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 those 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 app? How can I really drive conversions to get people to purchase or to sign up for a service? 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. 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. That brings me to the second term, dimensions. Dimensions are not numeric descriptions, but they are descriptive. It allows you to categorize your data to understand exactly what you’re measuring with your metrics. 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. 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. Reality 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 an 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 and 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. 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. 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. 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. 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 in 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 could do that. It just looks a little bit more professional and adds a little bit more possess 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. You want to make sure that it’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 dropdown 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 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 freeform 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 free form 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 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 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 at 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 for that brilliant introduction to Adobe Analytics. So glad to have you here to answer our audience’s questions. And to you, our audience today, we’re so thrilled to have you here with us and I want to encourage your participation. So please don’t be shy. We want to answer your questions in real time. So please drop them in the chat box to the right. Welcome Danielle. Thanks Tom. Great to be here. Brilliant. So let’s have a look at some of the questions. Okay. So firstly, I mean, so as a first time user, what should I start with in Analysis Workspace? So as a first time user in Analysis Workspace, I realize it can be a little bit overwhelming. You know, where do I start? We’ve built out reports and templates that allow you to go right in and analyze a report with pre-built metrics in it so that it’s easier to kind of just jump in and look at an actual report that’s already been created. Another really useful tip is definitely leverage experience league. Look at some of the training tutorials and videos. We have a ton. We also have our own YouTube channel to be able to kind of understand specific features, how to get started, getting advanced. I mean, we have hundreds of videos, so there’s a lot of content for new users. Additionally, I think I mentioned that within the new Analysis Workspace landing page, we have a specific learn section. And learn is where you can go to immediately get access to short videos and training tutorials. We even have a training tutorial project, which kind of walks you through as a new user, how to build out a project. So I really recommend first starting out with reports, do some research and look at videos on our YouTube channel experience league, work with your consultant. And then finally, when you’re feeling confident enough, you can go on to projects. Brilliant. Thanks, Danielle. Yeah. I mean, a ton of great resources available for users to learn and start to understand Adobe Analytics much better. So we’ve got a question here also from Alexandra. So which metrics would you generally consider the most important? Ooh, that’s a great question. It’s heavily dependent upon your industry, what your business goals are, your KPIs. I’d say the most common metrics are page views, visitors, purchases, revenue. I work a lot with media and entertainment customers. They’re more interested in number of stream starts for media completion rates, understanding time spent. Time spent is a great metric to understand how long are users actually engaging with my pages or my app? How long are they spending with my brand? Typically users that engage with your site or app longer are tending to be more loyal customers. You want to retain them and maybe even segment them off in your data versus users that may not be engaging as long that you may want to segment off to kind of retarget and make recommendations so they engage longer. So great question. It really does depend on your business goals and KPIs. That’s something at the beginning that you really should focus on and determine which metrics am I most interested in that will help me to get to my business goal. Because as you’ll see with Adobe Analytics, you’ll be collecting tons and tons of metrics and dimensions. So it’s important to lay out at the beginning which ones are the most important to you so you can focus in on those. But don’t forget the ones that are less looked at. You may find some interesting findings from those as well using anomaly detection and analysis workspace. So really no straight answer. I feel like the metrics that are used most often though are page views, visits, time spent, revenue, purchases, et cetera. Great. Okay. Thanks, Danielle. Yeah, that makes sense. And on a similar note here, it’s a question asking what is the difference between a dimension and a segment in Adobe Analytics? That’s a great question. I mean, dimensions are non-numerical. They’re descriptors. So as you’re setting up your metrics, dimensions are a way to identify what corresponds to those metrics to categorize it. So you can think of a dimension as something like a product name, a month, a type of device, a location. Whereas segments are based off of characteristics and behaviors. So as you’re starting to look at your data and understand what’s happening, you may want to segment specific visitors or hit level events to be able to understand your data better. So I have a segment where, like I said before, I focus on media. So I only want to look at a segment of visitors that have watched a video piece of video content. That way I can understand their visitation habits versus those that are just coming to the website to search for something. So utilizing segments is a great way to go into analysis workspace. You can build them on the fly and really be able to create unique segments based off of visitation and behaviors versus naming characteristics for your metrics. Great. Thanks a lot, Danielle. Got another question here, a slightly different topic. But this member of the audience can only see four different options within their workspace, but not all the ones that you’ve mentioned throughout today. Is this to do with potentially a version or some settings that maybe are not activated? Yeah. So I was really excited today to share with you all the new analysis workspace landing page because pretty soon it’s going to be available to everyone. Right now, if you go into analysis workspace, you should see at the bottom of the screen a beta toggle. So a lot of the customers that are using it right now are in the beta stage where we’re just testing it out and seeing how people are utilizing it. But soon this year we’ll have it released to all customers. So as soon as you go to analysis workspace, you’ll see the version that I was looking at today. But if you want to see it beforehand, you can go ahead and look down at the bottom of the screen for that beta switch and turn it on or off, depending on which version you like better. I thought it was important to be able to share the new analysis workspace because as the year goes on and next year, you’ll want to be able to start utilizing this. And there’s a lot of great new, exciting things in there, like the learn section and our new report section. Yeah, no, that’s great. Good to hear. So it’s so many good enhancements coming to the product. And here, another question here specifically on customer data. So it’s around, is it possible to check sort of user level data within Adobe Analytics, potentially using the Adobe Visitor ID? Yeah, we absolutely have user level data, visitor level data that’s available to everyone within Adobe Analytics. In fact, with Ultimate, which is a version, a tier, the highest tier of Adobe Analytics, we actually have something called cross device analytics. And with cross device analytics, that allows you to understand unique visitors behaviors de-duplicated across devices. So if you think of a user that both uses their mobile device as well as their desktop to go to your site, you can now look at those people as unique individuals that are interacting with your brand. So we provide something called a people metric through our cross device analytics that allows you to even more individually understand user characteristics across devices through our people-based stitching, field-based stitching, as well as our private device graph. So yes, we have user-based analysis that’s available within all of Adobe Analytics. We also have unique de-duplicated user metrics within Analytics Ultimate with our cross device analytics. Fantastic. Okay. Another question here from the audience. So this is on pathing analysis or the flow reports within analytics. Is this possible using the EVAs to add an EVA level? So the way that the flow and pathing analysis works is by dimension. You can add segments to it, but it’s by dimension. So you’re looking at it upon entry. How are my users flowing? If you want to look at it from the exit point, what are they doing before they exit? You could look at it in any in between points. So a lot of times with users, they’re looking at it from the page flow of how users are going through their content. Where do they go after they go to the home screen? Or what is the first place that they go to versus the home screen? Are they going to another section of my site that they’ve bookmarked or have gone through search to find? So there’s a lot of unique capabilities within the user flow analysis looking at it on a dimension level. Yeah. Okay. And then you mentioned dimensions there. We’ve got a question here on dimensions from Pavel. So when you add a dimension to a freeform table, it always shows as occurrences as the metric. Is this a default naming convention that we use in analytics? Or is this something that can be changed? Oh, absolutely. Yeah, definitely. So as soon as you drag over a dimension into your freeform table, the automatic default metric that appears is occurrences total. So you can easily replace that by dragging another metric on top of that kind of cell or column. It’ll show you in the visual of analysis workspace, it’ll say, do you want to replace it or do you want to add it? So you can easily remove that occurrence metric. It’s just the default metric, but you can replace it and add as many metrics as you want in that table. Yeah, makes sense. Okay. And it’s a slightly different topic here. So everyone in the audience here, I presume, will be logging in and starting to play around with the tool. But a question about non-Adobe users. So what if there’s someone you want to start sharing data with, but they don’t have an Adobe Analytics login? How would you approach that sort of situation? That’s a really good question because a lot of times you may have different teams or upper management within your organization that don’t have an Adobe ID or don’t have a login, so they can’t access it, or maybe they don’t want to. They’re just like, send me a report. I just want to know how the company’s doing or how the team’s doing. You know, what are my product purchases look like this month compared to last month? So as you build out your projects with an analysis workspace, you actually have the option to do a few different things. You can share it via email. You can download it to CSV. You can download it to PDF. But just be careful because sometimes people create really long projects, and when you open it in PDF and try to send it, it could be like a really long scrolling report. So if you’re going to be sharing it and copying the link to share to other non-Adobe users, just make sure that it’s in a digestible format. Another option, Tom, that we talked about earlier, which is Adobe Analytics dashboards. And this is a really cool new thing that you can use through your mobile app. So if you go to your app store and you look up Adobe Analytics, you can download the Adobe Analytics dashboards. And this allows you to, within analysis workspace, build out projects that are specific to the KPIs that you identified in the beginning. The projects are specific to a mobile dashboard so that it’s not as cluttered. It doesn’t have all the fancy things that you would get in your typical project. Once you share that to analysis workspace, you can open up the Adobe Analytics app and see it right within the app. So if you want to give your manager access to this report, so at any time they want to go into the mobile app and see how the company is performing, you can do that. They just need to have an Adobe login to be able to access it. But it’s a great way to be able to surface insights up with an easy to use mobile app. Yeah, and I’ve seen that in action and there’s lots of great content on the YouTube channel for that particular feature. So yeah, I’d encourage you to go and check that out if that’s something that would interest you. And another question just here, Danielle. So you spoke about something to watch out for there in terms of producing those exports. For a new user, what’s one thing that sticks out that maybe you’d encourage people to keep an eye out for or just to look out for as something that potentially avoid a pitfall as they start to develop their skill set with Adobe Analytics? Well, that’s a great question. As I mentioned before, training tutorial project is the best way to start out as a new user because it kind of walks you through the elements of a project, teaching you how to build out a table, how to drag and drop metrics and dimensions and going on to more visualizations. Next I would say go to your reports because those are the prebuilt reports that you can add to. You can add in additional metrics or visualizations, but it’s just prebuilt reports that you don’t have to worry about. Analysis workspace is the final step where you start to create and build out projects once you’re feeling comfortable with it. I’d say the most important thing is just getting started with freeform tables and then from there you can start to bring in visualizations. Additionally, we have a new thing this year that we released called the Quick Insights tab or panel. Quick Insights allows you to ask simple business questions about your data in a simple kind of question format. So if you want to say, how many people have accessed my site from California that have mobile iOS devices? You can ask that type of question and immediately it builds out a table and a couple of visualizations for you so you don’t have to worry about creating this glamorous, fancy project. It produces it for you based off that simple business question. So those are some great ways to get started if you’re a new user. That’s brilliant. Yeah, I’m sure there’s plenty to take away there for our audience. But unfortunately, Danielle, that’s all the time we have right now. So thanks once again and we’ll see you again in chapter three. Sounds great. Thanks Tom.