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Transcript

Thank you.

Hello everyone. Thanks for joining. We’re going to be getting started in the next few minutes. Today’s session will be focused on content supply chain basics, integrating with AEM, Analytics CGA, and Target for new users. This will be led by Teshia Sims. We’ll be getting started in the next few minutes. We’re letting some of the attendees fill in.

Thank you.

Thank you.

Good morning, everyone. Thanks for joining the session today. Today’s session will be on content supply chain basics, integrating with AEM, Analytics CGA, and ÃÛ¶¹ÊÓƵ Target for new users. We’ll be getting started here in just a few minutes.

Good morning, everyone. Thanks for joining the session. Today’s session will be focused on content supply chain basics, integrating with AEM, Analytics CGA, and ÃÛ¶¹ÊÓƵ Target for new users. Good morning, everyone. I wanted to say thank you and welcome for joining our session today. My name is Jason Mosley, and I work for ÃÛ¶¹ÊÓƵ Field Engineering as a senior customer success strategist, where we focus on helping customers gain value from our ÃÛ¶¹ÊÓƵ solutions through various success accelerators. So I’m going to be kicking off today’s session. Again, thank you for joining us and spending some time with us. Just as a note, the session will be recorded or is being recorded, and a link will be provided and sent out to all of those who have registered. This live webinar is a listen only format, but is intended to be interactive. So as we go through the content today session, feel free to share any questions in the chat or in the Q&A pod. Our team will be looking at those questions, and we’ll also reserve time at the end of the session to answer any questions that have come up. Please note that if there are any questions that we don’t get to during the session, the team will make those notes and follow up to get you an answer. We’ll be sharing a survey at the end of the presentation so that we would love your participation and get your feedback. So that’ll help us shape future sessions that we have today. I’m joined today by our presenter, Teshia Sims. She’s a principal customer success strategist. Teshia is an ÃÛ¶¹ÊÓƵ veteran, 18 years, where she has grown in her expertise in guiding customers to realize value in ÃÛ¶¹ÊÓƵ Experience Platform. Leveraging her expertise and knowledge of content and experiences, she is now extending her focus to advising customers in marketing agility and activation. She takes the collaborative approach in fostering innovation and building teamwork. So now I’d like to turn it over to Teshia to get us started. Thank you so much, Jason. I’m going to go ahead and share my screen.

So essentially today, thank you so much again for joining from wherever you are. So this is meant to be sort of an introductory overview of AEM Analytics and Target and getting those integrated. So if you signed up, you saw what the goals are. But really, this is a learn the essentials. We’re going to talk through sort of what is the what’s the strategic priority for content supply chain? Why does it matter? We’re going to talk through the basics of integration and what the benefits are. And then we’ll kind of talk through an action plan to get started. So before we begin, Jason, would you launch the poll about the first one? And this one is really around like, you know, what are you what’s your role? Like if you if you don’t want to give your title, are you interested in this from a business perspective? Or are you a technical person or are you a creative? So you can you can just fill in. What your functional role is, and that’s fine. No titles if that’s not if you’re not comfortable with that. But really, this will help me kind of understand who’s in the audience, what you’re interested in and how you’re thinking about these solutions working together. So anyone. Love to see whether you’re you’re a marketer. We have a technical manager and system administrator. Architect and AM lead. Are those going into chat right now? Not to the poll? Yes, there are responses from the poll. OK. Not. Why is this? See. Is it OK? Well, let’s just move on. All right, cool. So let’s go on. I mean, I kind of talked through what our goals are. Let’s go ahead and dive into sort of what why we’re talking about this. Right. So we hear a lot about this sort of the demand for content and marketers today are sort of really under the. It’s a it’s a highly pressurized environment to create enough content and campaigns to scale. Right. So personalized campaigns that you have to deliver faster, you have to deliver more efficiently. So really. Digital experiences are now this sort of integral part of how consumers want to do any everything that they have, like work, travel, buying groceries, managing their finances. You know. Literally everything attending concerts or shopping, et cetera. So the strategic imperative is really around how do you connect from. The very beginning, when marketers are coming up with the campaigns all the way through to activation of that campaign and in in throughout the whole process. So the content supply chain is really here to address that. This this question. Right. We want to address the common business problem of all of these disconnected aspects of of an organization or a brand or a company that it’s like from the workflows to the technology to the teams. How do what do we do? So our answer really is to meet the demand. We have the content supply chain from and there’s basically these three main areas. Actually, now it’s four. So on the left hand side, you see workflow and planning. And then you have created production, creation and production and activation and analytics for today’s purposes. We’re really going to be focusing on the marketing agility, activation and analytics, because as you can see, these are the the the logos. I tried to build a little legend to show what we’re going to be talking about. This is the experience cloud. AEM and target and analytics are right over here. This, of course, is Firefly. This is express. So what we’re going to be talking about is the end point where the content has been created or, you know, there’s some variation of it that’s been created. But really what what we want to do with it and how it’s going to flow through, you know, from AEM to target. And where does analytics come into play? And again, this is at a high level. And I certainly don’t want to, you know, go too deep, too fast. But what we’re going to do, what we’re going to go into is sort of like, what is the overview of it? Right. So why? What is the benefit of having these solutions integrated? And it really is to allow for that personalization to happen and to provide you with the opportunity to say, OK, here’s the content. This is what comes through. And what do we actually do with it and how is it performing? So this little architecture is really to illustrate that. So we’re using AEM sites, assets, screens, screens, forms to manage and deliver that the content via experience fragments. Those get exported to target. Which then is put into the personalization payload on either your desktop, your mobile or your screens. From there, because you’ve got analytics that’s collecting and hopefully collecting and analyzing your data, it sends back to analytics where it sends it back to target to give you the results of your tests. Right. So if you’re doing A, B, multivariate, et cetera, then you’re going to be able to say, OK, let’s refine this a little bit more. We’ll talk more about this. But in summary, this integration equips marketers with an end to end solution that aligns content delivery, activation and personalization into a powerful data-driven ecosystem. So I’m going to go ahead and move forward and we’ll talk about the basics. To integrate these solutions, this is the summary. We’re going to dig into a little bit more on each of these, but I kind of wanted to front load this. The summary is basically you need to set up the experience cloud ID, the ECID. And what this does is it unifies the user tracking across your solutions, your solution stack. And then you configure ÃÛ¶¹ÊÓƵ launch so that you’re deploying your tracking tags consistently. This is really important. So you’re not getting duplicates or bad data. You want to make sure that your data tracking is dialed in. And then you’re connecting AEM and analytics for content performance tracking. Then you connect AEM and target so that you can deliver your personalized content via the experience fragments right here. And then the goal, of course, is to set up your segments and share those between analytics and target. And this is actually bidirectional. Let me go into this. Okay. So next, we’ve talked about that. So what is connecting the solutions? Obviously, it is a little bit deeper, but these are kind of step by step. Like, what are you trying to do? How do you do this? We kind of talked through this a little bit, but this goes into a bit more detail. So the ECID service helps unify those user identities across AEM, analytics, and target. Again, super important. We want to make sure that these are tracked consistently and can be leveraged for those personalized experiences. The benefit, of course, is having clean data. And configuring AEM to automatically embed ÃÛ¶¹ÊÓƵ analytics tracking codes is also helpful because you basically want to use your tag management system with ÃÛ¶¹ÊÓƵ launch to manage and deploy those tracking tags for analytics. The context hub or ÃÛ¶¹ÊÓƵ target integration features basically serve personalized content. Using target integration with AEM kind of can help you preview the test personalized content directly into AEM authoring and its environment. And then you can connect analytics and target to share the audience segments and behavioral data. This helps you kind of leverage rich analytics data for more accurate testing. And then, of course, there’s the unified tagging and tracking. Like, again, I don’t want to push around this point so much, but ÃÛ¶¹ÊÓƵ launch kind of is really acts as the central hub for deploying and managing tags across your website or app. It ensures that tracking analytics target or other experience solutions is implemented consistently and your consistent tracking IDs.

Is used to track users across all of the interactions. So this ID ensures that data collected by analytics can be used by target for personalization and that content managed by AEM is aligned with the user behavior. Hold on a second. Let me go off camera for a second.

All right. So this is the other piece of this where we’re leveraging the shared data and assets. AEM is the primary content or can act as the primary content repository for ÃÛ¶¹ÊÓƵ target. But you can also use ÃÛ¶¹ÊÓƵ target. So we’re going to go into a little bit more of a use case later on about using reusable banners or components in AEM that you can deliver variations in the content for specific segments. Audience sharing between analytics and target. This has helped you kind of define which audience segments are based on their user behavior. So if you want to target frequent visitors or you have cart abandoners, those types of behaviors, you can have these segments be directly imported into ÃÛ¶¹ÊÓƵ target for personalized content delivery from analytics. Excuse me. And then target and analytics can also share performance metrics so you can measure the effectiveness of personalized experiences in campaigns. For instance, you can analyze how a variation in target performs using ÃÛ¶¹ÊÓƵ analytics. And as I mentioned kind of earlier, this bidirectional discussion is basically you’re testing and then the data is being collected and processed in analytics. And it shoots it back to target where you can say which test, which variant performed the best. But also you can go into analytics for deeper analysis, which is really great. And this is something that I did not include on the summary side, but this centralized governance workflow helps you kind of understand what is your method for managing the content. Who are you working with to get the content? How is the delivery of the content? How do you collect data? Who’s coming up with campaigns? Right? So in essence, what we want to think is like there’s the solutions working together, but there’s the people that are actually doing the work. And doing the work is really dependent on making sure that all the teams are working together. We’ll talk a little bit about sort of an agile marketing agility and what that looks like to give you something to think about. But a lot of times we focus so much on the solutions that we kind of ignore the people and what they need to be successful. And the other piece of it is setting up the governance policies, right? We want to have the folks that are doing the work have the right permissions and access to the data across the three solutions to make sure that they can do their jobs. I understand locking down data is kind of sometimes really important, but if you’re saying, okay, we want to have this, we want to have a use case. We need somebody from the business, we need somebody from analytics, and we need somebody who’s responsible for the content. How do we get everybody together? And maybe we might need somebody from the technical side. So this kind of approach helps align everybody and get us on the same page. And so once we’ve integrated, what do we do next? We want to start small, right? A, B testing. For example, we’ll get into a little use case a little bit later about just a simple banner. Maybe there’s a sale. Maybe there’s, you know, jeans are on sale. We want to get a lot of them.

And we want to test which variation of the banner works the best. So we’ll dig into that a little bit later. But it also allows us to experiment with the content, right? We get to preview. We get to look at the content directly within the AEM authoring environment. And then we can look at it and say, all right, let’s analyze the performance of the content and the campaigns. And we can use these insights to refine and to improve what the strategies that we’re deploying, right? Let’s go on. And then not to overwhelm, but, you know, it’s really powerful. So thinking beyond the basics, right? Like, you know, the basics are A, B testing. You move on to multivariate. And then you can start to think about automated data flows. You can think about enhanced data-driven personalization strategies. You can think about real-time personalization in AEM, right? You can deliver based on the user interactions tracked by analytics. And then, of course, there’s other deeper use cases that you can go. You don’t have to just stop with A, B testing. It’s not a set it and forget it. Think of it as an evolution of your personalization program. And then everybody’s, the hot topic is AI, right? So with ÃÛ¶¹ÊÓƵ Sensei, we’re able to analyze large sets, data sets in ÃÛ¶¹ÊÓƵ Analytics. And these are for predictive insights, right? Basically automating content recommendations in target based on user preferences and be able to predict what is actually going to work the best. And then, of course, using AI to streamline content tagging, automating some things, you know, adding metadata within AEM. So there’s a lot of things that you can do with the solutions working together and work a little bit faster and more efficiently. And these are, of course, like sort of internal metrics, but that you can also convert to if you’re able to scale and create the content for, you know, hundreds of campaigns. You know, like we just see the Super Bowl was on Sunday, right? Like if you think about Uber Eats and the number of ads that they had with Matthew McConaughey. And I know that’s not a digital per se, but if there are ads that are in support of that for Uber Eats, you can think about all the variations, all of the language, all of the translations needed that need to be generated for that. And that’s just one single campaign. Moving on. All right. So a sample use case. We talked a little bit about this testing the effectiveness of a promotional banner. Right. Let’s talk through the scenario very quickly. If we have a sunglass retailer, they want to promote a seasonal sale using this prominent banner on the right above the fold. And they have two banner designs and they want to say which one will drive the more the most clicks. Right. And conversions. Right. We want it’s 20 percent off or buy one, get off, you know, buy one, get one, you know, half off. So basically the objective is we’re identifying the banner design that results in the highest engagement clicks and whether that increases the sales. So step by step, you’ll have this deck. You’ll say, OK, we want to create the variance in of the banner in a year and then we’ll publish both. Then we’ll set up the test in ÃÛ¶¹ÊÓƵ Target. We’ll define the test and configure variant A and variant B for the target audiences. We’ll split the audiences equally and we’ll specify the success metrics. After that, we’ll say, OK, we’re going to track with ÃÛ¶¹ÊÓƵ Analytics. We’re going to track the user interactions with each banner and the clicks and we’ll analyze that downstream behavior. Right. We’re going to run it and we’re going to analyze the results. We’re going to launch the test. It’s going to be needs to run long enough so that we can gather enough significant data to say, you know, it can’t be just like for a day. It needs to be for a specific time period. And then we’re going to use targets reporting to say this was the winner and we’re going to validate the results with analytics and then we’ll implement that winning variant.

And that’s just one simple use case. But there are other features and functionality that we can use to make sure that we’re getting the results. We’re going to have to have the best quality within target. So thinking beyond that, just a simple A B test, the next evolution could be we want to have product recommendation. Right. So, oh, you like you. We know you like this product. Maybe you’ll like this other thing. Right. And this is something that you can think about as moving beyond the A B test to OK, we have a specific page where we want to have, you know, maybe it’s a information area of our site. And we’ve got you can find the information about how do you trim your dog’s nails? Right. Maybe you’re a pet centered company. Right. And in your section of your. Website, you’ve got informational things about like in videos and things like that, and then on the page you can deploy a targeted spot to have product recommendations feed in. Oh, for this particular dog grooming trim your dog’s nails correctly. Maybe there’s the solutions to trim your dog’s nails. Right. Like maybe the, you know, the. The trimmers or and then maybe there’s other some other pet care products that you can pop in there. And again, this sort of builds on the recommendations that align with the content on your site. And that’s just one example. But obviously we’re creating those product pages with these placeholders for personalized product recommendations right in a.m. We’re configuring and running and saying, OK, this is the customers who bought this also bought this. And it doesn’t have to be on the informational page. It could be in checkout. Right. And then, of course, we’re we’re finally tracking the performance of the different recommendation strategies and we’re refining. We’re saying, OK, what is the most effective? What’s resonating the most? And of course, how would we how would we measure it? Previously, it’s like the number of clicks we want to track directly, say how many how many banners? I mean, how many. Users clicked on this banner versus the other one for this one, it’s like, what is the increase in average order value? Right. Did we see a significant lift in conversion? The revenue was revenue generated by this over this period of time. You know, we’re able to prove that it was a successful strategy. So I, Jason, I know I’ve been talking a little bit. I don’t know if there’s any questions or things that popped up, but as you’re thinking about it, I think we have another poll question around the content. Jason, do you want to pop that one up? Yes, I mean, it launched that one.

This is a question, have you used the following tools before a.m. analytics and CJA or Target or none of the above? Take a few minutes. Looks like we are having 44% using analytics and CJA. 22% on a.m. and Target and 11% none of the above. OK, OK, that’s good to know. We probably should have implemented that poll a little bit earlier. I got excited and kept going. All right. So on the topic of the retail product recommendations or the previous one, the banner, I think there’s a third poll question around. Excuse me, the I think it was the third poll, Jason, that I was interested in, which is if they’re experiencing any sort of challenges within their workflows. Can you pop that one up? Sure.

Even if it takes folks a few minutes to respond. How’s that going? No responses as of yet. How important is delivering personalized content to your current marketing strategy? And what are you hoping to achieve? All right, well, let me let’s go ahead and move forward. So I know we talked a little bit about the use cases and things like that for the last 10, 15 minutes. I’d love to talk through sort of what this agile marketing sample would look like. So it’s end to end use case activation process, right? And because everybody’s kind of new to these solutions and you you I kind of think about like organizing ourselves to to figure out how to work together. Right. So we’ve got folks who are you know, they may be familiar, more familiar with analytics and then not at all with a.m. Maybe they have no experience with Target, but they they know a little bit about a.m. Maybe they don’t know anything. And so it kind of gives us we zoom out and we think about, OK. Regardless of the solution, regardless of your experience, you basically kind of can think about it when from a step by step left to right. You know, what is the use case that we want to come up with? Right. Where we want to align on our customer experience priority.

You know. We want to say this is the priority. This is what we’re going to do. We’re going to say, all right, let’s let’s let’s define it. Let’s develop an action plan. We’re going to confirm that we can measure it and then we’ll say, all right, we want we take it to our leadership. We say this is the use case that we want to implement. Let now let’s go into step two, which is creating it right. So. In agile marketing, they’re called pods, sometimes people call them squads, you know, it’s whether, you know, whatever you want to name yourselves, it’s it’s it’s up to you. This is just one one simple example. And it’s a collaboration that’s between the marketing side or the business side and tech. Right. Because, you know, in some cases you might need a tech developer to to say, yes, this is the spot on the on the product page or the template on the site, which we want to personalize to. We want to export experience fragments to personalize or send some, you know, a banner, whether it’s the A.B. test, whether it’s product recommendation. We want to be able to do this. So we have to say, OK, what assets do we have? Do we need to create them? Do we need to copy them? And then we go into the analytics or the target person and we say, OK, this is the audience that we’re targeting with this particular use case. And then we’ll say, OK, there may be other messages that get put in there. Right. Maybe it’s also there’s going to be SMS messages or. Other channels getting into a leak like deeper, we could say, OK, there’s an entire journey. Right. We can build test experiences for this, depending upon how expansive the use case is. And then, of course, we want to test it and launch it. Right. Obviously, you need to QA. Right. We need to do the end to end testing. We review it. We approve it. We revise it. We fix any bugs and then we launch it. And then in the post deployment analysis, we’re building the use case reporting. This is within CJA. We’re we’re saying, OK, did it do what we wanted it to do? Did we learn anything that perhaps we were surprised by? If it didn’t perform the way we wanted it to perform, why not? And can we diagnose it? So that’s the retrospective. And then moving into it, it’s sort of like that ongoing optimization. It’s like I said, it’s it’s not a set it and forget it. It’s we’re constantly iterating and we’re going to say if there’s optimization strategy meetings, what those look like, who needs to be part of it? And again, it’s it’s this collaboration between your business and your technical. Right. And in some cases, you’re going to have maybe folks that aren’t actually using the tools as much. Maybe they say, well, you know, the marketing, the creative team comes to us with an idea and then it’s our job to implement it. Great. But they also need to be part of it and just say, OK, this is this is the process. This is how we’re going to set it up. This is what we’re going to do. And we’ll come back together and we’ll review it and then say, all right, did we hit our KPIs? Is there an ongoing roadmap for our use cases? And do we need to reprioritize based on other outside events? Like maybe the the executives decide now, no, this is our strategy now. Maybe we need to say there’s a use case that we have to develop to meet that strategy. And whatever it is, you can use this framework to sort of organize yourselves and go forward. And of course.

I’m kind of interested in asking this question, which is sort of like.

Have you seen agile squads? If you could, if you could or do you think about like collaboration with other team members that are perhaps not in your in your. In your role, like, are you currently doing this today? I’d love to see it in the chat. Is there a yes or a no? And Jason, can you let me know if people have seen this? Have they are they interested in this? Are they interested in learning more about this? Love to to get any thoughts. And then I will move on to sort of taking action and then we’ll spend the last bit of this and then we can move on to questions and answers. I know I threw a lot of information at you. You’ll have this deck. But taking action is sort of the key here, right? So the first step is assessing your current state, right? Identify what your key business objectives are. That’s kind of like. Table stakes, right? And you have to assess the current state of your ÃÛ¶¹ÊÓƵ stack. Like are they are they integrated? You know, is am integrated with target is am integrated with analytics. Are you able to share the audience segments between analytics and target for precise targeting? So you need to be able to do that. But then there’s the strategy level, which is what are your main business objectives, right? Have those been documented? Is there a personalization program? What does that look like? Who is the keeper of it, right? We talked a bit about organizing ourselves, right? What’s the current operating model? Are you doing agile marketing? Are you doing some kind of marketing? Are you doing something else or are you working in a way that’s kind of like a little bit siloed? And if you are. Is it working for you right and then you need to say OK? We have these roles. Maybe we have. We’ve got someone who’s managing the content, but maybe we don’t have somebody who’s on the target side. What do we need right and sort of assessing well do we have the right roles defined and if we don’t what are they? And are we talking to each other? The next step is to really prioritize your findings, right? Like what’s your action plan? Do you have to address some needed items like is there configuration connection items that you need to say OK? Yeah, this is number one. We need to do that. And then I always try to recommend folks to take a look at your creative process. Take a look at how experience fragments are being created and that’s usually within the content operations folks like what are they doing? Are they are you are they are you able to reuse the content or is it like we’re always creating a brand new version of it? And if that is the case. There may be a more efficient way to do that right to say OK and if you look at your the content that’s being created in the variations. It comes down to your governance right like what’s the not only how is it being created, but how is it is it can you find them? What’s the naming convention? Are there automated workflows that sort of help streamline the review and approval of it right? We talked a lot about organizing ourselves and operating model, but this is a super key thing which is helping support the learning and development of the teams to use the solutions in a way that is doesn’t drive us crazy that you know where we know what we’re doing. We know what our roles are we know who to go for two for help and we know. We don’t know right so we want to say this is the operating model if we go back to that previous agile marketing flow. What does that look like? Do we do we does that match with what we want to do or is there something else right like just figuring that out and tweaking it? And then of course the middle one is identifying and prioritizing use cases that drive value right like we don’t want to like start just doing stuff just to do stuff. We want to do stuff that engages our customers. We want to be able to say all right we want to be able to measure we want to know that it’s going to add value to their experiences and we want to know our audiences right we want to be able to test. And learn. And then finally once we get that down. Then expand and execute more right define more personalization use cases continue to test and optimize. And then keep making sure that the team is moving with you right it’s it’s one thing to say OK this is our operating model but maybe the operating model. Two months ago has to evolve a little bit more you know maybe role clarity making sure that people have the skills needed for their specific role or maybe they’re interested in some other aspect of this. This process right like sort of saying what is their role do they have what they need. And if they don’t let’s let’s have a plan to do that and then sharing right it’s like once you become experts share it you know there’s the idea of apprenticeship. You know bringing other people into the fold and sort of sharing what you know is really great because then you can sort of expand on your ideas and scale for the future right so we’re. We’re iterating were implementing learning is based on the insights that we find and then at the end of the day we want to make sure that what we’re doing is efficient we’re not driving ourselves crazy but that we can scale to meet that marketing demand at the very beginning. So I know that was a lot. I really appreciate everybody’s time and attention. And I don’t know if there are any questions but I appreciate everyone. Joining us today Jason are there any questions in chat or comments yeah there there are a couple of questions as we get into the QA session I’m going to go ahead and launch that a quick two two question poll. Just to get your feedback on on session and that will help us with any future sessions so if you would please give us your feedback I’m going to go ahead and launch that there are a couple of questions. The first question is how can I identify inefficiencies in the current in my current content supply chain. How can I identify inefficiencies in my current. Content supply chain. Well okay so that’s that’s an awesome question so the.

The first the first step is really like getting into the assessment right if we think about it we want to like audit what our current workflows are and that what that does it helps us kind of identify the bottlenecks or repetitive manual tasks. Or you know if there is a delay in the content delivery. I think with a we’ve got.

Ways to to understand if there are inefficiencies but you can look at like how long does it take to do something right within your content supply chain if it takes weeks to deploy a campaign that it might actually should only take two days. You can look at time like overtime like actual number of weeks you can look at.

If you identify inefficiencies through. Review and approval right some folks use email they’re not necessarily leveraging the workflows within a.m. to. Kick off review and approval workflows and say yeah this person is responsible for reviewing this and approving it. Let’s make sure that that’s implemented and it’s really whether the campaigns are are being launched in a timely manner as well so there’s a lot of different factors but that’s a great question thanks Jason any others. Yeah, another question is is how does ÃÛ¶¹ÊÓƵ target determine which content to show to different audiences? And I can help with that one. Yeah, I mean, essentially it’s going to depend on the rules and targeting that you have in place within that activity set up within target. So that’s something that you would define in your planning of the activity and it is based on those rules. It’s going to make that decision.

Yeah, thanks Katie. I was going to talk about rules based targeting and there are like within. You know audience segments defined in analytics those types of things and then of course there’s a I based machine learning Katie Katie I don’t know if you want to talk to that at all but that’s that was a good question as well. Yeah, and so all of those can, you know, help to guide how target makes the decision but it’s really just going to be based on the features you’re leveraging the location that you’ve pointed it to for the activity, and then just kind of the rules that you have around that use case. So I think if you have, you know, some more specific questions around that I would say reach out to ÃÛ¶¹ÊÓƵ account account team to dig in further because it’s really going to depend on what you’ve set up and what your goal is.

And one last one last question. How long does it typically take to set up an integrated content supply chain for small or medium sized business? How long does it typically take? That’s a great question. And it really depends on the complexity. So it can take a few weeks, it could take a couple months, I think it really depends on your ability to define, you know, if you think, you know, MVP, right, minimal viable product. If you’re keeping it simple, and you’re saying this is what we want to do, then you can you can move a little bit faster. I’ve seen, you know, depending upon your culture as well, right? Like if you if you decide that we’re, you know, it’s like, no, no, no, we want to take a really sincere look at it and and examine and be analytical. And maybe we we need to think about it a little bit more. It’s dependent upon that, as well. But I think keeping it simple, you can move a bit faster and, you know, iterate and evolve it over time. That was a great question.

Any any other questions? Thoughts? Not seeing any other questions.

OK, OK. Right. Thanks. No, no, go ahead. No, I was just going to say thanks everyone for joining the session today. Just hope hopefully this information has been helpful and we’ll see you in other future webinars. But Tasha, if you had any last comments. No, no, I but this was fun. I appreciate the everybody’s. Time and attention and I hope you have the rest of your nice rest of your day. Thanks everyone. Thank you.