Mastering Your Adobe Analytics Toolbelt

Transcript

Hi everyone, my name is Christos and I’m thrilled to be here to walk you through how you can expand your analytics tool belt. A little bit about myself, I am a former web analyst so I was kind of first hand in the tool, I kind of know what it’s like to be there receiving asks from various stakeholders within the organization and I really kind of bring that experience and perspective into my customer interactions today as a consultant at Adobe and it is something you’ll see weaved into our conversation here today. So today’s goal is really for you to leave this conversation being able to solve business needs and advance your usage of Analysis Workspace. We’re going to be covering a lot throughout this. We’ll be starting out with some foundations for being a strong analyst, leaning into and expanding your Analysis Workspace tool belt as well as walking through some analyst scenarios. You’ll notice that there is a chat pod and you’re able to drop your questions in there and we’ll be back at the end to answer some of those in a Q&A format and I’ll be looking forward to your questions as we go through this. Starting out with what makes a good foundation for an analyst. Some of the table stakes or the givens here are somebody who is analytical, somebody who is a great storyteller, who is curious. Adding to those key areas of the profile of a good analyst are your areas that you should be focusing on and something I like to start out with before we really start focusing on the feature specific content here today. Beginning with partnering with your business stakeholders. Here is your opportunity to really invest time in building the relationship with various stakeholders across your organization. This is fundamental to any further down the line analysis that you may be doing and one way to do this is really be curious and learn about how business stakeholders are making decisions as they stand and where experience analytics and the data from Adobe Analytics can help inform those decisions. Also I really recommend you to lean in and provide internal thought leadership to stakeholders ultimately with the goal of democratizing access to Adobe Analytics so you can teach them to fish and you’re not the only one fishing. Lastly really focusing in on your strategic goals and ensuring that what you’re measuring and what you’re reporting on is reflective of your overall corporate goals as well as your digital goals. Now building on that business stakeholder pillar is expanding your technical proficiency and ultimately this is moving beyond the simple reporting aspect of analysis workspace and really understanding how data is being passed into Adobe Analytics. Many of us come from different backgrounds in Adobe Analytics and we have either individuals that are coming from marketing or strategic backgrounds and often times this is an area that’s overlooked. So I encourage all users regardless of your technical proficiency to really become intimately familiar with the BRD and the SDR and shop the site. Encourage yourself to use the experience platform debugger and to understand what data is currently being passed into Adobe Analytics. And then of course familiarizing yourself with your tag management system and your overall architecture for data collection. That is going to be something if you invest a little bit of time into it will pay dividends further down the line as you’re doing further analysis. So lastly and what we’ll be spending the majority of today’s discussion on is your analysis workspace tool belt. And I include that here as the third pillar and it really is built on these previous two pillars of expansion of your business relationships as well as your technical proficiency. And I use the analysis workspace tool belt as a metaphor and this metaphor is really to describe your familiarity and comfort with the breadth and the depth of features available to you in analysis workspace. I encourage you all to take inventory of all the features that you’re currently using in analysis workspace. It really is pretty common that we work with customers who are only using about half of the features available to them in analysis workspace. And oftentimes I like to say that you may not be familiar or exposed to certain features and if you’re not exposed to or familiar with your entire tool belt it’s sometimes like using a pair of pliers to hammer a nail. It could work but there’s definitely a more efficient way to do it and that same concept applies to business asks. So we’ve talked about how your mastery of the capabilities in analysis workspace coupled with business and technical acumen is what will separate you from being a good analyst to a great analyst. Now we also talked about efficiency and knowing which tools to harness when the opportunity arises. In this next section which is going to be the bulk of today’s conversation we’re going to talk about how you can use some of the latest and greatest features in analysis workspace to bring your customer journey to life in the form of some scenarios for an analyst. The goal really here is to get you familiar with the features that are available to you in analysis workspace and ultimately take you to the next level of efficiency of deeper dives into your data and hopefully an opportunity for you to teach and evangelize those products outside of your core analytics team. The way this is going to work is I’ll be sharing these scenarios and we’ll go through these and I want you to think about use cases of your own. I want you to think how this can be applied to your business and we’ll be starting pretty simple here and we’ll start out with our scenario one. And scenario one is where we’ll take a look at doing efficient page analysis. So here we have our colleague Andy. Andy reached out, sent me a message saying, hey, oh, we’ve got an urgent ask. Sorry in advance for that. Andy is in a meeting right now and he’s in need of some data. It looks like he’s presenting in 40 minutes and we need these ASAP. He is asking for a favor here. So what kind of traffic are we seeing on the new location search results page that he’s referencing there? And can we view this across device types? Interesting. Okay. So immediately I want you to start thinking, okay, what report would I be using to tackle these asks that are coming from Andy? Also, could you pull this to the top pages immediately before this page? Okay. So I’ve got my notes here. I’ve got traffic volumes on this new page broken down by device types and the top pages immediately before this page. So let’s hop over into the UI and see how we will tackle these asks from Andy. I will open a blank panel here and be leveraging the page summary report. I’ll pull in page summary and the main inputs for page summary. It’s just your page dimension item as well as any segments that you’re interested in. So I’m going to be searching for our search results, our location search results page here. I do recall Andy also mentioning the desire to break this down by device type. So I’m going to actually just search for mobile device type as my method to split this traffic. And I’ll pull in our top three device types, tablet, other, which is desktop and mobile phone. I’m going to drag these over holding down the shift key. And this is going to create in my finished product the ability to filter these and break these down by device types. So we’ll pull this data and start out with a no filter view. And as you can see, we’ve got our page views for the current month, looking at it last month to four weeks prior, as well as 52 weeks prior, which is just a really great way to be able to encapsulate and quickly get to some answers specific to the statistics, high level statistics of a page. You see that trended out as well as some other breakdowns and interesting data points specific to that page. And then if you scroll down to the bottom, you’ve got the flow diagram and this flow, this isn’t the last time we’re going to be talking about flow here today. This is a relatively simple flow diagram, which is looking at a page flow. I think the most traditional method of flows. But you’ll see also that this knocks out his third ask of the top pages immediately before this page. I’m going to package this up and send it over to Andy. Hopefully he’ll be impressed with the quick turnaround that we were able to do. But fortunately for us, we have the page summary report in our tool belt to be able to answer quick questions like this. Now that we have sent this off to Andy, he’s going to be able to receive this and do that analysis, get that high level view of this particular page that he’s very interested in. And he’ll be able to do a quick filter, look at something like mobile phone visits for this particular page. You’ll see that this dynamically updates. That filter capability and the ability to drop down a filter or a segment really up here is a fantastic way to create a dynamic project or report that now maybe Andy isn’t going to have to reach out to you in the future. Maybe you walk through how to create this with Andy so he himself can pull this report when he’s in a time crunch and maybe you’re unable to answer him. So let’s go back to our slides here. We’ll provide a recap on the page summary panel. Page summary is a quick way to get metrics and very high level visualizations for a particular page. You can answer questions like what volume does this landing page get? What are users doing after they land on this page? Ultimately, this is your go-to if you’re trying to get a very quick page performance report and any other contextual data, use the page summary tool. It will be a much more efficient way to get those answers. All right, scenario two. We have Alexa Newton reaching out to us. She’s from UX and it looks like before the 9 a.m. stand-up meeting tomorrow, she needs a view of what users are searching for that end in lead submits. Interesting. Is there a way to do this in Adobe Analytics? Alexa, you came to the right place. This is absolutely something we can do in Adobe Analytics. Looks like she’s also interested in seeing what users are doing after they enroll. So take down my notes. I’ve got what internal search terms end in a lead submit and what are users doing after they enroll in email? Let’s hop over into the UI and get those answers for Alexa. I am going to create a new workspace project here and I’m going to pull in a flow visualization. Now this flow visualization, it may look a little different depending on the last time that you’ve used this feature. We did have that flow in the previous demo but this is kind of starting from scratch and when you start from scratch, you’re able to create a more sophisticated flow. So you can now use dimensions, you can use metrics and any dimension item within this particular flow creation. With the new flow visualization, it has been improved to enable you to analyze the journey stemming from or leading up to a specific conversion event or various milestone within your experience. You can now configure the start or end path you’re interested in. So in the case of Alexa’s ask, what internal searches end in lead submit? So I’m going to select leads as my end with and my pathing dimension is going to be the internal searches and internal search terms. I’m going to build that out and that will give me a very interesting view of a interdimensional flow diagram. So we’re looking at internal searches and we’re looking at leads. So here, the final product, we’ve got our internal search terms. Of course this is just demo data here but you can dive in even deeper here and see what internal search term leads to the next internal search term that eventually leads to a lead. That’s the beauty of this interdimensional view of flows. We’re able to see things across that visit regardless of the fact that it’s a dimension or a metric and it’s just a fantastic way to capture your customer’s journey. Now her second ask was what are users doing after they enroll in email? So let’s do the same exact thing here. We’ll pull flow diagram and in this case we’ll start with a starts with flow diagram and we’ll pull an email enrollments, email enrollments and she’s interested in seeing what users are doing and in this case maybe we’ll just say a page report. We’ll pull a page report and what this will allow for is us to see the pages immediately following an email enrollment that is occurring on this site, where are they going after that and being able to go in and see this very interesting analysis here of the paths that customers are taking. They’re taking from post email enrollment. This is just another example of how interdimensional flow visualizations can help you and in this case can help Alexa. So again this is a great way to understand journeys stemming from or leading up to a specific event or dimension. Use this to do all sorts of flow analysis, customer journey analysis. So we talked about search terms, really anything that maybe a dimension that changes over the course of a visit or even over visitors lifespan is a great way to leverage this or in this case again we talked about what are users doing immediately after enrolling an email, maybe wanting to see what individuals are doing after they add to cart. Is there a path that users are taking that maybe is outside of the ordinary? All ways that you can use this tool to drive value and identify opportunities for improvement within your experience. It looks like we’ve got a follow-up ask from Alexa. Alexa’s interested in seeing a week over week view of form conversion steps split by display and email. Looks like Brett is really interested in this data. Hopefully this is something we can help tackle. So we’ll pull a week over week form conversion steps by the two channels that she’s specifically interested in. So I’ll come over here and I’m going to create a fallout report and in this fallout report I am going to pull in my lead form and I’m going to pull in steps one, I’m going to pull in step two and what I’m doing here is creating a funnel really for this lead form process on our site and I’ve got my all visitors and then eventually how many of those visitors successfully reach step one, step two and then a lead existing that it would be a completion of that funnel. And she’s interested in seeing this in a week over week fashion. So I will pull in my date ranges and I’m going to pull in this week and I’m going to look at this week versus last week and what I’m doing here is just pulling in my two date ranges that creates a consolidated view of this fallout report and I’m able to quickly compare performance of these very important steps in the funnel to identify week over week changes. Looks like she’s also interested in display and email breakdowns. So what I’m going to do here is pull in marketing channel and open that up. So we’ve got display and email as our two breakdowns. Again, I’m leveraging that holding down the shift key to create a drop down filter and what that’s going to do is layer on a filter on top of this already created funnel. So all within one report I have answered the follow up questions that Alexa has asked. We’ve got our week over week view of form conversions and the various steps by marketing channel and I can just flip down and change that as necessary. Additionally here, if I want to take my analysis to the next step I would be able to actually leverage this fallout report and create a segment from that touch point. So it sounds like she’s really interested or Brett is really interested in this analysis. What I’m going to do is create a segment from that touch point and I right clicked on the last step of that funnel and it will auto create a sequential segment here and as you can see we’ve got all of those form steps. Step one, step two then leads. Perhaps we want to take this and leverage a filter or a version of this for personalization and what I can do here is lead step one exists as well as step two but the actual last step in that process does not exist. I can remove my last week funnel here and I’m going to actually delete that container and on a visitor level I’m going to be able to look at lead form step one, step two, step three and this is a great opportunity for me to push this to experience cloud to do some further targeting or testing in Adobe Target and possibly convert those individuals that have reached step two but not completed. I really love the fallout report for the ability to identify those key steps in a user’s journey and I know as an analyst I would look at this report on a daily basis if not daily I’d look at it intradaily and see how the overall performance of the site was progressing throughout the day. You can look at things like conversion rate, it will allow you to look at things month over month, year over year, having that contextual data there is always really helpful. So definitely recommend leveraging this. Additionally sequential segments are a great way to look at a customer’s or user’s journey throughout their visit or their visitor level and what this allows you to do is identify and analyze those users that may be conducting some sort of behavior before a major milestone or even after a major milestone or like the example that we talked about identifying and targeting users that reached step two but did not reach step three. This is using that then operator so the then operator allows you to extend the life of that segment across multiple visits or across the visitor container and do that deeper analysis to inform your experience strategy and ultimately activate it and do something with that data. So now onto our scenario three, contextual information and storytelling. We’ve talked about storytelling being a very important part of any analysis or any analyst’s tool belt. This next scenario will exhibit that in a way that is very real. So we have an email from our friend Reed Jansen. Reed I sat down with him yesterday, I shared a new analysis workspace project and he is really keen on getting that project in the hands of the paid media team. So looks like he’s asking for ways or methods to accomplish this and provide context on some of the things that the paid media team has a little less visibility into. So things like our overall site changes, they’re not really up to date on that and generally speaking they are just not very advanced in their Adobe Analytics usage. They never really log in so how can we accomplish that? Let’s think about that for a second. So we want to tackle creating context and then how to share and really democratize the access of analysis workspace. The first thing I think of is our lovely new feature that is annotations. So I’m going to go back into the UI and I am going to walk through the annotation creation process. What I’m going to do is hop back into the UI and I’m going to use one of my templated dashboards here. So here we have the analysis workspace project that Reed had mentioned and what I’m going to do here is demo the annotations feature. We had a redesign of sorts on one of our pages on a very high traffic page on this day. So what I’m going to do is right click on this and I am going to create an annotation from that particular cell. And just for some context on annotations since it is a bit of a newer capability, annotations are tied to a single date or a date range. So this can apply to your entire data set so all report suites or to specific metrics, specific dimensions or particular segments. In this case you’ll see here that you have the ability to make this a project only annotation or make it a default across all projects. So this is just a helpful way to limit the visibility of annotations. So what I’m going to do here is just keep this on a project only annotation and I’m going to enter a title here, site redesign and please note from this day onward the site was redesigned. And I’m going to hit apply. And what that’s going to do is begin answering some of the questions that Reid had for our paid media team so that they have a little bit more visibility into what’s gone on in the experience on site. And as you can see our annotation is available and again you would just click on that annotation and see the detail that I provided specific to that annotation. If I were to pull a visualization of this trended view on top I would also see the annotation icon appear specific to, well in this case I’ve got that day selected I’m going to deselect that day and you can see we’ve got our annotation for the 18th. If I click that it gives some context around what’s been going on on the site. If I were to send this out to a team that is maybe a little less familiar with Analysis Workspace I would definitely leverage the edit description capability here. So if you were to right click on the white part of any panel and you’d be able to create a description box really it’s a text box underneath a free form table in this case and this is a trended view of visits over the last month. Reach out to me, to Christos with any questions and I’m going to hit save there and it just provides a little bit of that context and this is very similar to the text box capability which is if you want a larger canvas for providing that context for the end recipient I highly encourage you to leverage that as a way to ultimately make it easier for the consumer of this to get the answers and not be left unsure of what they’re looking at. Another really great feature here is the curation of project data. Curating all that does is it takes all of the metrics dimensions in the project that I’m currently using and limit those on the left rail. So we see a lot of times teams using curation for sending something off to a team that oftentimes gets overwhelmed with all of the dimensions and metrics typically available in Analysis Workspace so check out project curation if you find yourself in a similar position. And kind of going back to the ask from Reid, he’s interested in seeing ways that we can get projects and Workspace in general and Adobe Analytics in general more easily accessible. We’ve talked about a couple of examples but also highly recommend always checking out the Dashboard’s mobile app. In this case we’d want to create a mobile app for that paid media team and the paid media team would be able to download this on iOS or Android and as an analyst I would set up this mobile scorecard for the team to leverage and this is a really great way to tiptoe into the world of Analysis Workspace. So here we have a mobile scorecard that maybe the paid media team would find helpful. You actually will create the scorecard experience in the desktop version. Anyone with a login can download the app on iOS or Android and understand very high level views of main KPIs on the site. You’ll also be able to click into these tiles to do some further breakdown analysis. As you can see here I have some drill-ins that are already pre-built. All ways that you can be using the mobile scorecard as a way to make analysis easier at any time regardless of whether you’re in front of your laptop or not. We’ve covered some really awesome features here today spanning efficient analysis, customer journeys and overall data democratization. I encourage you to start integrating these into your day-to-day work, into your Analysis Workspace tool belt but I don’t want you to just stop there. Evangelize your learnings to the rest of your organization, to stakeholders across various teams to ultimately drive a data-driven culture to empower those stakeholders to make better business decisions. Now I see some great questions coming in and I’m really excited to begin tackling these in our Q&A. All right everyone let’s welcome Christos to the virtual stage. Hello Christos! You gave us more tools than our local hardware store. That is accurate. More than maybe some of you may have asked for but hopefully that was helpful. Awesome. Before we get to our first question, if you’re having a hard time seeing the chat function, it’s to the right of our screen. Maybe if you could please refresh the feed that should help it pop right up for you. Let us know in chat if that’s working out for you. Awesome. Okay, on to the first question because there was a lot of great ones coming in. The first question is asking for your best flow analysis takeout. How best can flow analysis be used to understand customer pathing journey? Who has a good one? Yeah, so we talked a little bit about flow analysis, interdimensional flows as well as kind of the traditional page version of pathing. I think we’ve talked about a couple of those use cases. Things stemming to a major milestone or immediately following a major milestone. Those are such critical parts of any experience analytics to understand. I also didn’t really mention much around the filtering capabilities of an interdimensional flow. If you would like to exclude anything from a flow diagram, you can do that as well. There’s a couple other really kind of nuanced capabilities there within a flow, including that right click option that just kind of takes that original traditional flow to the next level. Then once you start layering on multiple data sources and things outside of the traditional web only version of Adobe Analytics, it really kind of amplifies all of the capabilities of the flow. So I highly encourage you to check out Experience League as a way to learn a little bit more about that. Awesome. Well, we’re going to kind of do a blast from the past here a little bit because someone says that we still have users leveraging reports and analytics. So we want to know what features from there will be included into Workspace. Yeah. So we talked about one of them, the page summary panel. That is something if you’re familiar with reports, that’s already in Workspace. And then the previous and next item is another one I like to call out. That’s a handy little feature as well. That we didn’t get a chance to talk about, but really find that to be another one of those things, just kind of keep it in your back pocket when you want to understand what the next item is in an individual’s flow. So those are a couple. I will put out the comment that reports and analytics isn’t going to be here forever. So we’re expecting to do Sunset reports and analytics at the end of 2023, I believe. So we’ll keep that in mind as you mature your usage and adoption of Analysis Workspace. Awesome. Very cool. 2023. Oh, my goodness. Closer probably than we think. So this person, loving all the stuff that you’ve talked about in Workspace, and it’s kind of just more general, so open-ended to you about are there other ways to customize the look and feel of a Workspace project? Great question. Great question. So, yeah, I mean, I think that is maybe an overlooked capability actually of the project info and settings. So if you can actually import some of your desired color palettes into Workspace, that can be done there. I know there’s a dark mode, too. I don’t think I was demoing the dark mode, but that is a newer capability, kind of makes the experience a little bit easier on the eyes. I think it actually replicates for those out there that are familiar with Discover and Ad Hoc Analysis. That was like a black dark screen, and I feel like I’ve spent many nights staring into the abyss of data in Ad Hoc Analysis, but you can do all that in Analysis Workspace. So yeah, using those capabilities to customize. Also, if you’re sending something off to maybe an external team and you want to include some branding or even a logo or other components like that, you can leverage the text box to incorporate an image or something that kind of really makes that final product for the recipient something that is familiar and in line with the brand. Yeah. Now, I’ve had a lot of fun with the color palettes because then you can either match your brand color schema like you’ve talked about, or if you’re doing like a fun report for like a specific holiday, you can match your colors. I like it. I like it. Thanks. All right. Let’s see. Oh, this one is a really, really good one. What strategies have you seen work well when empowering colleagues to utilize Analytics Workspace? Yeah. Oh, man. I’m ready to take some notes on this one. Yeah. That is a lot about what this session, what it’s really all about. It starts with you as the analyst and your comfort and ability to not only do the analysis, but also act as the evangelist to the larger organization. I know for one, we would set up regular lunch and learns and with anyone interested, an office hours of sorts of how to tackle and answer business questions from stakeholders across the organization. That seemed to be a really helpful way. Let the guard down and come with all of your questions. That’s a great way and more of an organizational shift and really putting the effort out there to make the access of Adobe Analytics accessible. Even within the tool itself, the tool is really designed to make ease of access a priority. There’s all sorts of sharing and curation things that we’ve talked about, curating your projects, the various methods of sharing, whether that’s sharing via a link or actually sharing to a particular user. Then, of course, our mobile app is a way to really break down that barrier. Maybe back to that first person that’s still using reports. I think there’s definitely some people that are used to that. Like I said, we’re expecting an eventual sunset of that. Making sure that you’re really investing the time with your stakeholders and alleviating some of those day-to-day asks that you’re getting. Maybe they can potentially answer those questions themselves. Definitely. If they start using the mobile scorecard, then they’re doing one of the three things that Brett challenged us with at the beginning of this webinar. That mobile scorecard is, every time I’ve shown it to someone, they’ve loved it. It’s a good way to get your boss to smile during your one-on-one. Yeah, for sure. In talking about the mobile scorecards, there’s a question here about annotations. Are annotations available in the mobile app? Yes, they are. There’s been a lot of effort from the product team to bring a lot of the features that you’re familiar with in Workspace into the mobile app, including some really great visualizations as of, I think, last year. Not only annotations can you take a look at, but you’re also able to visualize. I think they have the donut capability as well as some other really handy visualizations in the mobile app. The answer to that is yes. Good question. Awesome. Love it. All right. Let’s see. There’s a couple of really killer ones here. Here we go. Here’s the next one. I am interested in measuring customer loyalty or engagement over time and studying the trends and causes for increases and decreases. For example, we’re growing our users with more visits per year. I think it’s more around the customer loyalty and engagement over time and understanding maybe some trends and causes. Yeah. Good question. I think my immediate reaction to that question is familiarizing yourself with another tool we didn’t talk about today, but cohort analysis and cohort tables. Cohort tables are an extremely powerful feature for understanding loyalty as well. In the example I think you mentioned around engagement, you have the ability to do a lot of really interesting use cases with cohort analysis as well as if you’re in cohort analysis and you’re running basic cohort analysis, I’ll mention that you’re able to really kind of complexify that and even layer on some dimensions in cohort analysis. Instead of just looking at time, you can look at dimensions. There’s a lot of really great features and capabilities in a cohort analysis table and ways that you can, I think, customize that to your business need. It’s a flexible feature. Depending on what it is, what your date ranges are, if you’re interested in seeing things across weeks or months, that’s a fantastic way to do that. I agree. The nice thing with your cohort tables, too, is like you mentioned, you can use any dimension. It doesn’t have to be the time as your dimension. We pulled in an E bar before of content type so you can see how your content type is interacting and making people come back because they have to read some more of that specific type of content. Yeah. Lots of power there. Yeah. Definitely. Yeah. I feel like I’ve hit you with quite a few really hard questions. I’m going to serve up a fun one for you. What is your favorite feature in Analysis Workspace? Oh, man. Maybe this is the hardest one because you’ve got to pick one. It is hard. It is hard. I feel like that’s not a fair question. I feel like my default these days, I just compare it to what would I have wished I had when I was running regular reports and the go-to person for analysis. I think my default is probably the mobile dashboards, the mobile app. I have flashbacks, I think, of being in a cab or on a train with my laptop and a mobile hotspot trying to pull a report and an ask from somebody that needed it yesterday. Being able to just do that on your phone, I think, it makes me wish I could use that in my day-to-day these days. That would probably be my first favorite. I think I’m going to steal this from Eric, but Eric Matasoff, product evangelist, is always talking about right-clicking and right-clicking anywhere and really getting a lot of features. Check out right-clicks and all the fun that comes with it. Those are my two. I guess I answered two. I love it. Yeah, it’s okay. We’ll let you have two. All right. We have time for maybe two more questions. I’ll give you one kind of difficult and then I’ll back off. All right. Here’s the big one. A slicer option in Workspace would be a blessing to create more intuitive and user-friendly dashboards. Currently, the only thing which is available is just the use of the drop-downs. Any plans for something like that? Okay. If I’m interpreting slicer option correctly, I think I know what that is and what the ask here would be is to be able to potentially select multiple dimension items in a drop-down. This is actually something we’ve heard before and I definitely see the use case for this and I encourage everyone with ideas around the product and ways to improve it and help you achieve use cases to submit those and put them into experience league and the forums there and vote on them. That is how we kind of influenced the direction of the product. That is a great feature request and the ability to combine two dimension items or three instead of just having to select one. I guess a work around would be to create a segment that encompasses two dimension items. That can be a little cumbersome. That’s a great comment and good question. Awesome. Now, I won’t actually answer this last one because we are down to the very last point but we were wondering if those were the real names or did you change the names to protect the guilty in your presentation? They’re all real life examples. Yes, indeed. They were changed names. They’re all safe. Too fat. Thank you so much, Christos. Thank you so much, Sarah.