important. Make sure that you do that. We also talked about finding answers. That is, of course, the whole — We have our questions that we have, and then when we know the information we need to be able to find the answers for those questions and ultimately the actions we want to take based on those answers, but we need the answers. And Google Analytics has the answers. We talked about funnel tracking and being able to track through different steps and different styles of funnels in Google Analytics, including the funnel visualization report, goal flow reports. We talked about creating tables with those. We moved into segments and talking about how you use the built-in segments, how you can create your own segments, how you can create sequences.