Countdown to 2024 with the top 5 new features in Adobe Real-Time CDP

Hey, welcome, everybody. Oh, I already have problems there with my green screen right out of the gate. I hope everybody is doing great today. My name is Doug. I’m your host today for experience league live. Welcome. Welcome. Great to have everybody here today, and especially you guys who are live. Great to have you here today. Hope to get your questions answered by our experts today. We’re going to have a great show before we jump right in. And we have a lot to talk about today. But before we jump right in, I just want to point you here to experience league dot Adobe Stock. Com for all of your self-help needs. All right. For the Experience Cloud that’s where the documentation is. We got the free tutorials, free courses, we got the community and so everything you need right there on experience league dot adobe dot com. So welcome to the show today. We are going to have a great show today talking about real time clip. We’re going to go over the five most exciting awesome things that have been released in the last several months. So as we get closer here and jump right into 2024, we want to be able to show you how to use these great things. So we’ve got a lot to talk about today. So quit looking to me. And so let’s get the guests. And and first we have we have Nina Caruso’s bring in Nina. All right. There she is. And if I can do this, I will also bring in Rudy some perjury. Great. Welcome, guys. Great to have you on the show today. Welcome. Welcome. Thanks for let’s let’s let the people the people need to know the people need to know about you guys. So let’s take a minute or two and just have you guys introduce yourselves so they know, you know, that you know what you’re talking about. And I just didn’t drag it off the street, so. Yeah. Yeah. This is my sister and my uncle, my brother, my little brother. And they just wanted to be on the show now. So, Nina, tell us, you are, first of all, you are a manager of product management now. Product marketing. Yeah. Part of marketing. Excuse me. I’m sorry. For real time. CDP. Tell us what you do all day. So I am not Doug’s little sister, but I have been working full time for so long and have learned so much from him that sometimes it feels like I’m his little sister. But I’ve been. I’ve been working with Mom lately. Yeah, the way you called mom lately. And so. Yeah, so I’m sorry, but. I’ll call you later. I don’t think she’s. She’s on, but that maybe you never know. Yeah. Yeah, she. I know she’s passionate about Real-Time CDP, but I’ve been at Adobe and getting to work with Doug actually for the past ten years, and I started working on our services business, doing implementations, focused on customer data management solutions. And for the last five or so years, I’ve been part of our real time CDP business and got to launch it as part of what I do and product marketing around marketing our products, creating a narrative and a strategy. And part of what I absolutely love doing at Adobe is getting to speak and educate, educate our customers. So that’s a lot of my focus and what I do and not just product marketing. Besides moonlighting as a sister. Yeah. I love the time with you included a fun fact about us. Do we get to talk about that? Oh yes, I will get to that. I’m coming back to that. That’s also Rudy. Yeah, hold that. Hold that for a minute. And Rudy, you are a senior and evangelist, is that right? That’s correct. And you’re going to preach some real time CVP to us today. That is awesome. Wow. Tell us tell us what that entails. What do you what do you help people with? So I work with our customers both internally and externally, all about everything with data, governance, data ingestion into the platform, how to configure the data and set it up so that you can take advantage of all the cool features that platform offers, just like the five that we’re going to go through today. So I spend all my time working with the customers, helping them get their data configured and set up properly so they can take advantage of all the cool stuff that the teams have been building. Oh, that’s great. I’m excited to for you to show us how that all works and for Nina to kind of tell us why we’re using all these great things and good team, good team. So yeah, Nina, you mentioned the fun facts. If you guys didn’t catch them as I went through the little loop thing, as you’re coming into the show, I never knew this about, you know, after all these years. Nina, I did not know this about you. And now I’m going to expect some bakery items. But you said if you’re if you were not a product marketer, then you would open a bakery. I need to hear about that. What? How did that come about? Have you been baking your whole life? So I grew up You mentioned my mom earlier and I got this from her. My mom is a extremely talented baker. Not great at cooking. Sorry, Mom. She’s good at, like, microwaving things, but she’s amazing at baking. And I. And I got this from her, and then I really got into it over COVID, of course. Then we couldn’t really tell it. Yes. Super into making muffins, cookies. And this is my favorite time of year. I love baking for the holiday and I actually I’m fortunate to have two ovens in my kitchen. Okay. So that broke earlier this week. This is like the worst time. So my like, opening a bakery is not in the cards right now. Might my sign. Yeah. So if you are if you’re on you know beat Bobby Flay Bakery edition what would be your what would be your you know your go to that you would you would bake What’s the one. Every year for Christmas are gingerbread muffins and I make this like warm maple like icing that gets drizzled on top in every year. Oh nice. Awesome. I don’t know what we’re supposed to talk about now. I’m just thinking about it. Yeah. Gingerbread. Okay. Rudy Kosher, by the way. I love it. And we even had we even have, you know, somebody commenting about it on the chat, so that’s awesome. Really? But you guys are you guys. You guys have the Christmas spirit at your place. There’s a lot. Of you guys have a lot of trees. You got trees? Yes, we are. We’re in the artificial tree camp. Yeah. And part of the reason is because we have so many of them. There’s at least one and every room of the house. Yes. That doesn’t mean bathrooms to. Oh, they’re all themed to the fair. All I do is take them out of the attic and put them back up. My wife takes care of all the other. Okay. Decoration. But no, it’s great. We are. We have lots of trees, but they’re all themed, so it’s fun themed trees. Do you have a Grinch themed tree? No, no, that’s not one of them. You know, I’m a fan of the Grinch. Yeah. Yeah. Nice. You have. An example of a theme. For it. So it’s like a golden silver tree. There’s a tree that has a small tree that has all, like, our childhood ornaments that are just kind of special. And off to the side, there’s a tree of all the ornaments. My son made through preschool and all that kind of stuff. That’s super. Nice. And then one tree of all just photos, family photos and little small ornaments. So every ornament just refers, right? So. Well, that’s great, you guys. Thank you for introducing yourselves to our to our group today. Let’s dive right in. So we’re going to we have a lot to talk about. I mean, five things. And we know, you know, we’re going to take all day, so we’re going to go through these. We are going to talk about them. We’re going to show them and everything. So let’s get right in. And so, yes, our five our five most exciting in our opinion, our five most exciting releases. And basically in 2023, I’m going to say that as we as we get ready for the new year and fun things coming up. So I think, Nina, we’re going to have you start and we’re going to count down. So I’m really excited to actually even I don’t even really know what number one is, so I’m really excited about that. So so let’s start with number five and I feel like we should do that. David Letterman. KELLY Yeah, let’s get that going. Okay. All right. Number five on our countdown of top 20, 23 features is. Oh. Let’s go computed attributes. This is a hugely impactful feature. So let me tell you a little bit more about it. It allows you to aggregate event level data as specific values, so you can use functions like some or count. Add that to the profile and then it makes your life a lot easier as you get into segmentation, because now we have that aggregated event value to just add directly into the segment, you’re going to see this concept. I think almost throughout each and every feature that we are going to talk about today. But also what is helpful as part of computed attributes is that we have building customer trust baked into this process. So as part of computed attributes, you have labels and policies to make sure that you’re using a appropriate data. A data data sets that kind of comply with your own organization’s compliance needs. So that’s the high level of what computed attributes is allows you to aggregate event data makes your life easier when it comes to segmentation, Rudy may turn it over to you to show how this works in practice. Absolutely. So I’m going to show you not only you know where it is inside the tool, in case you haven’t poked around inside the interface until I’m logged in to Experience Platform and to get over to computed attributes, we’re going to go over underneath customer and profiles. And then most of the time it’ll paint here on the overview tab. I’ve already preselected the computed attributes and you can see some of the ones that I’ve already created here in this account. And so what we’ll do is let’s take a look at this one here, and this one is we’re doing a count of the number of purchases over the last month. And so like Nina was talking about, this is really cool because this is an aggregate total at the profile level. So it’s a profile attribute. It refreshes on the cadence that you set up and when you create the computed attribute. So it’s separate from anything that may be going on and audiences down the stream that this profile may be a part of. So it’s really cool that this is done at the profile level and these computed attributes are, you know, available on the edge. They’re not computed on the edge, but they are available on the edge for, for using this, you know. AJ Oh, and other things like that. So this one here we just had that question come through, in fact. So I’ll pick one up there from, from Scott, who, you know, is asking if it’s in a Journey Orchestration. But a Journey Optimizer, right? Journey Optimizer Yes. Yeah. Until like, yes. I’m like this computer out here now this it runs monthly. And you can see we got a quick preview down here of the different sample profiles that are created. And note that when you’re creating, when you’re looking at the computer, two attributes that jumped out when you publish it, it’ll run typically within the next 24 hours for that first time, and then it will start running on that cadence that you’ve set. You can see here some of these are set for daily, some of these are set for monthly. I see a lot of questions pop up from our customers of, Hey, how come it’s not refreshing quickly and they’ve set it up for a monthly refresh. You’re like, Well, you just got it. You got to check the cadence. But it’s very powerful because being able to aggregate these things as the profile data is coming in is really useful and being able to set it up so that downstream events can leverage this for either sending out different opportunities or offers that are pushed out makes us a really valuable tool. Yeah, I think I think one of the things that comes to mind excuse me if I can talk is it seems like it seems like this would be really good if you were, especially if you’re going to have something that might, you might want to be reusable, right, So that you can just instead of instead of trying to create something, you know, over and over again in in the in the segment builder right in the so you have the audience builder and you go in and create a segment. Is this is that one of the one of the things that one of the reasons why people would use this are just so makes your life easier with a kind of a reusable item there in different in different scenarios, maybe in audiences and also they do so Absolutely. I mean, the fact that it’s reusable certainly increases the value of it to our customers, but just being able to create attributes, these aggregate attributes that don’t natively exist as the profile data is coming in. And what I did here while you were talking is I clicked on one of those profiles when I was in the computer attributes. You. And so you can see that now that I’ve actually in a profile, there’s a computer out to read sections that will show me all the ones that have been created in this account. And as the values start populating, you’ll see this at the profile level of what these computed attributes are. So not only does it help with creating audiences downstream and different experiences, you can power through the rest of the app, but it just provides another level of rich detail inside of the profiles. Nice. We have another question from Paul. Hey, Paul. Hey, how are you doing? Poorly. So how about lifetime? Something like lifetime spend? Is that something that we can do for, you know, for consumer attributes here is kind of see the the the lifetime value kind of a thing. I, I don’t know, off the top of my head, to be completely honest. Have given an amount. Or I will not. But otherwise we can make sure we get that written down and add it to the show notes at the end. But I’m sorry, I don’t know the tone of. The follow. Up, but I mean, typically we would see events or pieces of information that come in in real time. So like you could think of it as like I had Did someone visit the website, did someone visit the website three times? Did they visit the mobile app five times? Lifetime spend is typically something that is captured like in more of an offline setting, usually in Sierra I mean is back would be batched in as part of a profile attribute. So I don’t think I don’t think relevant here but we can definitely do some some digging in. Hi Paul thanks for the good question. Thanks you guys. Yeah we do another one. We’ll see. We have Roberto, the possible to use aggregate attributes to store the latest card like product list items for reusing the. No, I don’t think that’s the intent of the computer attributes I think you could do maybe card abandons or things like that, but not as far as storing what was left over in the card. Yeah, we do have like other stuff that does that really well. Quite with how. Okay, that’s maybe more of a more gradual thing. And then one more. What types of behavior based segmentation can be enhanced by using computed attributes? I mean anything, right? I mean, any behavior, maybe I’m not going to send the question of behavior based segmentation. So I think it’s depend you know, if you’re sending the if you’re sending event level data to us, those are the types of things that can be aggregated. So a lot of it depends on what you initially set up in the schemas with Acxiom and the data that you’re sending in. So if you’re sending in all sorts of, you know, a variety of event level data, those are the things that we can create these computer attributes around. So a lot of it is, you know, very foundational to how you start thinking about ingesting data into platform. And you may if there’s items in there that you don’t you don’t have, you may have to look at expanding your schema and sending over additional data in order to create attributes for some of those things. But if it’s coming in through I mean, right here in the Navigator, when you create the computer attribute, these are things that you’re passing through through that schema or that you’ve defined in the schema. So if it’s not in here, that means that their data isn’t coming in for us to do the aggregation on. Now that right. That’s yeah, makes a lot of sense. Cool. I kind of cut you off. Did you want to show us anything else in there? No, that was it. Okay, let’s move back over to Nina real quick. I know that there’s still a couple of questions you guys. We will definitely make sure that we answer all of these on a I’ll put together a community post and you can come back to this site, this page, and there’ll be a link to the community posts. I’ll do that within the next 24 hours and then we’ll make sure that we answer all the questions there. But we do probably have to move on because we do have to get five, you know, four more things to do. So I apologize if your question doesn’t get answered today, but please send them in. You keep sending them. Okay? Yeah. So we’ll wrap up this feature and move on to the next. So just a quick recap what it is a much easier way for all of you to be able to aggregate behavioral data, things like a town to visit some of information. And it really makes your life easier in terms of being able to create segments, create audiences. The workflow in the past would have either been to use maybe a data science team who had the ability to run school career areas, to be able to do aggregation that then you would pass back into Real-Time CDP or Journey Optimizer, or you would have had to create a number of permutations of a segment to be able to get to some of the information that you were looking for, like creating, you know, 10 to 15 different segments that looked at different that was able to was tying together kind of different count of information of like activity that’s tied to purchases, makes your life a lot easier and hopefully streamlines that audience segmentation process. And then what do you need to be able to do this today to use this today? This is available to customers. And there was a good question already of this and what applications can you find this? You should be able to find it today in both Real-Time CDP and Journey Optimizer. Awesome. Thank you. Appreciate that, you guys. Okay, let’s get to our next one. Number four. Number four or. Before this is the. Gap. We’re going to. I got to move it. I had okay. Yeah, yeah, yeah. Audiences. This is really exciting. So we know that many of our customers is in Real-Time CDP either used or have used in the past. Audience Manager And we had something in there called Look alike Modeling, and this was a hugely popular feature and part of why we brought it in to Real-Time CDP is that it was so valuable. We wanted to be able to have it in our real time. CDP application to use across known and unknown data. Now and be able to kind of bring that workflow kind of forward into the future of data management. What this is, is it allows you to take a high value audience and model it against data sets of your choosing to find more of that valuable audience. Who doesn’t want to do that? Who doesn’t want to find more of their most valuable customers? So what this results in is the ability to expand that in a valuable audience that you care about by finding more people who look like they’re in that audience but aren’t yet. It also does a lot in terms of customer intelligence, of providing insights into the characteristics that make up your most valuable customers. Brody can show you in a minute some of the outputs that you’ll get when you see a model. And then again, I mentioned this is going to be everywhere, but it’s really foundational to to every feature that we build in real time. CDP is that that trust component of this is that there is usage and consent enforced that’s built into lookalike audiences to ensure that data is used in the right way for your company. All right. For enough of me. Just move it. Move it over to Rudy for a second. I love this one. This is it. This is number four. I’m excited about the next three. Just you wait. Absolutely. Now, this is a this is another great feature that was released this year. And so, again, we’re going to go into look alike audiences. So I’m going to go down here underneath customer and I’m going to take a quick into the audience pane here. And then there’s a couple of ways to kind of find lookalike audiences. If you are if you know that someone in your organization has already created some, something on the list can be quite long and you’re like, I don’t want to click through each one to figure out which one it is. Don’t forget about our handy dandy little filter over here where you can actually go and select lookalike audience to find those. But I’m going to take a look in here inside of this men’s category interest. And when you’re looking inside of audience after it goes and Louis is paying, you’ll see that this look alike insights was created here or or this option is available. And so I’m going to click on the look alike insight. And you can see here where it starts giving you this model here, the similarity in each chart where you can actually go. And if you slide along and hopefully our viewers can see this, that as I move down the scale here and you know, the audience is 7% similar. There’s 170 profiles that match with that. If we get down to 19% similar, there’s 54 profiles that are can match with that. And you can see as you’re sliding this profile, this slider along, how it gives you kind of a sneak peek of how big of an audience you’re going to able to create. This slider is similar to what you’d see when you go through and create a lookalike audience. But one of the things that I find really cool in this feature is down here, these top influential factors. And so what it means, what this is, these are the data points that are being passed along, passed into platform that have the highest level of importance that affect this model. So as you go down here, you can see that right now what the top thing here is, is Zoopla Zeppelin yoga pants right here. We’ve got these other yoga straps, other equipment, but it gives you not only the value that’s being passed along scores at for importance, it tells you whether this is an audience type or whether it’s an experience that gives you the exact field name or the key of where that data is coming in from. And as you scroll down, you’ll see that are also showing you some of the things that are of less important when it comes to creating this lookalike insight. So this is can be very helpful as you’re sitting there, you know, huddled up with your team and trying to figure out which data points are the most important or which ones you need to work on. This provides a nice scoring where it shows you that like, Hey, if you’re really focused on this profile attribute for this propensity score, well, as far as it relates to this lookalike audience, it’s fairly low and in importance. We’re versus some of these data points here that are a lot higher. So this is a great feature here where you can actually see that, you know, which data points are the most effective. Now let’s go and take a find an audience here that actually has a look alike audience already created. And I’m going to go back to the scanner. The little blue wheel’s going to spin for me. And let’s see if I’m going to use this one here. And if I go over to Lookalike Insights. The insights are currently unavailable, but I can see right here that this one already has that lookalike audience. So I’m going to click over and it gives you the when you’re inside the lookalike audience, it gives you the same data that you would see inside a standard audience view. So the same detail it does tell you right here which one was the base audience that this was based off of, also provides useful information like, Hey, you’ve created this lookalike audience, but you haven’t activated it any destination yet. So really powerful. What a lot of information here in the audience screens. Like I said, this one here is already marked that it’s a lookalike audience. And again, the other way that I could have gone and found that was to find opened up this lovely filter and it would have brought that right to the Yeah. So couple of different ways because otherwise, you know, it can get a little tiresome if you go into every audience and you’re looking at your time to see which ones have been created. So what are some of the features of the UI and other software? That’s not part of the main course today, but a super fast way to find which ones have already been created and to explore those. And Nina, I guess, yeah, let me say this question to your wrap up. That’s great, Rudy, Thank you for showing us. So you showed though, when when you go into an audience there, there is a button to go ahead and say, create a new lookalike audience, and then it’ll have that slider so you can choose, you know, the reach and yeah, you have a button there for. Right? So look like insights. Let’s go look. Like I’m taking you back in there and you got the creep on there, right? So you can just move it along there. Okay, so then it’s just a matter of the slider, right? Yeah. Choosing if I wanted to be, you know, 80, 90% similar, you’re going to have less people that that are that similar to your audience. So that’s right In this one maybe you kind of go to where the drop off is, right You go okay And that’s I want a pretty, pretty similar but I don’t want to go any higher than this or I won’t add anybody to my group. So. Exactly. Okay, cool. All right. I’m going to let’s go let’s go back to you, Nina, on this one, please. Here we go. And so the question that I’m going to bring up and maybe it’s here also that was brought up is, you know, what are the limitations of this feature given that it was labeled as having limited availability? Yeah. Yeah. So I’ll I’ll cover that as part of this wrap up. And thanks for Rudy for doing a great job showcasing it. I hope that you’re excited about this feature as much as I am. I think this is it’s really cool and that it provides a very, I think, pretty intuitive and easy way for our marketer personas to be able to take an audience that they think is valuable and find more of them. And not only is it just spitting out the model of of saying, Hey, I want to find more of this particular audience that I’ve identified. But it also shows you what went into the building of that audience transparency, something that’s really important to us in real time. CDP So not black box saying it, but actually showing what were the contributing different attributes that went into the results of the model and then being able to kind of tweak those too for the next run up that. So hopefully this provides some ease of use and also some additional kind of customer intelligence tools directly inside of real time. CDP This is in limited availability. And what this means only is that we’re we’re gradually rolling this out to customers. Everyone who’s a customer of Real-Time CDP, either B to C or B to P edition, will have this by the end of Q1 2024. So it’ll end up being the end of February. I know there was a question to I can just answer that quickly as well as why not B-to-B? So the way that lookalike audiences runs is that it is looking at a at a person profile and not at an account level at this time. And I’m sure that’s something that kind of we can consider for for future releases. Yeah. Any other questions, Doug, that you wanted to. Oh, I think that’s good. Oh, there was one. What qualifies audiences for Look alike audiences? Are any audiences available to create a lookalike audience for them? I don’t think that there’s any restrictions on what kind of pre what audiences you’ve already created that you could use or not, but. Far. As into it. Yeah, there’s a couple of factor, there’s a couple of kind of caveats to use of another feature that’s featured later in our countdown. So I don’t want to give it away. Okay, we’re moving on. Then maybe we can include it in the show. No. Well, I would like to say that when you’re thinking about audience as a lookalike, audience is the audiences that are very rich. And what I mean when I say rich, what I mean is that there’s lots of event level data, there’s lots of stuff in the profile to be able to build, not only build different audiences off of, but when you when I was exploring that look alike, all you saw all those different data points and how they were scored high to low. You know, if for whatever reason you don’t have a very rich profile or you don’t have a lot of different data points coming in, then it’s probably going to be harder to build. Lookalike audiences just because there’s a lack of other information. So the more you can set up, the more different data points you can bring in, then the richer of a data set you have to start with. Yeah, I’m saying that’s a prerequisite, but it will certainly make it more valuable. Okay, but that’s a good point. Okay, cool. All right, let’s do it. I’m going to change it up and give you a different kind of a here and next one. There you go. That’s for number three. Ooh. All right. This is a big one. This is Adobe Experience platform audiences. And you might be scratching your head and thinking, wait, we’ve been able to build audiences for a while. Was this a top feature that you’re counting down that you’ve launched in in Real-Time CDP this past year? Well, the reality is that we spend a lot of time and big kudos to our product teams and all of the development cycles that they went through to really reimagine how audiences show up and can be used and configured inside of both Real-Time CDP and Journey Optimizer. And we’ve really upped leveled audiences to now exists as this core currency that customers can transact off of. There are three key kind of developments that we’ve brought to bear when it comes to audiences. One is really standardization of audiences, of being able to have audiences in one central location in Real-Time CDP and Journey Optimizer. And as part of this idea is being able to have standardized governance and controls layered on top of the audiences. So being able to now fuller audiences, being able to also bring in existing audiences that you may have in other locations directly into Real-Time CDP through a easy workflow directly in the UI or using the APIs, has been hugely impactful to our customers. And then last but not least is we’ve had for years now a segment builder that has utilized Boolean logic and we now have a composer tool to complement that. So this brand new way for customers to curate and further refine audiences, which is like at the heart of what we do and why we use real time. CDP I’m hugely passionate about this as someone who’s been working in like an audience building capacity for nearly all of my career. So excited. Rudie For you to show the folks more about how this all happens in practice there. Absolutely. And I I’m a big fan of the new composable audience interface. I the Boolean structure made sense to me, but I’m much more of a visual person. And so being able to create the audiences in this new manner, it just makes a lot more sense. And I think a lot of our customers will find that to be the same case. So let’s, let’s create one of these new take a look at creating a new audience using the composable. So first thing we’re going to do is go back over here to customer, and then our customer we’re going to click on audiences and we’ve already got quite a few here set up. But I’m going to I’m going to go ahead and create a new one. And so now when you hit the Create Audience button, it’s going to bring up an option. So if you really like the the Rule Builder view, great news, you can still use it to your heart’s content. Doug, I know you’re a fan favorite of the rule builder. Yeah. So to get down into the nitty gritty and build it out. Yeah. Absolutely. But let’s say, you know, maybe you don’t want to get down to the complete nitty gritty and look at that. You want to be able to see a much more visual path. And so I’m going to start off here with doing a composable audience. And so right here on our canvas, the first thing we’re going to do is I want to add some of the other audiences that we’ve got in here to build out this new audience. And so I’m going to go in here for our audience. See, we right here provides a nice overview. What I really like. It has got this nice profile right here and make it easy. So, you know, if I want to know whose birthday is today, that’s not going to be super useful at the moment with a zero here. So let’s go and take a look at this propensity credit card upgrade. I’m going to add this audience in right now. And then you see if you saw that happened really fast, it refreshed and now it’s doing me that, hey, there’s a recommended or estimated record output, 18,000 profiles in this audience. We can go in and do some cool things, like we can exclude folks, we can enrich this, we can do some ranking. I’m going to split this audience. But, you know, unlike things in Doug’s house where all siblings, you know, are treated equally, you know, my mom had favorites. And as the baby, I was the favorite. So I’m going to get like. Certainly 90. Percent. And my brother, God bless him, you know, he’s going to get he’s going to get the scraps. And right here you can see in this audience the recommended output on the left side here, save is 16,000 and the estimated here is 18,000. So but we’re not done because as we go through, we can add I could add multiple paths. We could do base split based on different attributes. I can go in here and, you know, the credit card upgrade is nice, but I want to add some other layers in here. So, you know, this is a I’m currently in like a financial services account and we are we want to really target some of our bigger, bigger customers here. And so I’m going to click in here to. I’m going to add. The account value here. And so now not only is it some credit card upgrades and we start and it should refresh here in a sec, but there it went. So this updated to 19,000 total because I have a merge type of union. But if I go in and say let’s do an intersection instead and there it goes. So now we’ve got a, you know, much more refined audience down to 1.2 thousand total. But just an example of how easy it is to go in and start playing with your audiences. I really like how it refreshes quickly. I don’t have to publish this to see, you know, what my success rate is, to see, you know, how many folks in different audiences. It’s it’s really quick when you come in here and being able to add these different points. In. And I don’t have to publisher right now if you know I get called out I’ve got to start working on something else. I can just leave and this draft will be saved right here under composition. This is the draft that I started just now, some ones that I was playing with earlier in the week. And so you can always come back and wait or even before you go to publish. Once they’re published, you know, then these audiences that you create, they can be leveraged, like Nina was saying, inside of you, inside of any other parts of the platform that can be activated out to different destinations. But for me, this is, you know, as I sit here and I think about audiences and I want to think about how I construct them to do it, this is one of the easiest thing for my mind to wrap around. But I know everybody doesn’t think about things the same way. So having this in addition to the rule builder, does a huge upgrade for our customers. That’s awesome. For time’s sake, we’re going to jump back to Nima and she can kind of give us the wrap up on the audience portal and composition. Sure. So yeah, it’s three things we’ve done as we’ve reimagined audiences in Real-Time CDP and Agile. One ability to centrally manage all of your audiences, being able to govern them, organize them to being able to ingest audiences that have been created in other places. And three, the introduction of that composition tool to live alongside of that more kind of traditional or preexisting Boolean logic that we had had previously. So that’s a lot. Now, how does this make your life easier? I think being first and foremost, being able to reuse audiences that you spend time building in other places. Maybe that’s in a data warehouse. I know, Paul, you asked about CGI being able to just be quickly upload and start to use those and then in the past without having that composition tool, in the past, you might have had to work in another tool to kind of formulate some of those splitting of audiences that might not have been as straightforward. Hopefully being able to do that directly, being able to use all of those different workflows makes, your life a lot easier and this is all available for you use for you to use today inside of Real-Time CDP and Journey Optimizer. Awesome. Love it. Okay, let’s go to our next one. How long? I’m going to glockenspiel Celsius and. Woo woo, you know where that came from. So anything. All right. Coming in at number two again towards the end of our countdown here. Yes, the introduction of extended activation to new destinations through live RAM. So something that we know is so critical for our customers is being able to send audience as to where the eyeballs are that they’re trying to get to and also being able to move beyond calculus identifiers as well. So through our partnership with live ramp for our mutual customers of Real-Time CDP in live ramp, we have additional new destinations that will show up in the destinations UI section of Real-Time CDP that are available for for use to be able to activate to directly. In particular, these introduce new destinations like connected TV and audio destinations to places that require more durable identifiers and use ramp IDs and cannot accept traditional third party cookies that many customers have been using in the past specifically for kind of acquisition based activation and personalization needs. So more activation opportunities, an easy workflow to do this, all through the Real-Time CDP UI and as we keep saying, governance embedded of being able to leverage the existing labels that we have and to ensure data is used responsibly. Nice summary over to Rudy to show us. Some say you guys are going to push us along here as we. So like Nina said, we’re going to first take a look at these are the live ramp extensions around our destinations. So again, I’m on the home screen. Am I going underneath connections, clicking here on destinations? Once this paints a little show, the catalog I could do a search on live. For instance, I already have a configured I’m going to select on my destinations and I can see right here I’ve got two different ways I could do. I could do a live distribution or a live ramp onboarding. I’m going to get into those specific differences. But let’s take a look at actually activating an audience here with Lever. It’s really easy. So here it’s from Orient, or here’s some destinations that have already been configured so we could go to Spotify or Roku, for example, if I wanted to. To do it here, I would click on this one that was already configured and everything’s already been specified here for me. And I can go in here and say, All right, now I’m going to activate an audience and this brings up a list of all the available audiences. And again, the lovely profile count. I know this may seem, you know, oversimplified, but this is it’s really nice that provides a nice visual clue of, okay, here’s the one here has got 15,000 folks on it or profiles. I can select that and right here it’s going to provide a quick review of, okay, here’s what we’ve set up. We’re going to set this demo over. Here’s these where you can view those consent policies that Nina was talking about. So data governance and that foundation of trust, you can actually click on this and review all the way to see which ones are going to apply to this scenario. But as with many things inside a platform, this isn’t the only way to get in here and start activating audiences. I’m going to cancel out of this. I’m going to go back into one of our audiences over here, and if it finishes painting here, where did it go? Oh, I know what I got to do. So I’m going to switch orders real quick on this one. I wanted to show wasn’t sitting there, but if we go back end to this one here, you know, we can see where the different audiences have already been activated, too. And so if we wanted to activate this particular audience here to a live room, you could do the same thing where you view all the destinations that already exist and then you could go in. If it’s not one that’s already built, you can go in and out of there. So the ability to switch over and back into, Oh, I clicked on the wrong thing. Doug You know what the live demo gremlins got me. But yeah, that’s right. I think what what I want to try and get to is that you can easily from within the audience builder or whenever you’re looking at audiences, you know there’s the ability to activate those two destinations at once. You’ve configured the destinations here, then you empower everybody on your team that’s working with the data to be able to activate these audiences whenever they need to. So a huge, huge boost for our customers. Stay there for a second. Yeah, I just going to say that, by the way, we will provide also links to additional resources about all of these features. And this one, I know that that you have to put up with my voice again, I did a video on how to do this and how to use this and how you have to use both of these the onboarding and the distribution destinations together. We like to send it, to send it to live ramp and notify them and then come back to distribution and go send those same ones on and just they automatically go over just like like Rudy was doing. But I have a I have a walk through video that can help you with this, and we’ll put links to these features as well. Additional resources. Absolutely. Let’s jump back over to Nina to wrap this up before we get to this one. I’m so excited. So just a quick wrap up here on what we’re doing. Little live ramp is, again, we know that we have a lot of mutual customers. A lot of you folks who use Real-Time CDP also use live ramp and, also have this desire to reach folks, send audiences to connected TV and audio. What we did here is make this a lot easier for you all and Rudy showed the ability to send audiences directly to live room. Something that we’ve we’ve also done is now have some of the destinations that our through live ramp like Hulu as an example be available directly in the UI for you to publish audiences there directly and have kind of that end to end workflow from building audiences to activation all within the Real-Time CDP UI, and this is available today. I saw there was a question about kind of level of, of a live ramp license. We can include some of the notes, but always a good idea to contact your live ramp contacts. Tick to confirm everything as well. Right. Okay. We need a new okay, here comes the new number one. Yeah. All right. So imagine. Okay. When we made it to the countdown, it’s almost 20, 24, but big release that happened in 2023 is support for partner data inside of Real-Time CDP. So this is the ability to use third party data based on durable identifiers from trusted partners that you may work with, like the axioms of the world. Merkle Are Epsilon, other other kind of data providers out there and start to leverage that in real time. CDP For the purpose of usually upper funnel customer acquisition work streams that you may have of being able to bring in and have new customers. This allows you to be able to leverage Real-Time CDP for for full funnel marketing all in one system. What we mean by that is being able to leverage partner data allows you to work at that acquisition and top of the funnel bringing prospects in. But with everything we have in Real-Time CDP, you can do all of that. But then also the kind of lower funnel activity all the way through to, you know, customer loyalty and retention. And as we keep saying, built through trust and something that’s a bit differentiated in the way that we’re supporting partner data and stored in Real-Time CDP is being able to delineate of what’s a prospect profile so that we can safely manage what our prospect profiles versus what our profiles that we have some known customer data attached to and that makes your lives as as practitioners, as users, as owners a lot easier when you can clearly see those distinctions in the tools. Rudi, help us learn more. Here’s all right. So what I like to do start talking about doing the the the partner data. The first thing is we have to construct the mechanism to ingest that data. So if we go down and take a look at schemas, there’s actually a new schema type. So if we go in and actually that can you still see that dog there? Yeah, there’s actually a new class of individual prospect data and that’s the partner data. And even when you go in to start creating a schema, you know, it’s one of the additional ones that you can go in and start creating those different classes from. But if we take a look at this partner approach, that partner data, this is where there’s that durable identifier that Nina was talking about gets set. And any other attributes that you’re going to bring over from that partner. Again, only limited by the level of detail that the partner data has. But you can see the partner has all this extra information. And then once you’ve set up these schemas and you start bringing in and then you can start leveraging it to, to enrich the profiles of those already known customers. I do think kind of the you know, we’ve mentioned about data governance and the foundation of trust. You know, it’s really an unsung hero in almost all of these releases this year. But when you create a partner profile or a partner schema, then when you go in to take the labels, the third party label has already been added to all of those fields. So this is a huge should be a huge sigh of relief for as they’re like, okay, I’m bringing in this third party data but is automatically flagged as such so that whatever access or governance rules that you create set up for this, you know, will be adhered to everywhere this data is leveraged. So this should be, you know, that nice comfort blanket that you’ve got to know that when you bring in the data that you are going to be handling it responsibly. And then once you’ve started doing just that data, then down here instead of under accounts, we now have prospects and we’ve got different prospect profiles. You can build out audiences on this. And of course, like right here, this is bringing in extra information that you would not have without being able to leverage this partner data. Now, correct me if I’m wrong here, Nina, and I make lots of mistakes all day long, so it wouldn’t surprise me if I get this wrong. But the partner data is something that it has to be continually refreshed. I think it expires every 25 days. Do I have that right? We can. We can go back and double check, but it is something that you would you would kind of bring in and would want to refresh. I will say that’s something hopefully when we come back to you next year in 2024, we’re going to make some improvements around workflows of bringing this data. And so a little teaser for next year. Which. You have to continually refresh that data because as people use all the different, you know, websites out there in the world and that the aggregate, the collect this partner data have it, you know, that data changes and ebbs and flows. And so in order for you to create effective campaigns and effective offers and marketing to hit those prospects and convert them into customers, you have to have current data. So having it refresh on a regular basis is a very good thing, considering how this data is actually used and nice. I think we did it. I think we made it through all five in the time that I want. To wrap up, let’s get the wrap up on this on partner data. Love it. So just quickly on what we built and Rudy did such a fantastic job of showcasing this. This is the ability to bring in third party data based on durable identifiers from partners of your choosing. So Real-Time CDP is an agnostic player in that we’re allowing you to choose which partners you want to work with, and you can do this to prospect for new customers using their prospect profile. But a use case we didn’t really talk a lot about today is also using this to enrich existing first party data. So that’s leveraging some of the additional attributes that those data providers can offer to you. Hopefully this makes your life easier. Perhaps before you were doing acquisition based activities, maybe in a silo, maybe somewhere separate from Real-Time CDP. Hopefully this is allowing you to market to your customers over their lifecycle all the way from kind of prospecting to them to acquiring them as a customer and then being able to, you know, utilize Real-Time CDP for some of those retention, upsell and loyalty programs as well. This is available for all customers of Real-Time CDP to start using today and if you haven’t tried it yet, would definitely encourage you to do so. Yeah, in fact, we have we have a question of like, can we set up maybe another session about this one specifically where we can get deeper into it? Thank you for that suggestion and we’ll we’ll try to get that that going and maybe make sure that you guys get all the information that you need about this as well. So our more on that to come. So thank you for that suggestion. That’s awesome. Okay. We did it under the last one of the I know it’s usually a joke, but that’s a that’s the one is get that too. So before we go, you guys, first of all, thank you to Nina and to Rudy for going through these things. There’s a lot to go through. And before we leave, I can’t really leave without giving you our last final segment, unrelated cool tip. So I have I have, I have for you in that in the spirit of top fives, here’s what I’m going to give you. I’m going to give you my my top five holiday movies. I know that you’re all going to like disagree with this about my top five, but here is the real top five. I’m just Sam. So so I’m going to give you, first of all, to give you the four in no particular order and then I’ll give you the top one, because the four, they kind of go move around a little bit. But but then the top one is always a top one. So the top the two through five are elf. I don’t know if you guys are good because I haven’t told you guys this, then I have to make sure I don’t say number one. Yeah. So ELF, this one is maybe controversial for some of them, but Scrooged with Bill Murray is my list and it’s a Wonderful Life. And I miss I’m forgiving one thing. I’m an elf and oh my gosh. I am home alone. I hope that somewhere in your top five. You know, probably 6 to 10. Okay. That’s right. I just get and and hold on to my number one, though, is Muppet Christmas. Carol the Muppet Christmas Carol. And and for me, my. Oh, wait a minute I one of these here. Yeah okay so yeah I since I figure there’s kinds of people in this world, people who like muppets and monsters that’s a throw that out there So Muppets monsters. Wait a minute. It’s so that’s just that’s just my top, apparently, for. I don’t know. I can’t believe I missed the other one. But, you know, insert your other one there. Your other favorite to get into our top five today. Anyway, thanks to again. Thank you, Nina. Thank you, Rudy. Appreciate you guys today giving us all this great information. Again, we’ll follow up with some more information. I’ll have a link to a community post. We’ll get more resources for you guys so you can follow up on these. Thank you for everybody who came in live. Thank you to those who will watch the replay and we’ll see you next time. Thanks, everybody. Thanks, dog. That. Thanks, dog.