The First Real Look at AI-as-UI in Marketing (And It's Wild)

Summary

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Podcast Summary: The First Real Look at AI-as-UI in Marketing (And It's Wild)

Podcast: AI-Driven Marketer: Master AI Marketing To Stand Out In 2026
Host: Dan Sanchez (“Danchez”)
Guest: Jason Telmos, VP of Product Marketing, 6sense
Date: November 16, 2025

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Episode Overview

In this episode, Dan Sanchez sits down with Jason Telmos, VP of Product Marketing at 6sense, fresh off their Breakthrough conference in Las Vegas. Together, they provide the first in-depth look at 6sense’s new suite of AI-driven features—especially the transformative Revy AI—which is redefining the role of AI from a backend engine to the fundamental user interface (AI-as-UI) in B2B marketing platforms. The discussion covers the evolution of account-based marketing (ABM), the integration of cutting-edge AI within 6sense, major product updates like intelligent automation, deep-data cleansing, the AI email agent, and what the future holds for marketers as AI becomes the core interaction layer.

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Key Discussion Points & Insights

1. The Origins and Core Vision of 6sense & ABM ([02:01]–[07:08])

• Jason’s Backstory: Jason shares how he transitioned from marketing consultant to 6sense power user and now executive, beginning with his struggle to understand ABM and realizing its core: “We need two things. We need signals … and scores … are they interested in our product, how interested would they be?” [03:36]

• ABM Fundamentals: Early ABM—segmentation focused, limited personalization, heavy on data but light on automation.

• 6sense’s Differentiator: Early adoption of granular intent data and predictive scoring, ahead of competitors:

  “Sixth Sense just came out the gate with intent data and predictive scoring that were light years ahead. Anything else.” – Jason [04:04]

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2. The Evolution: From Big Data to Actionable AI ([10:01]–[12:28])

• Industry Shift: Data abundance was overwhelming; marketers needed actionable insights, not just raw information.
• 6sense’s Legacy: A decade building B2B domain expertise in ML/NLP, uniquely positioning them now that “AI can actually take action based on that data.” – Dan [11:36]

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3. Data Quality & Mapping: The Secret Sauce ([12:28]–[16:05])

• Data Cleansing & Attribution: 6sense harnesses AI (and human-in-the-loop) for ultra-clean, 98% accurate data on key accounts:

  “We can identify the right accounts to focus on ... and use kind of like a manual slash AI process to essentially make your data so clean that for the most important accounts ... 98% accurate.” – Dan [12:39]

• ID Graph & Taxonomy Building: Multiple patents for de-anonymizing traffic and matching web signals to accounts—crucial for efficiency.

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4. Strategic Product Philosophy ([16:05]–[22:42])

• Signals, Scores, and Activation: All feature development centers on collecting the right account signals/scores and orchestrating high-impact workflows.
• Ecosystem Focus: 6sense is intentionally not a walled garden—they want to be the “center of gravity” that integrates with best-in-class tools.

“Let’s lean into our core competencies ... You need data, right? You need signals and scores ... and then you need the way to orchestrate ...” – Jason [18:50]

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5. Intelligent, Triggered Workflows ([22:42]–[26:28])

• New Automation: Marketers can now automatically trigger campaigns based on real-time signals (e.g., job changes, funding rounds, security breaches):

  “The ability to trigger automations based on signals ... all of a sudden you get some intent data ... it can now kick off an automated workflow.” – Dan [23:10]

• Scalable Personalization: What was once only possible for a handful of handpicked accounts (“one-to-one” ABM) can now be scaled much farther:

  “All these new tools essentially pushes everything up a level. What you only could do one to one before, well now you could do it one to few ... one to many pretty accurately now.” – Dan [26:04]

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6. Key Product Updates: Chrome Extension, Chat, AI Email Agent ([28:00]–[32:34])

• New Chrome Extension & Chatbot: Contextual buyer and company insights delivered anywhere, and conversational AI onsite.
• AI Email Agent:
  • Solving the ‘Middle’ Use Case: More personalized than automated nurture, less manual than BDR sequences, now possible at scale.
  • Dynamic Reply Handling: AI classifies replies (e.g., pricing questions, competitor mentions) and follows custom logic or knowledge base replies.

  “You can actually dictate whatever scenario you want. So, like, if they mention our competitor or ... bring up pricing ... here’s what I want you to do.” – Jason [30:47]

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7. The Game-Changer: Revy AI—AI as User Interface ([33:28]–[41:04])

• What is Revy?: An embedded conversational AI within 6sense—a new interface that replaces point-and-click navigation with natural language interaction.

  “There’s an understanding for us internally that ... this is an interface that everybody is moving towards. ... It finally pays off the purpose of being able to create precision segmentation ... and intelligent orchestration.” – Jason [33:45]

• Analogy to Multitouch iPhone: As multitouch fundamentally changed how we interact with devices, AI-as-UI will redefine SaaS interfaces and workflows.

• Practical Examples:

  • Complex queries and reports via simple language (“Find all accounts coming up for renewal, not on our website, researching competitors.”)
  • Connects multiple data sources and executes recommended actions:

    “You could be highly specific, like, hey, in Q2 of this year, what were the accounts that almost made it, but we didn’t quite close on?” – Dan [38:49]

• From Vibe Coding to Vibe Marketing:

  “I like to think of it as our go to market GPT.” – Jason [39:21]
  “You can start to go down this logic ... to uncover what’s going on and, like, ... insights that you probably wouldn’t even think to figure out beforehand.” – Jason [40:23]

• Proactive Future Vision: Revy could soon prompt marketers each morning with what happened, suggest actions, and execute on approval:

  “...Over the weekend, this is what happened. Here’s my plan of attack of what I would like to go and get started on. What do you think? ... And then go into it.” – Dan [43:19]

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Notable Quotes & Memorable Moments

• On AI as a New UI Layer:

  “It looks like a chatbot but it’s so much more ... a whole different way. And I’ve seen even some people talk about [AI] as OS ... We’ve all become copy pasters ... but now ... you’re interacting with the app through AI.”
  – Dan [37:34–38:17]

• On Raising the Bar for Marketers:

  “Most marketers are really strategists and storytellers ... and you have something like Revy ... that allows you to focus on those two things and cut out ... busy work. It gets really exciting.”
  – Jason [46:51]

• On AI’s Impact on Marketing Roles:

  “Jobs will change and go up and down, roles will change, but ... a marketing department can always take more ... There will always be more place.”
  – Dan [44:43]

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Important Timestamps

• [02:01] – Jason’s journey to 6sense and ABM’s real essence
• [07:08] – AI’s role in original 6sense vision
• [12:28] – How data quality sets 6sense apart
• [16:38] – Product philosophy: signals, scores, activation
• [22:42] – Workflows: From manual to automated triggers
• [28:00] – Chrome extension, chat, email agent explained
• [33:28] – Revy AI: The new AI-as-UI interface
• [38:49] – Revy’s practical capabilities and future potential
• [41:04] – Product rollout plans for Revy
• [45:36] – Jason’s vision for the future marketer

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Episode Takeaways

• AI is moving from an invisible supporting role into the UX itself—becoming the way marketers interact with, query, and command their platforms.
• Actionable data, real-time triggers, and scalable personalization will soon become the industry standard—6sense is staking out leadership as the blueprint.
• Revy AI sets a new bar: natural language, context-aware, action-initiating assistant—the first true AI-as-UI for martech.
• Marketers’ value will shift from repetitive campaign management to strategic orchestration, storytelling, and using AI to multiply their business impact.

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For B2B marketers wanting to future-proof their skills and stack, this episode is an essential window into what the next year—and decade—will look like.

Transcript

[A]

Welcome back to the AI Driven Marketer. I'm Dan Sanchez, my friends call me Dances. And I had the privilege of doing an interview with Jason Telmos, who is the VP of Product Marketing over at 6 cents. Actually just got back from their conference called Breakthrough over in Las Vegas just.

[B]

A few days ago and I wanted.

[A]

To let you guys in on what they were actually doing with AI in their product. They had an amazing lineup of some AI tools that are coming into Sixth Sense and I think it's a big deal. It's almost an industry defining moment because they're leading the pack on what I think is going to become a standard play for a lot of big SaaS companies, not just using AI as a feature of the product, but using AI that becomes almost the new UI for how you get value out of that product. So I break down a number of different things that I think are very exciting for Sixth Sense, but I want you to pay special attention to how they're incorporating AI and what that means for, for your workflows, your tools, and of course, if you're like mid market to enterprise. This tool, Sixth Sense, you found out from yesterday's episode, but this is going to be a game changer for you. This is a fantastic tool in order to get insight into what your buyers are doing, to get insight into which buyers are actually beginning to enter the market for what it is you sell. I've become a fan of Sixth Sense after going through their conference and I am drinking a little bit of the Kool Aid here for good reason. I've seen a lot of AI tools. I'm very excited for the direction they're going as a company, me and I will be cheering for them now on the sideline from my podcast. So without further ado, here is the interview with Jason.

[B]

Stage and you were giving us the big updates about Sixth Sense.

[C]

Yep.

[B]

I love, I love the energy you were putting out too, because you're not just a VP of Product or Product Marketing, you're a past customer. Success Sense. You've been in the game.

[C]

Yeah.

[B]

You've actually been doing it. So you know the pain, you know the trial, you understand the audience.

[C]

Yep.

[B]

And I think that, I don't know that I could feel it as you were talking about it. You were excited about these new updates, but I love it. If you could go back a little bit to what it was like to be a customer, but even farther back, like for those people who have never heard of Sixth Sense, kind of give me the original vision of how you got Involved and how you got to where you are now.

[A]

Yeah.

[C]

And I remember being in that exact spot. I didn't tell the story on stage, but I started my career in marketing, but really in consulting. So I worked for a smaller boutique go to market firm. And it was basically my very first project that I had ever been on before that I was basically cleaning up PowerPoint. But my first at bat, they're like, all right, Helmos, you're in. Get in here. And I went into a company and was sitting in the room with our sales guy in the consultation consulting side. And the CMO of the company that we were working with, a couple of their execs and they're all talking about these things and they're primarily sales guys, right? So they're selling them about like, oh, we're gonna, you know, drive growth and revenue and we're gonna do abm. And everyone's like nodding their heads and I'm like, yeah, yeah, yeah, great. They're like, all right, Tomos, you're gonna, you know, deliver this project. Go, go do an abm. I'm like, all right, awesome, cool. So I go back to my hotel room and I'm like, what is that? What is abm? And I'm like, trying to figure it out. And I was talking to a buddy of mine because I just couldn't. I'm like, this is B2B, right? Like, isn't everything account based marketing and B2B, like, you're not selling to a consumer. So it took me a minute to wrap it around. And it's actually how I found out about Sixth Sense. It was my first really foray into kind of this martech world because I googled it, right? And of course, one of the first things that came up at the time was six cents. And so I did a bunch of reading, a bunch of learning. And, you know, basically since then, the way that I came to realize what ABM is and kind of wrap my own head around it was. Was pretty simple, right? Like we're selling to accounts, but really what six Sense is and what ABM vendors and kind of the space has always been is we need two things. We need signals, right? We need to understand what these people are doing, who they are, what they look like, how many employees they have, those sorts of things and scores, right? So, like, are they interested in our product? How interested would they be?

[B]

Right?

[C]

And that's really kind of at the core of success because when we talk about account based marketing, it is just, it's a segmentation exercise. Like, I want to go and market to all of these accounts, and I don't want to send them all the same exact thing. Right. Like, if I have one ad campaign that goes to a thousand accounts, like, there's no way that that one campaign is going to be the thing that, you know, meets everybody where they're at and is saying the message that's going to convert. Right. So the ultimate goal is to get as refined as you can. Like, if you could get down to that individual account level and say, what is that company? Like, what are they doing? What are they interested in? And how would I market to them? And so in order to do that, you need a lot of data and information. And, you know, there's. There are a few other options around here. This is really early on. Kind of in the days of ABM and six Sense and Sixth Sense just came out the gate with intent data and predictive scoring that were light years ahead. Anything else? Right. Like, everyone else is starting to say, like, hey, we have AR in our product. Like, that is basically, you know, what we came out the gate with.

[B]

I remember when I came into B2B first, I was working in B2C, and like many marketers who get into B2B, it's almost like B2C is your proving ground, and then you get good at it, which means you start teaching other marketers how to do what you did, and then that in that transition, you end up in B2B.

[C]

Yep, exactly.

[B]

B2B is where you grow up and start to actually do marketing to marketers.

[C]

Totally.

[B]

Right. Or something like that. I discovered abm, and it's hard to shake. Wrap your mind around it at first because you're like, oh, wait, you mean psychographics? Demographics. They're like, no, no, no, no. Firmographics, Specific accounts. We're not. It's in B2B. You know who you're targeting, and you can get literally all the contact info. You can even get the personal home address if you so desire for your accounts. But that's no longer the barrier. You know who they are, but now you have to actually market to them.

[C]

Exactly.

[B]

And while there's a future podcast episode, we're gonna go into the research about people not being to market and what that means. Yeah, it's exciting that Sixth Sense is actually getting that intent data. Did this. Did the company start with that in mind? They're like, we want to figure out when companies are going to make the move to purchase, so we could be there when they do.

[C]

Yeah, you know, it really started with there's got to be these signals out there, right? Like if, if we look at a B2B sale and we know there's a buying committee of some sort and somebody's researching, hey, I need some new accounting software or whatever it is, right? There's got to be things that they're doing. They're. They're searching for blogs to educate them about that. Right? Like there's all this activity that's happening, so how can we surface that? And so really started with building out that network, the intent network, so we can understand, get all that keyword level intent. Right? Because you had some of the other kind of players in the space or getting more of a topic level. We're kind of like assuming, you know, at the topic level, like, hey, we'll kind of pull some things together. And generally speaking, they're probably researching this topic and that's good. But what 6 Sense really was about was like, no, let's get granular in anything that you, you know, that you want to talk about. Let's go and figure that out. And then once we've done that now, how can we start to take all that stuff in here? And that's where, you know, predictive comes in for us to actually come in and kind of what, what are all those signals mean together?

[B]

I heard there's, in the early origin, there's like an idea that AI is going to be really important. Yeah, it's not yet, but it will be someday. Is that true?

[C]

Yeah, yeah, totally. And it was funny. I was talking to Veral, one of our founders, the other day, and he was pulling something back up in Figma from, you know, a few years ago, pretty early on. I'm trying to remember it was AI orchestrations or something, but it was basically, it was so ahead of its time. And I were like, I'm like, oh, this is basically like, what the. This is where we're going right now. And then what they were trying to do back then. And honestly, I think we had. It just was, it was before its time. It was like, describe the outcome that you want and we're going to use all of our, you know, knowledge with predictive and our understanding of B2B cycles and the opportunities in your CRM and we're going to figure out when you should send them an ad and what it should be. And you know, we kind of tried to go down that route and I don't know, it didn't quite take off. I don't know if we fully, fully rolled it out, but it was pretty early on. But, you know, that's always been really kind of baked into the DNA of Sixth Sense is how are we using AI to really automate a lot of these things and make decisions and get information that just wouldn't be possible with the scale, you know, for a human.

[B]

When I first did my deep dive on abm, it was probably three years ago and I was trying to learn everything there was to know about it. Six sets stood out as like, oh, like they're the best at figuring out intent. When people are sending signals, they have the best data on that. And that's kind of like that was your. Your main thing. That's why it stood out from the competitors. And I was like, okay. And I've kind of always had it. It's like, it's software, but it's kind of a data company. It's going places, but it's still kind of a data company. It's more than zoom info. Cause zoom info is just contact.

[C]

Right.

[B]

Record. It's kind of like, so this is powerful, but you still have to send it to other places in order to do anything with it. It's got to go to the app platform, it's got to go to your email provider. It's just data and recognizing it. Then it kicks it off and then you can do things with it. Great. Today, after seeing the announcements that you guys launched today, I'm like, it almost feels like six Sense has finally stepped into what the original idea was.

[C]

Totally.

[B]

And now it's got all the infrastructure, all the data.

[C]

Yeah.

[B]

You had a number of different updates today and I want to talk about a bunch of them, especially Revy most excited about. But tell me a little bit about how you feel now as a company. Do you feel like this is the moment that I can discern that? Right?

[C]

Like, totally.

[B]

Finally are at the place where we can go ahead and be more than kind of a data company.

[C]

Totally. Like, if you look at the arc of it, right? Like when you first. When we say abm, like there's a realization that it is a little bit of a nebulous term. It was a little bit of a buzzword for a while, right? Like, okay, I get the idea of account based marketing as a methodology or an ideology, but like as a software category, right? Like you've got your maps, you got your CRMs, and ABM is like that, hey, that's our bread and butter. But like, if you really look at what it is, it is those two things. It's data, right. It's signals and scores to help you segment. It's segmenting your audience.

[B]

Yes.

[C]

Right. So it's a really good segmentation platform. And for whatever reason, advertising is a thing that, that kind of got bolted on there. Right. So you see the terminus and demand base and Austin. So that's kind of their. But really our bread and butter hat was always on that data side to be able to do that. And then you've seen over the past few years, investments in sales intelligence. We brought in AI email agents right now. We launched intelligent workflows this year. And so I like to think about it as a balance. Those signals and scores being the who, like, who should we invite to this webinar? Who should we spend media budget on? Who should sales talk to? If we can help you answer who? That's that precision segmentation. And then there's the what, like, what do we do about it now? And that's where you think about the channels and the workflows that you're using to orchestrate kind of the entire market motion from there. And so, you know, we're seeing a lot of other people in the space now kind of catch up to, to the, or come up to the idea that the signals and scores, that's actually a really important piece, particularly now in this, this age of AI. Right. I think there was likely, maybe with you two for a while, you know, a belief that, well, it's data, it's a data thing. But now I think the industry is coming around to like, oh, no, I need, I need those signals. Like, I want to know when someone's researching my competitor. Like, I need to know, like, where they are in their buying stage. I need to know, like, if there's a job change here. Because that is the kind of stuff that's really going to like, inform and trigger our market.

[B]

So before data was helpful, but let's be honest, everyone was big data and we were all drowning in it. Nobody knew what to do about it.

[C]

Yeah.

[B]

But now we have this thing called AI.

[C]

Exactly.

[B]

Which can actually take action based on that data. So you're like, oh crap, who's got the Data? Oh, wait. 6Sense has been like preparing for this moment for over a decade. And now it's time, right now it's.

[C]

Time to think about what we've been doing.

[B]

Right.

[C]

For the past decade. We've had experience building out machine learning, NLP and different types of AI, all within the context of a B2B sales cycle right. Across thousands of organizations and. Right. So like, we have that domain expertise of marrying B2B and AI, where I don't know that there's another company who has the kind of legacy and pedigree experience to be able to apply that. And so now we're in this place where we have all of this data, we have all of these signals and we have the means to activate what we're doing on that side in ways that really nobody else can. And then, yeah, you mentioned rev. You kind of put that interaction layer on top and it's definitely a game changer.

[B]

You mentioned something on stage that I thought was interesting. It was kind of like a behind the scenes thing, but I thought it was worth even mentioning here because you're using AI internally in order to make even your base layer of data better.

[C]

Yeah.

[B]

To the point where you can identify the right accounts to focus on. And then you use kind of like a manual slash AI process to essentially make your data so clean that for the most important accounts it's, I think you wrote, said 98% accurate.

[C]

Yep. Yeah.

[B]

So that's huge.

[C]

And it is huge. And it's, you know, you can, you could probably go on the Internet and find dozens of companies who say we have intent data and we have, you know, this thing. And really the key differences, you know, there are one, the breadth of that intent data, like how much are you actually getting? But to the biggest one is are you actually able to attribute it and map it back to the account in the right way? Right, right. Because the name of this game is all about efficiency, like we've been talking about, which means, like, I've got $100 and I can, I got to figure out how to spend that on the right accounts to turn them into an opportunity. And so the theory is, hey, if you can tell me what each of those accounts are researching and get specific and make sure I spend the right dollar on the right campaign for that. Right. But if that matching to that account.

[B]

Is wrong, then you might be automating something bad.

[C]

You're actually becoming more inefficient. Right. So you're actually driving poorer results. And so that's where even it's not the external facing stuff that you see with success. But we have multiple patents for our network, how we de anonymize traffic and how we match things. It's called our ID graph. And that goes hand in hand with our data cleaning, our standardization, our taxonomy building. All of these things that are maybe a little bit more nerdy that a lot of our folks, probably the people here too, love this stuff. But Getting that piece right is really important. You know, I think it's easy for us to look at the rest of the industry and say, like, we're going to chase vanity metrics. Right. We want like a billion accounts and we have every contact you could ever need. And but, you know, we pretty quickly realized, like, you're just going to boil the ocean trying to do that. Right. And so, you know, coming out of.

[B]

Our diminishing returns, no matter how far you go, you know, so it's like just kind of like when they get the census data.

[C]

Yeah.

[B]

Like getting to 80%, not very hard. Getting to 90% is really hard. Getting the last 10%, extremely expensive.

[C]

Exactly.

[B]

But like, do you really need the last 5%? Probably not.

[C]

Right? Exactly. And so that's the idea, Right. If we're like, hey, we're really hyper focused, like, our mission is we need to give people as many signals and scores as they can to create those really precise audiences, give them the means to activate it. That means we have to nail the data quality piece. And so for us to this new process that our head of product for Data Prejo and his team put together over the past year is kind of layering all these other things together because we can actually go and look, Right. Part of the great thing about what we do is we have all this data that we can use to improve the data product itself. We can look at the accounts that are actually being used in six sense advertising campaigns that are in segments that our customers are creating, that are showing intent keywords for the things that our customers are selling. And so we can get a pretty good idea of what that relative entity universe is. And so that became kind of the first tranche of like, all right, we're not going to try and do this for everyone. We got the process down, but it's. It's not a flip a switch. Right. Like, we've got some systematic and programmatic things that we're doing here. We're using generative AI in a lot of places and different forms of AI to make sure this is right. And then we also have a pretty extensive human in the loop process to like, go and physically verify and validate a lot of these things. Because we want to make sure that if you know, when we give you this data, that it is not making you more inefficient.

[B]

Right.

[C]

It is actually, you know, garbage and garbage out.

[B]

You got the good stuff coming in, which makes it all so much more efficient. Yep. Now there's a number of different updates you gave and I want to spend a lot of time again on Rev AI. But before we jump into, like, the individual updates, from a product marketing perspective, I know there's usually a philosophy around the updates. You don't just like, oh, well, they want A, B and C. The users want it, and we kind of want these. Yeah. There's usually a direction, a strategic direction you're going. So how would you tell people, like, the direction you're going as far as how all these products are fitting together?

[C]

Yeah, I mean, you've heard me say it a few times already in this with the signals and scores, the activation workflow, and that's really intentional. You know, when I came into six Sense a little over a year ago, obviously with a lot of context. Right. As a. As a customer before that, and then I mentioned as a consultant, I implemented six Sense dozens of times. Right. So I've kind of been in and around the ecosystem for a while. And so before joining, there was. There was somewhat of a realization on my end that, you know, there's a little bit of opportunity with how six Sense was. Was being messaged in the market. And I think my overall judgment assessment, you know, from my own point of view, talking to customers, talking to people I know in the industry, was is that maybe there was a lack of clarity. We kind of kind of lost our sight of the, like, who are we? Like, what. What do we. It's abm, but ABM in itself is.

[B]

So much more than that now. So you're like, how do you. What's the new category? Yeah.

[C]

And you start to ask people, like, what is Sixth Sense? And it's like, well, you know, we use them for. And it was kind of difficult. Right. And so, you know, for me coming in, I really wanted to anchor on, like, let's just be clear and honest around, like, what we do, because there's a lot. Like, you can go and see every. A lot of the Martech companies today kind of sound the same thing, right? Like, we're all kind of recycling revenue.

[B]

Yeah. Drive ultimate platform all in one.

[C]

Yeah. We want to do all these things. And I'm like, guys, we, like, we build audience. And there's nothing dirty about that. Right. Like, that is the fundamental mechanism for every single sales and marketing team in the world. Right? It's like, we've got some campaigns, we've got some webinars we're going to run, we've got some things we're going to do. Who do we send it to? That is the biggest and number one question even As a marketing leader and practitioner myself, that's where things always start. It's like, are we pulling some. Like, we have a massive list in marketo we're using because like that's our send like list and we have no idea like who these people are, how they even got here. Right. And so, you know, I think that's, that's really the center of, of where we're moving forward. You heard Chris talk about is like, let, let's lean into our core competencies. Let's be clear around, you know, moving forward. This is really, when you think about six Sense, what are you buying? What are you coming to us for? It is you need data, right? You need signals and scores to prioritize and, and segment your audiences. And then you need the way to orchestrate how all those things are going to, you know, get execut.

[B]

Yeah, I know this is gonna sound kind of weird, but come from the outside, it seems like that's not your focus. Like, let me, let me, let me, let me, let me explain. It seems like you essentially, you've already done that part really well and everybody knows you for that. But based on the updates that I'm seeing and we'll cover them, it seems like now a lot of the product focus is like actually taking advantage or taking action on it.

[C]

Yeah.

[B]

More than having it, more than segmentation, it's actually like putting that data to work.

[C]

I would agree with that to an extent. So, so we have mastered, we have a really good foothold on the data that we have. But what we've seen and what we even know as our own marketing team is that we, we cannot and will not own every piece of data that, that is, you know, relevant to every single person. And so, you know, for us on the signals and the score side, it's less about have more intent keywords or something like that, but it's how can we bring in more data from more places, new types of data. And we're seeing players that are in the space today that weren't around five, ten years ago when we were coming up. And you wouldn't think of any of them as an ABM player, but you can start to connect the dots of these people who have different types of signals and data providers and new entrants into the industry. And that's I think reflective of where the industry is going is this need for, we want less of a walled garden. And like people continue to come to six sense for our intent data and our predictive score like that is by and large why our customers come to six Sense and stay with Sixth Sense because that data is invaluable for the market. And so the goal for us now is how do we marry that up with the rest of the data in their ecosystem? How do we help them bring in data from more places? And then we want to be really intentional about the how we activate it. And I'll break that into two. So there's our native activation channels. Like I think of these as like your iPhone comes with, you know, a mail app, a notes app, you know, kind of stock standard, good for the general population of people. But you can go on an app store and you can find a much more, you know, robust email app. No app, Notes app, whatever it is for a more advanced. And I think that's, you know, for us, we're be trying to be really intentional about that line. For us, things that make sense for us to own, which was, you know, has been advertising originally email and we talked about today, you know, adding chat, which I think makes a ton of sense for us. And we can dive into why. But you know, just like in data, we don't want to boil the ocean. We're not going to try to get into every activation channel. There's a lot of things that other partners, a lot of people here do they do well that we have.

[B]

No, you know, like you're not gonna out Salesforce. Salesforce, Right, right. You know, like, so you created an integration with Salesforce. We put the data in there. Or vice versa.

[C]

Exactly. Or like Lean Data is a great example. Like they have great routing, they have dual things. We're never going to want to build that. We want to work with them so that, you know, you can use that in the middle of a workflow to do some routing, those sorts of things. And that's really the goal is for us to, you know, maintain that like native activation channels that, you know, are lower market and less sophisticated companies who are coming in or just starting this journey with abm, they can leverage them out of the box. Right?

[B]

Yeah.

[C]

We also know that those are the ones kind of similar to like the Apple example that are really deeply integrated into our ecosystem and can take advantage of our intent keywords and our AI personalization and our predictive models, like they are ripe for, for those tools. And so, you know, we want to invest in those and then everything else. That's where workflows comes in. It's about how do we connect the rest of their tech in their ecosystem so that everything kind of power through six Sense you know, we hear people talk a lot about like a system of record and I think for us the term I really like to use is the center of gravity. Like we don't need to be this place that everything lives necessarily but what we really want to do is be the place that you can go and kind of push, put all the pieces together. And that's been, you know, something I think we've, we've really seen with workflows is that one big canvas that kind of you can visualize your entire go to market.

[B]

So let's talk about the workflows because I think one of the feature updates that you were like hey, we finally did this and everybody was like oh, it's like a sigh of relief because it was, I guess it was missing before was the ability to trigger automations based on signals. Yeah, that was a manual process before but now it's an automated process. All of a sudden you get some intent data. Maybe an executive changes jobs or they just raise a round of funding. Whatever the signal is totally. It can now kick off an automated workflow.

[C]

Yep.

[B]

So that's new and that releases a whole bunch of possibilities probably now but I imagine you have a roadmap of all kinds of things that's going to be able to do.

[C]

Totally. Yeah, it's really big. And so the workflows which we just released earlier this year. Right. Is fantastic and there's some really strong use cases for more of your like always on programmatic type marketing campaigns and our data enrichment. Right. So basically you have to start with a segment. So you already would have been in six sense and you would have defined a segment like you know, our accounts who are in this vertical and have this memory, employees researching these things. Right. And so like that's your starting point and then it's. You essentially set it right. Like how often do you want this workflow to run? I want to run it on demand. So I'm going to come in today and run it or daily, weekly, monthly, whatever it is. So really great, really good use cases but there's a ton of things that you don't want to wait for. The, for the upload. Right. For the, for the workflow to run. So instead of taking a large segment of accounts and essentially branching them through, so taking that one big segment, creating smaller segments, which is basically what we're doing in workflows today is we're going to say let's just, let's start with the signal that we want to listen for. And so anytime we see oh there's been a job change. We look at that one account that, that triggered that signal and then we put them through a workflow that you can dictate all kinds of things. Right. So you can say they there was a job change at Google, right. Or whatever it is. And now I can come in and I can look. Do we have all the contacts for the buying team? Oh, we don't. Okay, let's purchase and unlock the contacts that are missing. Okay, great. Now let's send those to an AI email agent who's going to use all of the research and keyword activity, everything they're doing to send multi threaded emails. Meanwhile, we're also covering with advertising air cover on top of it. Again, relevant to them. We're going to drop a notification.

[B]

Yeah, yeah. So people, it's like, oh yeah, that campaign got triggered a day ago. Oh, you can either go and turn it off because maybe it was misaligned or whatever. Maybe misfire, probably not, but. Or you could be like great, let me make some modifications and double down on this.

[C]

Yeah. And like, you know, we're talking to one of my customer, one of our customers earlier today. Like the, the power of this is like there's a lot of these scenarios that you. They're trying to do manually. Like somebody was a cyber security company, right. And they're like, so anytime that somebody's in the news for some kind of breach, right. That is immediate signal for us. Right. So we can come in. And so, you know, kind of how they've done that in the past is they've got a Google alert set up or they're trying to, you know, they do, they have account list and maybe sales teams trying to look and it's a super manual process. And that really has, was like that's ABM 101 at some point is right. You have a small amount of accounts and you do deep research. But you know, something like this now, this now we're really talking like you set up the signal that you want to listen for and then you be very clear and dictate what you want to happen coming out of that. And then that is like a next level of, you know, outside of the intent, keywords and data that we're going to provide, like you can get really specific around the signals that you need to react to for your business.

[B]

I find with data like this and with the kinds of triggers and automations you can now put into it and the AI on top of it. I mean we used to talk about ABM as Like a one to many, one to few, one to one. And all these new tools essentially pushes everything up a level. What you only could do one to one before, well now you could do it one to few. What you could only do one to few before. You can kind of scale the one to many pretty accurately now.

[C]

Yeah, totally. I mean, so like really, if you look back at it now, where the plays were past this was that we kind of traded one problem for another with abm. So ABM looked at marketing automation and said like you guys are doing all this automation, but you're doing it by sacrificing personalization. Right. So like with, with traditional demand gen and marketing automation is like we are going to sacrifice having more personalized content in lieu of us being able to like push it out, automate it. And then ABM kind of went really far the other way and said, okay, we're going to give up some of this automation in the name of personalization so we can have more personalized experiences. We have the one to one, the one to few and one to money. And that's, that's really good. Particularly when you have like a small number of accounts you're really focused on. But I think what a lot of us saw is unless you have like a very finite universe, and there are certainly companies, I worked for one of these before that is like there are 300 accounts that you're going to sell to. They all know who you are and you know who they are. And so like that's, you can get really specific. The rest of them, it's like the one to one, one to fuse. Like you want to reach all of them. You don't want to pick between which one or the other. So you're kind of using that one to one, one to few segmentation to accommodate for the fact that you can't scale that automated and personalized motion. And that's kind of the moment where we're at now is with what we're talking about and what success is. Where we're going is you can do both. You can say, I want to automate these experiences, but I don't want them to be generic. I don't want them to be small spam. I don't want them to be to everybody. I want to be specific and intentional around what campaigns and what experiences I send to who and when and why and what it's about.

[B]

Yep, a few of the things you have come out is you did a whole new chrome extension. Very exciting. Essentially what, from what I saw, you can now pull up information about an individual buyer or a company and it just kind of pulls the data based on where they're at in the funnel, intent signals they've shown and that's really cool. You've launched a chat bot, which is cool. The one I want to know about more though is your email agent. Yeah, I know there's a strategic acquisition some time ago. You know you're integrated into the stack.

[C]

Yeah.

[B]

Like what does this email look like? Hyper personalized.

[C]

Yeah. So and you know this is, this one's really interesting because there was a.

[A]

Little bit of a gap.

[C]

Right. So you've got marketing automation like mass nurture, right. Which, which there is a place for. Right. Like we're going to invite a bunch of people to an event like Breakthrough or we're going to follow up. Like you want to blast this thing out, you want to be pretty each. Then you've got like your seps, right. Who you got a BDR or something. Like they've got their cadences to go down but there's kind of this in between use case which is like as a marketer I don't want to always wait for or have to put everything on the BDR SDR to have any type of personal interaction. Right. So we want to have somewhat of a personalized touch in the middle of that customer journey, that buyer journey and not wait until they're all the way at the end to finally be like hey, hey Steve, how are you? Right. Like and so that's where AI email comes in and it's really interesting, right? So you can think about what everything we're doing with our signals and score side and say okay, we know who this account is, we know they're in our icp, we know who the people are at that account and what they're researching and probably kind of what, you know, they're where their head's at and what they're doing. And we can take all of that and use it to write an email again, somewhat of it ahead of its time because we, we've had this for number of years, right. And like now we're all starting to see kind of this.

[B]

Can you trigger email to be personalized based on an intent trigger?

[C]

Yeah.

[B]

So like someone raises a new round of funding, bam. You're starting to send emails to the top five, the whatever you define as your buyer group, right. The people that are most likely to be the ones thinking about your software or whatever you're selling. And then it automatically, automatically starts a pre built campaign based on that trigger.

[C]

But that's exactly right with a little nuance. So once we, once we get signals live, that trigger will work. Right now it's pretty similar, but it has run through a segment. Right. So like, we basically look and say, hey, if they're researching these types of things, then we want to push them to this email agent, and that runs, you know, whatever. So if tomorrow morning they wake up and Acme triggers that thing, then it's like, okay, they're going to be in this email agent, and what it's doing is you. You have these reply scenarios, right? And so that was another big thing we talked about today. But so there's kind of a handful of stock reply scenarios. Like, you know, are they engaging with you? Are they asking, you know, like, are they punting it to another person? Did they not respond? And it kind of just gives the AI instructions of what to do and how to respond.

[B]

Okay.

[C]

And then, you know, so the email goes out. If a reply comes in classified by AI to figure out which bucket it goes into, and then depending on where it falls, we can reply to it. Right. And so now with customer reply scenarios, you can actually dictate whatever scenario you want. So, like, if they mention our competitor or they bring up pricing, or they say their favorite color is blue, you know, here's what I want you to do. Right?

[B]

Yeah. Do you essentially have to create like an FAQ database to handle every single response?

[C]

No. So it's, you could, you could if you wanted to. So, like, if you wanted to, if there are really specific things, you're like, hey, if they ask about pricing, like, this is exactly what I want. Or like, if they say, like, hey, if they bring up some FUD against one of our competitors, like, we want to make sure, like you do, otherwise it's going to handle all of those for you. And you upload a knowledge base and there's a training process to kind of, you know, dictate the things are important. It'll understand your, your brand and your, your product and everything there. And so it kind of maintains voice.

[B]

But essentially it's, it's email, but it's working like a chatbot. It's just a slower conversation. Right. But you give it a goal. Here's your purpose. Here's. Here's the scenario we're sending out. This is what's being sent out. When they reply, here's where you're trying to get them to. Here's some common objections that you can handle.

[C]

Exactly.

[B]

But I mean, all conversational AI kind of Handles it the same way.

[C]

It's really no different. Right. Which is why you saw us do this with chat. Because I think it makes a ton of sense. Right.

[B]

It's the same tech.

[C]

The idea is like, hey, we've got some kind of generated AI that has a knowledge base behind it that can handle different reply scenarios, understands our business and our product. And right now that lives in an inbox. Right. And then now it's going to live in chat. And you know, the thing, to me that's most important, why those two channels in particular, I think are we talked about the intentionality with our, with our activation channels. Those two are big because they become signals themselves.

[B]

Yeah.

[C]

Right. So, like, if we think back to the signals and the triggers that we're thinking of workflows now, I can also set up a signal that says, hey, if somebody is on our website and they start chatting with our chat bot and they ask about our competitor and they want to know the differences, like that's, That's a signal. And now I can dictate whatever I want to happen. Right. Like, maybe I'm going to send an email to them. Maybe I'm going to put some air cover. Like maybe I alert my sales team that as a company is on the account they're asking about X, Y and Z. Right. So now you can get really specific around the types of interactions you're facilitating.

[B]

That's exciting.

[C]

Yeah.

[B]

And Sixth Sense pretty much has the monopoly on the intent signals. I'm like, well, I wish my CRM could do that. It cannot do that.

[C]

And that's kind of. That's where we want to play though, with everybody else. Right. It's like, you know, everyone's got. And got their, Their, their secret sauce too. So.

[B]

Yep. So the last thing you guys were kind of finished up with, which is the most exciting part, which is thing called Revy AI.

[C]

Yeah.

[B]

So give me, give me the big picture view of Revy.

[C]

Yeah.

[B]

And then I have questions to follow up with.

[C]

Totally. Yeah. Of all the things, this is probably the biggest one for me. And, you know, not just because it's a conversational thing. Like, we put aside the fact that everybody.

[B]

It's more than a chat bot. Yeah, it's more than that.

[C]

Yeah. They're an understanding for us internally that, like, this is an interface that everybody is moving towards. Right. There's nothing necessarily unique by the fact that, like, hey, you can talk to this. For me, why this is so important is that I think of this as an entirely new interaction layer. And the Way I like to think about it is if you remember Steve Jobs, the iPhone, the original announcement, right? You know, it's an ipod, it's a, you know, those sorts of things. But he gets there and he talks about multitouch. He spends a lot of time talking about multitouch. And it's his new thing. And you can pitch and zoom. And multitouch itself is not a product, it's not a software feature that you see inside of the iPhone, but it completely changes how you use the product, right? It enables use cases that would not have been possible before entire industries and apps and everything were born out of the fact that there is this new way to interact with something. And so for us, that's. That's what Revi is. You know, myself as a customer, we talk to all of our customers, a lot of people. The reason that there are thousands of people at Breakthrough right now is because people understand and realize that there's a ton of power and a ton of data baked inside of six Sense and they need help trying to do something with it. Do something with it, right? Because it can be tough. And we've got features. I told someone the other day, I honestly believe that we could not produce a single new feature in six Sense for two years and just re release a bunch of things that most of our customers don't even realize we have. And it would be super impactful. We're not going to do that. So that's why Revi, I think, is really important to me, right? Because it finally pays off. The purpose of being able to create precision, segmentation, right? And intentional intelligent orchestration. Because if you think about some of the common use cases, and I think is the example we gave on stage was like, I want to find all of the accounts who are current customers that are coming up for renewal, that haven't been on our website that are researching competitors, right? And like you kind of rattle off this thing, it's like what I have in my head. Well, it's like we actually tried this example too with one of our customers. And it's not impossible, but it took long enough for us all to be like, I don't know, like, which CRM field is this and what's the like. And so you know that that level of complexity, particularly for some of our users who aren't like power users or they're new to six Sense, the learning curve dramatically flattens now, right? Because it is just a matter of, hey, can I describe to you the types of accounts I want to target? Right? Can I describe to you the advertising campaign I want to run and why I want to run it, what my objectives are, and then let it kind of, you know, process and do its things. And then the last piece is what I think we hear a lot of people ask about is, is the data and the reporting underneath it. So we've got a really robust reporting and analytics suite a lot of customers don't know about, or they know about the one report that they really use and they ask about something. We're like, yeah, it's right here. Because that's like our. We're smart, right? They're like, I know, I know. Six Sense has this data, and this data exists in my CRM and this is over here in Map. And so I want to know all of the accounts who are like, doing this and showing this intent, and they're also in CRM and like, so like they want to connect all these dots. Right. But it's almost impossible to do that. And so now in a world where you can actually just type in what you want, all of that stuff becomes much more accessible.

[B]

And for those. This is a video podcast. I know you could see us talking, but I don't have. Not going to have a visual up on the screen. This feature is brand new. Maybe if I get the video asset, I might be able to throw it up there. But if not, then this looks it. It looks simple, it looks small. But when. As soon as I saw it, I was like, oh, my gosh, I knew this was coming and it was. It was a matter of time. But I hadn't haven't seen anybody else do this yet. I knew it was around the corner and I've seen people fake it and it's not quite that. Yeah, but it looks like a chatbot just coming up in the corner of the app. Right. It looks like a chatbot, but it's so much more than a chatbot, because a chatbot doesn't have context. This one has the context of the whole database.

[C]

Exactly.

[B]

Plus information about your business. You have to fill it in and it can take action. So for me, I'm sure a lot of people have positioned it as agent. Agentic. I'd say the email thing is more agentic because it's autonomous. It can work without you. This. I think you said this from the stage too. It was like AI as you. As ui. Right. User interface.

[C]

Yeah.

[B]

It's like a whole different way. It's. And I've seen even some people talk about as AIs OS. You know, it's a whole operating system.

[C]

Totally.

[B]

We're used to clicking around SaaS.

[C]

Yeah.

[B]

Around the graphs and the fields and like, maneuvering and move. We've. Because of that, we've all become copy pasters. I don't know about you, like, totally. Most of my marketing career is now spent just copying and pasting information from one place to another.

[A]

Absolutely.

[B]

But now with this, you're interacting with the app through AI. You're like, hey, run this campaign. And it asks you a question, maybe follows up, and then you're like, oh, yes, that, let's do that. Or any kind of report you want. That was always a nightmare. I felt like marketers spent maybe half their jobs defending what happened or trying to pitch what they should do. Like, half of our jobs as marketers, especially in B2B, is just that. But now if you have something like this, you could be like, hey, like, what's working? Like, as vague as what's working well right now.

[C]

Exactly.

[B]

And it could try to figure it out. Or you could be highly specific, like, hey, in Q2 of this year, what were the accounts that almost made it, but we didn't quite close on?

[C]

Yeah, you know, exactly.

[B]

It can give you that. And then you could be like, hey, what are some strategies we can do to circumvent that? And then you could be like, okay, do that.

[C]

Yeah, exactly.

[B]

And it will start taking action for you. You're like, oh, my gosh.

[C]

Yeah. And again, informed by decade of AI and B2B experience. And those two things married up. Right. Like, I, I like to. To think of it as, you know, like everyone knows ChatGPT. Right. Like, I like to think of it as our go to market GPT.

[B]

Right.

[C]

Because it really is that. It's that, it's that chat interface. But the important part that you called out is that it has the context. It has all of the context of your six sense instance, the data across the six sense signal verse. And, you know, assuming you're a predictive customer, like when we've, when we've built your model as a predictive customer, we've literally gone in and looked at the past, you know, X number of years of all of your opportunities in your CRM. Excuse me, to understand which ones are most likely to become opportunities. And so all of that learning and all of that, you know, the graph that we have behind the scenes to associate intent with accounts and opportunities, all this stuff, all that's available to revi. Right. And any of the other systems that you have connected in with six Sense and So now there's a brand new opportunity for you to go in and like, you know, using six sense and building segments and pulling reports, like that's going to be the initial thing where it's going to solve massive problems for people. People, I think right out the gate. And then what we're already seeing, you're starting to get to go down the path is, you know, everyone's vibe coding right now. Right? That's a sure. Like I, I like to think about it as vibe marketing.

[B]

Right.

[C]

Because you can start to get into this thing as like, all right, how was our pipeline last quarter? Oh, it was down a little bit. Like why, what's going on with that? Have you seen anything weird? Well, you know, you had less a pipeline from, you know, that were drive by CFOs, like, oh, okay, what's going on? Do we have coverage? And you can start to go down this, this logic steps to uncover what's going on and like just an interaction and insights that you probably wouldn't even think to figure out beforehand. Right. So it unlocks just totally new motions.

[B]

We could do so much more with this. And I think this is only the beginning, right? Like this is stage one. I have some predictions on what would happen next and I'll run by and see what you're thinking. But I have to ask first, like, this was just announced today. When is it actually coming out?

[C]

So that's the cool thing. Like, you know, we've been kind of sitting behind the wings. Everyone's been releasing agents and stuff like that over the past year or so. And so we've thankfully have like ignored the reflex a few times to just like push themselves out and they do that. And so we've been working really hard on this. Now we're at the point like, this is. This is there. I've seen it, I've used it and the original beta for it. We're going to put it in beta first, right? So we get in front of all of our customers, everyone start using it. You know, it is generative AI. So it's going to, there's going to be things and right. So like we want to be really clear and open around. Like this is not like, hey, magic pull potion. You do the thing and it's going to just do. All right. So we want to make sure, we want to see how people are using it so we can optimize for the things. Right? Because there are. When we think about agency, right, there's like email agents, but for us there's also agents within Revy, which are basically just like, specialized tasks that we know. Right. So we get this in our hands of our customers as beta, like in two months. What is it? November. So I think end of January, February, I think, is what's coming out. So really, really soon. Um, and then start to see where people are going, what they're doing with it. Right. And then if we started, like, okay, like six QAs and reporting analytics, like, that seems to be a primary thing. Like, let's get really specialized in with the agent that, you know, we're building to make sure that we're, like, getting really sophisticated with within that domain.

[B]

Yeah, I love where it's going because it's just better. I don't think any of us love working with SaaS unless the SaaS has some, like, funny things in it, like email, like mailchimp used to. And Asana kind of has now, like, mo. Most of us would rather just be able to ask a question and get an answer or say, go and do this and delegate it.

[A]

Right.

[B]

What I'm excited about is that I think people will vibe code apps and they say, like, oh, software is going to end. I'm like, no, because, like, all the software companies can vibe code too. So it's like they're going to keep building on a competitive advantage in data. There's nothing they can do. But people will probably start to vibe code apps on top of it, you know, and build little things and all little personal extensions. Like the. The marketplace for extensions will probably die off a little bit.

[C]

Yeah.

[B]

But eventually. Eventually I'm like, well, something like this Revi tool can eventually be proactive.

[C]

Yep.

[B]

And show up and be like, hey, well, good morning. It's good to see you on Monday morning. Over the weekend, this is what happened.

[C]

Totally.

[B]

Here's my plan of attack of what I would like to go and get started on. What do you think?

[C]

Yep.

[B]

And then you could say, make it so.

[C]

Yeah.

[B]

And then go into it. Right.

[C]

Yeah.

[B]

Yeah.

[C]

I think that's definitely some flavor of where we're headed. Right. Like, you know, there's a lot of hand wringing, too, around kind of what this means for. For us as marketers. And it's a little bit of like, potentially catch 22. Right. Like, is this. Are we. Are we creating the software that's going to get rid of me as a way? And I just. I don't think that one is not realistic. And. And to, like, this is. This is an extension of. And really an evolution of. Of marketers primarily. Right. Of, like, Kind of our order in the organization and something like Revy is going to change kind of the way that marketers interact within a go to market organization. And like, yeah, there's going to be new motions. Like I, I think we will start to see new roles like go to market engineers, go to market architects like Latin spoke about earlier that are doing more of this vibe marketing type thing alongside of an intelligence like Revy who, who has the context of all these things, the ability to act on it, but is still very much being informed by the expertise and business acumen and everything that lives with the marketer.

[B]

There's a lot of things that give me hope that we're not gonna all lose our jobs, but one in particular is that marketing tends to be a black hole. You can always give it more time, more effort, more talent and a marketing department can always take more.

[C]

Yeah, exactly.

[B]

It's a never ending thing. You have to feed and there will always be more place. Jobs will change and go up and down, roles will change, but that will probably continue to be true.

[C]

It's gonna be, I mean if you play it out right, like if you got all the like autonomous buying agents, you've got a ton of selling agents, at some point they just start buying, selling to each other and then the whole thing just explodes. Right? Because like nothing's happening. So there's always going to be, you know, humans in the loop to really orchestrate it. I think just the level of, you know, orchestration, our role and involvement in it, we'll just continue to elevate to the kind of the next year.

[B]

So to wrap up, what are you excited about for the future? Like if you could paint a picture of like what AI and you could do it in vague terms or be specific if you'd like, like three years from now, maybe even five years from now if you want to be that bold. What does life look like in marketing?

[C]

I think it's going to be, in some ways it's going to be similar, but I think in a lot of ways it will be different. I think you'll see a shift away from a lot of really individual specialized roles into what I think ultimately good thing for marketing is more mature and more in demand roles. Right. So like we may have like an entry level like hey, you come in, manage my social media or something like that. Like I think you'll still have bits and pieces of that and we'll certainly have a funnel, but. But now I think you'll start to see marketers command more of a demand and presence within the market. Similar to, like, a developer. What? Right, like, because. Because now we're. Now we're not talking. Can you. Can you push the buttons to press the thing? It's like, strategically, how can you think about our business, the market that we're in, how we can go after it, what our competition's doing? And you can scale yourself and your knowledge. Right. With. With something like this. And so I think it will change, you know, a little bit of the. Of the order of things within marketing and how, you know. Know what we're actually able to do and really how we're seeing kind of within the rest of the organization.

[B]

Yeah. So as knowledge and intelligence increase, discernment wisdom starts to become the. The thing we all value the most.

[C]

Yeah. And I think at heart, most marketers are really strategists and storytellers. Right. And so, like, you bring those two things and you have something like Revy and the rest of six platform that allows you to focus on those two things and kind of cut out the other work. That's like, busy work. It gets really exciting.

[B]

Oh, cool. Thanks so much for spending some time with me.

[C]

Yeah, man, been great. Thanks for having me. Appreciate it.