51ºÚÁϲ»´òìÈ

Transcript

Hi everyone, my name is Danielle Doolin. I’m a Senior Product Marketing Manager for 51ºÚÁϲ»´òìÈ Analytics. Thank you for joining us today. Today we’re going to go through the learn section of our Skill Exchange program. So let’s go ahead and get started and take a look at what we’re going to be reviewing today. First, we’re going to get started with just some fundamentals of analysis workspace, really trying to understand some key terminology, as well as some basic metrics and measurements that you’ll be using when you start to build out your first projects. Then I’ll hand it over to my coworker Ashok, and he’s going to go through how to analyze the data. He’s going to bring in some freeform tables, some visualizations, and really show you how to illustrate your metrics in your data. Finally, I’m going to end things with our pulling it all together section. And what we’re going to do here is we’re going to bring those visualizations together. We’re going to look at how 51ºÚÁϲ»´òìÈ Analytics really measures the data. We’ll pull the data into the projects, and we’ll show you how to get started with sharing your projects and really being able to democratize that data. Once I’m done with the Getting Started section, I am going to do a live demo. And then at the end of the session, we’ll do a live Q&A section so you can ask questions and get more information about some of the basics that we’re going to cover today. So let’s go ahead and get started. Three of the key things that I’m going to cover in this Getting Started section. Our first is we really want you to get acquainted with 51ºÚÁϲ»´òìÈ Analytics terminology. Second, really truly understand the basics of Analysis Workspace. Analysis Workspace is our user interface that really allows you to visualize the data and to tell stories. And finally, we want you to be able to try it out in the interface and be able to see what it looks like to be able to build an Analysis Workspace project. Okay, so let’s first cover off on the basic terminology. What is web analytics? It’s the process of analyzing and measuring data and traffic on your digital properties, whether it be a site or an app. You’re wanting to understand visitor behavior and who is visiting your site or your app to be able to understand what they’re interested in, how to capture those users’ attention, keep them as lifelong customers. So analytics is super important for being able to measure traffic to your websites and visitor behavior so you can really understand how many people are coming to your site and how many people are making purchases. The next thing we want to talk about is why do we need web analytics? Well, web analytics is really important. We really want to be able to use it to be able to analyze user activities, learn from past marketing efforts, inform your strategies, and really be able to use that data to inform your next best action. Analytics is the data foundation, and you want to be able to leverage that data to be able to action against through your marketing campaigns, through your strategies, through your personalization engine, and making recommendations. So web analytics is super important to be able to really drive those conversions and be able to retain your users to make them lifetime visitors. So now let’s go over a few key metrics and really some fundamental KPIs in 51ºÚÁϲ»´òìÈ Analytics. Key performance indicators are super important. You want to be able to define those upfront, but the most common that we see today and the three most often that we have that you’ll see used throughout this presentation is one visitor. A visitor in 51ºÚÁϲ»´òìÈ Analytics terms is any number of unique users that goes to your site or app within a defined period of time. You’ll have many visitors that will come to your page or app. You want to be able to uniquely identify how many people are coming there, and that’s where you can use the visitor metric. The second metric that we have today is a visit. A visit is when someone comes to your website or app and actually visits a page. So we count every single visit, that interaction that happens on your page, no matter how many visitors it is. So as a visitor, I could have 10 or 50 visits just based off of my interest in that specific brand, and we’ll be able to count each of those visits for each unique visitor that comes to your site. And finally, you want to understand page views. So within a visit, you might have multiple page views as well. You’re not necessarily coming just to look at a homepage. You want to be able to look around and really understand and be able to read different articles or just really navigate around your webpage or your app. So to understand how many page views you have, you need to be able to measure that separately from your visits and your visitors. All three are important KPIs to really understanding your measurement in 51ºÚÁϲ»´òìÈ Analytics. Now let’s talk about some key terminology in 51ºÚÁϲ»´òìÈ Analytics. These are pretty common within the analytics industry, but it’s important to really understand and know these components when you’re building out your analysis workspace projects. So the first one we’ll talk about today is metrics. Metrics are quantitative numeric value, a count of something. So really being able to understand the number of interactions or events that occur on your website or app. So think of this as the number of page views, the number of purchases, or the number of visitors. The second one here is dimension. Dimension is categories. It’s a naming convention that allows you to categorize what users are interacting with. Some of these categories are most common. Page names or products, brands, location. All of these are types of dimensions that you’re able to take count of with a metric. And finally here we have segments. Segments are a great way to be able to understand your data and really be able to get to a granular level of what you’re looking at to find a specific set of visitors based off of certain characteristics. You know, dimensions are super helpful, but maybe you want to understand even deeper data points like how many visitors are new visitors to my website or how many visitors have at least two purchases on my website. So being able to segment these select users and being able to use those to action against and understand your data better is super important. So within 51ºÚÁϲ»´òìÈ Analytics there’s multiple tools and solutions for you to be able to both capture and leverage that data. You have data collection, which most commonly we use our data tag manager, which is launch. You also have reporting and analysis. So reports and analytics and what we’re really going to focus on today, which is analysis workspace. And then you have other things like data exports, where you’re really able to export that data and understand what’s going on with your data in other tools or Excel or your data lake. So today let’s focus on analysis workspace and then in further presentations you’ll be able to check out some of the other useful tools within 51ºÚÁϲ»´òìÈ Analytics. So it all starts with logging into Experience Cloud. This is where you really start off your process and being able to log into Analytics. First thing is you need an 51ºÚÁϲ»´òìÈ ID in order to log in. So make sure you have that available so you’re able to log in and get to 51ºÚÁϲ»´òìÈ Analytics. Now let’s talk a little bit about the solution, the tool itself. What is analysis workspace? Well, it’s a completely customizable, flexible user interface that allows you to create projects to be able to easily customize your data, to be able to build projects based on certain KPIs, no matter what area of the business you’re in. As an organization, your team may have a specific area that they want to focus on and they’ll build projects based off their KPIs. And analysis workspace really enables you to have those user-based or KPI-based templates to be able to create these types of projects. It’s built for speed. So it’s super fast. Our queries are built to be able to surface data in a matter of seconds. So it’s a really fast, customizable tool that enables you to look at your data in rich ways with all sorts of visualizations, which we’ll talk about today. Additionally, one other thing that’s super important is data democratization. So with analysis workspace, it makes it extremely easy to be able to share your data and your projects to other people within your organization. So we’ll take a look at that later today, too. So the first thing you want to do once you log in with your 51ºÚÁϲ»´òìÈ ID is you’ll get to your home page. And this is where you’ll see all of the 51ºÚÁϲ»´òìÈ Experience Cloud products that you have access to. So what you’ll want to do here is click on Analytics so that you’re opening the analysis workspace project. Here you can see the landing page for analysis workspace. Everybody’s landing page is going to be different depending on how many projects you’ve created or how many projects have been shared to you. When you’re first logging in, this will probably be a blank screen and you won’t have anything listed here. But what you’ll want to do at first glance, if you don’t have any projects, is create an actual project. And here’s the link to be able to create a new project. It’s a blue button at the top of the page. So when you click on the Create New Project button to create your first dashboard, you have the option to be able to create a blank dashboard. So start from scratch and just create everything on your own. You can also create a mobile dashboard, which allows you to create a dashboard that’s easily viewable on a mobile app, a smartphone or a tablet. And this is great for sending to management or executives if you really want them to understand KPI performance. But to start, you probably will use a blank project. But if you’re a little bit nervous about creating something new, you might just want to use one of the templates. So you can scroll through and see which type of template is most important to your business. Is it acquisition? Is it retention and loyalty? We have several different templates available for you to use. So then once you click Create Project, you’ll then open up to a blank slate and you’ll be able to understand where to start just by looking at which report suite you want to select. You know, obviously, when you get started with 51ºÚÁϲ»´òìÈ Analytics, you’re going to want to measure a lot of data. All of that data gets collected and distributed into different report suites. So as soon as you start to create a project, you need to understand which report suite do I want to create this project for. So in the top right area here, you have the option to look at the menu of all the report suites available. And you can select and type in search for the specific report suite that you want to look at. And again, a report suite is just a bucket of data that you’re able to segment to be able to look at your data segmented from the other data that you’re collecting. The next thing you want to do, you definitely want to make sure that you’re saving your project as you go. So the first thing you can do is actually go to the project menu. It’ll default to do project. You want to be able to save it with a name. So add your name in there, something that identifies it and allows you to easily know which project it belongs to. Is it your mobile dashboard? Is it a product specific dashboard? Here’s your opportunity to name the specific dashboard so you can easily find it and navigate to it. You even have the ability to add specific tags. So if you wanted to associate a specific topic or tag to that project or dashboard. So in Analysis Workspace, at first it can be a little daunting. You’re going to see a lot of different menus. There’s a lot of different capabilities that you have available and everything has shortcuts, which is really cool because maybe you don’t want to have to navigate up to the menu. Maybe you just want to do a quick shortcut to be able to add in a visualization or to save it. So really go through each of these menus to truly understand the different options of what you can do. You have the project menu, which has the basic capabilities of being able to name the project, save it, save a different version of it. If you want to be able to save that version to another user on your team, you can also do things like downloading it to a PDF or to Excel to be able to analyze the data further or to send it out.

The second menu you have in the top of your nav bar here is the Edit menu. And this is where you can really be able to undo and redo changes that happen within a project. Say you added a metric that you didn’t mean to, or you dragged a visualization that really doesn’t work. I do this all the time. I use the undo redo button. It’s really helpful to be able to just be able to quickly change back to the original version.

The third menu here is the Insert menu. And this is just the ability to really do some of the common actions that you would do in the left hand menu. So do you want to insert a visualization? Do you want to insert a panel? It just is another way for you to be able to quickly get to a menu to add in something without going to the left navigation. The fourth menu here is Components menu. This is where you can create new metrics. So creating calculated metrics is one of the coolest things that you can do in Analysis Workspace, because it’s completely up to you as to how you create that metric. You can use any two metrics in Analysis Workspace and create a calculated metric, like the percent of users that have spent more than five minutes on your site is an example. So you can create calculated metrics here. You can create new segments, new date ranges. You can even create alerts. So if you want to be alerted when your page views hit 1 million, you can set up an alert from this menu to get notified through email when you have that goal success. The fifth menu is the Share menu. So this is a really important menu when it comes to democratizing data and being able to share this out. You don’t want to just keep the data to yourself. You want to be able to share it with your co-workers or other managers within your organization so they can see how awesome your business or product is doing. So use this to really be able to share projects so that they can view it in Analysis Workspace, or you could also send it and share it as a file so they can just look at it whatever they need to in the email. The last menu here is the Help menu. And this, I suggest that you really take time to look through because this gives you a ton of different areas to be able to navigate to, to really be able to understand what’s happening with your solution. Maybe you need to use the debugger. Maybe you want to look up what a certain metric or dimension means or visualization. Go to the help documentation. There’s all sorts of different help areas that you can navigate to from the Help menu. So really take your time to click on each of these to understand how they can help you as you work through Analysis Workspace and build out your projects. So now let’s talk about the left navigation. The left navigation is really what you’re going to use the most to be able to build out your Analysis Workspace projects. The icon at the top is the panels column. So this is what will appear first off when you go into a project. And this allows you to pick different panels that you can add within a project. A project could have one panel. It could have five panels. The sky’s the limit. So with panels, you have different options. And we’ll go into that in the next couple slides. But panels are just a way to kind of break up and segment your dashboards with different visualizations and data. Maybe you want different date ranges in one panel versus another. The second icon here is visualizations. This is what you’ll want to click on when you want to select an actual chart or visual to coincide with your data. So if you have a freeform table and you have all your data selected with your metrics and your dimensions, and now you want to actually visualize it, you go to the visualization icon to be able to select which specific chart goes along the best with your story. And then the final one here is components. Components is where you’re able to actually select the most important things for your dashboard. And that would be your dimensions, your metrics, your segments in your date range. So this is where you’re able to drag and drop all those important components of your project in your Analysis Workspace dashboard. So you’ll be using this probably the most because you’re going to be carrying over a lot of metrics and dimensions. So these are the three panels that you’ll use within Analysis Workspace as you build out your project. So now let’s talk about some of the different panels within Analysis Workspace. Within Analysis Workspace, you have the option to select as many panels as you want within a project. And here are some of the different types that you can select. First one is the blank panel. So the blank panel allows you to start from scratch. The second one that we have is the Analytics for Target panel. This is beneficial for customers that have both 51ºÚÁϲ»´òìÈ Analytics and 51ºÚÁϲ»´òìÈ Target so that you can look at your target activities and your A-B tests within Analysis Workspace. It’s really cool. The third one we have is Attribution. The Attribution panel allows you to see different rule-based models for attribution to be able to really understand what has contributed to your goal or your success. This is a great tool, especially if you want to understand what’s leading to signups or purchases so you can really evaluate the performance of your marketing channels. The fourth one that we have is the default panel that you’ll get when you create a project. And this is the Freeform panel. The Freeform panel allows you to create a table using metrics and dimensions or any components and then be able to build off that to build visualizations and other things. Our Quick Insights panel is new this year and this is great for novice users to really be able to understand simple questions, ask them quickly, and be able to get the results in seconds. So for example, you might want to understand how many unique visitors did I have yesterday to my home page that came from California on a mobile device. So this Quick Insights allows you to quickly select those components, the metrics, dimensions, and it’ll spit out a table and visualization for you to understand. So again, it’s great for new users, especially if you’re building your first project. I’d encourage you to use the Quick Insights panel. And then the final panel here is our Segment Comparison. Segment Comparison is excellent for you to be able to take two or more segments and really be able to compare them, see where there’s overlaps or distinctions, allow you to build new segments off of it. But it’s an interesting way to be able to detect and see where there’s overlap and certain characteristics costs your users and visitors. So one of the key components with building out an Analysis Workspace project is being able to select what you want to include within your project. The first thing is you really want to be able to select your dimension. You need to have a dimension. You don’t want to just leave it to occurrences. You want to say, I want to look at my pages. I want to look at my products. I want to look at my brands, by city, browser type, mobile device type. All of these are different dimensions that you can utilize within your Analysis Workspace project. The second most important component when you’re building out your table is the metric. And remember, this is the numeric value that you’re able to count or quantify for your dimension. So with metrics, you’ll be able to see the number of page views for your different pages or the number of visitors per page. So it’s a really great way to understand more effectively your data and be able to categorize that data. Then you have segments. So segments we talked about a little bit just now where we talked about the segment panel. But segments is your ability to really be able to dig even deeper into your data to create a unique categorization based off of interesting segments to you. If you’re bringing in audience data, you might build out an audience segment so you can look at demographics compared to your page views or unique visitors. And then the last thing here is the time component. So obviously, you have your calendar date selector in your project, but you can also utilize the time component to be able to add to your project. So maybe you want to look at last month or last week, last two weeks, yesterday, today. It has all of these options available in the component section of your left navigation. So the other icon that’s available within your Analysis Workspace project is visualizations. So once you have your component selected and you’ve built out your freeform table in the panel, you really want to build off of that and be able to tell a story with your data. So here you’ll take the visualization section and be able to pick which chart visualization will be best to describe the data that I’m collecting. We have so many different visualizations available. We have 21 different visualizations. You can quickly adjust and create new visualizations on the fly, or you can simply drag and drop it from the left navigation menu. So it’s really interactive, really easy to kind of play around with, and it just takes some time to be able to make sure that you have the right data selected as you’re building the visualization to make sure you get what you need. Okay, so now that we know a little bit more about the fundamentals of Analysis Workspace, what’s available to you, like the various menus or the left-hand navigation, now let’s look at some tips and some training tutorials that you have at your fingertips that you can utilize to be able to leverage when you’re looking at Analysis Workspace. Within Analysis Workspace, you actually have a tip menu, a pop-up if you will, a notification at the bottom of the screen. This will pop up when we have new releases. So usually you’re so used to closing pop-ups or blocking pop-ups, but this is actually a useful one that you want to see because here’s where you’ll either get useful information about upcoming releases or new releases and features, or you’ll get new tips from our product experts on how to better utilize Analysis Workspace. It’s a great way to be able to leverage these tips, to be able to click on the link to see a video on how to use the tip. So make sure that you’re checking for these little pop-ups and not just closing them right away when you see them. You can also disable them if you’re really not interested in seeing the tips. There’s a little eye icon in the bottom of the box that you can use to hide it. So another thing that’s great about Analysis Workspace is that there’s a lot of training tutorials that you’re able to access from the tool, the UI. There’s different areas, and I’ll show you in the live demo where you’re able to get to one, but you can use this to kind of access tutorials and videos to be able to really understand different components of Analysis Workspace and see how the product experts are using it. So definitely leverage these to be able to see how you can use Analysis Workspace better. And in fact, we actually have a template that’s available for first-time users. So if you want to start out with a template that’s already been built out, check out the training template. It’ll allow you to play with your data, and it’ll teach you how to use different components of Analysis Workspace, whether it be building a table, creating a segment, or even building visualization. So check out the training tutorial after the session and kind of play around with it and look at your data and see how you can leverage it and build your own project using the tips that are in there. Here’s just a screenshot of what the training tutorial looks like. So it’ll help you and it’ll really walk you through it. There’s a lot of great information in there. It’s not just kind of tables and charts. It actually walks you through and talks you through what to do and how to kind of leverage the training tutorial. So again, make sure you check it out and add your own data in there. Okay, so let’s go ahead and get started. Let’s go into the tool and really dig around and see how we can create a new project and see all the different options that are ready for us to be able to use. So what we’re doing today is we’re signed into 51ºÚÁϲ»´òìÈ Analytics, and this is the home screen in which you’ll be able to select analytics. So I’m going to select analytics.

Now it’s going to download the main screen. If you have a project saved as your default view, then it’ll go to that as your landing page, but by default your landing page will go directly to your projects. If you’re new to 51ºÚÁϲ»´òìÈ Analytics, you’ll probably see a blank screen here with no projects listed. That’s okay. You’ll be able to start building your projects and you’ll have a list that you’ll be able to start to leverage and use and even create favorite views. So I’m here in Analysis Workspace. I’m looking at my list of projects. Like I said before, there’s that option to view tutorials. So if you want to be able to go and look at tutorials for Analysis Workspace, you can click on that link and it’ll take you to our YouTube page in which we have a ton of useful videos that you can see different types of Analysis Workspace features, how to use them, what they’re best used for. So I really encourage you to check out this YouTube page, which you can get to from your main project page by clicking on this view tutorials link. So in order to start and kick things off, as I mentioned before, we got to start with creating a new project. This is where you’ll be able to build your first dashboard. So I’m going to click on create new project. As you can see here, we have a blank project and that blank mobile dashboard. You’ll probably want to start off with a blank project. Mobile dashboards can be safer later when you’re a little bit more comfortable on how to build out your projects. You also have some different options at the top here. If you want to kind of scale down the number of projects or templates that you see, you can go to standard templates, which are built by 51ºÚÁϲ»´òìÈ. You can also go to custom templates if there’s any custom ones built. And then again, you have the tutorial section. So this is just another way for you to be able to go and leverage and see how to use Analysis Workspace with really helpful, cool videos that our product experts have created. Lots of great information here. So it’s just another way to be able to get more information about how to use Analysis Workspace. So back in all templates, you’ll be able to see all the templates that you’re able to use. You can search for a template or you can kind of scroll down and take a look and see which one would be most interesting for you and your company and your KPIs to be able to leverage your first dashboard. When you click on different types of panels or templates over on the right hand area here, you’ll be able to see a description of what that template is. So you can really see, does it make sense for what I’m trying to be able to build out with my project and the KPIs that I want to associate with it? What’s great to know is that all of these templates are pre-built with a purpose, but you can add any metrics or dimensions and even visualizations to make it your own. So it’s really just a starting point that you’re able to leverage and be able to use to build out your projects. So I’m going to go back up here and I’m going to go to the blank project. This is where we can start from scratch. Next thing you want to do is you’ll want to create. If you want to go back to the home menu and see the list of projects that you already have access to, you can do cancel, but for now I’m going to go to create. Now that it’s loading the new project, you can see here that it’s a blank panel. This is our free form panel. As you’ll see, it’s named free form in the top here. So this is where you can easily drag and drop your different components to be able to create your table. Remember what I said in the beginning though, first thing we want to do is make sure that we have the right report suite selected because if you’re using the analytics, chances are you have a lot of report suites that you’re going to be measuring and breaking up separately to be able to measure your data. So go through here, check the report suite that you want. You can even search for it in this top search section, but just make sure that you have your correct report suite created. The next thing you want to do is you want to make sure that your date range is here, that you want to use and be able to use as you’re building out your dashboards and coming back to use them day after day. So it defaults to this month. We have so many different options within Analysis Workspace to be able to choose from. Definitely scroll through and see which one makes the most sense to you. You may want to really have a short time frame where you’re looking at the data so you can use yesterday’s data or you could use the last seven days if you really want to understand the week. And then you have the option to use rolling dates. So maybe you want it to continuously update every day for the last seven days so it’s not just showing the current seven days over and over and over again each day you log in. So you also have the option of being able to select rolling dates. You can apply to your single panel, but like I said, Analysis Workspace can have many panels within a project. So when you’re changing dates you may want to apply it to all panels or you may want to have it to just this specific panel. This is where you can kind of adjust your panels if you want to have different date ranges in each panel on the project. So one thing here that I’ll also add is the first thing you want to do is definitely make sure that you’re saving your project. You can save it by naming it to a specific name that you want to associate to the project. So say that you want to create a mobile project you can go in here and rename it to a different name and add in tags as well so that you can easily navigate and find it. So let’s go ahead and build out our freeform table. So in order to get a table created we need to make sure that we have metrics and dimensions selected. It’s going to default to blank so I’m going to go over here to my metrics. You’ll see a short list of metrics here. You can actually expand this to view all of your metrics at once or you can even search for a specific metric at the top here. I’m going to close this out though and I’m just going to select visits as our metric to start with. So what I’ll do is I’ll click on visits and I’m going to drag it over to the table. Here’s where you’ll see a blue box and it’ll say add. So this is how you know that you’re adding a metric to the table. So I’ll load that in here and it’s going to load all the data and it’s going to show you a daily view for the past month of your visits activity. So it’s showing you the number of occurrences or visits that have occurred per day. It defaults today so now we need to go back and we need to actually select a dimension and this is where we can make it interesting where we can really categorize our occurrences to understand activity depending on what your business KPI is or what you really want to be able to understand with your dashboard. So I’m going to go ahead and I’m going to select page. That’s a pretty common dimension that most people use. So what I’ll do again here is I’ll click down on page and then I’m going to drag it over top and here I can see that it says replace. So I want to replace the day with the page. So now Analysis Workspace is going to recalculate everything and it’s going to categorize all of my visits by page. So I can see here how it’s filtered and it’s sorted by the most occurrences or visits per page. Obviously most often visited. Probably people have it bookmarked or it’s just the easiest URL to remember. So I can see here that I have about 118,000 page visits for this month. So this is how you create a simple table. I have one dimension. I have one metric. You just drag and drop it over and you’re really able to now build on top of this table and create your own unique dashboard. So that’s a quick look at Analysis Workspace. How to start off your project. Use some of the components that we talked about. A little bit later we’ll go into visualizations and how to share out your project. But definitely try out the projects. Create a blank new project. Use the training tutorial to test out how to create a project or use one of our templates that’s available that you can build off of as well. So we’re going to go ahead and go over to our question and answer section of the day’s training. So thank you so much for joining me today and let’s go ahead and take some questions. Danielle, thank you for getting us started off so well. The beginning of learning of how to use 51ºÚÁϲ»´òìÈ Analytics is an exciting time for our users. And I think you gave us a lot of great advice and insights. For everyone in the audience who are just starting out with Analysis Workspace, I would really encourage you to check out the tutorials, help section, and getting comfortable with the training template. As promised, I have senior solutions consultant Scott Brewer who’s joining us from Singapore to answer all your questions. Scott, welcome to the Learn track and over to you. Thanks so much Tanvi and hello everyone. Really excited to have you all here today and I’m going to be doing my best to answer any questions you might have. I can see that some questions have already come through in the chat so without any further ado I’ll get on to them one by one. So the first question we have is from Gaurav and he’s asked what is the difference between a visit and a visitor? So that’s a great question and often something that people ask as they get familiar with the terms that we use in 51ºÚÁϲ»´òìÈ Analytics. So let’s take a step back and not only will we look at what is the definition of a visit and a visitor but let’s also think about page views as well. And I think it’s good to understand what these mean practically and also what data is contained within each. So if we think about a visitor for starters, so a visitor or unique visitor as it’s referred to in the Analysis workspace is kind of like a top-level container. It’s effectively a person and a single visitor can have multiple visits. So again if you think about this container analogy it’s a good way to remember what is what. So again visitor can have multiple visits. Now that brings us to the visit itself and that’s quite interesting as well. So keeping with the container idea, a visit can contain multiple page views. So if someone goes to your home page and two minutes later they go to a contact us form that is two page views but it’s a single visit. Now by definition, like by default I should say, 51ºÚÁϲ»´òìÈ Analytics defines a visit in terms of a session length and by default that’s a 30-minute session length. So if someone goes to one page now and then five minutes later another page that’s still considered one visit. But if they go to one page now and they then go to another page in let’s say 32 minutes because it’s after that 30-minute window what will happen is that that is considered two visits because again the session ended after 30 minutes. So that’s how you can think of visits and visitors. Now I’ve mentioned page views a bit here and fundamentally a page view is a type of hit. So technically if you want to look at a particular page you might actually want to look at some dynamic stuff that’s happening on a particular page. So maybe interactions with a carousel or interaction with a calculator for example. So those are also hits and can be analyzed but generally you’re only going to have, most times you’ll just go down to the page view level for your analysis there. Okay, so let’s get on to the next question. So the next question we have is from Rebecca who asks, can you link visits to a visitor? Now again another great question. 51ºÚÁϲ»´òìÈ Analytics and all the 51ºÚÁϲ»´òìÈ solutions use what’s called an Experience Cloud ID service and it used to be called a visitor ID service. Now what that means is that when a user comes to your website or your mobile app there’s a special ID called the ECID assigned and that can effectively keep track of multiple visits against that particular visitor ID.

But from an analysis perspective generally you’re more often than not going to be looking at aggregate data and that’s the way sort of analytics has been architected. So you’re going to look at things such as daily totals or where people came from in terms of marketing channels, trends over time, etc. So hopefully that answers your question there Rebecca.

Jimmy has a question. He asks, does management need an 51ºÚÁϲ»´òìÈ Analytics account to be able to view metrics on their mobile phone? So first of all, yes they do and for those who are not aware, there’s actually a native mobile app for 51ºÚÁϲ»´òìÈ Analytics that lets your stakeholders be able to have quick access to the data. And the good thing is that as a sort of insights and data professional you can go in and actually curate the data ready for your stakeholders. So they don’t have to get too technical. You can basically surface the key business metrics that they’re interested in. You assemble the view that they’re going to see in the mobile app and this is all done via the Analytics web UI and it’s what we call scorecards. So you basically curate these scorecards ready for your stakeholders or your business management to have quick views on their mobile phones and that’s super helpful because at the end of the day data, you want to take action with data. And if they’re able to see the data and the insights very easily like that, then they’re able to be more nimble in their business decisions and using that data to make informed decisions, to make better decisions. So overall having that data at the fingertips is going to make for better business. So I’ve got a question from John here who asks, what are the differences between metrics and dimensions in simple terms? Yeah, another good one. So I’ll try to make this as easy as possible. So if we look at metrics, think of metrics as numbers. They’re quantitative. They’re counts of items. You know, things such as how many page views occurred in a certain time frame, how many purchases, etc, etc. So metrics are numbers. Now as for dimensions, you can think of these more like names. So, you know, maybe it’s names of categories, for example. It can be product names. It can be marketing channel names. You know, did the person come from social or paid media or from an EDM? So those are all names and get recorded as dimensions. So just to recap, metrics, numbers, dimensions, names.

Now Jane asks, how many visualizations are available in Analysis Workspace? So just to recap on this one, there’s 21 out of the box. And just to talk a little bit about this, I mean practically speaking, when I’m building a project, I tend to, you know, start with the basics. So I tend to start with freeform tables a lot. And as you’ll see in the UI, the UI is very, you know, user-friendly and easy to use. So it’s all drag and drop. So I’ll be, you know, dragging in the data that I need there and doing some analysis. And then from that, usually this progresses into doing a line visualization or a line chart. And that’s particularly useful when you want to look at trended data, especially over a particular time period. Other useful visualizations include things such as donut, bar, and scatter visualizations. Now the donut is great for visualizing dimension data in particular. So just going back to what I was saying about dimensions is that, you know, if you think of them as names or groupings, you can quite easily understand why a, you know, donut visualization would be very effective for this sort of data. And for those of you who haven’t seen the donut visualization, it’s effectively, it looks, it’s like a pie chart except cooler looking pie chart, let’s say. So let’s say, you know, and just to give you a bit of flavor here and a bit of context, let’s say that you want to show your stakeholders a breakdown in app usage. You want to show them, you know, how many people are using iOS and how many people are using Android. Or you could even be showing them, you know, how many people are using web versus mobile app, for example. Now donut visualization is fantastic for this because it’s a, you know, at a quick glance, because it’s graphical and visual, at a quick glance, you can actually, you know, have some actionable insights from that. So let’s say your organization has invested a lot in iOS development. So you’ve got a lot of resources who are iOS experts and, you know, they’re coding away, making the iOS version great. But let’s say, as you’re doing your, let’s say you’re doing a monthly analysis and you’re starting to see that Android suddenly has become the more popular platform that they’re consuming your services with. Well, you can take this to your management and stakeholders and build a business case. Let’s say if you wanted to, or you thought that you should be investing more in getting more Android developers, for example. So that simple example is a way you can take data, have it easily visualized and have stakeholders, you know, have buy-in from stakeholders to be able to make real important business decisions. And the great part is, you know, at 51ºÚÁϲ»´òìÈ, we always talk about being data driven and effectively, if you’re operating and being data driven, you’ve got a lot higher percentage chance of, you know, making the correct decisions. So it’s very good for, you know, use the data to build your strategy, you know, to be nimble and take your business further.

So another question we’ve got here is a bit more technically asking, how many breakdowns can I do on the data? Now, breakdowns are a great thing in 51ºÚÁϲ»´òìÈ Analytics because it’s one area that we see as one of the core strengths of 51ºÚÁϲ»´òìÈ Analytics over a lot of other analytic solutions out there, because there is no limit on the breakdowns. What you find with a lot of analytic solutions is that they might limit you to one or two breakdowns, but with 51ºÚÁϲ»´òìÈ Analytics, you’re free to do a breakdown and then a sub breakdown. And if, you know, there’s a further sub breakdown, you can keep doing that to your heart’s content. So the breakdowns are one of the stronger points of 51ºÚÁϲ»´òìÈ Analytics. Now, another question here, how do you encourage adoption in an organization? Now that’s a great question. And I think the first, there’s a few key tasks that you can do. And probably the first one is to socialize the capability, socialize that this sort of analysis and insights are available. And then the second thing you can do is highlight how user-friendly it is to use Analysis Workspace. We sometimes see organizations shy away from 51ºÚÁϲ»´òìÈ Analytics because their staff might be more familiar with, for example, some free analytics solutions out there. But what I want to highlight is that the 51ºÚÁϲ»´òìÈ Analytics UI is, it’s being built to be super user-friendly and one should not confuse familiarity with ease of use. So what you’ll find is that as soon as your staff get into the UI and use it, they actually realize, wow, you know, this is actually the easiest solution that’s out there. And they’ll probably be kicking themselves for not getting into it earlier. So I think that’s, you know, probably two of the main key points. You might want to follow that up with some sort of formal training. Now whether it’s, you know, whether you’re running your insights and analysis function within the organization and whether you want to be doing that training yourself or whether you want to engage 51ºÚÁϲ»´òìÈ’s training services or partners, that’s really up to you. And then probably the final thing is that there’s a lot of functionality that can be done in Analysis Workspace that people are currently doing in other solutions. So for example, a lot of people export data out to Excel and then do some calculations there. Well, Analysis Workspace has a really advanced calculated metric system and you can easily do all those calculations within the UI. So get people using the UI, you know, socialize the capability, democratize it, get your stakeholders on there. And yeah, I mean, really, we look forward to you getting the most value out of the product as possible. So with all that, thank you so much for your time. Apologies if we didn’t get onto some of the questions and I will pass this back to Tanvi.