Real-Time Customer Data Platform, Target, & Friends

Transcript

There we go. Awesome. So hello everybody and thank you for joining us today. Welcome to our new webinar platform Adobe Connect. This may or may not be your first time joining one of our events here so welcome. We are excited to be hosting today’s perfect blend here on Adobe Connect and as mentioned this is a rather new platform for us. We might run into a couple of kinks or unexpected surprises but we appreciate your patience and hope that you enjoy the experience. So today we will be talking about real-time customer data platform or RTCDP and Adobe Target and how they are the perfect blend of Adobe products and we will also be touching on a few of our other Adobe portfolio friends including Marketo and Gage. So Josh has really awesome presentation ready for us today so I’m excited for us. We have designed the session to be interactive so we do encourage you to ask questions in the questions box throughout the presentation. It’s gonna kind of pop up on different places floating around your screen throughout the presentation so you type them in there and we’ve set aside the last 10 minutes or so for Q&A so we’re gonna do our best to answer as many of those as we can. I also want to quickly mention a few housekeeping items before we get started. We will be recording this webinar to be viewed on demand and shared with other members of your team so you will get a recording of today’s event in an email from us tomorrow afternoon. I’d also like to point out that at the top of your screen there’s a black bar and it has an icon of a hand on it there you can drop down and find different actions that you can utilize throughout the presentation so if you like what you see feel free to applaud, laugh, like so on. We’d love to see your engagement throughout the event so definitely encourage you to utilize those features. I do also want to mention that on the next screen there’s a handout available for download. Josh put together a bunch of resources for you so be sure to download that and use it as needed. And then as we’re closing out the webinar we have a few survey questions that are gonna pop up on your screen if you could take a minute not even to answer those questions that would really help us to ensure we’re meeting your expectations at these events. So with that I would like to go ahead and introduce myself. My name is Alana Cohen and I’m the Senior Digital Events Manager for our Customer Success Strategy team here at Adobe. I’ve been with Adobe for about six years now and spent the last three and a half of those years organizing and hosting these events for you guys our customers. So part of my time on this team I worked with Adobe’s advertising cloud customers and then before coming to Adobe I spent many years at different advertising agencies around New York. I’m excited to be here now hosting events like this for all of you. So if you have any questions about today’s event about Adobe Connect about any of our customer exclusive events please do reach out. And with that I’d like to hand it over to our presenter today to introduce himself Josh.

Awesome thank you so much Alana. Hello everybody it’s fantastic to be with you guys. My name is Josh Kimball I’ve been with Adobe for about five a little over five years now. I’m the Senior Solutions Consultant and I just love doing what I’m doing. So in been in the personalization space in kind of customer data relationship space for over about 10 years 10 11 years now. And I really love what I do because I like getting the best content in front of the right people. We’re all in that situation where we’re constantly getting bombarded with stuff that’s just completely not relevant to us and it doesn’t really help anything. So I love this space I love talking about CDP and personalization and excited to share kind of my knowledge and background with you guys today in this call.

Awesome well we are excited to hear it. So let’s go ahead and get started.

All right so here is today’s agenda. We are going to talk about what is our CDP and then what is Adobe Target and then of course what is their perfect blend. So before we get started we would love to know who is on the call today. So here is just some of the Adobe products that you may or may not utilize. So let us know which product is your team currently utilize. This is multi select so if you are using more than one please let us know. So we’ve got Adobe Target, our CDP, Marketo Engage, Adobe Analytics, Adobe Jersey Analyzer, Adobe Customer Analytics or perhaps a new product.

All right it’s a good mixed bag here. We have a majority of Target and Analytics customers and then some Marketo and our TCDB customers as well and then of course some other Adobe products too. So it’s a real mixed bag here which I love to see. Awesome that’s super helpful. All right Josh I’m going to pass it back to you to kick us off. Perfect thank you so much and yeah love seeing everyone’s you know kind of comfort and what solutions they’re used to. Like Laina said a lot of analytics, a lot of Target, a lot of Marketo Engage so love seeing that and during this presentation I’ll talk a little bit about how we can source data and also send and activate to a lot of these different solutions you know Target for sure but Analytics and Marketo as well so love seeing that that we have a lot of that experience in the group that’s with us today. But to start things off with where does Adobe Realtime CDP and Adobe Target fit within the Experience Cloud portfolio? So of course you know especially for those on the call who are already utilizing this you’re probably familiar that Adobe has a lot of different applications and where Adobe Realtime CDP falls under is more in this data insights and audiences category and then we have our customer journeys category where Adobe Target fits. So that’s just kind of where they both kind of live inside the ecosystem of our Experience Cloud but both of them pulling and utilizing from the rich Adobe Experience platform with services and data so that how they play well and play nice together and are really the perfect blend is a phenomenal story that we’re going to get into in this call. So to start off with that agenda what is Realtime CDP Customer Data Platform? Well it’s your tool it’s your platform for collecting, managing and sending to other destinations and activation. It’s your tool for that but where it all starts is in building a unified profile and so it’s all about the data. We’re pulling in information. We want to know who people are, what makes them them. We want to know their behavior, what are they doing. We want to know their preferences. This will go a long way in building trust with them as we honor their preferences and a Realtime CDP platform will help with this and will help to manage it. It actually has patent, not patent pending, but it has proprietary and powerful governance built into the into the platform there. We want to really be able to utilize all this data in rich segmentations for building out powerful audiences. So that’s really at the core and this next slide you know again building that unified profile is at the core. What Adobe Realtime CDP is ultimately doing is again collecting data whether that’s known, unknown, first-party, online, offline data and we’re pulling that data in from all your rich sources and we’re normalizing that data so we have this one-stop shop if you will for understanding your profiles, understanding people and then we can activate that across your entire marketing ecosystem. As part of the platform we’re going to do some powerful identity stitching. We’re going to leverage AI and machine learning, maybe do some propensity scoring to help enrich who we’re reaching out to, who we’re speaking to and where they might be in their journey and their maturity in doing business with us. We can do some collaboration and enrich the data through our partner ecosystem as well and then build out some very powerful segmentation through the events, the behaviors, the attributes and leveraging any other profiles we may have already built and utilized. All of this sits upon our past data governance and consent rules and logic so that you can have that peace of mind that if there are any sort of you know information that certain segments or destinations you need to follow or adhere to that it’s going to adhere to that based off of how we’re able to set this up and utilize it. Now when it comes to bringing in those sources and also sending out to destinations we have hundreds of pre-built sources and destinations. So this isn’t a holistic list, it gives you an idea of some of the sources that we’re bringing into. So we have a lot in the audience on today’s call who are familiar with Adobe Analytics and MarketoEngage bringing in all of this rich data, Adobe and Target as well. I mean all of that is going to play a role in building out rich segmentation and utilizing this data as you go about personalizing in the most effective way. So that kind of takes care of what is our TCDP. The next thing to look at is what is Adobe Target. So Adobe is a personalization platform. So whether you’re doing simple A-B tests or you need to leverage multivariate tests that are full factorial multivariate, whether we want to do more rules-based personalization. And this is where we’ll look at a use case today of building out a segment inside of real-time CDP and leveraging that segment inside of Adobe Target. You can also segment inside of the platform as well and kind of do a combination of different data for your segmenting and your personalizing. And all the while being able to leverage Adobe Sensei, some AI and machine learning to help automate and really put forth the best content in front of the right people. Now personalization, it matters. It matters to your customers. Through various surveys done, I think we all know that it’s going to have an impact. 80% of consumers are more likely to purchase when they feel like they’ve had a personalized experience or when they can more easily navigate to what’s interesting to them and important to them on your site versus having to dig a little deeper and not really having that curated experience for them. When things are not personalized, you know, 48% have left the website without purchasing because it wasn’t really curated for them. And you got 40% are more likely to spend more money than they had planned. So not only is it important to your consumers, it’s important to your organization because we have found that organizations who do personalize have lower costs. They have increased revenue and marketing efficiency. And you know, we love seeing these numbers. We love seeing more revenue. But really, it’s what’s behind these. What’s behind these numbers are people who are feeling like they’re getting that personalized experience. They feel like the red carpet has been rolled out for them and their loyalty is going to increase for your brand and for your organization.

And what’s driving the numbers and why we really, really care about this.

And just to kind of wrap up again with with the slide where an Adobe target.

We really built this platform to cover off on basically any of your use cases that you can think of. So whether it is around personalization, utilizing recommendations or AI machine learning, hitting on more rules based personalization. We have all the tools needed to to cover any sort of use case you might have and across any of your different channels or devices.

So that kind of wraps up, you know, what is Adobe target? So really talking about these two, what’s what’s their perfect blend. And really, when you have these two platforms in place, you have real time CDP that’s gaining the 360 degree view of your person, you’re unlocking powerful segmentation, you’re leveraging AI machine learning for propensity scoring. And we’re ultimately taking all that rich, rich data and the governance that’s built into real time CDP. And we’re leveraging all that inside of Adobe target activities. So taking these rich segments, utilizing them in target or increased experience, engagement, conversion and loyalty. That’s that’s kind of where they really fit well together.

And so what you’re going to see in the live demonstration that we’re going to jump into right now is that this personalization takes place in milliseconds. We’ve got our RTCDP that is collecting the data. It’s doing some qualification for the segments. We’re sharing that to target and really any of your other marketing ecosystem. And we’re delivering that experience from from Adobe target. So that’s, that’s what you’re going to see today. And that’s what we are going to look at. As soon as I show you my screen, I have the demo screen up.

I do. Hold on, we’re still loading on our end. One second.

There we go. You are good. Perfect. Okay. So we’re going to start in Adobe real time CDP. It’s in it’s inside our Adobe experience platform. And when I first log in, I do land on my home screen. And just to, you know, make sure that this tool becomes something that is usable and intuitive. Right off the bat, you know, we want to make sure that learning how to use this tool is really front and center. So on the home screen, you’re really going to, you know, get prompted with, hey, let’s learn how to do these things. Let’s also see all the different data points that are going to be important and relevant to us. Our total schemas, data sets, audiences, what have we most recently been looking at. And again, resources, making sure that we can really learn and dive deep into this powerful, powerful tool. So if I want to understand, you know, connecting sources better, I can go ahead and click here and again have access to all of our rich content inside of experience leak. But where I want to start off in here is going into our sources. So if we think back to that slide, we got our sources, our profiles and destinations. And that’s really what’s going to drive today’s kind of demonstration here. So as I come into our sources, again, we have hundreds of pre-built sources here that make it very easy to set up and establish these connections. Now we at Adobe, we own these connections, meaning we’ve worked with all of these different partners and sources to make sure that when you set this up, it’s going to work. And that’s on us to make sure that it works. And it’s also on us to continue to build out more. We’re constantly getting feedback from customers. Hey, could you guys, you know, build out this source or this destination? I don’t see it on your list yet. So we’re continually adding to this list here. And if right off the bat, you don’t happen to see a source or a destination already built one, you can let us know. But two, we also have kind of our catch alls with, you know, SFTP, as well as our HTTP API. So if it’s not currently pre-built, we’ll still be able to pull in as a source to associate and connect with it. But that’s the idea here. They’re pre-built, they’re usable. I know there’s a lot on this call who have Adobe Analytics or Marketo Engage. If I want to set up any of these, it’s as easy as clicking the ad here. And then it’ll walk me through a couple steps to establish this connection to this source. So authentication, and you select the data, the data flow, and then we can map it and then review that. And this is now set up. So when you think of what sometimes in the past can be a very, maybe a more time consuming integration, this platform is built for ease of use in mind, building these out, setting them up, being able to quickly search and find based off the right category, any of your data points that you may be wanting to leverage here. Now, as I have been setting these up, I also can come to my system view and I can very quickly identify what connections I already have in place. So here I have several connections on the left that are connected to real time CDP. And I can also view their destinations and what they look like, how many connections for each one of these are set up. So another easy view to make sure you have that peace of mind of making sure your connections are good and that they’re all set up properly.

So that’s our sources there. The next place we want to go to is once we have our sources established, let’s actually view a profile and see what we’re all actually bringing together to have this complete unified profile. So here I’ve opened up a profile for a specific individual for Martin here. And for Martin, I can see all the different attributes, identities, preferences, all the different data points that we know about him. And again, this is coming from all of our different sources. We’re normalizing that data and we’re bringing it in here, making it visible and usable as well. And so we’re also as part of this stitching together and creating this identity graph. So I’m actually going to click this little identity graph button. And you’ll start to see and understand, like as people are first maybe known to us, you know, we need to identify them in some way. Maybe that’s the first initial ECI experience cloud ID generated. But as this person Martin maybe filled out a form, he gave us his email and maybe that’s where we’re at. We’re pretty early on in our relationship with with Martin here. But we’re going to stitch together all of this rich data. And as we start to learn more and more about him, as he maybe identifies with us on a different browser, a tablet, a phone, generating all those different ideas for those different devices, maybe he utilizes his personal email, as well as his work email. All of that information will be stitched together so we can eliminate duplicates and really come to know and understand who each one of these people are and how they’re identifying with us. What are their preferences and how we can best leverage this data to reach out to them in meaningful ways. So not only do I have kind of my details page here, I can see the full view and list of all the attributes that we know about these profiles, as well as their actual behaviors. What events have they actually taken place? So if I kind of go back to the beginning, I can I can basically read through what he’s done with us. OK. He visited our home page on this day and time. He was referred there from this source and just start to see his personal journey with with our organization. And again, this becomes very, very relevant as we start to use this data in building out relevant segments, adding him automatically to specific memberships for the audience, loyalty levels, all that kind of information will play a role in how we’re able to use this.

So that’s building out the profile for him. Let’s take this profile data and all the data in the system and let’s maybe leverage AI machine learning. And what we’re going to do is we’re going to come to our services here. So coming into services, we can do a couple of interesting things. We can do some predictive lead and account scoring. If you’re more on the B2B side of things, attribution AI is going to be a powerful asset to us. And we also have customer AI. So that’s the one I’m going to open up here. And what this will do is actually generate a propensity score. So we have all this rich data and maybe I have one built out that’s based off of conversion. You might have something built out that’s based off of churn. I can quickly start to identify my propensity type, how many data sources I’m utilizing here, the identity aspect to that. And it’s going to give us really powerful information. It’s going to give us our scores here so I can quickly identify a low, medium and high propensity to convert in this example. And so I can see that, you know, most people fall within my medium propensity. But depending on the use case, I can go ahead and at any point with one click of the mouse, say, let’s create a segment utilizing these propensity scores.

I can also quickly see here historical performance model evaluation, maybe the area under the curve and other indicators to give me the confidence that this AI machine learning is is is performing well. It’s doing its job and that we can trust the results in the data here. So I’m going to go ahead and click create segment, and that’s going to pop us into our audience creation capabilities in here where now we have that propensity score greater than or equal to 75.

I’m definitely wanting to utilize and leverage that customer AI that we just looked at. But I want to add on to this. And so I have different fields in my disposal. I can add in attributes. So think things that that that belong to them, like they live in a certain city, certain zip code attributes that are just kind of known for that. We can add in events and other audiences that we may feel as well. To give a quick example, you know, if I want to bring in and maybe that certain city, we can drag and drop that in here and go ahead and add that. Maybe that city equals your whatever that might be. And we can continue to build out these attributes. You’ll notice that there’s and or logic include exclude functionality to really hone in on that exact audience that you want to for for your specific use case. So I’m going to exit that. We’re just actually going to stick with propensity score as far as my attributes. But let’s let’s add in some events here as well. So events might be behavioral. So maybe we want to build this out for people who had a certain impression. Maybe they viewed a certain ad, maybe for this specific use case. In fact, let’s say this is someone who’s looking into Adobe’s real time CDP. So they maybe had an impression landed on the home page for our real time CDP at Adobe dot com.

And so they had that impression. They looked at it. Not only did they have an impression, they clicked on it, but they they actually viewed the page. So we’ll add that in there. Drop, drag and drop that. And we want to actually make this more time bound. So they had to have that impression and view that page, let’s say within.

Say 30 minutes. And after viewing the page, we want to know, did they actually have a conversion event in this case for our real time CDP? Did they click the button to maybe learn more about Adobe’s real time CDP? You know what? In this example, we’re actually going to say that this is a group who did not. So they had the impression within 30 minutes. They had the page view. Maybe within, you know, another. We’ll give them two hours. They they didn’t convert. And we can wrap this whole thing in its own time frame if we want in the last, you know, four days.

So very, very powerful in your ability to get hone in on the exact timing of these and what’s taking place here.

So for this example, this is now people who have a high propensity to convert. They in the last four days, they had that impression. They saw the page, but they didn’t convert as part of them kind of going through this conversion funnel. They they basically abandoned it. So that’s the name I’ve actually given this. It’s conversion funnel. Abandoner. I can add description if I want any tags. And we can also for our segments very easily build out and utilize governance.

So here I can apply access labels. So if I click on this real fast, you’ll notice I have. Identity labels, sensitive contract labels and the ability to continue to add custom labels as I go. So if we have, you know, PI information, sensitive information that we want to make sure is honored for this particular segment. Maybe you’re in a certain region or area that has certain role rules that need to be identified. You’re up with GDPR. All that can be applied. And with this type of data governance level that you can add on very easily, you can now have that peace of mind that it’s going to be honored and that it won’t be marketed to or anything like that in an inappropriate way.

So we built this out now. We have our conversion funnel. Now that we have this segment rebuilt, let’s look at sending that to its actual destination. I’m going to come into destinations here and it’s going to look exactly like our sources. And so but this time this is what we’re setting up to actually send out to that specific destination. Do we want to send this audience to Marketo gauge measure target? Really, any of our different options here, we can go ahead and set that up and send that out to what I’ve already said in advance is sending this over to Adobe target. And so sending it over there is where I’m going to head to right now.

So for those not familiar with Adobe target, this is the main dashboard that you’ll see when you first log in. It is our activities dashboard. So I have the full view and list of all my different activities that I’ve built out and whether they’re inactive, live, in draft mode, etc. And I can come in, I can edit any of these real quickly, I can activate them, I can click on there and kind of see the results behind them. Now, I mentioned earlier that Adobe’s approach with Adobe target is that we wanted something that’s holistic and can really cover up on all of your different use cases. So when I click Create activity, I can do an A B test, automated personalization, experience targeting, more rules based multivariate test recommendations. All that is at my fingertips. For this example, I’m actually going to leverage experience targeting. And if we click on audiences, we’ll notice that I was able to bring in that conversion funnel abandoner from our real time CDP.

So if I want to, I can create an audience on the fly and also combine this with my audience from our TCD piece. We have other sort of certain rules we want to bring in. We can build these here and leverage them. We can actually combine them when we’re building out activities. So let’s actually build out a use case for Adobe’s website here. We’re going to come into experience targeting. And I already have that built out here. Utilizing this tool is WYSIWYG. So what you see is what you get. Very easy to navigate and utilize everywhere I cover my mouse. You’ll actually notice it’s going to highlight on that element of the page. So whether it’s a link, a header, paragraph, I can go ahead and start to interact with that. All I have to do to actually have that interaction and make that modification is left click the mouse. So for this watch overview, there’s different things I might want to do with this. Whether I edit, whether I insert before or after, do something with the layout.

Lots of different things I have in my disposal to do. So with this button, maybe let’s do a quick experiment and just change it from blue to red. I can save that. Very easy to work with this tool.

Now, on the left are my different audiences. And so you can see here that I brought in my conversion funnel abandoner. That segment that we built out in real time CDP. And for someone who meets that criteria, we know that they were interested in real time CDP for this audience. Maybe the hero image is going to be more personalized to them. It’s going to be more on topic with what they’ve been showing interest in. Maybe I changed the color of get started with real time CDP and made that more front and center. So ultimately, you know, this is a simple example, but you can start to see and get ideas for the powerful use cases that you can utilize in your personalization capabilities.

So with that, wanted to go into one last area, and that’s actually looking at a use case. And so here on our website, and I’ll actually post this link in just a little bit so everyone has access to it. But I want to highlight something that Home Depot has been doing, and that’s simply the use case of utilizing Adobe solutions like real time CDP and Adobe Target to really deliver faster, more personalized experiences, and have a huge increase in these personalized campaigns versus what they were doing before they leveraged all this information and tools. And so the one thing I’ll quickly highlight on and again, I’ll send this out so I won’t spend too much time on this, but it’s really just the power behind what Home Depot has been doing in leveraging real time CDP across their various various tools and platforms, including Adobe Audience Manager, as well as Adobe Target to quickly test offers personalized in meaningful ways. And the impact that’s had on Home Depot has been huge. And I just kind of want to read this last paragraph here that Miss Bialik says, you know, at the heart of our transformation is the power of data and the trusted relationship Home Depot has built with its customers. So with Adobe real time CDP Adobe experience platform, we now provide a much more relevant targeted messaging to inspire millions of customers.

So I love the use case of what they’ve done and the powerful impact that’s had on not only their business, their bottom line, but ultimately on their customers and loyalty that it’s generating.

So with that, Alina, if you want to bring back. Sure thing. We are going to pop back over just kind of wrap up process here, but you may have noticed up on the screen in the bottom right corner is a form to fill out if you would like more. If you are not an RTCDP or Adobe Target customer and you would like more information on either of those products, feel free to fill out this form and we will put you in touch with the correct person so you can just get some more information on that. And then here is our is this is the same slide that was up right before we hopped into demo.

But as you could see, through Josh’s demo, that was truly like personalization in milliseconds there, collected the data in real time CDP. We watched him build out the segment and then just pop it right over to Adobe Target. So that was really that was really impressive and very cool. I loved to see the products in action. So thank you for sharing that, Josh. Any other comments or notes you’d like to add before we head over to Q&A? Yeah, not for me. Yeah, just wanted to kind of bring this one back up for that, you know, tell show tell that, you know, what you saw was was the true power of in milliseconds being able to really do all these steps, right? Collect the data segment, share it, not only the target, which was this example in today’s call, it certainly is an amazing perfect blend, but really to any of your destinations. It’s going to have a powerful impact instead of having what oftentimes is siloed data and trying to piecemeal it together. This this normalizes brings it all together and becomes that single source of truth for your profiles.

Awesome. Thank you. All right. Let’s pop over to Q&A. We’ve got a couple of questions. Give us a moment. I’m going to go back.

All right. We’ve got let’s start with one and then we can get into as many as we can. So why would we use our TCDP segmentation instead of just target segmentation alone? Yeah, it’s a great question. And to be clear, Adobe Target is a standalone solution. You can just buy that alone. And it does have its own segmentation capabilities within it. When you add on real time CDP and you’re utilizing their powerful segmentation capabilities, it takes it to that next level. You’re adding in the patented governments for that data as part of it. So you have that extra layer of peace of mind. But it’s really all about real time CDP capabilities of bringing together all of your rich data offline, online and and having the extra rich capabilities of segmenting that goes along with that. And by having it there, not only is it utilized in place target, but you can send it out in various other destinations and have a cohesive messaging throughout. So very, very powerful reasons to to utilize real time CDP segmentation. But you can also have kind of best of both worlds. You can leverage the segmentation and target as well. And like I said earlier, you can combine them. So you have a segment from real time CDP. You want to combine a little bit more rules to it that maybe you’ve already built out and target. Go ahead and combine that and now build a very personalized message.

Yeah, that makes complete sense. I mean, we just saw the power of the two of them together. So, um, awesome. I am. We have a couple of questions in Q&A. I’m going to give Josh a moment just to like, take a quick look. Because they’ve been kind of coming in. Josh, if you want to grab any of those questions, I don’t know how quickly you can read, but bear with us, everybody, because we are doing all this live. So, and for anybody else that I know a couple of people asked, this is being recorded and you will get a link to a link to the recording and an email from us tomorrow afternoon. So, not to worry if you missed any part of it, it is being recorded. And we’ll send that out tomorrow.

All right, Josh. Yeah. And so a couple I’m seeing just right off the bat. You know, are there other types of CDP other than real time CDP? As far as an offering from Adobe, the real time CDP is is the one and only it’s what you would go with for your CDP needs. So that you want to be looking towards real time CDP.

Let’s see before adding attributes. How do I understand? Answer was made the score.

So when you’re building out like customer AI, where we looked at the propensity score, when you first go to build it out, it’ll actually walk you through a step by step process of kind of what you’re looking for. Is it going to be based off conversions? It’s going to be based on the term. What data sets are we using? What’s kind of the main key API? So it’ll walk you through very, very in kind of plain English. So you’re going to know kind of what’s what’s going into your propensity score and have some confidence in that.

What are some factors to consider when choosing between AJO campaigns versus Adobe Target? That’s a really good question. And what’s interesting is there is a little bit of overlap when it comes to personalization between Target and AJO. What I would say is that Target is and always will be, at least from Adobe standpoint, like the single source kind of go to for all things personalization. And so its capabilities and robustness go beyond what AJO can do. If you’re looking for, you know, more, I guess, lighter on the Web campaigns of personalization. But you also have a lot of use cases for crafting out that journey in the way that AJO does and sending text messages and emails. Then AJO is your is your go to. But if you have your your team that’s maybe a little more dedicated to experimentation and to that personalization, to leveraging Adobe Sensei through recommendations, auto target, auto allocate these powerful algorithms that you can utilize and A, B testing, then Adobe Target is where you want to be.

Awesome. Thanks for that clarification. I know there were a couple of AJO customers on the call as well.

Let’s see. Someone asked if RTCDP really thrives with just with B2C customers specifically, or is there other use cases? Yeah, so there’s actually three different offerings or SKUs. You could say there is the RTCDP B2C edition, if you will. There’s also a B2B edition and then there’s a hybrid. So there are there are plenty of organizations who kind of do both. And so the hybrid would be what they want to do. If you’re strictly a B2B, go with the B2B edition and it will encompass all of your opportunities, accounts, leads, and there’ll be certain fields associated with that. So definitely don’t think of real time CDP as only a B2B type tool or platform. It is also purpose built for B2B organizations to utilize as well.

Awesome. That is good to know. I did not know that myself. So thank you.

Yeah, there’s one. Does the RTCDP allow custom models if one plans to create a custom audience? Absolutely. Yeah, we want to make this tool as relevant and usable for your organization. And so the ability to bring in custom data, do custom mapping for the normalization of that data, custom models, you think of utilizing the AI machine learning propensity scores. All of that is available and lots of our customers are bringing in a lot of custom custom data as well. So definitely, definitely. Yes. Awesome.

Yeah, it’s a powerful tool. So it’s going to work for you guys.

We did cover a majority of some of these other questions that have come in. I don’t know if you see. I’ll give you a final moment or two to look through. But I think we covered most of them.

And again, if you have a question that is specific, like extremely specific to your account or much more technical, you can reach out and we will put you in touch with the correct person.

I think. You think, Josh, we got most of them, right? Yeah, I think we got most of them. There’s some that are maybe a little more in the weeds than I maybe want to get into on a call like this. But I would just suggest any any and all questions you have, you know, reach out to your Adobe, you know, CSM or wherever you may be working with. They’ll absolutely be happy to kind of address any questions that you have following after this call. We love we love talking to customers and those who are just interested in learning more. Yeah, perfect way to kind of close us out there. So with that, I am actually going to head over to our wrap up here.

So, as Josh mentioned, there’s the link to the Dix sporting goods. Actually, that was unsafe. That was Home Depot. There’s another use case for you. So we also have linked to our upcoming events and past recordings. We do also offer an in-depth RT CDP demo that will be a follow up event to this. You are more than welcome to click into there. Thank you, Josh, for adding Home Depot use case in there.

So we have another demo of a more in-depth demo of our TCP, if that’s of interest to you. So you can click over and register for that. Don’t forget to grab the white paper on your way out. And then, of course, here’s one more opportunity to let us know which product you would like more information on in that form on the right side of your screen. And finally, just a couple of questions, survey questions to fill out if you have a moment. So, again, as mentioned, if you have a question specific to your account or a little bit more technical, as Josh mentioned, reach out to your success account manager. Or if you’re not sure who that is, you can reach out to me and I will put you in touch with the correct person. So one last reminder that you will receive a recording of today’s event in an email from us in about 24 hours from now. So I just want to thank Josh again for the awesome presentation and demo and thank everyone for joining us today. We are going to wrap a few minutes early so everyone enjoy your day. And we look forward to seeing you at one of our upcoming events. So thanks, everyone. And thanks, Josh.

Yep. Thank you all.