[Music] [Trevor Paulsen] You guys ready? All right. That's what I'm talking about. Welcome to CJA Tips and Tricks Summit 2025. Man, I'm excited to be here. You excited to be here? All right. This session's going to be crazy, you guys. This is going to be fun. Okay? We got video games. We got prizes. You see this? You see this? If you do very good, you will walk away with one of these.
We also have $50 gift cards, and you're going to see how to win these too. But more than that, I want you to be aware that there are a lot of prizes on the side over here. We're going to tell you how to get those at the end of the session. Don't leave without taking some stuff. And we're not going to really enforce the points. So if you take a little extra, whatever.
Anyway, Russ Whitchurch with me has decided to help me with the session this year. I'll just introduce ourselves. I'm Trevor Paulsen, Director of Product Management for Customer Journey Analytics. And Russ is amazing. I'm going to introduce you because I don't think you would do yourself justice. [Russell Whitchurch] By all means. He's an amazing Principal Doc Writer for the team. If you ever go on Measure Slack, very prominent knowledge expert there. And he plays and builds video games in his free time. And he helped with the session immensely in that way today. Just to let you guys in on a little secret here.
I just had the great opportunity to spend a little while building these video games for you, and I can officially call myself a professional game developer. If you see major gaps in our documentation, you now know why.
Okay, so I want to get a raise of hands really quick.
Who has CJA at their company already? Okay, a lot. Who does not have CJA? Okay. Cool. Well, thanks for coming. You guys are awesome to come check it out and see what's up. I thought it'd be helpful to give you just a five second overview of what CJA is and why it's awesome before we jump into the tips. So CJA is a next generation application built on top of the Adobe Experience Platform. It does everything I wish an analytics system would do. So it basically allows you to take data in from many different sources, tie them together in the Adobe Experience Platform, reconcile your user identities into something that makes sense for your company, pulls that data into the CJA product, and lets you do all sorts of amazing stuff with that data that you couldn't do before. Unlimited metrics and dimensions, no more unique succeeded. You can create and define and modify the data at will at query time. Retroactive, nondestructive modifications to the data. And then you can access it in any number of places. We have Analysis Workspace, which you probably already know and love. But we have other ways of accessing the data too, like guided analysis, our BI Extension, Report Builder, and our executive focused mobile app. So that's a five-second flyby of why you should check out CJA when you leave the session today. If your company doesn't already have it.
So let me tell you about how this session's going to work. Okay? We have four sections of tips. - Okay? - They're great tips. Russ and I compiled them ourselves. From all of our favorite tips that we hear throughout the year.
We're going to give you 3 tips in each section for a total of 12 tips. Got it? After we're done giving you three tips, we are then going to play a video game related to those tips. And you're going to do that on your phone. So I want you to take your phone out and turn it off of silent mode. This is the only session you're going to be in where we tell you to put your phone on loud. Okay? Because it's going to be fun. And just really crank it up. We want to hear everybody's devices. Like, everyone.
When we get into it, what I'm going to do is I'm going to flip over to something that's a leaderboard here. You can use the QR code, this will come back. The QR code is going to take you to the games, okay. So make sure to open that up, and as you play the games it's going to show up on the leaderboard. If you happen to get the top score in any one of our games, we are going to give you $50. Okay. If you get the top score across all of the games, we're going to give you an Adobe branded Nintendo Switch. Okay? That you can take home with you when you leave.
Well, you guys ready? Come on. You ready? Yeah! All right. Let's do this. So our first section is breaking out of data limits. So we're going to go over some really cool tips that help you get past some of those dang data limits. Absolutely. So let's start off with Summary Data Sources. Summary Data Sources are an amazing new capability that we've added recently to CJA, and they help you answer important questions that your organization may have. Like, "Can I report on our marketing campaign costs?" Or, "How do I calculate our return on ad spend?" A lot of people also ask me things like, "Can we measure progress toward a corporate goal?" Or, "Can we bring in social performance metrics?" So Summary Data Sources work by using a special schema. Now I'm going to blow through this pretty quick. Don't worry. You're going to get this as a takeaway at the end. So if it's going really fast, don't worry. You'll create a dataset with a special schema, a Summary Dataset Schema. And when I go into the connections editor that you can see here, you'll see it show up as a Summary Data Source. Now I'm going to select that. A Summary Data Source has special attributes, so it has a granularity associated with it. It has a time zone associated with it. And when I bring that into CJA, you'll see it appear as a folder among the dataset types. When I click on that folder or pull data elements in from it, you'll see that there's this setting down below that allows me to then associate it. So in this case, I need to associate our campaign code in our event data with a tracking code in our summary data. And when I make that association, I can now pull in metrics that were generated from my event data and my summary data side by side. So I can see things like return on ad spend, or I can create calculated metrics from those things. So I can see revenue per click, or any of the other impression metrics. And it works just like you would normally see in Analysis Workspace. So here I'm adding in some formatting and doing a little sort. It's amazing use case for people who want to bring in those sorts of performance metrics into CJA.
One of my other favorite aspects of this tip though, is that it allows you to do other stuff too. So you can bring in corporate performance goals, put those in, and then you can see how you're tracking against those goals, like I'm showing here. Or social performance metrics, likes, clicks, whatever those kids use these days on the internet with TikTok and stuff. You can bring that into CJA and measure it and see how it's performing.
All right. Next up is Product Usage Data. This is a feature that we introduced a couple months ago, and I'd like to share with you a scenario that a lot of people here are quite familiar with. You're a Product Admin, and you're interested in learning about how your organization uses Customer Journey Analytics. But you can't exactly implement CJA inside of CJA. We've gone ahead and done that for you. Product Usage answers questions like, how many people are using CJA? What are our most popular projects? What metrics and dimensions are most used inside your organization? Is your adoption of CJA growing? Or which users are using it the most? So you can give them a little sticker at the end of the day. Nice. - We'll give you a sticker. - All right. Let's go into tools and product usage. In here, after signing a disclaimer, you basically get to pick your sandbox and the data retention period. So if you don't want to keep the data forever, then you can select that.
If you have anyone in your org who wants to opt out, then you can figure that as well. So in here, we can go into workspace and build a simple project of some of the things you can track, like project name, change the metrics to sessions and people, and can instantly see what the most popular workspace projects are in our org. Looks like we have a popular project with a nondescript name. We can do a breakdown by user and see who's using it. We've also got the most used components shown here or the most active users. Combining all of these dimensions and metrics, we can create an entire dashboard on how your org uses Customer Journey Analytics at a glance, giving you the exact insight that you've been hoping to get all of these years. And the only setup is enabling it, and the only cost tied to data brought in the platform.
Nice. Love that one. I can't tell you how many times people have asked me for that feature. I'm so glad we have it. Yeah. Yeah. We use it all of the time at our company too.
Okay. Cool. OK. So this is the third tip for this section. Shared Metrics and Dimensions. So I get asked this one probably as much as anything else about CJA. And while it's not released yet, we're releasing it in just a few weeks. So I included it as a tip. So when you go home, you can use it. Shared Metrics and Dimensions are something that allow you to help do things like create metrics and dimensions that can be used across multiple data views. Chances are you have a big company and lots of people using different data views. You don't like to set those things up multiple times. Super annoying. This is a great way to let you solve that. You can also-- If you need to-- You don't have to recreate them. Right? Or if you change a setting, you can then have that cascade into all of the different data views. Here's how it's going to work. So you'll go into the Data Views menu. We're going to add this new option, shared metrics and dimensions. And essentially, I can click an Import button that's going to say, "Okay, here's the data views you've got, which one do you want to pick from?" And I'm going to select-- I think a search term is one that I'll pick here, and add it to my shared component library. When I add it in, I can pick any number of shared components and share those out to any number of data views that are sharing that connection. So when I add them in, they automatically get added into that data view. So if I go into a different data view, and then I search for that component that I had before, you'll see we add this new little icon on there. It's like a little book with a bookmark on it. That shows you that it's a shared component, and if you edit it, it will actually edit it for everyone, or you can lock it down. You know, I saw-- I was not sure if you were excited or terrified by that. So yeah. It's really, really amazing. So we're really thrilled to have this. And we think it's going to be a major administrative benefit for everyone that's trying to use CJA at a big company. Absolutely. When we're talking about organizations that use dozens or even hundreds of data views, managing the settings for each individual one, is right now-- - It's not. - Yeah-- With shared dimensions and metrics, all of that pain is gone. Yep. All right. For our next section, we're going to do Running with Derived Fields. We got some amazing tips with derived fields this year. So we're going to help you learn how to do-- If you don't know what derived fields are, they basically let you do on the Fly, hit Retroactive Data Manipulation. Super, super amazing stuff, and we're going to show you just how amazing that is. Derived fields are actually powerful enough that we have dedicated an entire section just to them. Yep. Okay. I'm going to go through this first one here. This one is called a User State Change Metric. So sometimes people ask me, "Hey, can I create a metric for when someone moves from silver to gold? I want a metric of that transition." Or, "With that metric, I want to then attribute it to marketing channels. So which marketing channels are getting our users to upgrade a level?" Or, "Can I create a segment of users that went from one state to another?" Well, with this derived field tip, I'm going to show you how you can do just that. So we'll open up the derived field builder and we're going to use the next and previous function. It's one of my new favorite functions. And what I'm going to do is I'm going to select a page name here as my example. So what we're going to do is we're going to say, "Give me the previous page name," and then I'm going to add in the concatenate function. And I'm going to concatenate the previous value with the current value. That gives me a little light path. I can see people that went from one thing to the other.
Then what I'm going to do is I'm going to add in an "if else," and when I add in that "if else" I'm going to select just one of those paths that I care about, in this case it could be silver to gold, or some other path. And if I see that I'm going to set it to one. I'm going to return the value one. Otherwise I'll return blank. Now when I do that it essentially gives me a metric that I can then use anywhere in CJA. I can stick it in a calculated metric or in a freeform table like you see here. So I'll drag in my marketing channels dimension and I'll pull in the state change metric that I just created. And you'll see that if I go to the tools, I can even do like attribution models on this metric because it was built in derived fields, you're not really constrained by any limits that you would normally have with calculated metrics. So really, really powerful way to measure whether people are upgrading from one thing to the next.
All right. Next up, Derived Metrics. Now one of the biggest limitations of calculated metrics in Adobe Analytics is that they can't be used everywhere that standard metrics can. For example, you can't include a calculated metric inside a segment.
Guess what? Using derived fields, you can. Want to add it to a segment? Sure. Want to add it to an experiment? Go right ahead. Histogram or fallout? CJA treats derived metrics and standard metrics exactly the same. So you can use them anywhere that you'd like.
So here in the derived fields, we would grab the math function. We'll put in price total minus amount refunded, name it total revenue.
Once we do that, we can head on over to workspace. And when we save this calculated metric here...
We'll open the Experimentation panel.
From here, we'll select one of the experiments that I'm running right now and then select my derived metric, which is something that you normally can't do with a calculated metric. And tada. Get results as if it was a standard metric. Results are inconclusive, Russ. Well...
I guess that we'll just have to leave it up to the analysts then. - Is it? - How about a fallout report? - What was that? - Nothing. - Okay. - I'm just messing with you. All right. How about a fallout report? Add a few touch points, and then drag my derived metric over. Works exactly as expected.
So this is cool because it used to take a calculated metric to do revenue minus returns, and then you couldn't use that in anything. So if you wanted to do an experiment that incorporated your returns in there, it sucks because you couldn't do it. But now with the derived metric, you totally can. Yep. And it's amazing. Give the math function and derived fields a shot, and you can use them wherever you want. Awesome. Amazing tip. By the way, is my hat really distracting? I can turn this off if it's bothering you. I don't see it, so. Okay. Just if you do, let me know. Okay. So for our third tip in the derived field section, we're going to talk about Pathing Dimensions. If you are an Adobe Analytics hardcore user, you might remember something called the Pathing Dimensions in Adobe Analytics. - Or Full Paths. - Thank you. The Full Paths Report. Russ is hardcore. So one of the things that that report would let you answer things like, "How do I see the most common paths that users take in a freeform table?" Or, "Can I see which paths result in some of my critical metrics that I have?" Or, "Can I create a segment of users that took a specific path, without having to do some crazy sequential segment of some kind?" With this tip you totally can. So I'm going to do this one really fast because there's quite a bit of steps in here, and don't worry, you're going to get this video to take home when you leave. But we're going to use the next or previous function several times. So by using the next and previous function, I'm going to essentially string together multiple of these values at once.
I'll go back three or four values, and then do an extra previous of each of those subsequent values. Here I'm doing that with the page name, so I can see the pages that people have passed through in their session that they had. Then what I'm going to do is I'm going to do a concatenate, and a little sub tip, did you know you can use emojis in derived fields? Pretty cool. So putting an emoji in there, I can then-- When I finally finish the rule, you can see the emoji in the preview there. Pretty cool. Right? And when I do the page path report, I now got my emoji loaded page path report. Pretty slick? I think they actually like the emoji tip more than the pathing tip. Okay. This is now the emoji tip. It's not a derived field at all. It's just emojis.
No. Yeah. It's a little double tip for you there. Cool. So sometimes a lot of the challenge of using CJA lies in knowing how to get it set up correctly. In this section, we're going to show you how to leapfrog your CJA setup and get past confusing blockers that sometimes trip people up.
So to start out, the CJA upgrade guide, if you haven't already heard about it during Summit, you are going to hear a lot about it. It's something that we just released a few weeks ago and I have a special place in my heart in regards to this tool because I helped make it. So if you're not fully yet on Customer Journey Analytics, we now have a tool that tailors an upgrade path specifically to your organization.
It answers questions like, "Where do I even start with CJA?" "What if my organization has an analytics implementation already?" Or, "How can I coordinate the move to CJA across my organization?" Ultimately, our goal is to get you where you want to be whether that's using both CJA and analytics simultaneously or using CJA exclusively. The upgrade path accommodates both.
So here inside CJA, you just click on the left menu for upgrade to Customer Journey Analytics. We have an overview of how the upgrade guide works. And at the bottom is a list of steps that you can follow to fully onboard to CJA. To tailor this guide to your organization, answer each question in each tab.
So here we've got-- We want historical data, components, data warehouse, clicking next to some of the features that we want to capitalize in CJA like tying data with other channels, and ask a couple questions on how you want your implementation in CJA setup. So whether you want to use an analytics schema or if you want to use a CJA schema. Once you've filled all of these out, we now have a list of upgrade steps that we can follow and share with others in our organization. There's a download to CSV option or a copy link option if you want to share that and coordinate the upgrade with other users and teams in your org. Each step provides a complete description of what it entails, the estimated amount of time it will take, and a link to documentation for more info. It even has a link directly to the place in the UI and platform that you can go to perform that specific step. And this is available right now. So give it a shot. I love that tip. I get asked that question so many times, and I love helping people figure that out. And everybody's implementation is going to be different, and-- - Right. This is perfectly tailored. - It's really hard to answer the question. - Yeah, exactly. - But with the upgrade guide. - Yeah. - Love it. You guys did a great job on that. Okay. For the next tip, we're going to talk about Smarter Bot Filtering. So oftentimes like we do have some bot filtering in CJA if you deploy the web SDK or if you use Adobe Analytics. But some folks are always like, "Hey, is there a way that I can do this in a smarter way?" And/or, "We might have data distiller at our company, can we use SQL somehow to come up with a smarter way to do bots?" Or another thing I get asked all of the time is people say, "I have this really complicated bot segment, and it slows down all my reports like a ton. Is there some way I can do this in a simpler way that won't bog our reporting speed down?" well, this tip's a little technical, and don't worry, again, you're going to get this afterwards, so if you'd missed the QR code or whatever it's totally fine. This QR code is how to get to the SQL I'm running here, But this SQL statement can be run in query service in the Adobe Experience platform, and it will not only incorporate the IAB bot list and the other out of the box bot detection stuff we have, but it also will use some advanced statistics to identify bots. Looking at the frequency of events that we receive, or also looking at the predictability of the timing of those events. Bots often leave telltale traces, statistical traces that can be picked up. So that query service query which don't worry we're giving you at the end of the session, you can use that to help you identify those and by putting the result of that query into a data set, you can then add that data set as a profile data set into CJA. That profile data set will now contain all of the identities of the bots that you identified, and by adding it into a report, so here I'll just open up just a normal page type, page name report, and if I grab that bot segment I can look at all of the traffic that was generated by the bot, or the various bots, or I can use an exclude and plop that even on top of my data view if I want to have it just always apply. The great thing about it is because it's a profile data set, it runs super-fast. So it's a very simple segment that doesn't add a lot of overhead, and is even more effective than what you might normally do with a segment in CJA. So love that tip. One of the things that, I remember you telling me about was that if hits are spaced too evenly, it flags them as a bot. Yeah. That's right. Yeah. Exactly. If it's very predictable, like every 30 minutes or every 60 seconds there's a hit, you know it's a bot. So that SQL query will pick that up using some statistics that are built into data distiller. Very cool. All right. Next up is our AI Assistant. Now as a Doc Writer, this one it's hits home for me, because it is what I anticipate is going to be the next gen of getting questions answered. If you are looking for a specific document but you don't exactly know what to search for, AI Assistant is there to help you out. So if you want to find a relevant document to a question you have, if the entire last section on derived fields went completely over your head, then you can ask it what a derived field is and it will give you an answer. Or if you want to understand how to set up CJA like a connection, all of these things can be answered by the AI Assistant. This also applies to all of platform as well. So anywhere in platform, including CJA, just click the AI Assistant, ask your question, and you'll get a response. Now the best part about this is that not only does it give you a response, but it also gives you its sources. It cites its sources. So you can click on the links to those and go directly to the experience link pages where it provided or it gained that information from. I love that because sometimes there's a lot of docs out there and sometimes they're related and sometimes can be hard to know if I'm in the right doc or not, so having it automatically provide docs for me and the right link is awesome. Absolutely.
All right. For this next section, we're going to talk about Data Viz Invaders. So in this last section, we're going to talk about some amazing visualization capabilities in CJA that lets you do all sorts of really cool stuff. So you don't have to worry about getting stumped by different visualizations.
So let's start with the Journey Canvas. Journey Canvas is my new favorite visualization in CJA. People often ask me, "I have complex multi-step funnels. How do I visualize that?" Or, "Can I see how specific journeys are impacting specific metrics?" Or, "I just want to analyze specific key steps in the journey, and I don't need other superfluous things that I might see if I did a flow report." Well, the Journey Canvas is like the flow report and the fallout report had a beautiful baby or something. It's amazing. It lets you do both. So basically what you do is you can drag in any dimension item into this canvas, and by dragging and dropping these around in the canvas, and we give you infinite space to put things in, you can construct the funnel of your choice. And basically what you do is you wire one up to the next so that we know you're looking for someone who went from point A to point B to point C. And if you do that enough, you can create multi-step branching funnels, and by adding things in you can really dive deep.
I wanted to show you that you could even do a breakdown. So if you drag a dimension onto a metric in the funnel, you can get a breakdown of the most popular products for example. I can come in after the fact and add in other steps. The whole flow will recalculate automatically for me after I've added that in. It's pretty smart and knows how to do that, or even if I add-- I can drag in multiple things at once. You can see that here, and by then connect all three of those up, and the canvas automatically will show all of the cascading steps and percentages and everything for you. It's pretty amazing. I think this is the most popular visualization we've ever released. - I think you're right. - Certainly in CJA. A lot of people love it and use it all of the time. So if you haven't already used it, highly recommend you go home and use it, or go to your-- Sorry, not home. You can use it at home if you want, I guess. But when you go to your office, you should definitely use it.
I guess if you work from home, I'm getting myself all confused here. - Hey. - Don't worry about it. - I like working from home sometimes. - All right. Next up. Guided Analysis. Now these have been around for a little while, but only recently have we made these available to all customers. And I really, honestly, I think these are criminally underused for the value that they provide. Originally, they required an add-on to use these, but you can access them all today. They provide a slightly modified layout that might be more familiar to newer users of product analytics. They provide a more guided approach to analytics. Additionally, some of these reports provide great value and are a pain to recreate inside of workspace. So when we're talking about time saving, definitely give these a shot.
So in workspace, when you create a project, instead of creating a workspace project, select one of the guided analysis templates here. Let's select a release impact analysis, which lets you see how a component changed before and after a given date. For example, we can compare the number of AI assistant queries that happened before and after our January release. Let's look at another analysis type, active growth. It shows how my product or site retains users over time. Here we see it by month, but you can break it down by other time dimensions like by day if you'd like.
One awesome thing about these is that you can also use them as visualizations or panels inside a workspace project. This one is a timeline analysis. It lets you analyze individual people to determine what trends they follow and offers valuable insight on how to directly improve the experience of a focused group of individuals. Now we only went through three guided analysis types in this tip. There are a total of 11 of them, and all of them are super valuable. So I highly encourage you to check them out and try one or all of them and see what insights they offer. You know, Russ, one of the things I really love about guided analysis is that they allow-- They're like a really great entry point for folks who may not be super familiar with Analysis Workspace, or they're super like use case oriented like that growth one. That would be really hard to actually recreate an Analysis Workspace, so. - That's right. - Yeah. - It's-- Yeah. - It's pain. So it's awesome. I love that it gives you this quick jumping into point, especially for newer users. Absolutely. Okay. For this next tip, I'm actually going to give you a little sneak peek into what we call Content Analytics. You might have seen this on main stage today if you're watching. Content Analytics is a net new offering that we're going to offer pretty soon. I think it's like in a couple of weeks we're releasing it, and it lets you do the answer things like, "Which creative assets are the best performing on my site?" Or, "What attributes of our assets are most compelling for our users?" Or, "Can I like automatically group images that are really the same image but they appear in different places and they have different sizes and stuff?" Content Analytics is an amazing new addition to the CJA family that lets you do just that. So here I've got images used on adobestore.com, and when I drag those assets into the freeform table I can actually see the image in the table which is really nice. I can then add any metric that I want to see how those images are influencing downstream conversions, or whatever I'm measuring. Right? Really cool, and this is super, super helpful for creative teams to see how well their imagery that they're creating is working. One of my other favorite things is that we actually use AI behind the scenes to analyze all of the images brought in and look at the different attributes that they have. Those attributes are then brought into CJA automatically. So here you can see I did a little breakdown of the color black by the various assets, and I can see here's all of the clothes that you can buy in Adobe Store that are the color black. You can do all sorts of amazing stuff. So you can look at the performance of these assets, you can look at the conversion rate that they drive, you can look at clicks versus performance. Just all of the really cool stuff that you're used to in Analysis Workspace with all this extra rich data around the content and the assets that your team is using. So something really cool to look into. Not available yet, but coming very soon. Soon TM. No CJA tips and tricks session would be complete without talking about some roadmap. - Excellent. - What do you say, Russ? I think that's a great idea. Let's dive right in. So starting to run out of time, so I will quick-fire these. Side-by-Side Dimensions. Instead of forcing you to use breakdowns, you can drag multiple dimensions side-by-side and use that layout instead. And that is coming in just a few months.
Real-Time Panel. Similar to real-time functionality in Adobe Analytics, this feature is coming to CJA in August. As soon as the data is available in platform, you can see it in CJA as well.
And then, CJA B2B, our new analysis options for B2B marketing teams. This lets you report on sales funnel dimensions and metrics coming in June. Awesome. So next roadmap item we call CJA Warehouse Mirror. So sometimes people ask us all of the time, "We want to use our warehouse as our source of truth, and we just wish CJA would inherit that. So if we delete stuff from a data set or a table in our warehouse, can that get deleted in CJ automatically?" Well, that's CJ Warehouse Mirror. So we're super excited for that one. That one's planning to come in September. We're planning on making it work with Snowflake, Databricks, and BigQuery. So if you use those things, look forward to this.
We also have, and you saw this on main stage today, the AI assistant now called an agent, the Data Analysis Agent in CJA. This essentially will use AI to help you build reports, build out visualizations, and guide you into the right things that you should look at. Really amplifying your efforts and making it easier for you if you don't know where to start or you just have a question that you want to ask the agent.
And then finally, I think this one's my favorite one, and this is the one I probably get asked about the very most, is Next-Generation Data Feeds from CJA. So one of the things that we get asked all of the time is, we have Adobe Analytics, one of the things our company uses the most is data feeds. And we love them because they have all this like sessionized process data in them. Can we get something like that in CJA? Well, we didn't want to just reproduce that and make you collect a bunch of files, so we're looking at doing this using modern warehousing data sharing technologies, and we're super excited to be working on this. So this will be a whole new thing that we're working on and don't have a date for you yet on it, but it is something that we are prioritizing very highly. We're actively working on it and we are looking forward to sharing it with you guys. If you want additional resources, just use the app you have. If you already have that open, we'll put a link right in the app for you and that will give you a summary with videos of every single tip and link to the documentation of every single tip that we shared with you today. So you can take that home with you. Where it shows your score, there is now a link immediately underneath that will take you to this exact same page. Yep. So make sure-- Yeah. Definitely do that. I'm going to pause for just a second to make sure everyone's got it. We want you to take the tips away home with you. Take the session survey, let everybody know how horrible this session was for you. Or if you like video games, how good it was. We did not have enough time for questions today, but we knew that would happen, so we have an AMA session at the Community Pavilion at 5:40pm later today, if you have questions that you want to come and ask us about CJA, we will gladly answer them there. So that's just again in the Community Pavilion at the Innovation Theater. You can actually see it in the Summit Sessions list. Okay? Also, our social handles are on there, if you want to talk to us on social media. We're on Bluesky, LinkedIn, and Measure Slack. And before you leave, make sure you get some swag. It's just like when I take my kids to the arcade, they get prizes, and that's their favorite thing. So take your points, exchange them for prizes. We will not police it. Take whatever you want.
Be sure to take some charms. - We have so many-- - There are charms. - There are pendants. - We have so many. There are shirts. It's amazing. Thank you so much!
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