Hello, everyone, and thank you for joining us today for the Marketing Cloud Spring '25 Release panel. My name is Lisa- Marie Long, and I am so glad to see you all again, or maybe for the first time, for another release webinar. Now, given most of us today are based in Australia, I'd like to start with an acknowledgment of country. We would like to begin by acknowledging the traditional owners of the land on which we meet today. We recognize their continuing connection to land, waters, and culture, and we pay our respects to elders past and present. Now, before we kick off the release highlights, we do want to share this regarding forward-looking statements, as some features that we'll be covering today in the presentation may still be pending rollout. Now, you've already met me, but I'm also joined today by my fellow Marketing Cloud Solution Engineers, Nicholas Manojlovic and Nikki Hong, who are our product experts and will be taking you through this latest release. If you do have any questions along the way, please do feel free to use the question widget in the console to submit them, because we are also joined behind the scenes today by Ivan Dobrich and Rainier Thomas, who are ready to take your questions throughout this webinar. Okie doke. You've gotten to know us, but we'd love to get to know you. We've got hundreds of attendees on the call today. What we would really like to know is whether you've been here before, whether we've seen you before, or whether this is your first time. You'll see there's a poll widget in your console today. Using that, let us know. I'll give everyone a minute to do that. Let us know. You never miss out, or it's your first time here today. I'm going to close the poll in three, two, one. Oh, OK. Yeah, super even split of new faces. Welcome back to us today. That's awesome. Some of you, or half of you, will know kind of what you're in store for in terms of the flow and the structure of this webinar today, and for some of you it will be the first time. Yeah, looking forward to going through that with you. We do have a jam-packed agenda today. You'll be sticking with me for a little while longer while I give you the rundown on how releases work, just for the half of you, or almost half of you, that haven't been here before. I will kick it over to my other colleagues to not only talk about the new features to products that you might already have today, but we'll also walk through our latest and greatest new product releases that you've no doubt been seeing throughout events like Dreamforce and World Tour. As always, we will round out at the end with some Q&A from the chat. Feel free to get those questions rolling in, and we'll cover some of them live at the end as well. A lot of you already know how our releases at Salesforce work. For anyone new joining today, Marketing Cloud releases happen three times a year. Once a release kicks off, these features will filter into your accounts over the course of about three weeks, depending on what stack your instance is on. Now, our last release took place in October. Today, we're covering our Spring 2025 release that spanned across January and February. That means a lot of the features that you're about to see today are already live in your accounts now. We'll also be covering, as I said, a few more exciting updates that we've only just announced in the last week. Super hot off the press today. Here at Salesforce, we love to innovate, ha ha ha ha, and it's the reason we have webinars like this, right, to run through all the updates every few months, because there's just so much to tell you all about. Before we give you the rundown, we just want to make sure and check in with how you're all feeling about what Marketing Cloud actually is. Let us know, how well do you know the different products under the Salesforce Marketing Cloud umbrella? You've got A, I'm a rock star; B, yeah, like, I know it heaps, but you know still more to go; C, I know a few, but you know still room to learn. Then last is Engagement Advanced Personalized Cloud Hoop. Feel free to select that option if you're feeling a little bit... There's no judgment here as well. Just let us know how confident you're feeling about everything that sits under the marketing umbrella. All right, closing the poll. Get those answers in. All right, OK. Predominantly, we're sitting in the middle, which I think is fairly expected. OK, so familiar or know a few, still room to learn, love that we have our 3.8% rock stars. You guys are probably the ones we're going to point to to help everyone else. Then we've got 15% or 15.4% who are a little bit uncertain. For those of you who aren't sure, that's not to worry, because I'm about to give you a bit of a rundown, a summary of what comes under the umbrella today, so that hopefully you can all walk away as rock stars by the end of this webinar. All right, like I said, before we show you all the awesome innovation, this is the last thing I'm going to cover before I hand over to my colleagues. We want to make sure that we break down exactly what we mean when we say Marketing Cloud. At Salesforce, we invest a lot into R&D. Our solutions are continuously evolving. That is why solution engineers like myself and the rest of our panel are here to stay on top of the innovation and help map the right ones to your business objectives. As it stands today, Marketing Cloud is made up of the modules that you see on the screen now. We have Engagement, Account Engagement, Growth, and Advanced, for omnichannel automated B2C and B2B messaging at scale. We have Agentf orce, where we have built in AI-driven agents to support marketers to create and customize campaigns and personalize the customer experience and more. We have Personalization, and that is for our hypergranular insights into customer behavior that allow for that one-to-one personalized or tailored experience. Intelligence for analytics and media optimization, we talked about that a little bit today, spoiler alert. Loyalty Management and Referral Marketing for loyalty programs, rewards, and creating customer advocacy. Finally, underpinning all of this is Data Cloud for scaled profile and data unification, which is what allows for that true 360-degree view of a customer. Now, your business might have some or even all of these switched on. Today, we'll be focusing on all the improvements we've made across the solution suite. If you do look in the resource library widget in your console, you'll see a link for the full release notes across all of these products on the screen, with everything that we're not able to cover off in the time we have today when our highlights are real today. Now, without further ado, I will hand over to Nicholas to go over our first big update, the launch of Marketing Cloud Growth and Advanced Editions. Thanks very much, LM. Yes, it is an exciting time. Those of you who are lucky enough to be at Salesforce World Tour in Sydney, you might have heard about this, but there is a new product on the block. It is Marketing Cloud Growth and Advanced Editions. What's going on here? It is Marketing Cloud Growth and Advanced Editions, marketing automation built on Data Cloud, which creates visibility across marketing, sales, service, commerce, effectively allowing everyone to work together in one place to help you close deals and increase revenue faster. Now, because it's built on Data Cloud, small teams can organize data from all those different functions: marketing, sales, service, et cetera, and help you personalize your interactions with customers. It makes it easier for you to tie all your efforts back into revenue. Now, growing businesses can leverage essentially enterprise-grade predictive AI to surface insights about customers. You can use generative AI to help deliver campaigns, segments, emails, effectively helping you get your content out faster than ever before. Some of the channels that have launched with the tool include SMS. With a Unified Conversation SMS, in fact, it's effectively a way you can deliver a cohesive experience across your different departments. For example, your marketing and sales teams can use a single SMS number to engage in a two-way dialogue across the customer experience. For example, you as the marketing team might send out a promotional message, and your customer can then go ahead and carry out a self-service transaction with a chatbot or be connected to a service agent, all within that singular SMS conversation. This allows you to have a really connected experience. Your one-way promotions essentially turn into conversational engagement opportunities, whether that's through self-service, purchasing, booking, or connecting with a live agent for support. As I mentioned, it's built upon Data Cloud. You're using that singular data foundation, allowing your teams to connect those channels in those departments. There's a really smooth experience for all of your customers. I'll move on here. Of course, we've also got another channel here, which is, in addition to the conversational SMS experience, we've got WhatsApp as a channel. This allows you to enhance the customer experience for WhatsApp users. It allows your marketing users to target their customers in the areas where they're most likely to engage. Like other channels supported with Growth Edition, these messages support rich personalization and dynamic delivery. We'll move on. There's plenty here, by the way. I should give you a bit of a warning. There's quite a few features and functionality to walk through. We'll stay on the SMS theme for a second, though. We can also go ahead and use keywords to go ahead and create triggered responses. For example, if someone replies yes or no, you can go ahead and use that to create a decision split within your Salesforce flow to further someone through the customer journey or update their customer profile. Another exciting piece is cross-object merge fields. This allows you as a marketer to personalize your messages based on custom objects and create custom strings that are related to the contact record. It might include things like product purchases or marketing actions that have been taken, the service case record status. All of that can be merged into your communications. This is powered by Data Graphs in Data Cloud. Of course, we've got people scoring. There is a traditional lead scoring and grading mix here. You can go ahead and capture things like engagement, so how interested a person is in your product, or fit. With out-of-the-box rules, you can improve your time to value by only editing the rules that you need to customize. We've also got path experiments. This allows you to go ahead and test your journeys within a Salesforce flow. You can assign individuals down different paths, ensuring you've got unbiased results. You can go ahead and understand how your customers are moving through those different paths when testing journeys, and so on and so forth, and really optimize your customer journeys. A big piece here, though, which is in beta at the moment, is the Agentforce Campaign Designer. With this, you can go ahead and edit and refine your campaign strategy, essentially create a multi-channel flow and even content from within a single workflow. The key point here is that your campaign can be created, which includes up to three activities across email and SMS, and there are more channels coming. Essentially, you can configure this using clicks, no code required. You are able to go ahead and essentially move through a particular workflow and on the other side have essentially the scaffold or the content, in fact, of a campaign ready to go. Again, a really fantastic time saver for busy marketing teams. A couple of small things now. We have recapture in your form fields and the ability to capture country codes. We've got Digital Wallet for messaging, which allows you to understand how much sending volume you're using and how you're consuming your credits. If you need more information, of course, you'll also get a monthly usage statement emailed to your primary billing contact. We've got Flow Exit Rules. This is an ability for you to create criteria for when an individual should be removed from a particular flow. For example, if a customer has made a complaint, you might choose to no longer include them in an ongoing customer journey. That's a bit of a crash course in terms of, oh, sorry, there's a couple more things here. We've got Web Tracking. We've got the ability to go ahead and understand how your customers are interacting with your pricing pages, website, and more. You can use this, of course, for your scoring, your segmentation, and reporting. We have Workplace Sharing. This is the idea that all of your assets can be shared across all the different marketers and different departments that are using the Salesforce products within your team. Here we are. There is a bit of a crash course in Marketing Cloud Growth Edition and Advanced Edition. What I'll do now is pass on to my colleague, Nikki. She's going to walk us through some of the other new exciting pieces coming up. Awesome. Thanks so much, Nicholas. How exciting is the new update to our Marketing Cloud stack? Now, from here, we know that you face questions of all kinds at work. These questions could be strategic questions about the future, or they could also be tactical questions around how do we actually get the job done. Now, what we're going to do, we're going to bring up some of these questions and discuss how different features that are rolling out in the Spring 2025 release can help your teams find the right answer for you. As we talk through these questions, we'll also walk through a couple of demonstrations. With that, let's get started. Starting off, how can I better optimize my ad spend? We are really, really excited to also announce the release of Marketing Intelligence. This is reporting that's built for marketers natively on the Salesforce platform. We know that marketers use a lot of different technologies to engage with customers. Our latest Salesforce State of the Marketing report says that companies use about nine on average. In saying that, though, within each of these nine, we might actually have something like 10 different logins by business units, regions, and so forth. What that means is that we're collecting a lot of data from all types of sources. This could be data that's related to transactions, mobile apps, your website, customer service, loyalty, and even really granular data like those interactive tools like calculators and subscriptions and more. As we know, collecting and accessing data are two completely different things. Another challenge is actually being able to bring all of that data together that we want to understand so that we can see our performance and then, off the back of that, tailor our marketing efforts. In fact, only 31% of marketers are fully satisfied with their ability to unify customer data sources. Most of the customers that I speak with require support from IT to connect the data sources that our marketing teams need. IT teams are always backlogged, so we have to wait or try and do it ourselves, which is manual as well as time-consuming. That is why I am really excited to announce our first feature where we can actually help solve this challenge with data pipelines. These data pipelines automatically ingest first and third-party data from any source at all levels of granularity into Data Cloud using its pre-built API connector library, as well as custom API connector too. Not just that, though. Not only does it ingest it, it also maintains those connections. As we all know, data streams have to be constantly maintained. Let's say, for example, if Facebook Ads changes something with its ad connector, your ad connector is not going to break so that you never lose access to the data that you need. What also makes this unique is that all of Marketing Intelligence's connectors are pre-mapped into our data model to streamline that data normalization. Marketing Intelligence's data model is actually pre-built with common marketing channels. That includes web, ad, email, and search so that all of your raw data—that means the different metrics and the dimensions—from any channels and any data sources are going to be instantly normalized so that they're actually set up correctly for reporting and are going to be queryable for further analysis. Of course, this isn't a one-time process that's set and done. You can continue to add more data channels as well as sources. As your business becomes more complex, our model can actually scale to grow with you. Of course, because Marketing Intelligence is built on the Salesforce platform, it's also going to seamlessly integrate all of your marketing data with the rest of your data in Data Cloud. Most of that being business data, of course. That means that most importantly, you can measure the impact of your spend on the KPIs that matter the most to your business. Moving on to the next release. Of course, marketing data does not have all the dimensions that you want to analyze. What also makes our data pipelines unique is that within the process of ingesting and harmonizing your marketing data, we are also using artificial intelligence to enrich it with additional business and first-party data from Data Cloud. That means that you can have more data available to you. You can use AI to automatically identify and extract similar attributes in marketing data. That is where the patterns piece comes in. It can also recommend new dimensions, and that is the data enrichments piece. That you can then generate additional data fields and context that's going to feed back into the semantic model so that it can be queried for future analysis and insights. Data patterns and enrichment is improving the quality and scope of analysis. How does it actually work, though? For example, artificial intelligence can take raw data about, let's say, cars and then recommend new classifications such as the type of car. That could be something like a van, a truck, or a convertible. Or it could also be this specific model. If it's an XC90 or an XC60 and so forth. This, again, is creating additional fields of data that feed into the data model itself and then can be used to produce relevant marketing insights. Okay. Now, let's take a look at how you can stay one step ahead with an at-the-glance view of your program health, leveraging AI again and those generated campaign summaries. You can see your campaign performance like channel, metrics, as well as goal insights so that you can have an instant view of program health. You'll know exactly where it is that you need to be focusing your attention. You can see how you're doing towards your goals. As it stands today, this benchmark is set against industry benchmarks, but we do plan to let you customize this in the future. Those goals could be things like return on ad spend and click-through rate. On top of that, where you might be lagging behind, you can also adjust your spend to where you'll see the highest return. Really, the best part is that AI is going to be doing the work for you. AI can review all of your campaign performance across channels in real time and surface up performance of all your cross-channel campaigns all in one single place. That means that you don't have to go between logins anymore or cobble together your performance. On top of that, we've also released goal planning as well as tracking. That means that you can see how each marketing tactic is tracking to hitting your targets. That could be something like revenue, web conversions, your bounce rates, click-through rates, and more. We also surface campaign performance by industry-specific KPIs aligned to your goals so that you can see how you're doing versus actuals and historical performance so that you can take into accountability things like seasonality and other factors too. We're also going to be rolling out cross-channel attribution reporting and tracking. I know this is going to be really exciting for a lot of the marketers on the call because that means that you can now understand every single marketing touchpoint and how it actually contributed to reaching your business goals. Now, you're going to be able to see how your campaign spend impacts revenue through both first as well as last touch models. With a connector between the campaign data as well as your CRM data, you'll know exactly which touchpoints were seen by the end user. To make it even easier for our marketers, I'm also really excited to announce our Paid Media Optimization Agent. This is an agent that works hand in hand with you to analyze your campaign KPIs while also alerting you of any sort of underperforming advertising. Not just that, though. You can also see recommended optimizations so that you get more return for your buck. Finally, the agent will also pause those underperforming campaigns so that you can reallocate to a higher-performing ad. Okay. We've covered a fair bit about marketing intelligence. Now, let's really bring it to life with a demonstration. Welcome to Paid Media Agent, found in the new Marketing Intelligence app. The Paid Media Agent optimizes cross-channel campaigns with real-time insights, flags underperforming ads, and offers actionable recommendations. The marketer begins their day by reviewing the Marketing Intelligence homepage, which provides a real-time overview of their campaign performance. Now, inside the campaign summary, they notice that their campaign performance is rated low. To diagnose the issue, they want to identify underperforming ads that are dragging down the overall performance. To take action, the marketer clicks on Optimize Campaigns, which opens the agent panel with cross-channel optimization recommendations. The agent prompts the user to select an objective to optimize. Let's choose Engagement. Based on the CPE metric and the engagement rate, which are key indicators for engagement campaigns, the agent detects 10 low cross-channel performing ads. By clicking on View Details, the marketer can access a detailed list of the underperforming ads. The marketer can click on View in Ads Manager and be redirected to the channel's ad management interfaces to manually pause the ads. They can click on Pause to activate the pause recommendations of the selected ads directly from the Marketing Intelligence app. After completing this action, the agent prompts the user to create goals to track the optimized metrics and updates. Let's set a goal. The marketer can track changes and campaign improvements. After creating the goals, the marketer can optimize additional objectives to ensure their campaigns perform at peak efficiency. Thank you for joining this walkthrough of the Marketing Intelligence Paid Media Agent, and stay tuned for what's coming next. Amazing. I hope that added some color to our really exciting rollout of Marketing Intelligence. Now, I'm going to go ahead and hand over back to Nicholas so that he can continue on with our features. Thanks, Nikki. Yeah, let's take a quick look here then at this particular question. How can AI agents help your team today? The good news is we've got recommendations and Salesforce Personalization now available as a standard Agentforce action in Agent Builder. With this action, your agents can access real-time personalized product recommendations based on specific objectives. This allows your agents to create individual experiences that will drive meaningful results for your customers. Integrating this personalization seamlessly in an AI-driven customer experience means that your agents essentially tailor every touchpoint to better meet the needs of customers. You're going to end up with, I think, more engaging and effective interaction, ultimately enhancing customer satisfaction and loyalty. Let's take a look at how it works in practice. What we'll do is we'll have a quick little demo, and we'll get to that right now. Thanks. Here we are on the Northern Trail Outfitters website, a retailer that sells outdoor gear. We are going to see how agents can deepen the personalization of a customer's experience online. I'll go ahead and, just like any other consumer, start browsing for various products that I'm interested in. I'll go ahead and look up some particular jackets. I like the look of this particular piece, so I'll click on it. One of the things that we'll notice is, apart from obviously the description of this particular product, we've got a recommendation panel. What's going on here is Salesforce Personalization is saying, "Well, you are interested in these particular jackets. Maybe these other items would also be of use." We can also notice that when we return back to our Northern Trail Outfitters website, and this might happen on a subsequent session, we can see that the banner has now been personalized for items that I've previously been looking for. The main part of the demo I wanted to show you today is our section on using Agentforce. Now, Agentforce, as you know, is a way for autonomous agents to go ahead and make particular recommendations or take autonomous actions that really take into account our own personal profiles, customer profiles. In this case, as a user of the website, what I might be doing is asking something like, "I am heading off on a trip soon. I need some new boots. Any recommendations?" What Salesforce will do, or what Agentforce will do, is go ahead and make a recommendation based upon all the products that I've got in my catalog. You can see that previously, whilst I've been looking at men's clothing, it's gone ahead and assumed that I'm also interested in men's boots as well. The reason why it does this is obviously it's taking a look at my profile before it makes this particular recommendation. Now, this is a really fantastic way of introducing digital labor onto our website. It's something we're really excited about here today. Great. I hope you enjoyed that. All right. Let me throw back here to Nikki to continue with a few more updates for you. Thanks, Nicholas. That was one of the agents that we've covered. The next agent that we want to talk about today can be found in Loyalty Management. Agentforce can help you create more engaging loyalty programs by continuously monitoring promotions and recommending adjustments to improve results. Agentforce can also quickly craft or update promotions, also generate email content, and even create personalized multi-step engagement trails, which I'll speak a little bit more about in just a moment. This feature is currently in pilot, so we are so excited to see customers start utilizing it, and then we'll roll it out to the full market soon. Like I mentioned, another exciting release to help make messages more personal within Loyalty Management is Engagement Trails. Engagement Trails allow businesses to create long-term engagement with customers and also reward them for hitting different milestones. Let's use an example here. Let's say that a brand wants to incentivize new customers who have just signed up for their loyalty program. What they're going to be able to do is actually put a customer on an engagement trail where the customer needs to complete a series of challenges. This could be, for example, downloading the app, purchasing two products, and write a review all within those first two weeks of signing up for the program so that they can then win a voucher. Engagement Trails help brands to incentivize behavior that can then lead to a richer customer engagement and also help you as a marketer ensure that they're meeting those program goals too. Let's move on to the next question of the day. That starts with the foundation of any good marketing program, and that is, of course, data. Let's now explore how our customers can better access and activate their data. Marketers know how powerful Data Cloud is for personalization. Of course, now we're making it even easier to use with a new, more simplified setup process for our Account Engagement Data Cloud integration. Our new Standard Data Bundle eliminates manual field mapping, which is going to allow marketers to automatically map fields for landing pages, marketing forms, and list emails to help save you time and effort. This also means that your Data Cloud marketing admins are even faster and even more efficient. Let's move on to our final question of the day before we go into Q&A. We know that a lot of marketers today are worried that increasing technology, as well as artificial intelligence, will make marketing lose that sort of sparkle. A lot of what's coming out in the spring release can actually help marketers make messaging more personalized. Let's go ahead and take a look at what that looks like. On the web personalization piece first, our Visual Editor lets marketers easily add personalized experiences to their website without needing to involve a developer. We're building a user-friendly as well as an intuitive user interface for you as marketers so that you can not only go live quickly, but also make adjustments ongoing without any dependencies required. This is going to allow our customers to configure personalization without the need to leave their website or have any sort of developer experience. Finally, I also want to chat about our advanced mobile push templates. Now, we know that a lot of our customers have been asking for advanced push notification templates so that they can send more engaging push notifications to their users. Our customers need more flexibility to create these notifications. With the launch of these new features, we can now support more advanced and richer push notifications out of the box, as you can see on the right-hand side there. This also means that marketers do not need to be dependent on their developers to add things like interactive buttons, change small and large icons, or configure custom sound in their push notifications so that you know that your mobile app is more engaging with your customers too. Now, as promised, it is time for Q&A, so I am going to throw back to Lisa-Marie. Beautiful. Thanks, Nikki. I've been trying to keep up with the chat in the background, and I've actually gone manual trying to write down some of the questions that are coming through just to make sure that we don't miss or get through as many as we can, really. I can also tell there's a lot of you joining today who are currently evaluating Marketing Cloud Advanced and Growth, as they're now known. Get ready, guys, because I'm going to go through some of these questions. I'm going to try and do it in order. I think the first one might be for Nicho. Is Unified Conversations for WhatsApp and SMS available across marketing? I think it means available on all editions of Marketing Cloud. Yeah, good question. Currently, Unified Conversations is available for the advanced edition of Marketing Cloud. By the way, I wanted to let you know, if you're a current customer of Marketing Cloud Account Engagement, you'll actually get access to Marketing Cloud Growth or Marketing Cloud Advanced, kind of depending on what version or what tier of Account Engagement you're currently on. There's a couple of moving parts. Just contact your account team, your Salesforce account team, for a bit more information on that. Thanks, Nicho. And one that's ready. When will we be able to use custom domain for SMS link shortening? Nikki. I'm happy to take that one, Lisa-Marie. This is a very interesting question, and this actually tells me that this person has either trawled through our help documents with all of our release notes or perhaps they've actually watched the US release webinar. Thank you so much for bringing this up. To bring everyone else to speed, we are actually really happy to announce that from February 2025, so of course, that's already passed, you're able to enhance your subscriber's user experience as well as brand recognition by using an SMS custom domain in your shortened link in Marketing Cloud Engagement MobileConnect. This change is going to apply to all MCE editions with MobileConnect included on a rolling basis. For any sort of questions or details that you might have around timing as well as eligibility, please make sure to contact your Salesforce account executive. Thanks, Nikki. While you've got the mic, there's another one about MI. Can I bring channels other than ad platforms to Marketing Intelligence? Yes, definitely. Like I mentioned, while we do have a wealth of pre-built connectors for any sort of channel or data that you might want to bring in that does not already have that pre-built connector, you can definitely use our custom API connector, which is called Total Connect, to be able to then bring that into our Marketing Intelligence platform. Thanks, Nikki. Also noticed in the chat, we've been getting quite a bit of love for the Agentforce personalization feature. A question that's been asked a couple of times is around, are the recommendations that the agent's making rule-based, or are they ML or machine learning-based recommendations? A few people have asked that in various formats, so I'm just going to summarize that one for everybody. Yeah, cool. All right. Nicho, yeah, would you mind? Yeah, it's all right. Is it rule-based recommendations or machine learning-based? The answer is both. You can have a variety of kind of out-of-the-box machine learning algorithms to help you generate your recommendations, whether you're maximizing for revenue or maximizing for engagement. Of course, you can also apply your own business logic and kind of filter out who and what people should be seeing. You've got access to both recommendations based on sort of manual content or machine learning content. Quite fit. What about, how can I make good use of Flow Exit Rules? Nicho, I think that's for you and your content. Yeah, this is something I chatted to very briefly, I think. I mean, a good use case for Flow Exit Rules is so you don't continue to market to certain customers. The flow is essentially the customer journey. It's those series of actions and whatnot that pushes people either to receive things like promotional messages or to have a task created, all of that kind of stuff. With the exit rule, you can set a criteria of when someone should be removed from that particular flow. In an example here, or a use case might be, as I mentioned, when somebody either makes a customer complaint or perhaps has purchased an item that you're currently advertising, and you don't want to go ahead and send them that further promotional message. You can use the flow exit rule to remove them from that particular customer journey. Yeah, couldn't agree more. It's a really important use case. I think everyone in the room can understand that pain as well. Quite a few about SMS and WhatsApp in here. I think this one. I see that we have SMS and WhatsApp as part of the marketing flows today. What about ads? Okay, so are ads included? Nikki, that one's for you. Yeah, great question. Of course, as I'm sure most people on the call know, here at Salesforce, they're all about that omnichannel marketing. Yes, of course, ads can also be weaved in as part of your marketing flows today so that you can have that true omnichannel experience. As Marketing Intelligence is its biggest fan, I also wanted to loop that in too. As you can see from the release, we now also have this closed-loop reporting so that you can see how your ad audiences are performing across your ad networks too, which in turn means that you can glean insights to further optimize your ad segments, which we know marketers love. Wonderful. Thank you, Nikki. I'm the biggest fan of Agentforce, so I feel like I need to throw a question in there as well from the chat. I saw one about brand. Can I set my brand's tone of voice for the Agentforce Campaign Designer? Happy to take that one, Lisa-Marie. I think we might have to duke it out in terms of who's Agentforce's number one fan. To come back to the question, yes, you can set your brand's tone as a natural language input so that marketing agents can actually take that into consideration, which of course is really important because we want to make sure our agents are grounded in your very own brand, your tone, and your data when generating things like emails as well as landing pages based on your brief and then, of course, those brand guidelines, which you'll pre-configure in the platform. Thanks, Nikki. I've just seen one more come through the chat, which I'm also going to answer while we're here. It's about, at which times of the year do you do these releases? Spring, summer, autumn. I understand the challenge there in terms of us using the term spring and it clearly not being spring here. Traditionally, we have, yes, summer, spring, and winter, but we follow the U.S. kind of seasonality in the way that we label them. This is our second release of the year, and the next one will be in I should have thought about what I was going to say before I asked I've answered this question. It was in our first few slides. Our next one will be in May to June. Typically, that's when we do our releases, and we have a bit of a ramp-up period where we explain that they're coming as we get closer to release season. You'll hear about these via email and our marketing team sending things out to let you know that you can register in advance. Cool. I'm just looking at the time there. I'm just going to make sure that there aren't any more questions that have been very well asked in the panel before I move on. I think that's all for today. All right, I'm going to round us out after Q&A. Thank you so much, Nicholas and Nikki, for going through those for us. There are a couple of things that I want to give everyone to take home with them. To close out the show, we do have some awesome stuff for you to take away. First, check out Gartner's latest Magic Quadrant report to see why Salesforce was named a leader in the multi-channel marketing space. Next, this is the one I'm most excited about. Again, Nikki and I have been duking it out for how excited we are about this. It's an AI for Marketers Workbook. There are insights in it on how to leverage AI to orchestrate and optimize. Included in the workbook are guided worksheets and exercises that you can fill out, sort of like a planner. It really is a great resource. I would highly recommend that you download that and make really good use of it because it's a really good way to strategically plan out how you might be using AI in the business going forward. Last but not least, you can download our latest State of Marketing report where you can find out all about the latest trends and insights on using that AI and data to personalize at scale. There is a lot of really good content in there to help inform your strategy too. All of these resources are available in your resource library widget on your screen right now in your webinar console. You will see in there alongside all those resources, there are the videos from today, the deck from today, and quite a few other bits and pieces. Definitely check that out. All right. Thank you for joining us, everybody. We hope you have gotten lots out of today's webinar. Do not forget to download those resources to take home with you. The recording of this webinar for those who've been asking just in the last minute or so will be up soon, and you can watch it via the same link that you registered with online. Have a wonderful rest of the week, everyone, and we will see you in a few months for our next release.