How Marketers Can Root AI Use in Strategy, Standards & Business Context

Welcome and Introduction

Meghan Keany Anderson: All right, everyone, thanks so much for taking the time with us today. We really appreciate you spending, you know, a half hour or so to learn a little bit about intentional AI. I'm going to tap dance a little bit while some participants come, come online and join us because I see the numbers climbing.

So I want to make sure that we give them a chance to get in before we begin. And so I'm going to begin today by talking a little bit about AI and strategy. Right. We're not going to touch on the technology right off the bat.

Then we'll get into actual real life examples of how we at Jasper are deploying this technology and using it in sort of intentional, responsible ways in our marketing. So that's the run of show for today. And certainly if you have questions, you can drop them into the chat or question pane. We will try to get to them. If not in this call, we will get to them afterwards in follow up.

And I've got a great team of people here, Meredith, Carissa and Samutha, who are all going to be there in the chat panes with you all as well. And they can answer some questions as we go along. And shortly I will be joined by our head of product design, Stephanie and Will. She'll talk with us a little bit about how she thinks about building technology in a way that best supports intentional AI. That makes sense. Okay, sounds good. I'm going to just check the chat pane. Looking pretty good. I think we can begin keep you guys on schedule because you took time out of your day for us. Okay, perfect.

So my name is Megan Keeney Anderson. I run marketing for Jasper, which is an incredibly cool position to be in because not only do I get to sort of play with this technology that we're building, but I also start get to alongside my team, think about how do we best adapt our strategies around it. And I can talk with our customers. Many of you are on the call today, hear how they're doing it as well.

And that way we're all sort of learning together. So this conversation is really about us sharing sort of what we've seen. I would love to hear from you all again in the comments about what you're doing, choices that you've made to be more intentional about your AI use.

And hopefully at the end of this, we'll all get a better sense of, you know, what is our direction moving forward with this pretty powerful technology. And you know, in the same vein, where are the places that we don't want to use it? Where are the places that we are needed as humans to sort of step up and step into the strategy?

So why don't I dive in?

The Transformational Imperative of AI

Meghan Keany Anderson: So this grandiose statement is from Google CEO Sundar Pichai, and he has put to words what many of us in the industry are feeling, which is that we are undergoing probably the biggest technological shift since the Internet. This is not just a tool. This is not just a new product or app to play with. There is a lot that is changing around the onset of AI, and we need to be thinking about this at that grander scale. In the same way that the Internet changed everything about the way that we discover and shop at companies, AI is going to do the same.

And so we need to be ready for it. Now. That has put us as marketers in what I would call a transformational imperative. Right?

So just as the Internet sort of created these digitally native companies and there were a collection of companies that didn't quite make that transformation, we're at that same stage now where AI has come into the scene. There are going to be some companies that really learn to leverage and adapt to it, and those companies will thrive. And then there are going to be some that don't actually make that transition or that struggle to make that transition, and they may falter in places.

So what we're trying to. Everybody's trying to figure out right now is how do we make sure that this becomes an accelerant for our business and not something that we miss the boat on and not something that we misuse or mishandle. Because in the rush of adopting AI, there are some companies that are making mistakes, right? You can't blame them, right? There's a lot of pressure to learn this massive new technology very, very quickly. You hear from a board member or a CEO or even members of your own team to say, hey, we have to do this AI thing. We have to plug it in, we have to make it work, because it's what everybody else is doing.

But just using AI for the sake of using AI is going to lead you to, you know, potentially a, a number of. Of mistakes. It could lead you to creating a bunch of generic content that nobody wants to read. It could lead you to skipping steps in your process that potentially you shouldn't be skipping.

And so we, we titled this webinar, you know, Intentional AI because, you know, the best way through this is not just to jump on the bandwagon and, you know, collect a wide range of tools. The best way to do this is to think very Intentionally about what is the role that you want AI to play in your company and in your team and in your workflow, and how do we adjust around it in a way that will lift everybody up? And so that's really what we want to talk about today. The other thing that we see is that in addition to sort of making mistakes in adopting AI, we often see a lot of times there's a rush to adopt AI, but then after purchase, sort of a lack of usage across the team.

And that often comes about because, you know, you may have gotten all the right tools, but you haven't really thought as a team about the way to adapt your workflow around those tools or the way to roll them out properly to your team. And so the other piece of being intentional here is around how do we think about, yes, past the moment of purchase, past the moment of, you know, picking up that piece of technology, how do you bring your team together around it and figure out the right way for it to fit into your working environment?

Being Intentional with AI: Standards, Strategy, and Scale

Meghan Keany Anderson: All right, so my argument here is there's really three things that you need to be intentional about when it comes to AI Standards, strategy and scale. Standards are what are the standards that you're going to put into place around quality practices, security to make sure that your team is building on a strong foundation as they use AI. Strategy is really a question about what are the ways in which your marketing strategy needs to evolve as a result of AI being in existence in the world.

And then scale is really about where and how do you use AI to help you scale. So I'm going to hit on these three issues and then again, we will dive into Jasper, our software, so you can sort of see this stuff at play. So let's talk about standards. Many of you who are on the call, who are customers, have probably seen this before, but for any of you who are new, I wanted to share it again. This is Jasper's Standards for Responsible Use policy. It is available in the interest of building in public. It's available as a template or as inspiration. On our website, you can go to Jasper AI Ethics to download a copy of it.

And it goes through all of the kind of core tenants that you should think about when it comes to responsible use of AI, you're definitely not going to want to rip and replace and use this as is. You're going to want to talk internally. You're going to want to talk with your own legal teams and security teams and marketing teams to make sure that this reflects yours.

But take it as a example and you can use this to sort of start that conversation. Now, for us, those standards come down to, you know, guidelines for use. Are we transparent about our use of AI? What are the cases in which we use AI, in which we don't? How do we ensure that we've got quality control checks in place, those sorts of things, and it sort of walks you through each of those steps.

And then there are also standards around security and around how we want to make sure that we're protecting the privacy of our data and what tools we can use and not use within our company. Not all tools are created equal. So here's a good sample of standards of use that you can download if you haven't had a chance to already and start that conversation with your team. One of the things that we have highlighted for our own marketing team and within this standards of use document is for us, intentional use of AI really is about making sure that AI is a complement to the marketer and a tool in the hands of the marketer and not a replacement.

So one of our standards internally at Jasper, and we're an AI company, is that there should never be a time where a piece of content goes out in the wild that has not been touched by a human. We want to make sure that every piece of content we develop is reviewed by people, has, has human input, is shaped by the marketer and role, who has the best understanding of our audience and you know, frankly, the limitations that AI has. So understanding that setting standards around that is pretty important.

And then the next question, once you set those standards is how do you make sure that those standards don't just sit in a digital drawer somewhere? Right? How do you make it so that so often we have these conversations and we all feel great about them walking out of the off site or the conference room and then they don't really get embedded into our workflow.

So what you're looking at here is a view of kind of the campaign management tools within Jasper. And we make sure that as we're building out campaigns, that we've got pauses within our workflow for review, that we've got the ability to assign pieces of content to members of our team, make sure that we're adhering to that standard of blended human and AI work. So that's standards.

And I think the main point around that, that I'll just underscore is, you know, AI is going to make a lot of things easier, but there are also going to be places where we as marketers have to step up in that process, have an intentional Conversation about that internally, figure out how and where that shows up in your workflow and, and make sure that those standards are there. The next piece I mentioned is about strategy and this is really agnostic of the tool you use. This is really about what are the ways in which our approach to marketing is going to need to change because of the way that AI has evolved the marketing space around us.

So it's put differently. It's not just that we got a new lamp, new piece of technology is that when we switch that lamp on, the entire room looked different. Marketing in a post AI era is going to be different. Distribution is going to be different. The way people discover your company, the way people engage with you, what their expectations are as customers, all going to be different.

Because again, this is a technological shift, not just a piece of technology. And so I'll give you a prime example that I'm sure is on many of your minds. It is predicted and projected that over the next few years organic search traffic is going to decrease by 50% or more as consumers embrace generative AI powered search. This is from Gartner. This is a prime example of even if you never purchase an AI tool yourself, you never use AI. This is a prime example of the way that the world is going to change for marketers as a result of AI.

And so when I talk about shifting your strategy, it's not just about developing strategies for deploying the software, it's about developing strategies for how your marketing mix is going to need to evolve as a result. And so in thinking about that, you know, we need to move from a position of focusing on keywords, probably just focusing on key people, investing in communities, equipping them with your message, building out word of mouth marketing and social marketing to complement. I'm not saying like SEO is not going away, but to compliment and diversify your acquisition sources, we need to think about moving from just volumes of content to the strength of your ideas. Brand is going to have a major comeback in an era where anyone can create informational content at scale.

And we need to think about moving from the entirety of our focus being on acquisition to putting more emphasis around conversion. If it is getting harder to pull people in at the top of your funnel, how do we make sure that we're building the kinds of personalized experiences that are going to convert your existing audience? They're going to make them feel attended to, that are going to speak to them exactly where they are and increase those conversion rates throughout your buying cycle.

So strategy is going to need to change and then finally, I would think, when it comes to intentional AI, about the ways in which you want to use AI to help you scale, right? So this is an example of kind of a typical, you know, process work, marketing workflow, right? Whether it's for a product launch or whether it's for an event field marketing campaign you're putting together, this is largely kind of how we spend our time.

And the way that I would think about employing AI in this work is I would think about, you know, splitting up the work of this process into thinking about, like what, what are the parts of this that really rely on judgment and what are the parts of it that are really sort of hindered and limited by the amount of time that we can put into it. So, for example, you know, when it comes to doing research, say you're doing a product launch and you need to do product research to figure out how to position that new set of features in the market. You know, the hypothesis might be something that is human led, and we want to remain that, to remain human led.

But maybe there's a ton of interviews that you've done and you want to employ AI to do the synthesis of those interviews, right? When it comes to analysis, maybe you're analyzing that research and you want to use AI to do the hard work, the time intensive work of combing through it all and recognizing patterns, but you want to keep the conclusions yourself as the marketer, because you can understand what of those patterns is most important based on your history and experience with the audience. When it comes to strategy development coming off of that research, you want to be in the driver's seat when it comes to developing that strategy based on what you've seen.

But maybe use AI to proliferate that strategy, to repackage it into different formats to inform your team and help them get the most out of that backbone creative execution, you hang on to the core idea, but you use AI to adapt that idea into a thousand different formats, a dozen different audiences, and you use AI to get more out of that core idea that you've come up with, and so on and so forth. So I would go through this practice of sorting through for all the steps you have in a workflow, what are the parts that are most important for you to invest more time in as the marketer, and what are the parts where we can actually leverage AI to afford you that time. Here's an example of us using Jasper to help do ABM at scale.

So ABM has always been something that you could do with, you know, maybe a dozen, maybe 50 companies at most. As a B, as a B2B marketer, if we can bring in AI, can we extend the amount of companies that we can do tailored one to one marketing for? Can we build that out to be our primary marketing practice as opposed to casting a wide generic net? These are the sorts of decisions that we need to make about where we want AI to help us scale. It's a fantastic use case to start to experiment with. I've talked a lot about the, the strategy of AI in the first 10 minutes or so of this, of this conversation. I'm so excited and thrilled to bring on my colleague Stephanie, who is going to join us to talk a little bit about the technology.

And so, Stephanie, I'm going to let you introduce yourself while I pull down my slides and get ready to dive into the demo portion of this. And then I'll pull back up the screen in just a moment.

Jasper in Practice and the Role of Purpose-Built AI

Stephanie Mancuso: Perfect. Hi everyone. Happy Wednesday. Thank you all for joining us today. I really hope that, I mean, I know I learned something and even just that first ten minutes with Megan.

So thank you, Megan. But yeah, super excited to not only talk to you a little bit about our learnings here at Jasper, but also run you through kind of how we've used the most recent updates in the product and again give you guys some goodies at the end.

Meghan Keany Anderson: Perfect. Okay, so we're gonna dive into the product in, in just a moment here, but I did want to kind of begin this with one question for you, Stephanie, which is, you know, you're, you're in charge of, of designing a copilot, an AI copilot that is purpose built for marketers. And we put a lot of emphasis on that idea that marketers need a purpose built, unique AI tool. I want to ask the question right up front, like why, why not just use a generic AI tool that's out there? Why not just go to ChatGPT? Why not just like plug into whatever AI is in your existing tools? Is it worth not to, not to ask the existential question, but is it worth taking particular intentional thought to building an AI tool specifically for marketers?

Stephanie Mancuso: Yes. And don't get me wrong, it's a completely understandable thing to ask. And one thing I should mention, I head up the design function here at Jasper.

So I'm responsible for a lot of the product design that you see on the screen today, as well as our kind of brand design function. And I work super closely with Megan and her team on the marketing side. But we are consistently doing research. We are consistently talking and co creating with our customers.

And so yeah, why build a, build a purpose built product for marketers for folks like Megan. You know, I think for many of you on this call, hopefully you can all agree with me that a lot of these kind of like bolted on AI features feel exactly like that. They're very shallow, you get excited about using them for the first time and they just don't quite hit the mark.

And so it's a lot of hype without a lot of substance. And so I think when it comes to Jasper in general, we are an AI first company. But beyond that as well, Jasper is where all of your context can live, all of your data, all of your, you know, documents that keep your team kind of moving in the same direction and empowering everyone at the same time, which you're just not going to get on a bolted on widget that, you know, a team at, perhaps another company is more focused on their core product that really is an AI, right? We are living and breathing it every day. Like many of you are on this call and who is it? Overwhelming sometimes, right?

But you know, we, we use this, we use this metaphor a lot here internally from Meg, who is one of our amazing customer success leaders. And it's like, you know, Megan, I could throw the question back, right? Like, did everyone need to switch from a BlackBerry to an iPhone? Maybe not.

But you know, here we all are with, you know, iPhones and these digital devices and so we think that AI is a lot like setting up your iPhone, right? Like it takes actually a minute to set it up, sometimes it has to load for a long time, etc. Etc.

But at the end of the day, once you get it right, you're kind of off to the races and it's like this most powerful tool. And so the same thing can be said with Jasper. And so we're going to go through a little bit of a demo here of how you get a lot of that context up front, how you put in, you know, and setting up your iPhone, setting up your Jasper.

But you know, trust me, we know on average marketers have 18 plus different tools. Some go as far as 64. Trust me, y' all don't need another one. I get it.

But keep in mind, that's why we are doing so much as far as an API and extension and frankly as well, the things that a lot of the UX that you don't see on the front end is really how we're fine tuning our models. Like you will not get the same outputs with other LLMs because we are training it on gold standard marketing data which a lot of it is stuff that Megan and our even internal team, we, we consider to be gold standard kind of ways of writing, ways of reaching the market. So yeah, I do believe that you all need a copilot custom built just for you because the depth is there and the control is there.

Meghan Keany Anderson: Yeah, let's talk about that control. I want to dive into the demo now and I'm going to actually begin over here in our knowledge bas because you mentioned context and I think context is actually like the thing that is most different about this copilot versus any other tool out there. So I'm going to hop over to show people what that's all about.

Demo: Using Jasper for Marketing Workflows

Meghan Keany Anderson: So we recently, we're going to run through a campaign. Stephanie and I, we recently had an announcement. As a company, many of you have had big company announcements to make and marketing has to run that end to end and you have to move very quickly. We acquired a company called Clipdrop and so when we knew we were acquiring this company, we all got together around like what is the core information, facts, messaging, materials that need to infuse everything else.

And that is where we begin in using Jasper to propagate that. So I'll let you speak to it, Stephanie, but I will pull up, let me pull up to begin with. Just the, the creative brief around the Clip Drop acquisition that got stored into Jasper.

Stephanie Mancuso: Yeah. So, gosh, a couple weeks ago now, as Megan said, we announced that we acquired Clipdrop, which is a phenomenal team out of France who really is at the forefront of AI image technology, which is a huge piece of being an end to end marketing copilot. And so in these past two weeks, you know, that day, course I have a busy day, I'm like scrambling, let's all get, you know, our LinkedIn post out.

And so Megan awesomely put into our knowledge base this kind of Clip Drop acquisition piece of knowledge. And so I could go here and check on what kind of was in that piece of content. But honestly, at the end of the day I really didn't need to because Megan is, you know, at the helm and really leading us into a cohesive kind of how we speak to the market.

So instead I went to this magic dashboard is what we call it, where I can really type in anything. And so in there I'm just going to say, hey, you know, write me, write me a LinkedIn post celebrating, you know, the acquisition of Clip Drop. And then this is what I mean by kind of like context upfront when you can tell Jasper and Jasper will lead the way instead of just having kind of an open form field and you have to kind of navigate and keep prompt chaining and prompting and prompting. This is now guiding me.

And so it's like, okay, provide me some details but I'm also going to add that knowledge piece that we talked about because it's really going to help make this piece of content much more unique and it will also sound in our Jasper brand voice, which you can kind of see there's a link at the top and on the upper right it just auto inherited that. So Megan is like great. Stephanie is going to be within our style guide, not saying any, you know, crazy words or anything and we're going to all be on brand.

And so there we go. Jasper's off to the races. And you know, maybe this is like a little long. I could always highlight, you know, a few peak, few key words and kind of, you know, tell it to improve it or change the length.

So yeah, I want to make it shorter. And this is kind of what we mean, how you can go from a piece of context, be guided in your next best action and then get really into the details but you have that co pilot with you kind of every step of the way.

Meghan Keany Anderson: Now Stephanie isn't, isn't the Clip Drop team, aren't they based in Paris?

Stephanie Mancuso: Yes. And so that's what we could do next is, you know, I'm all about the inclusion. I also want to write a post that is in French so that everyone can kind of share that as well on LinkedIn.

So I'm going to go, yeah, go in and translate to French, which there's no way that I could have been able to do this on my own, of course. And thanks, Jasper.

Meghan Keany Anderson: And I think what's nice about this too is if I can ad lib a bit here is like you could see, you know, it's pulling in specific details, it's pulling in the names of the founders of Clip Drop from that core document. It's pulling in a quote from our CEO Timothy Young, but it's making it original. Right?

And so I as a marketing team can then go to my entire company and say, hey everybody, go post on LinkedIn about this amazing news. And I don't have to fear that about the quality of those posts because they're going to pull from that core brief and it'll be automated in that way and then they can make it their own. So gone are the days of the lazy canned tweets of everybody writing the same exact post that a marketing team has put together for them. This allows that sort of blend of originality with the reliability of that core information.

Stephanie Mancuso: And then I briefly touched on style guide. If we want to go in there, to Megan's point, you can kind of see visually, just at first blush, how Jasper has, you know, brought in some of these very specifics from knowledge. But then also when you apply your style guide, you can see how the LLM is applying said style guide to your. To your verbiage.

Meghan Keany Anderson: Exactly right. And what's cool is from here, you can remix this in a thousand different ways, right? So you can go over here and, you know, change up the audience, you can change up the format, you can turn this into a extended blog post, an ebook, email, nurturing series.

But it's all based on that core, that core bit of knowledge. And actually it's the blend of that knowledge, the brand voice that we've taught it around our brand guidelines and then the style guide. And that's what grounds it to make it more marketing friendly than just a generic tool.

Stephanie Mancuso: Cool. Where do we want to go from here, Stephanie? Anything else? No, I think that ends our cooking show.

Meghan Keany Anderson: Okay, sounds good. Well, we can stop there and take a couple of questions before we wrap. We appreciate you all having the time. We're right at the 30 minute mark.

And so if you need to drop, feel free to drop. But if you want to stay on and ask some questions. I see Cynthia's hand is raised. Happy to answer those as well.

And I might ask for Meredith or Chris's help to try to surface some of those questions for us.

Q&A and Best Practices

Meghan Keany Anderson: Okay, I actually see a question from Allison. I'll hop into around. How do you quality check content that's been translated from English to French? I love this question because this goes back to my initial point around intentionality in how you use AI and to the fact that we never let anything that's like AI generated only get published without human review.

So you still would want someone. You know, what we actually did when we announced this was I generated the press release in Jasper. I used Jasper to translate it. I then went to Damian from our Cliff Drop team to say, who's a native French speaker to say, hey, is this right?

And there were a couple places that he pointed out as like. He's like, yeah, it's actually like, largely right. But this turn of phrase is something that is too formal or not formal enough for this kind of announcement.

And so that interplay between human and AI is Still incredibly important. It's just that the time consuming stuff is what you can give to AI and then that affords you the space to be able to do those quality checks and make sure that's part of your workflow.

Stephanie Mancuso: I can surface a question in here that I kind of saw it multiple times through the chat, but just any best practices around making sure that your brand voice is up to date? And as your brand voice changes or your brand evolves, how do you ensure that that is reflected of your current brand voice?

Meghan Keany Anderson: So what I would say on our marketing team we've kind of, this is where actually roles and permissions come into play in our tool. Anyone in the entire company can use our instance of Jasper to create content, but only a few people are permitted to own the brand voice and to own the knowledge base. And so when I talk about your strategies evolving and your marketing team roles evolving, one of the roles that is going to become more prominent, I think in marketing organizations is the role of sort of an editorial lead, someone who, and maybe this comes out of your brand team, maybe this comes out of your content team. But, but you know, a single or one to two owners of that brand voice of that, the core positioning docs, the, you know, audience briefs that go into that co pilot and then empower the rest of the company. You want to keep that small and you want to make sure that you know, if you go through a major rebranding or you go through kind of an evolution of your positioning or there's a new competitor that you want to add into your competitive docs, that that person is responsible for keeping that, that core engine up to date. Looks like in the last couple minutes a ton of questions are flooded.

So I'm just reading through those as well. You know, one thing that I've noticed when we first introduced brand voice is actually we, we rolled it out, we announced, everybody was really excited about it and then we saw this like lag that happened and we were asking customers like, oh, why haven't you set up your brand voice yet? And we learned that it's because even though marketers like value and having a sense of importance to brand voice, very few of them actually had like a brand book or a set of guidelines that were pre printed that they could upload, right?

And so the tool makes it easy for you to upload that PDF or to sort of paste in your, your style guide. But for many marketers it was actually a practice of like, oh wait, no, we actually have to dust that thing off, we have to Pull it out of the digital drawer and like have a conversation about what that, that brand voice should be. And so we have these tools, you know, we have the ability, for example, to scan your website, go to a page that you love on your website, maybe it's your about us page, and actually pull out the brand voice from that page to give you as a starting place to develop, you know, what is, to extrapolate into what is your larger sort of brand positioning and brand voice.

And we found that a lot of customers have actually found that very helpful as a conversation starter to make that happen.

Stephanie Mancuso: The other thing I would add that, Megan, I think you said earlier, is also how you add your specific audience profiles as a piece of knowledge, right? Because it's not just about your brand voice, but it's also who you're speaking to. So that's another thing that perhaps we could have done in that cooking show demo is I could have said, hey, our audience are, you know, these folks on LinkedIn for instance.

Meghan Keany Anderson: Yeah, exactly. We, so you know, we sell to a number of different industries, right? We sell to CPG and retail industries, we sell to publishing companies, we sell to marketing agencies.

And so let's say we wanted to take that core announcement of, hey, Jasper has acquired Clip Drop and we wanted to bend it to fit the CPG industry. We would just attach the brief of that industry that our product marketer has done around, hey, what are they? What do they care about? What are their biggest pain points? What are their needs? What does their workflow look like? We attach that knowledge to the same announcement and then suddenly it's tailor made for them. It talks about using ClipDrop for ads and for product imagery as opposed to in publishing, for, you know, book art or for, you know, website optimization.

And so I actually think those are, there's kind of three pieces of, of knowledge I would think about. I think about company and brand positioning, I think about audience briefs. So create a core source of knowledge for each of your audiences.

And then I think about like competitive positioning. So often our sales team is asked those questions, how does Jasper compare to this alternative or this alternative or this alternative? And it takes them time every time to go back and restart from the beginning to understand exactly what the latest positioning is. If we can keep that updated inside Jasper, they just ask the chat and it's there or they just frankly pull that into their response using that, using that brief.

So this is actually how, by attaching pieces of knowledge, this is how you make your entire company speak with the most updated and Consistent language. And that is what I mean when I talk about intentional AI.

Stephanie Mancuso: Someone in the chat was actually just asking that kind of exact question just on further information about how they would incorporate their messaging process or any kind of Personas positioning. And so once you have that in your knowledge base, I would love if you could just touch really briefly on like how you incorporate that into your content.

Meghan Keany Anderson: Yeah. So you know, I'll, I'm trying to think of another example. So in addition to sort of the ones I've laid out, one that Smitha who's on the call here, what she often does is in Jasper there's a lot of late breaking news around AI. There's new regulations that are rolling out, there's new, you know, news stories that take shape.

And so Samita runs our corporate marketing strategy. And so what she can do is really like synthesize, be like the one person who synthesizes that into a public stance or an approved like set of positioning around that latest piece of news or regulation, upload it into Jasper same day and then by the next morning everybody in the company can speak to that regulation, even if they, you know, maybe missed the first story. So it, it is that acceleration of knowledge spread that makes Jasper I think really special.

And we've used that a lot. You know, just in the last few months alone there, you know, there was the executive order coming out of the White House, there was the, the European Union's regulations, rolling out the UN statement. And so Smith has been very busy kind of understanding this, synthesizing it, uploading it into Jasper so that we can expedite the knowledge across our company. Any other remaining questions? We have just a couple more minutes left. I see one that I like. I'll just pull out of the questions is just someone here asked. They have a list of technical blog posts, about 200 of them and they want to rewrite or modify the titles to increase click through rates. Would we be able to use Jasper for that? Yes, absolutely. One of the, you know, one of the best uses of AI is in testing right in coming up with, in fact we're doing this, Stephanie knows this. We're doing this on the homepage right now with Jasper and coming up with a bunch of different headline options so that we can test them all to figure out what the best conversion rate is.

And you can do that just by simply, you know, pointing Jasper to the blog post that you want to update or frankly through an API, bringing them in and having it come up with variations that you can test. And so in that way you can get to get to conclusions faster of those experiments, get those conversion rates up and see value sooner. A lot of the early, like when we talk about ROI and AI, a lot of the sort of early attention was given to cost savings. Right? You can do more with less with AI. Increasingly, as AI is enabling us to test variations to expand ABM programs to larger audiences, we're starting to be able to really see not just time savings, but actual increases in revenue that are attributable to work that was supported by AI.

Closing Remarks

Meghan Keany Anderson: Okay, I think we can probably wrap it there to let you all get on with the rest of your days, but we are so appreciative for the time that you spent with us. There were questions that we didn't get a chance to answer, but we will have a follow up email that goes out and we will try to hit some of these in that. And the nice thing is now that we've recorded this, we can take this recording, uploaded the transcript into Jasper and create a whole bunch more content coming off of it.

So really trying to walk the walk in that way too. Thank you so much Stephanie. Thank you so much the rest of the Jasper team for being on the call today and thank you all for joining us.