Content Supply Chain Basics: Integrating AEM, Analytics/CJA, and ÃÛ¶¹ÊÓƵ Target for New Users
Up-Level Your Content Supply chain knowledge. By integrating AEM, Analytics/CJA, and Target businesses can enhance Personalization and Targeting by delivering Tailored Experiences through Behavioral Targeting.
Key Discussion Points
- Introduction to AEM Authoring
- Using Editable Templates
- Working with Core Components
- Publishing and Approving Pages
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 an analytics, CJA and target for new users. This will be led by Tasha Sams. We’ll be getting started in the next few minutes. We’re learning that some of the attendees I feel in.
Good morning everyone. Thanks for joining the session today. Today’s session will be on content supply chain basics with the integrating with analytics CJA and ÃÛ¶¹ÊÓƵ Target for new users. We’ll be getting started here in just a few minutes.
Good morning everyone. I wanted to say thank you and welcome for for joining our session today.
My name is Jason Mosley, and I work for ÃÛ¶¹ÊÓƵ Field Service 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 in a link will be provided and sent out to all of those who are registered. This is a 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 QA 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.
One of them, I’m joined today by our presenter, Tasha Sims. She’s a principal customer success strategist. Tisha 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’s now extending her focus to advising customers in marketing agility in activation. She takes a collaborative approach in fostering innovation and building teamwork. So now I’d like to turn it over to Tasha 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 for joining from wherever you are. So this this is meant to be sort of an introductory, like overview of, 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 but before we begin, Jason, would you launch the poll about the first one? And this one is really around, like, you know, what are your what’s your role like if you if you don’t want to be 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 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, you know, who’s in the audience, what you’re interested in, and you know how you’re thinking about these solutions working together.
So anyone love to see, you know, whether you’re you’re a marketer.
We have, technical manager and system administrator, architect and am lead.
Are those going into the chat right now? Not into the poll? Yes. They’re responses from the poll. Okay, not.
Oh, why is this? See? Is it okay? Well, let’s just move on. All right. Cool. So let’s go on. I mean, I kind of talk through what our goals are. Let’s go ahead and dive into sort of. What? Why we’re talking about this. Right. So we we hear a lot about this sort of the, 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 and everything that they, you know, have, like work, travel, buying groceries, managing their finances, you know, literally everything, attending concerts or shopping, etc… So the strategic imperative is really around how do you connect, you know, 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 to 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 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, to show what we’re going to be talking about. This is the experience cloud. And 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 Am 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, we’re going to go into is sort of like what is the overview of it. Right? So why 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, okay, 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 to illustrate that. So we’re using a site’s 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 that and hopefully collecting and analyzing your data, it sends it back to analytics where it sends it back to target to give you the results of your tests. Right. So if you’re doing AB, multivariate, etc., then you’re going to be able to say, okay, 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. There’s this is the summary. There’s no 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 id the ID and this 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, you’re deploying your tracking tags consistently. This is really important. So you’re not getting duplicates or, you know, bad data. You want to make sure that your data tracking is dialed in. And then you’re connecting and, and analytics for content performance tracking.
Then you connect Am 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 this is actually bi directional.
Let me go to this okay. So next so we’ve talked about that. So what is connecting the solutions. Obviously there’s you know 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 in to a bit more detail. So how to how do you know the ID service helps unify those user identities across an analytics and target? Again, super important. We want to make sure that these are tracked consistently and can be leveraged for this personalized experiences. The benefit of course is having clean data, and configuring Am to automatically embed ÃÛ¶¹ÊÓƵ Analytics tracking codes is also, helpful because it’s you’re 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 sort of personalized content, using target integration with and kind of can help you preview the test, personalize content directly into an authoring and it’s 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 it 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 Am is aligned with the user behavior. Hold on a second. Let me go off camera for a second.
All right. So this is this is the other piece of this where we’re we’re leveraging the shared data and assets. Am 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, you know, using reusable banners or, you know, components in a, that you can deliver variations in the content, for specific segments, audience sharing between analytics and target. This is helps 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 abandoned ers, those types of behaviors, you can have these segments be directly imported into ÃÛ¶¹ÊÓƵ Target for personalized content delivery from and 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, you know, this, this bidirectional discussion is basically you’re testing. And then the data is being collected in 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 this is something that I did not include on the summary slide. But this centralized governance workflow, helps you kind of understand what is your method for managing the content, right? Who or who’s who are you working with to get the content? How or how is the delivery of the content? Who who’s how do you collect data? Who’s coming up with campaigns? Right. So in in essence, what we want to think is like there’s the, there’s this the solutions working together, but there’s the people that are actually doing the work and doing the work is, really dependent on, on making sure that all the teams are working together. We’ll talk a little bit about sort of an agile, you know, marketing agility and what that looks like to give you something to think about. But a lot, a lot of times we, we focus so much on the solutions that we, we can 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, the, the folks that are doing the work have the right permissions and access to the data across the solution. The three solutions to make sure that they can do their jobs. Right. It’s I understand, you know, locking down data is kind of sometimes really important. But if you’re saying, okay, we want to have this, we want to we want to have a use case. It’s to and we, 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 it? How do we get everybody together? And maybe we might need somebody from the technical side.
Now, 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? AB testing. For example, we’ll get into a little use case a little bit later about you know, just a simple banner. You know, maybe there’s a sale, maybe there’s, you know, jeans are on sale. We want to get a lot of them.
And, and we want to test which variation of the banner works the best. So we’ll, we’ll dig into that a little bit later. But it also allows us to, you know, experiment with the content. Right? We get to preview, we get to look at the, the content directly within the a am 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 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 AB 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 Em, 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, if you just you don’t have to just stop with a B testing. It’s not a set it and forget it. It’s a think of it as a, an evolution of your, personalization program.
And then everybody’s the hot topic is AI, right. So with ÃÛ¶¹ÊÓƵ Sensei, we’re 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 a, so there’s a lot of things that you can do with the solutions working together. And, 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 saw the Super Bowl was on Sunday, right? Like if you think about Uber Eats and the 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 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 them more the most clicks. Right. And conversions. Right. We want it’s 20% off or buy one get 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 will say, okay, 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 AB test in ÃÛ¶¹ÊÓƵ Target. We’ll define the test and configure our 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 okay we’re going to track with ÃÛ¶¹ÊÓƵ Analytics. We’re going to track the user interactions with each banner. And the watcher 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, we can’t 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 target’s 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 within target. So thinking beyond that, just a simple AB test. The next evolution could be we want to have product recommender. Right. So oh you like you we know you you like this product. Maybe you’ll like this other thing. Right. So this is something that, you can think about as moving beyond the AB test to. Okay, we have, a specific page where, we want to have, you know, maybe it’s an information area of our site and we’ve got, you can find the information about, you know, how do you trim your dog’s nails, right? Maybe your, a pet centered company. Right. And in your section of your website, you’ve got informational things about, like, and videos and things like that. And then on the page you can deploy a, a targeted spot to have product recommendations feed in. Oh, for this particular, you know, dog grooming, trim your dog’s nails correctly. Maybe there’s the 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 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 am, we’re configuring and running and, and saying, okay, 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, okay, 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 lifting 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. Let me launch that one.
This is a question that I have. You use the following tools before I am analytics on CJA or target, or none of the above.
Let’s take a few minutes here.
Looks like we are having 44% using analytics and CJA, 22% on Am and target in 11%. None of the above. Okay, okay, that’s good to know. You probably should have implemented that poll a little bit earlier. I got excited and kept going. All right. So any 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 kind of interested in, which is, if they’re experiencing any sort of, challenges within their workflows. Okay. Can you pop that one up? Sure.
Even if folks, you manage to respond.
How’s that going? Since, no responses as of yet is how important is delivering personalized content to your current marketing strategy? What are you hoping to achieve? All right, well, let 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 ten, 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 activity 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 em. Maybe they have no experience with target, but they they know a little bit about em. Maybe they don’t know anything. And so it kind of gives us we zoom out and we think about, okay, 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.
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, a developer to to say, yes, this is the spot on the, on the, 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, okay, 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, okay, this is the audience that we’re targeting with this particular, use case. And then we’ll say, okay, 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 like deeper, we could say, okay, there’s an entire journey, right? We could 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 a 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 okay, 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 and 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 and it’s our job to implement it. Great. But they also need to be part of it and just say, okay, 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 the executives decide, no, no, this is our strategy. Now, maybe we need to say there’s a use case that we have to develop to 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, 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 or 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 is 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’s the keeper of it? Right. We talked a bit about organizing ourselves. Right. What’s the current operating model? Are you doing agile marketing or are you doing something else? Or are you working in a way that’s kind of like, a little bit siloed and if if you are, is it working for you? Right. And then you need to say, okay, we have these roles, maybe we have.
We’ve got, someone who 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, 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, okay, yeah, this is number one. We need to do that. And then I always try to recommend folks to, to like 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 not 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, okay. 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 or 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 but this 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, we’re we know what we’re doing. We know what our roles are, we know who to go to for help. And we know, what 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 what 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, 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 and 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, okay, 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 or 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 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, we’re implementing learnings 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. Yeah, there there are a couple of questions as we get into the QA session. I’m going to go ahead and enlarge that. A quick two two question poll. Just to get your feedback on the on, session. And that’ll help us with any future session. So if you would please give us your feedback, I’m gonna go ahead and launch that, there are a couple of questions. The first question is, 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, you know, 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 over time, 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 em 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 then based on those rules, it’s going to make that decisioning.
Yeah I think thanks Katie I yeah I was going to talk about rules based targeting. And there are like within, you know, audience segments defined in analytics, that those types of things. And then of course, there’s AI based machine learning. 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 targeting makes the decision. But it’s really just going to be based on, the features or 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 your 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? I mean. That’s 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. Minimum 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 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. And seeing any other questions.
Okay. Okay. All right. Thank you. I request. You’re going. 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 in other future webinars. But Tasha, if you had any lasting 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 a nice rest of your day. Thanks, everyone. Thank you.
Key takeaways
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Integration Benefits Integrating ÃÛ¶¹ÊÓƵ Experience Manager (AEM), ÃÛ¶¹ÊÓƵ Analytics, and ÃÛ¶¹ÊÓƵ Target allows for end-to-end content delivery, activation, and personalization, creating a powerful data-driven ecosystem. ​
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Steps for Integration Key steps include setting up the Experience Cloud ID, configuring ÃÛ¶¹ÊÓƵ Launch, connecting AEM and Target, and sharing audience segments between Analytics and Target.
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Personalization and Testing The integration enables personalized content delivery and testing (e.g., A/B testing, multivariate testing) to optimize user engagement and conversions.
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Agile Marketing Approach Emphasized the importance of an agile marketing approach, involving collaboration between business and technical teams to efficiently manage and optimize content and campaigns.
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Use Cases Provided examples of use cases such as testing promotional banners and product recommendations to illustrate practical applications of the integrated solutions.
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Governance and Workflow Highlighted the need for centralized governance and streamlined workflows to ensure efficient content creation, approval, and delivery processes.
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Ongoing Optimization Stressed the importance of continuous testing, learning, and optimization to improve personalization strategies and meet marketing demands.
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AI and Automation Mentioned the potential of using AI (ÃÛ¶¹ÊÓƵ Sensei) for predictive insights, content recommendations, and automating content tagging to enhance efficiency.