Getting Started

Transcript

Hi, everyone. My name is Danielle Doolin. I’m a product marketing manager for Adobe Analytics. I’m really excited to be here today to go through the Learn session. I’ve been with Adobe a little over five years, and I work with customers to realize the value from their data to produce insights and visualizations. So in today’s session, it’s broken up into three parts. The first part I’m going to cover is how to get started, taking you into analysis workspace and how to start and create a project. The second section, Prithvi is going to join us and go into how to analyze the data. The final section of the Learn track, I’m going to come back and we’re going to go through how to put it all together into data and visualizations. After each section, we’re going to do a brief Q&A where you can ask questions about some of the points that we’ve covered in the section. Okay, so let’s go ahead and get into how to get started with your data. As we get started today, first, I’m going to take a look at some of the terminology that we utilize in Adobe Analytics so you can get used to some of the terms. Second, we’re going to learn the basics of analysis workspace. This is our user interface that you’ll use on a day-to-day basis to be able to look at your data and visualize it. And third, we’re going to go into the interface and actually tour some of the features that you’re able to leverage when creating projects. So first of all, it’s really important to understand the foundations of analytics. What is web analytics? It’s the process of being able to analyze and measure different events that happen across your website or your app. It allows you to measure visitor behavior and what they’re doing in each of that sessions. It could include things like how many times does somebody visit your page? What pages are they visiting? How long are they spending with your content? Some of the different types of activities that you can measure with web analytics include things like what are my users doing when they engage with my web page or my app? How can I leverage the data to look at past marketing activities and how it’s impacted visitation to my site? How can I recommend better marketing strategies to be able to get more users to my site and How can I really drive conversions to get people to purchase or to sign up for a service? And how can I retain my users and keep them engaged and loyal to my page or my app? These are all really great examples of what web analytics can do for you and your organization and what Adobe Analytics can do as well. When it comes to terminology, there’s three different things that we often use in our day-to-day discussions. The first one is a metric. A metric is a quantitative term. It’s numeric, so it’s counting certain things like the number of page views or the number of purchases of a specific product. It allows you to see side by side how your metrics are performing across different products or services or even pages. And that brings me to the second term, dimensions. Dimensions are not numeric descriptions, but they are descriptive. So it allows you to categorize your data to understand exactly what you’re measuring with your metrics. So for example, you may want to see how many page views you’ve had coming from California versus Virginia, or you may want to see how many purchases product A has versus product B. This is a way for you to categorize your data into segments or dimensions. And then finally, the other third term that you’ll see used quite often is segments. Segments allow you to identify subsets of data and to be able to further filter and categorize your data to really understand specific set of audiences. This allows you to really understand how your data is performing and to be able to take that data and build really powerful audience segments to be able to retarget or personalize your content for those specific users. Some of the types of segments that we see customers most often use are new visitors to a page or a site. How many new visitors have I had this month versus last month? What impacted that change? Was there a new piece of content that was added? Was there a new page or section that was promoted? Analytics allows you to take all of those rich data points, be able to segment that data to understand what caused the impact of that site visitation. Now let’s talk a little bit about what analytics can provide. There’s three different pillars or sections when it comes to tools. The first one incorporates data collection. This is how you’re really able to take data that you’ve collected through things like a tag or an SDK to be able to measure the data and to be able to collect it and bring it into your visualization or reporting tools. The reporting tools is really what we’re going to focus on today, specifically analysis workspace. That’s our user interface that’s used by all of our customers to be able to visualize their data. But you don’t have to stop there. You can export your data as well. Adobe analytics provides different means to be able to export the data, whether you use our own report builder to access the data through Excel, or you can use things like Data Warehouse or our live stream data feeds. So as we talk further in this learn section, just remember we’re going to focus today on analysis workspace, our reporting visualization, because it’s important for you to learn this component to be able to actually action on the data and understand the data that you’re reviewing. Now let’s walk through how to log in for the first time to analysis workspace. The first thing you’re going to want to do is go to the experience cloud login page. You’ll use your Adobe ID to log in for the first time. Once here, you’re going to see a list of all of the products that are available to you to use within Adobe experience cloud. So for analytics, you’ll see the analytics icon. And once you click on that, it will take you to analysis workspace. Now what is analysis workspace? Analysis workspace is really an easy, flexible canvas for you to be able to visualize data. It’s extremely flexible in that you can drag and drop different data points, visualizations and panels to be able to create your ultimate project workspace. You can easily share and democratize that data through the interface itself, or you can share it through our now Adobe analytics dashboards available on your mobile app. So Adobe analytics data can be shared in various means. We want to make sure that it’s available to all of our customers teams so that they can democratize the data either to executives or to other teams they work with. It’s really built to provide advanced analysis and take your data collection and really visualize it into rich data sources for you to make decisions against. And one of the great things about Adobe analytics and analysis workspace is easily able to create segments to share bi directionally to other Adobe experience cloud products. So if you want to share your Adobe analytics segments to something like Adobe target or Adobe audience manager, you can easily do that to be able to share and democratize your data and then action against it. So now when you go into analysis workspace for the first time, what I really want you to think about is it’s great to start out with reports. This is where you can take pre-built templates of reports to be able to see data and visualizations without having to lift a finger. All you have to do is select a report suite. Within reports, we have them pre-baked into different categories depending on what type of view you want to see. Once you get a little bit more advanced, that’s when you can go in and move into projects. That’s when you can create your own visualizations and dashboards to be able to share with other team members. Now one exciting feature to announce in this new learn session is that we actually have a new landing page for analysis workspace. So I want to cover today how to navigate around that new landing page because we want to have you go in and start utilizing it rather than using the old interface. So at the bottom of analysis workspace, you’ll see a little button that says beta and you’ll want to toggle it to on. And this way you’ll be able to see all of the visualizations that I’m sharing today and you’ll have much more capabilities built in to be able to organize and access your different reports and projects. So once you’re in the new landing page, one of the things that you’ll be able to do as well is you can adjust the language. So if you need to adjust the language to something besides English, we have different languages available for you to be able to leverage and analysis workspace as you can see here. Next on the left side of the navigation, you’ll be able to see three different types of selectable items. The first one is projects. Projects provides you with a full list of projects that have been shared to you or projects that you’ve been created. Typically it’s sorted by last modified, but you’re able to sort any way that you want. The second section here is reports. Reports are those templates that I mentioned earlier that allow you to see a list of reports which have been pulled over from our legacy reports and analytics. The final section is learning. This is a really great new section of analysis workspace that allows you to find different tutorials and videos that can help you to better understand analysis workspace. If you’re new to analysis workspace in Adobe analytics, I highly advise that you check out this section and navigate around to look at some of the training videos on how to get started. There’s a ton of different great capabilities within analysis workspace landing page really to be able to help you to organize your data and your projects better. You can search for different projects with our search section. You can use filters to look at specific reports. Maybe you only want to look at your mobile projects or your video based projects. You can star or favorite a project. This is a great capability, especially if you have a lot of team members that create a lot of reports. If you want to dig through all that clutter and favorite a report so you can easily access it, it’s a great feature for you. You can also do other common things like delete a report or project, share a project to other users. You can rename and copy a project. All of these different types of capabilities are available within analysis workspace on the project’s level. The second section that I mentioned earlier is the report section. Reports are where you can get to those pre-based templates. These are reports that were pulled over from our legacy reports and analytics section. There are most popular reports that customers have used to look at things like visitors, key metrics, site sections, campaigns, products, last touch attribution, and so much more. One thing you’ll want to do is when you log into analysis workspace one time, go into the report section and check out all the different types of reports that are available. Find the ones that are most important to you so that you can go in and visualize your data. All you have to do is select a report suite. We’ve done everything else for you. We built the tables and the visualizations so it’ll just surface up your insights right for you. Okay, now that we looked a little bit at projects and reports, let’s go into how to create a project. When you create a project for the first time, you’ll have the option to select whether you want to create a workspace project, which is within the web UI, or an audience dashboard, which is our mobile scorecard that’s available via our mobile app available on iOS and Android. So for this example, we’re going to create a workspace project right in the UI. You’ll click on the create a project, select workspace, then you’ll make sure you want to select the report suite that the data is filtering into. You may have different report suites. A lot of customers have a global report suite that they push all of their data to. So it just depends on what level of data that you want to look at. And then finally, to start your project, you can create a table with data to build off visualizations. So let’s talk a little bit about what a report suite is. A report suite is a segment of data. It’s fundamental to Adobe Analytics because it allows you to filter your data that you’ve collected into various segments. So some examples include a customer might want to look at a web report suite versus a mobile report suite where they’re sending all their mobile app data. Or they might want to look at different types of segmentation in terms of new visitors versus existing visitors. Or you could have a report suite that’s production based versus developer based. There’s different reasons and ways in which we segment report suites, it’s up to you how you want to segment the data. But just make sure when you’re creating your project that you have the correct report suite created. Now there’s a lot of different capabilities and flexibility and analysis workspace when you’re creating your project. There’s so many different options that you have that you can go in and optimize and create your dashboard. One of the really great things here is that we actually allow you to customize it pretty well. You can bring in your own branded logo, you can even bring in your own branded colors. We have a color palette that you can choose from with different colors. But if you have a specific color that you want to use within your workspace reports, so that it’s aligned with your organization and your business, you can do that it just looks a little bit more professional and adds a little bit more possessed to your reports. So you have your project settings where you can start a new project, you can open one, you can save it or save it as a template. Then you have the middle section which goes into the settings of the project where you can go in and change those colors or you can add tags to your project. So if you wanted to say this is my mobile app tag and then you rename or name your project. So you want to make sure that’s easily distinguishable and that you can find it and know exactly what you’re looking at. So if you create a report suite for mobile users using product A, then you’ll want to name it accordingly so that you can easily find it and know what you’re looking at when you see the project name on the main dashboard. As you can see here there’s a lot of different drop down menus at the top of your analysis workspace project. I’ll go through these one by one but I really encourage you to go in and take a look at all of the different capabilities that you have when you’re creating your project for the first time. So the project menu is the most common menu that’s used. This is where you can go in and name your project, you can save it, you can share it, you can download it. A lot of important capabilities live in the project menu at the beginning. There’s then the edit menu where you can undo or redo certain things. You can clear all of your updates, you can revert back to the original. So that’s another important option available. And then the insert menu allows you to bring in different panels or visualizations. So if you wanted to bring in a free form table or if you wanted to bring in an attribution panel, this is where you can easily go up and add without having to go to the left hand menu. The components menu, this is where you’re able to create new metrics or dimensions or segments. You can create alerts, which is a great feature to be able to understand when you’ve hit a certain goal or target, or perhaps if you want to be alerted to certain issues or errors, you can set this up to be delivered via email or text. So you can see when something important is happening with your data. The share menu is also very important. This is where you can actually share the project link. You can share the report via PDF, you can download it, or you can share it so that a team member can actually view it and see it when they log into their analysis workspace instance. And then the final menu option here is the help menu. And this is where you can go to ask questions and get links to helpful documentation or tutorials that can provide more information about analysis workspace. The next part of analysis workspace in the projects is the left side where you can actually minimize or maximize how big you want it to be in the left nav menu. So at the top, you’ll see an icon that’s for our panels. Panels allow you to visualize and drag in different types of visuals or not even visuals, but also just basic components of analysis workspace. You can apply different panels throughout so you could actually even have different data views or report suites throughout one project. So a typical panel that you might see is the freeform table, or even our new quick insights panel, which is something that will go into more detail later. The second part of the left navigation is the visualization section. So this visualizations allows you to bring in over 20 different charts and graphs to be able to visualize your data. It’s a really great way to kind of make it more easily digestible for end users to look at your data and see trends or anomalies. And then the final icon on the page is the components icon. And this is where you’re able to go in and select the different types of metrics and dimensions that you want to use in your analysis workspace project. This is also where you can apply certain segments that you may want to filter your data against, or you can apply different date ranges. So these are all really important pieces of your analysis workspace project. So as you go in there for the first time, you’ll want to play around and kind of get a sense of what types of panels are available, all the visualizations that you can use, which we’re going to go through in more detail in section three. And of course, the components, which are probably the most important part, being able to pull in the data metrics and dimensions. So now let’s talk a little bit about selecting a panel. A panel is a page within a workspace project. You can have multiple pages or panels in a project, depending on how you want to organize it and segment your data. You may want one report suite for one panel and a different report suite for another. So let’s talk a little bit about some of the different panels that are available within analysis workspace. The blank panel is your blank canvas. You can pull in different visualizations or tables. You also have a panel for analysis workspace for target, which allows you to bring in target activities to analyze within the workspace visualizations. It’s a great feature if you have both solutions. We have the attribution panel for you to look at your various models that you’re running data against. You can look at any dimension or conversion metric in the attribution section. The media concurrent viewers panel that’s specific to our streaming media solution. So if you’re measuring any video or audio content, that’s what you can use to leverage and look at concurrent viewers or listeners that are listening to streaming content. Then we have the freeform panel. This is the most commonly used panel that we see. This allows you to bring in a freeform table for you to start building out rows and columns with different dimensions and metrics. From that, you can then build on it with visualizations. The quick insights panel is new, and it’s definitely a great panel for new users. It allows you to ask a simple business question. And then once you hit the return button, it returns visualizations and a table with the data of the question that you asked. So we’re going to go through that in a lot more detail in the future sections. But I really want to highlight quick insights because that’s something new that is really great for beginners. Okay, so let’s take a look at some of the different components that are available on the left hand navigation. This is where you can pull in things like dimensions and metrics and segments. So when it comes to dimensions, again, this is just the category or naming conventions. This is where you can pull in certain data by page name or product name or browser type. There’s lots of different dimensions that you can categorize your data. And then the metrics are those numeric components. So this is where you can measure things like page views or revenue associated to a specific product or unique visitors, lots of different types of metrics that are available. You’ll build your projects with a lot of different types of metrics. So it’s important to understand what your key performance indicators are when you start creating your projects. The third part here is segments. So segments is where you’re able to segment your data, filter it down into specific views. So if you want to look at certain things like mobile visitors or visitors that have made purchases last month versus this month. And then finally, you’re able to look at components like date ranges. So if you want to narrow it down to visitors from yesterday versus last month, one of the great capabilities of analysis workspace is it makes it really easy for you to do time-based comparisons, looking at today compared to yesterday or other custom date ranges to really understand growth or hitting certain goals. And finally, the other part of the left hand navigation is the visualizations. So don’t get too overwhelmed here, but there’s a little over 20 different visualizations available for you to leverage in analysis workspace. If you hover over the icons, it will explain how each visualization can help you visualize your data, what the main goal of the visualization is. There’s a lot of basic visualizations here, such as your bar graphs, your pie graphs. We even have certain things like your scatter graphs or your maps. So a lot of different rich visualizations here to help you really understand your data and visualize it into a rich project to share. So finally, we want to talk a little bit about training tutorials and tips. There’s a lot of different things within analysis workspace that allow you to leverage different trainings and tutorials. There’s a new section on the main dashboard where you can get to your project’s reports. And at the end there, there’s a learning section. Definitely go to the learning section for you to be able to take advantage of certain things like our training tutorial. The training tutorial gives you a virtual step-by-step into a project to be able to see how to leverage analysis workspace projects and how to start building projects out. We also have links to a lot of helpful training videos. We have hundreds of videos on YouTube that help you understand how to use analysis workspace, as well as some of the different features available on analysis workspace. Within analysis workspace, you’ll also see our new tips and tricks section at the bottom. So you’ll see a little blue box that says new analytics features. We update this regularly with new features that are released into the product. So definitely keep an eye out for it so that you can open it and see what’s new. A lot of times we’ll also post the link to the YouTube video so you can go there and see it live in action. But this will show you all of the latest and greatest features that you can leverage within analysis workspace. And then finally, I encourage you to try out the training tutorial template. So when you go into the report section, it’s the first project or report that’s listed at the top. It will allow you to see how to build out an analysis workspace project. It’ll teach you all of the different sections of how to create one, what metrics are, how to segment the data. It’s a really great resource to be able to leverage, especially if you’re building a project for the first time, because it walks you through how to do it. So here you can see how to launch the training tutorial template from the report section. You can open this report and you can access any report suite. So it is your data. So if you want to have a starter project already built out for you, you can launch this training tutorial and be able to adjust it to your needs by building it on the report suite with the data that you need. Here’s an example and screenshot of what it looks like within the training tutorial. As I mentioned, it really goes through step by step on how to build out your project and what you’re looking at with your data. It’s a really helpful tool. So I encourage you to use it. Okay, everyone, let’s go ahead and take a look at the user interface of analysis workspace. So once you log in for the first time to analysis workspace, you may see a view like this. What’s really helpful is that you have this section right here where you can easily go to create a project or to look at tutorials. It’s just one click away. Like I mentioned before, you also have the three tabs over in the left navigation, one for projects, one for reports, and this is where you can get to all those easy templated reports that are prebaked for you with visualizations and data. Then there’s the learning section. This is where you can go to check out all of those tutorials that I was talking about, even a step by step training guide. So now let’s go back to the project section. As you can see here, you have those items available where you can go to look at tutorials or the training video. You can also minimize this to show less. I have three different projects that have been shared to me that I’ve created. You can also search for different projects by name in this search box here. So I’m going to go ahead and instead of opening a project, I’m going to create a project from scratch. So once you click on the blue button, it gives you the option to either create a workspace project, which is web-based, or you can create the mobile scorecard. That’s a little bit more advanced, so I’m going to focus on the workspace project.

Once you log into a project for the first time, it’s a blank canvas. This is your opportunity to build out the project of your dreams, to create visualizations that can really tell a story with your data. And don’t forget here, you want to make sure you have the correct report suite. So select from the dropdown the report suite that you want and make sure it’s entered when you create your report. Next, to get started, all you have to do is drag over a dimension to your freeform table. Here I’ve selected page, and then you can select a metric to see actual data. So I’m going to pull over unique visitors, and I’m going to replace that over occurrences.

Now I can see a table of data based off my page visitation and how many unique visitors have visited the page. Don’t forget, before you close out, you want to make sure that you name your project so that it’s not just new project. Now you have a project shared with an easy table, and you can share it out to your team. So this is Analysis Workspace. Now we’re going to go into a brief Q&A session, and then we’ll get into more details about how to create projects and visualizations. Thanks, Danielle. We’re so glad to have you here with us to answer our audience’s questions. And just a quick reminder, we are so thrilled to have you guys here with us today. So we want to encourage your participation. Please don’t be shy. We want to answer as many questions as we can today, so please take a moment to put as many questions as you can in the chat box, and we’ll address as many as we can get to. All right, let’s look at our first question. Are you ready, Danielle? Yep, I’m ready. All right, so Andrea asked, if I turn on this new feature, and I think she’s referring to the new beta feature you referred to, will it only affect my workspace? That’s a great question. So the new Analysis Workspace landing page, which is now in beta, you can toggle it on and off so you can make it visible, or you can go back to the old version, and it’s only viewable to you. So you’re not changing anybody’s selections within your organization. It’s just your own settings. So please feel free. We want you to start testing out the new landing page, get comfortable with it, start to look at the different features, and then you can always go back and toggle back to the original landing page, but it will only impact your own view. Great question. That’s great. Thanks, Danielle. And then Evanann, I think I pronounced that correctly. If I didn’t, I apologize. She asked, or how do you add percent change to an existing report? Percent change. Well, if you’re looking to do it within the visualizations, we actually have an option if you go into the left navigation menu and you look at the charts option, there’s under summary number, summary change. So you can use percent change on any two cells that you select, which is a great way to be able to quickly visualize your data and see the percent change. Now, if you want to do it within the actual freeform table where you have your table, you can go there too, and you can right click and select the option to be able to see the percent change between two different columns. So if you’re looking at two different metrics, two different columns, you can actually do right click, see the percent change between those two columns. And that way you can easily visualize within your own table what the percent changes between those two columns. And you can always adjust it too. And another nice thing is you can also use our conditional formatting within the table to be able to easily see if the percent change is up or down, green or red. So that’s a really good question and a great way to use visualizations, both through our charts capabilities and also within the table itself. Yeah, that was an awesome question. Okay. Jason asked, can you create dashboards from this workspace or do you need a different add on or license? So good question. Within Analysis workspace, it’s completely flexible. If you want to take any of the existing reports or project templates, you can add on to it and you can build in more visualizations. You could add metrics, take away dimensions or add dimensions. It’s all completely up to you. And remember, you can save the project for yourself so it’s only visible to you or you can share it out to other team members in case they want to be able to see the same type of report and visualization. There’s no additional kind of capabilities that you need. You don’t need to be added as a certain user type to be able to create dashboards. You can easily create your own dashboards and then add on to the existing projects and templates that we have available within Analysis workspace.

That’s great. Thanks, Danielle, again. All right. Let’s go to Kristen’s question. So she asked, can I manually reorder the segments in a freeform table? So I’m trying to visualize what you’re trying to look at here. Segments you apply at the top of your visualization or the top of your freeform table. You’re allowed to select one segment or you can add multiple segments. If you want kind of a side by side view of your data within your table with different segments applied, you could also do that by just creating two different freeform tables and applying the unique segment to each. You can drag it and drop it right next to each other so they’re right to left or you can add it beneath or beneath the table.

Above the table, I’m hoping that I’m answering your questions, but if you do want to see your data visualized with different segments, you can easily adjust that drag and drop your tables as you select the segment that you want to apply to each table. Anything you would add there, Clay? I think that gets to the root of the question. Yeah, I think so. I think you can play around because the flexibility of Analysis workspace does allow you to drag components in different areas. But when you’re working with segments, as Danielle mentioned, it’s easiest probably to put them in within the dashboard itself to be able to funnel or filter on different segments or apply them in different ways. Yeah. And one other thing I just thought of that I would really like to share and highlight that I don’t think we got too much time to go into today yet is the segment IQ capabilities. This is a segment compare visualization panel where if you go to the left navigation menu and you select the panel for segments, you can actually select two different or more segments to be able to compare against. And we actually build out visualizations based on the two segments or three segments that you selected. So it’s a great way to be able to actually take different segments and compare them against each other. And we pre-build out the visualizations for you so there’s no work on your end. You can add to it too if you want to add more visualizations to the report.

Awesome. OK, Karina asks, will funnels and drop-offs be covered in today’s session? We touch on fallout visualizations just a bit. So we have fallout and flow, which are two great visualizations, especially to be able to understand your customer’s journey. We will go into a little bit of detail about fallout, but I do encourage you and recommend that you check out our YouTube channel and do a search for fallout. And that way you can watch short videos that go into descriptions on how to best use that type of visualization. Because I don’t think we go into too much detail, but it is a great visualization. So I encourage you to look into it some more.

Danielle, I would add, as she mentioned on YouTube, if you just do Adobe Analytics fallout visualization, there’s a complete tutorial that will actually show you a lot of the cool capabilities. You can right click and see where your customers are falling through and how they fall out and where the next page and where they go. Very insightful part of analysis. OK, there was another question. How many dimensions can be added to the freeform table? Are there any limitations on the number of dimensions we can add? So, oh, the freeform table. Yes. No, there’s no set limitations that I’m aware of. I was thinking you were talking about the fallout visualization again, because I was so excited, because even with that, there’s no there’s no kind of maximum number that you can apply. So, yes, feel free to go crazy with the dimensions and no specific cap on that. Really, we want to make sure to enable you to be able to see all the data and insights that you need according to the dimensions that you require for your business. Awesome. OK, we have a question from Renan Jai. How can I download a URL report up to a certain number? For example, I want to download a page report only for my top 2000 URLs. How can I do that? OK, so first of all, the most basic and great type of visualization is our freeform table. Once you go in there, you want to select the page URL or page dimension as your dimension for your freeform table. Then you can select the metric to see how many page views that specific URL has. Up in the toggle, you’ll see the ability to select the number of rows in your report. So, there’s different amounts that you can select there. I don’t have it in front of me, so I can’t tell you what the maximum is. But I do know that when you’re exporting that report, we’ve actually expanded the number of rows that you can see in your data visualization, your report in Excel or CSV. So, you can definitely pull that report, you can share it, you can visualize it, and definitely check out and see how your page URLs are performing. Awesome. OK, let’s go on to another question. This is from We. How am I able to understand what the component is used for as it doesn’t contain any description? For example, the naming for a dimension or metric doesn’t make sense. So, I guess the question I would interpret that as, if the dimension is labeled as something that doesn’t make sense in Analysis Workspace, how do I understand how it’s composed? That’s a good question. It could be some troubleshooting that you might need to do. Maybe it’s something that happened when you were tagging or implementing the tag that the return variable didn’t populate correctly into the reports. If you want to change, say you bring through a numeric ID by accident instead of the dimension name, we’re actually very flexible in terms of you can map to that ID after the fact. So, if you want to map it to a different name, you can go ahead and do that with an Analysis Workspace. But if it is something that looks incorrect as far as in tagging or implementation, it might take you some time to just kind of use our debugger and try and figure out what might be sending back that incorrect value. Awesome. Okay. David asks, so many great metrics. I agree. Are there detailed definitions for each of them? Yes. So, on our experience leak and analytics section, if you go to the metric, if you search for metrics, we have a page that will give you all the kind of detailed descriptions as far as what that typical metric will be equated to. So, a lot of different metrics, a lot of different key performance indicators that companies want to visualize and look at. As you kind of scroll through and look at the different metric names and kind of which ones are most important, such as page visits, unique visitors, return visits, it’ll give you an idea of which ones would be most applicable to your business. But we definitely have something on experience leak that will kind of go through and provide you with descriptions as far as what each metric means. Awesome. Okay. Ryan asks, does the reporting tool offer predictions of any of the metrics that are tracked? Or let’s address that question first, Danielle, and then we’ll go on to his second question. Sure. So, if you’re looking for something in regards to intelligent alerts, we have something where we can see what types of KPIs or metrics are seeing an anomaly, a spike or a dip, and alert you to that through different means. That way you’re able to identify more quickly an insight that you wouldn’t regularly see if you weren’t logging in every day. So, I highly recommend if you have some types of metrics that you have in a report, we will sift through and see what type of intelligent alert we can provide to you based off the metrics that you’re interested in. And therefore, you can go in once you get that alert and see what caused that anomaly. Anything you would add there? Yeah, that’s great. I would say there’s a more advanced, probably more so in the grow track, but there’s an advanced capability called contribution analysis, which is powered by machine learning within Adobe Analytics that actually helps you understand what is driving changes in key metrics. So, probably don’t have time to review it in depth today, but take advantage of going on into YouTube and to the Adobe Analytics YouTube channel and doing a search for contribution analysis, and you’ll be able to see exactly how that capability works. Yes, great suggestion. Okay. Rananjai has another question about the differences between hit, visit, and visitor, but I think I’m going to postpone that question because I believe we’re going to learn about that in our next section. So, I’m going to move on to a little further down. Katie asks, how do you adjust the settings so that the percent total of data adds by row instead of by column? That’s a very good question. In order to answer that, I would need to be in the actual UI itself because I’m quicker at answering those types of technical questions when I’m actually in there with the data. So, I think one lesson out of today’s learn track is be comfortable with going into the UI and playing around because that’s how you’re going to learn more is by just kind of testing things out and seeing the different capabilities. There is most likely something within the right click menu or option that enables you to be able to do that type of action. I just can’t recall exactly how to get to it off the top of my head.

Great. Okay. I agree. Some of those questions, I feel the same way. I need to be in the UI and play around, but I know that is possible, Katie. So, bear with us. Be patient with us, but that is definitely possible. Okay. Let’s go to Venkatish. I think I may be mispronouncing it. I apologize. Is there a limit in data warehouse? So, limit of date range to download our data? In terms of retention, data retention policies, is that the general question? I think so, Danielle. I think that’s more of what’s the maximum date range that we can download our data or export our data out of data warehouse? I see. I actually am not an Avid data warehouse user. I’m more so in the user interface. I don’t have an answer for you today, but that’s definitely something that we can follow up with you on just to make sure that we have an accurate answer to that. We’ll get your information and follow up with you on that. Great question. Yeah. I believe it’s the amount of data that you have based on your data retention policy. Our standard is 25 months. So, if you have 25 months of data, you would be able to export that data from data warehouse. Okay. Let’s go one more question. Can we see the user journey? I’m going to actually address that question real quick. You can see the user journey, and we’re actually going to go through how you can look at the user journey in our sessions coming up today. But that is all the time we have. So, Danielle, we will see you again in Chapter 3. Thank you so much. Looking forward to it. Thanks, Clay.