Salesforce, Inc. (CRM) Earnings Call Transcript & Summary

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. So 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 show 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. So 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 Reenu Thomas, who are ready to take your questions throughout this webinar. Okay. So you've gotten to know us, but we'd love to get to know you, and we've got hundreds of attendees on the call today. So 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. So you'll see there's a poll widget in your console today. So 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. We'll close the poll. 3, 2, 1. Okay. So yes, super, even split of new faces and welcome back us today. So that's awesome. To 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 will be the first time. So yes, looking forward to going through that with you. So we do have a jam-packed agenda today, and you'll be sticking with me for a little while longer, while I give you the rundown on how releases work just for that half of you -- almost half of you that haven't been here before. And then 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. And as always, we will round out at the end with some Q&A from the chat. So feel free to get those questions rolling in, and we'll cover some of them live at the end as well. So a lot of you already know how our releases at Salesforce work. But for anyone new joining today, Marketing Cloud releases happen 3 times a year. And once a release kicks off, these features will filter into your accounts over the course of about 3 weeks, depending on what stack your instance is on. Now our last release took place in October. And today, we're covering our Spring '25 release that spanned across January and February. So that means a lot of the features that you're about to see today are already live in your accounts now. And we'll also be covering, as I said, a few more exciting updates that we've only just announced in the last week. So super hot off the press today. Now because here at Salesforce, we love to innovate. 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. So 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. So let us know how well do you know the different products under the Salesforce Marketing Cloud umbrella. So you've got, a, I'm a rock star; b, yes, like another heaps, but still more to go; c, I know a few, but still room to learn. And then last is engagement advanced personalized cloud. So feel free to select an option if you're feeling a little bit. There's no judgment here as well. So 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. Okay. So predominantly, we're sitting in the middle, which I think is fairly expected, okay? 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. And then we've got 15% or 15.4%, who are a little bit uncertain. So 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 and the 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. So 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. So we want to make sure that we break down exactly what we mean when we say Marketing Cloud. So at Salesforce, we invest a lot into R&D. So our solutions are continuously evolving, and that's 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. So as it stands today, Marketing Cloud is made up of the modules that you see on the screen now. So we have engagement, account engagement, growth and advanced for omnichannel automated B2C and B2B messaging at scale. Then we have Agentforce, where we've built in AI-driven agents to support marketers to create and customize campaigns and personalize the customer experience and more. Then we have personalization, and that's for our hyper-granular 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. And 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. And today, we'll be focusing on all the improvements we've made across the solution suite. But 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 reveal 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. So 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, and it is Marketing Cloud Growth and Advanced Editions. So what's going on here? Well, it's Marketing Cloud Growth and Advanced Editions are 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. So 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, and you can use generative AI to help deliver campaigns, segments, e-mails, effectively helping you get your content out faster than ever before. Now some of the channels that have launched with the tool include SMS. So with a unified conversation SMS, in fact, it's effectively a way you can deliver a cohesive experience across your different departments. So for example, your marketing and sales teams can use a single SMS number to engage in a 2-way dialogue across the customer experience. So for example, you, as the marketing team, might send out a promotional message where -- 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. So this allows you to have a really connected experience. So 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. And as I mentioned, it's built on Data Cloud. So you're using that singular data foundation, allowing your teams to connect those channels and those departments. So there's a really smooth experience for all of your customers. Now 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 a WhatsApp as a channel. So again, this allows you to enhance the customer experience for WhatsApp users. And it allows your marketing users to target their customers in the areas where they're most likely to engage. And so 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. So 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. So 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. So it might include things like product purchases or marketing actions that are being taken, the service case record status, all of that can be merged into your communications. And this is powered by data graphs in Data Cloud. Of course, we've got people scoring. So there's a traditional lead scoring and grading mix here. You can go ahead and capture things like engagement, how interested a person is in your product or fit. And 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. So this allows you to go ahead and test your journeys within the Salesforce Flow. So you can assign individuals down a different path, 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. So with this, you can go ahead and edit and refine your campaign strategy, essentially create a multichannel flow and even content from within a single workflow. So the key point here is that your campaign can be created, which includes up to 3 activities across e-mail and SMS and there's more channels coming. And essentially, you can configure this using clicks, no code required. And then you're 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. So again, a really fantastic time saver for busy marketing teams. A couple of small things now. We've got reCAPTCHA 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, e-mail to your office or primary billing contact. And we've got flow exit rules. So 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. So that's a bit of a crash course in terms of -- 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, and you can use this, of course, for your scoring, your segmentation and reporting. And we've got workplace sharing. So 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. So here we are. So there's a bit of a crash course in Marketing Cloud Growth Edition and Advanced Edition. What I'll do now is I'll 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. So 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 '25 release can help your teams find the right answer for you. Now as we talk through these questions, we'll also walk through a couple of demonstrations. So with that, let's get started. Starting off, how can I better optimize my ad spend? Well, 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. So we know that marketers use a lot of different technologies to engage with customers. And our latest Salesforce state of the marketing report says that companies use about 9 on average. But in saying that, though, within each of these 9, we might actually have something like 10 different log-ins by business units, regions and so forth. So 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. But as we know, collecting and accessing data are 2 completely different things. So 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. And most of the customers that I speak with require support from IT to connect the data sources that our marketing teams need. But IT teams are always backlogged, so we have to wait or try and do it ourselves, which is manual as well as time consuming. So that's why I'm 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 prebuilt API connector library as well as custom API connected to. 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. So let's say, for example, if Facebook ads changes something with its ad connector, your ad connector isn't going to break so that you never lose access to the data that you need. And 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. And Marketing Intelligence's data model is actually prebuilt with common marketing channels. So that includes web, ad, e-mail 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 they're actually set up correctly for reporting and are going to be queryable for further analysis. And of course, this isn't a onetime 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. And 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. So most of that being business data, of course. So that means that most importantly, you can measure the impact of your spend on the KPIs that matter the most to your business. And then moving on to the next release. So -- of course, marketing data doesn't have all the dimensions that you want to analyze. So what also makes our data pipelines unique is that within the process of ingesting and harmonizing your marketing data, we're also using artificial intelligence to enrich it with additional business and first-party data from Data Cloud. And 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's where the pattern piece comes in. And then it can also recommend new dimensions, and that's the data enrichment piece. So 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 query for future analysis and insights. So data patterns and enrichment is improving the quality and scope of analysis. How does it actually work though? Well, for example, artificial intelligence can take raw data about, let's say, cars and then recommend new classifications such as the type of car. So that could be something like a van, a truck or a convertible or it could also be the specific model. So 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. So 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. And 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. And those goals could be things like return on ad spend and click-through rate. And on top of that, where you might be lagging behind, you can also adjust your spend to where you'll see the highest return. And really, the best part is that AI is going to be doing the work for you. So AI can review all of your campaign performance across channels in real time and surface that performance of all your cross-channel campaigns all in one single place. And that means that you don't have to go between log-ins anymore or cobble together your performance. On top of that, we've also released goal planning as well as tracking. So that means that you can see how each marketing tactic is tracking to hitting your targets. So 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. And 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 touch point 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. And with a connector between the campaign data as well as your CRM data, you'll know exactly which touch points were seen by the end user. And to make it even easier for our marketers, I'm also really excited to announce our paid media optimization agent. So 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 optimization so that you get more return for your buck. And finally, the agent will also pause those underperforming campaigns so that you can reallocate to a higher-performing ad. Okay. So we've covered a fair bit about Marketing Intelligence. Now let's really bring it to life with a demonstration. [Presentation]

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. Yes, let's take a quick look here then at this particular question. So how can AI agents help your team today? Well, the good news is we've got recommendations and Salesforce personalization now available as standard Agentforce action in Agent Builder. So with this action, your agents can access real-time personalized product recommendations based on specific objectives. So this allows your agents to create individual experiences that will drive meaningful results for your customers. So integrating this personalization seamlessly in an AI-driven customer experience, it means that your agents essentially tailor every touch point to better meet the needs of customers. So you're going to end up with, I think, more engaging and effective interaction, ultimately enhancing customer satisfaction and loyalty. So 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. [Presentation]

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. So that was one of the agents that we've covered. So the next agent that we want to talk about today can be found in Loyalty Management. So 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 e-mail content and even create personalized multistep engagement trails, which I'll speak a little bit more about in just a moment. So 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. So like I mentioned, another exciting release to help make messages more personal within loyalty management is Engagement Trails. So Engagement Trails allow businesses to create long-term engagement with customers and also reward them for hitting different milestones. So 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 Engagement Trail where the customer needs to complete a series of challenges. This could be, for example, downloading the app, purchasing 2 products and write a review all within those first 2 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. So let's move on to the next question of the day, and that starts with the foundation of any good marketing program, and that is, of course, data. So let's now explore how our customers can better access and activate their data. Marketers know how powerful Data Cloud is for personalization. And 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 e-mails to help save you time and effort. This also means that your Data Cloud marketing admins are even faster and even more efficient. So let's move on to our final question of the day before we go into Q&A. So 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. But a lot of what's coming out in the Spring Release can actually help marketers make messaging more personalized. So let's go ahead and take a look at what that looks like. On the web personalization piece first. So 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 U.S. 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. So 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 don't 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's time for Q&A. So I'm 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 going through just to make sure that we don't miss -- 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 on core or Marketing Cloud Advance and Growth as they're now known. So 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 is for -- that 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?

Yes, Yes, good question. So currently, Unified Conversations is available for the Advanced Edition of Marketing Cloud. But by the way, I wanted to let you know. So 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. So 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 troll through our health documents with all of our release notes or perhaps they've actually watched the U.S. release webinar. So thank you so much for bringing this up. So to bring everyone else to speed, we are actually really happy to announce that from Feb 2025, so of course, that's already passed, you're able to enhance the subscriber's user experience as well as brand recognition by using an SMS custom domain in your shorten's link in Marketing Cloud Engagement Mobile Connect. So this change is going to apply to all MCE Editions with Mobile Connect included on a rolling basis. So 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. So can I bring channels other than ad platforms to Marketing Intelligence?

Yes, definitely. So like I mentioned, while we do have a wealth of prebuilt connectors for any sort of channel or data that you might want to bring in, that doesn't already have that prebuilt 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 I noticed in the chart, we've been getting quite a bit of love for the Agentforce personalization feature. A question has been asked a couple of times around, are the recommendations that the agent is making rule-based or are they ML or machine learning-based recommendations? And so a few people ask that in various formats. So I'm just going to summarize that one.

Yes. So is it rule-based recommendations or machine learning based? So the answer is both. So 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. But of course, you can also apply your own business logic and kind of filter out who and what people should be seeing. So you've got access to, yes, both recommendations based on sort of manual content or machine learning content.

Perfect. And what about -- how can I make good use of flow exit rules? Nicho, I think that's for you and your content.

Yes. This is something I chatted to very briefly, I think. But I mean, a good use case for flow exit rules is so you don't continue to market to certain customers. So the flow is essentially the customer journey. It's a series of actions and whatnot that pushes people either to receive things like promotional messages or to be -- 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. And as 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, you don't want to go ahead and send them that further promotional message. So you can use the flow exit rule to remove them from that particular customer journey.

Yes. I couldn't agree more. It's a really important use case. I think everyone in the room can understand that pain as well. How do you feel about SMS and WhatsApp 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 our ads included. Nikki, that one is for you.

Yes. Great question. And of course, as I'm sure most people on the call know here at Salesforce, they're all about that omnichannel marketing. So 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. And, of course, is Marketing Intelligence is biggest fan, I also wanted to loop that in too. So 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 segment, 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 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 check it out in terms of whose Agentforce is #1. But 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 e-mails as well as landing pages based on your brief and then, of course, those brand guidelines, which you'll preconfigure 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. So traditionally, we have, yes, summer, spring -- sorry, summer, spring and winter, but we follow the U.S. kind of seasonality in the way that we label them. And so 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 started answering this question. It was in our first few slides. Our next one will be in May to June. So 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. So you'll hear about these via e-mail and our marketing team sending things out to let you know that you can register in advance. Cool. 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. So I'm going to round this out after Q&A. Thank you so much, Nicho and Nikki for going through those for us. And there are a couple of things that I want to give everyone to take home with them. So to close out the show, we do have some awesome stuff for you to take away. So first, check out Gartner's latest Magic Quadrant report to see why Salesforce was named a leader in the multichannel marketing space. Next, this is the one I'm most excited about. Again, Nikki asked [indiscernible] out about how excited we are about this. It's an AI for marketer's workbook. So there are insights in it on how to leverage AI to orchestrate and optimize and included in the workbook are guided worksheets and exercises that you can fill out sort of like a planner. So it really is a great resource. I would highly recommend that you download that and make really good use of it, and it's a really good way to strategic plan out how you might be using AI in the business going forward. And 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, and there's a lot of really good content in there to help inform your strategy, too. And all of these resources are available in your resource library widget on your screen right now in your webinar console. And you'll see in there alongside all those resources, there's the videos from today, the deck from today and quite a few other bits and pieces. So definitely check that out. All right. So thank you for joining us, everybody. We hope you've gotten lots out of today's webinar. Don't forget to download those resources to take home with you. And of course, the recording of this webinar for those who have 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. So have a wonderful rest of the week, everyone, and we will see you in a few months for our next release.