The 3 Domains of AI Agents in Marketing — Fireside Chat with Scott Brinker & Warren Zenna

Julia Nimchinski:
the godfather of Martech. Welcome.
Scott Brinker:
Hey, Julie. Back with you.
Julia Nimchinski:
Amazing to have you here, and Warren.
Warren Zenna:
Hello, hello, hello!
Scott Brinker:
Hey, Warren!
Warren Zenna:
Alright. Good to see you again, Scott. Hey, Julia.
Julia Nimchinski:
Hello, and yeah, let’s start with your predictions for AIGTM 2026, and then the stage is yours. It’s cold. One, top prediction for next year.
Scott Brinker:
One, top prediction, it’s the agents of customers that disrupt the whole thing as we know it.
Julia Nimchinski:
Amazing. Warren.
Warren Zenna:
We no longer type, we talk into everything.
Julia Nimchinski:
That’s unusual.
Warren Zenna:
On this note.
Julia Nimchinski:
The stage is yours.

Warren Zenna:
Alright.
Scott Brinker:
Let’s start talking!
Warren Zenna:
All right, yeah, let’s talk. Hey, Scott, good to see you again. So, let’s, kind of do brief introductions. I’m Warren Zen, I’m the founder of the CRO Collective. We help Chief Revenue Officers succeed, and we help companies build CRO-ready organizations, and it’s great to have you. Scott, you have an incredible background. Why don’t you just let everybody know, sort of, who you are, and what you do, and some of the amazing things you’ve accomplished.
Scott Brinker:
Well, thank you, Warren. Yeah, Scott Brinker, I am a MarTech analyst and advisor, at chiefmartech.com, if you’ve ever seen those crazy landscapes of, 15,000 plus marketing technology solutions. That’s one of the artifacts I am sadly responsible for. But I’ve also been in the space for years, built a MarTech SaaS company of my own, ION Interactive, many years ago, and then for 8 years, I built HubSpot’s technology partner ecosystem. So, it’s all MarTech all the time for me.
Warren Zenna:
Gotcha. Well, you know, as per our original conversation we had when we first kicked off, it’d be great for us to frame when you say MarTech, what do you mean? I mean, I think we all do, but you seem to have a bit of a different perspective on that answer than I expected.
Scott Brinker:
Yeah, well, I mean, there’s… I think of MarTech very broadly, which is any technology that a marketer is going to use to be able to connect to their customers and their audience. So this certainly includes things that were built very specifically for marketers, but also includes a lot of technologies that are adjacent to it. I find marketers typically do get involved in revenue operations-related work, they’re a stakeholder in that. You know, sales enablement, you know, on the other side of things, like, you have universal data systems like Snowflake or Databricks. They’re not MarTech, but boy, at mid-market enterprise companies, marketers sure want to leverage them. So, if marketing touches it at some point, I think of it as MarTech.
Warren Zenna:
Okay, great. That was helpful, because I remember when we discussed it, we were talking about SDRs and SDR tech touches marketing, so there is a relationship there between somehow the sales handoff and the marketing handoff, and I thought that was a kind of interesting distinction there. So in your white paper, I want to talk about this, like, this, MarTech for 2025. You have, like. basically 3… key areas, right, that are shaping AI agents for MarTech. Would you please expound on those, and tell a little bit more about what those three components are?
Scott Brinker:
Yeah, so, in our MarTech for 2026 report we just published, I think probably if you Google it, you can just get the PDF anywhere, it’s ungated, Of course, the main theme was going to be AI agents, because if there’s been a theme for 2025, it’s been AI agents, and agentic this, and agentic that. But what we wanted to do was sort of, like, break that down into, like, okay, when we talk about AI agents in marketing. what do we even mean? And we categorize them into 3 large blocks. There’s agents for marketers. These are tools, you know, typically like the stuff that’s being built into Salesforce, or HubSpot, or, you know, things that are really focused on helping marketers accelerate the work they do behind the scenes. This is production and creation of content, or analysis of data. Very useful. Mostly efficiency plays at this point. Second category would be agents for customers. These are things that marketers, or more broadly the go-to-market team, control. Things like chatbots on your website, AI SDRs, in B2C, shopper concierge tools that exist on the e-commerce site. Now, these are interesting because they’re designed to interact with customers, you know, they’re for the benefit of customers. But actually, they’re for the benefit of the business that’s running them, you know, the marketers control them. And that’s an important distinction, because the third kind of AI agent that we’re seeing is what we call agents of customers. Not for customers, of customers, because these are agents that are actually truly working on the customer’s behalf. Frankly, the simplest examples today are when people are using things like ChatGPT or Gemini or Claude to be able to do deep research on companies or products that they might be interested in buying, that discovery and increasingly evaluation stage. We’re even seeing now in B2C, even being able to carry all the way through to purchase of the transaction. I just saw Instacart, you know, launched in ChatGPT here. So, these are the three large categories of agents, and they’re fascinating. The point I was making earlier when, Julie asked for, like, one prediction. These agents for marketers and agents for customers that we control, don’t get me wrong, they’re very innovative, they’re bringing a lot of ways to improve marketing and go to market. It’s those agents of customers that I think are truly disruptive to, you know, marketing and go-to-market as we’ve known it.
Warren Zenna:
Well, let’s talk about that. So, I think it’s fascinating. So, if you don’t mind, just describe a couple of examples so we understand what those are. What’s an example of one that I might be interacting with right now that fits into that third category?
Scott Brinker:
Sure. Well, I mean, again, in B2B, the… probably the best example would be, okay, let me… You know, I’m interested in, a new customer engagement platform for my own business. Okay, so, you know, before, I would have done a Google search, maybe found a few links, I would have, like, tracked down, gotten, like.
Warren Zenna:
You know, get a white paper from, you know, this business, you know, get logged into, getting a, you know, sales discovery call with this other business.
Scott Brinker:
You know, but now, those… increasingly, those customers are not even, like, clicking through to people’s sites right away. They’re having that entire discovery and evaluation engagement inside something like a deep research, you know, in chat GPT. Now, this doesn’t mean that’s completely disconnected from your business, because, you know, I mean, ChatGPT isn’t making this stuff up, well, okay. most of the time, it’s not making this stuff up, you know, right? It’s trained both on, you know, the data, you know, and the content that you might have already published on the web. But also, part of what makes these things agentic, you know, is a lot of times these AI assistants, they aren’t just, you know, relying on the data that they scraped a year or a year and a half ago. They actually go out and they do their own version of, like, searching, they do their own version of engaging dynamically with a site to pull in additional data. It’s just the agent is doing that on behalf of the prospect and customer, and sort of summarizing, you know, and basically presenting the interface then to the customer, instead of you, as the marketer, having that direct connection.
Warren Zenna:
Gotcha, yeah, it’s interesting because, you know, I just did this recently, so I’m in the market for a new car. I’ll say truck. And, you know, I did some research, and it was amazing. Aside from doing all the research for me. The amount of data it gave me back was incredible. I mean, it took me much further down the funnel than I ever would have gotten on my own. In fact, what it did was it actually gave me a script of how to talk to the dealer to make sure that I ended up getting the right price. And it ran through an entire strategy for how to make sure I didn’t get screwed over by the guy that I’m talking to, what to look out for. It was really fascinating, and it also identified 5 dealerships within my area where that car was actually on the lot, where I can call them up. And I can use the VIN number to act… it was amazing, and I just… literally, I probably, like, two or three questions asked. So this was clearly an example that you’re talking about, where I’m independently using these LLMs, or Langemouth, to look for things. And I could see how the sophistication of that is pushing people further and further away from the outbound funnel. Which is making it harder and harder to sell to people, because they’re a lot more educated. So I’m just curious, what are your thoughts on how this is impacting the way we sell, not just market, because the customer, as they get more proficient with these things, it’s creating a bigger distance between the way we can influence people, because they’re being pre-influenced by a much smarter sense of technologies. How do you think, like, what’s going on there, and what’s the curve on that as we get closer and closer to this becoming almost like a normal reality?
Scott Brinker:
Yeah, I mean, the big problem is there is one scarce resource that we haven’t solved, and that is the actual human intention that a buyer has. You know, we have, like. 24 hours in a day, you know, maybe only 16, or hopefully only 8 or 10, whatever it is. You know, there’s a very finite number of hours in the day. And one of the challenges that has happened in marketing and sales overall is in partly because we’ve now got so many channels by which we can go after prospects and customers, but also the degree to which we’re leveraging so much automation and data, you know. I mean, again, you hire… higher, in quotes, you know, an AI SDR, you know, for it to just tirelessly, you know, do thousands and thousands of outbound reaches. yeah, it doesn’t require any extra time or effort on the seller. Now, for all those buyers who now, like, oh yeah, this is just, you know, a continued growth, you know, of these things fighting for their attention. It’s been really overwhelming. And so what’s kind of exciting here with these agents of customers, we’re seeing it first and foremost with things like ChatGPD and Claude, is now all of a sudden, like, you know, these prospects, customers are able to say, okay. I’m actually going to tune more and more of that stuff out. I know what I want, or when I want to discover stuff.
Warren Zenna:
Yeah.
Scott Brinker:
frankly, my AI agent, I don’t know if you use, like, that ChatGPT pulse, but oh my goodness, every morning I wake up and it’s found things.
Warren Zenna:
I do.
Scott Brinker:
relevant to what I want, and it’s, like, awesome! You know, and right now, this is in that sort of, you know, AI assistant interface. I would be willing to bet we’re going to see this same capability infiltrate our email inboxes, because people are kind of tired of having to, like, sort through all the craziness that comes into their inbox. That doesn’t necessarily mean they won’t find it useful at some point, but they, as the human, don’t want to be the person having to, like, manually process or think through that. They want their AI agent to, like, keep track of that, and at the point in time, hmm, you know, now maybe I’m ready for this, the AI agent has all the emails that were ever sent, it’s like, oh, well, here’s the deal they offered you on this, or, you know, you want to talk to Joe at so-and-so, do you want me to arrange, set up an appointment with Joe for you? I mean, it’s gonna be cool, the buyer’s gonna take control of the journey.
Warren Zenna:
Right, and to some degree, what’s happened right now is the buyer is tuned out of the journey, right? They’re just tired of it, right? And now they’re becoming more involved on their end, so… what does this do with the MQL and with attribution? Like, where do we take the next step, and what does a marketing organization get measured by when we know, for example, that the buyer is probably so far down the funnel already? Where do you see this happening from, I’m a chief revenue officer, and I’m running a marketing organization underneath me. how do I use marketing effectively in this new paradigm that you’re talking about? What are your, like, sort of predictions on the way that’s going to look?
Scott Brinker:
Yeah, I mean, this is part of what we’re figuring out, but I mean, ultimately, there is the cost to acquire a customer, and the lifetime value of a customer, and this life ratio is… this is one of these things that doesn’t change. Now, the question becomes, you know. how much intermediate data are we able to get as we’re trying to, like, win that business from a customer? I mean. we got a little bit spoiled over these past, particularly 10 to 15 years, you know, we really got to the point of feeling like we could instrument many, many micro-stages along someone’s journey, you know, and even if those weren’t perfectly correlated to ultimately what converted someone as a customer or not. it became very easy for marketing to say, okay, well, I’ve got someone who’s running my SEO team, and this is how I’m gonna measure them based on, you know, the number of click-throughs we get on this, and, you know, I’ve got someone running my email thing, and they’re going based on, you know, the list, and the open rate, and the click-through rate, you know, and now as, you know, those sorts of signals start to fade, it’s like, alright. We still need to create great content, we still need to be able to, like, you know, when the customer wants something, be able to make sure that we’re able to deliver it for them. They were just talking in that previous session about how, you know, like, brand and story and, you know, I mean, these things aren’t going away. The attribution part is gonna get harder, but the importance of doing really great marketing and developing that brand I think it’s, like, more important than ever.
Warren Zenna:
I would agree. And I would agree that, from that earlier panel, too, that, and I believe, frankly, that brand and story has taken a side role to things too much, in my opinion. I think there’s too much metrics, and too much measurement, and too much outbound, and in a way, I’m kind of really planning good for the market that it’s not working as well anymore, because I think it became something that became kind of not only annoying customers with, but I don’t think it means as much anymore. I’m seeing a great deal more usage of storytelling, brand, differentiation. value, it’s going to make it harder for companies to survive just on being able to send out a really good email and have to actually tell a good story, and it’s also going to produce better products in the marketplace that compete better. I think it’s going to do that for us. It’s going to democratize things more. But at the same time, too, you know, when you look at the traditional organizations today, there needs to be some way in which we measure the success of an organization to see how you’re doing, how is it working. And this goes into the place of, like, search engine optimization, which, you know, we figured out with Google. I have an agency that we do this. We have a really good job of making sure that we understand how to understand user intent in the Google environment. Now we’re trying to figure out how to understand user intent inside the AI environment, which is ethereal, and it’s hard to look at, and it’s hard to understand.
Scott Brinker:
It’s true.
Warren Zenna:
Changing all the time. Someone recently called me and said they found the CRO Collective in a chat GPT search, which I was really thrilled about. I was really happy about, right? But I’m curious, though, what are your thoughts on the way in which now marketers or we, and some degree of prognostication on your part, are going to be able to sort of influence this new… domain. Because you sort of have to influence it to some degree, or else you’re sort of at the mercy of it, right?
Scott Brinker:
Yeah, and the truth is, we are, you know, it’s just… this is a little bit like the very early days with Google, where obviously we knew, you know, Google was absorbing content, and then it had its internal algorithms by which it would decide, like, okay, was it rank, and for which keywords? You know, and it took years, you know, collectively, for the whole SEO profession to, like, really turn that from a bunch of science fair experiments into, like, okay, we’ve kind of got this down to a playbook, and then Google changed a few things, and we’d have to adjust the playbook, and so on. We’re kind of in that super, super early stage here with what has now become known as AEO, answer engine optimization, the AI equivalent of it. You know, and there’s, like. A few dozen companies are actually right on the frontier of developing AEO-type products and services. You know, companies like Scrunch or Profound or folks like that. And they’re fascinating, because a number of them… alright, there’s a couple techniques just to make this really concrete, you know, that you see them doing. One is they actually do, a monitoring, if you will, within these AI engines, where, okay, based on your brand and things that are relevant to you, they’re doing their own answer questions to be able to find out, like, okay, where are you showing up? Where are you getting a citation? They’re not a perfect match to what any particular customer… but directly, they give you a sense of, like, okay, well, here’s where you are, here’s where, you know, you seem to be, you know, within this AI engine’s model, you know, of how it’s thinking about this particular area. The other thing is they’re definitely looking at, as these agents, whether they’re training agents for the AI engine, or even these, like. Sort of more real-time agents, visiting to, like, get the latest information. to be able to recognize those incoming agents, and to be able to make sure that they’re serving up the content and the data in a way that is most easily consumed, by those agents. It’s kind of funny, Google actually dissuaded people from doing that.
Warren Zenna:
Yeah, just do it.
Scott Brinker:
for humans, and then, you know, we’ll figure it out. The AI engines are like. You know, do it for humans if you want, but actually, here’s the format we would prefer for the data, you know? And so, being able to do this and track it, track those referrals. again, it’s, I would say, as much art as it is science right now, but I think we are seeing an emerging set of practices where we’ll be able to know both how we influence these AEO, these AI answer engines, and also, like, yeah, what are we seeing coming from that on the other side?
Warren Zenna:
It’s fascinating. You know, someone here mentioned in the audience a question related to what you said before about human intent, which I agree, it’s hard to understand what humans really want, right? Even when they tell us what they want, we don’t even know what they want sometimes, right? What do you think that is going to happen? How is that going to evolve, in your view? I think there’s a lot of data out there that AI will be able to decipher from a lot of data to see what people are thinking over time. There’ll be a lot to crunch more stuff around human intent. Do you see these sort of Customer… for customer agents being able to be better job at determining more precisely what people are looking for, or is it still going to be a big mystery? What are your thoughts on where we’re going to go with that?
Scott Brinker:
I mean, so many ways it could go. I guess I would say, first of all, even today. Most companies do a relatively poor job of tapping into all the sources of intent that they really could. You know, like, I’m right in the middle of a project with a company here on, like, loyalty systems, you know, for B2C, and it’s, like, amazing, like, you know, the degree to which if you actually want to pay attention to what people are saying about you, you know, in social, in review sites, in, you know, you know, other kinds of, like, communities and things like this, or, you know, if you actually truly want to instrument the way in which people engage with your digital product, whether it’s a website or a mobile app or an e-commerce store, and be able to feed all of this data into a centralized location where it’s well-maintained, and you’re able to feed that in to now things like machine learning algorithms or LLMs. I mean, there’s a ton of intent insight, you know, that you can actually get today. But again, most companies just haven’t really instrumented or implemented. And to me, I think, you know, that’s sort of what we can carry on here into the agentic future, where we’re going to have both humans doing that, but we are also going to have agents acting on the behalf of humans doing that. you know, this is where the hand-wavy part is of how well will we be able to connect what is an agent to a particular human behind it, you know, but I think we will nonetheless be able to start to track agentic behavior, and based on what it’s asking, you know, and how we respond, you know, be able to keep track of that as part of a journey that eventually we do stitch to who the customer was who was interested in that.

Warren Zenna:
So, I have a question, like, the people who are on the… in the panel listening right now, that are vendors, that are out there right now, trying to compete for market share, what is your thoughts on what they should do to adapt to this new world? What are some early things they can start thinking about? To give them a competitive advantage as we learn more and more of the customers getting smarter and smarter and doing more and more internal research with these agents.
Scott Brinker:
Alright, let me just make sure I know the question. Are we talking about, like, people who are creating.
Warren Zenna:
me selling something for somebody, I have an audience out there that I’m trying to buy things. What are ways that I, as a seller of offering a product, a service, can get ahead or have a competitive advantage when I know that this is now going on in the marketplace, that people are using these agents more and more and more to do their own research?
Scott Brinker:
Okay, first and foremost, pick one of those AEO vendors, you know, and, like, a number of them offer, like, a free audit. You know, like, do an audit of where your current content is. There are becoming a set of emerging best practices of, this is the kind of content and the way it can be formatted that’s going to have the greatest influence. Start with that, because you probably already have a lot of the raw content, it’s just a matter of, like, okay, let’s get this, you know, structured in a way that’s going to give us as much influence as possible. You know, the second thing is, and this is nice when these things have, a serendipity to them, is the evidence seems to suggest that most of these AI answer engines They’re not so much following backlinks the way, you know, Google did, but they are tracking mentions, you know, of your brand in various places that they’re scraping all across the, you know, web. Reddit is, like, become one that’s popular.
Warren Zenna:
Sure.
Scott Brinker:
So, like, thinking about this idea of, like, okay, if we want to be known as this brand for this set of characteristics in this category. how do we make sure we’re engaging with people who are going to reinforce that story for us outside of our own channels? You know, I mean, it is truly… earned media is, you know.
Warren Zenna:
For sure.
Scott Brinker:
if not more valuable than ever before. And so I think if you even just started with those two things, like, let’s get our core content, you know, structured in a way that’s really AEO-friendly, you know, and let’s make sure that we’re really giving thought to, like, how our brand is being represented in all these other external sites as well, too. I think that’s a lot of leverage, and even if AI wasn’t here at all, you know, it would still be valuable to engage in with, yeah, for sure, you know, with customers.
Warren Zenna:
Yeah, like we said earlier, I think this is going to force people to actually get back to some basics, I think, for sure, no question about that. Which LLMs do you think are doing a better job of informing? Do you have a thought on that? Like, if I’m doing research, should I use ChatGPT? Should I use Anthropic? Should I use Gemini? Because I use them all. I’m just curious if you’re seeing any differentiation in the way that they serve up information, and maybe better accuracy, or better engagement, or better depth. What are your thoughts on that?
Scott Brinker:
I mean, part of the challenge is, it’s a moving target.
Warren Zenna:
Yeah!
Scott Brinker:
I’ve been a big fan of Claude because, you know, I just like the way it would write things, and I thought it did a better job than most ChatGPT and Gemini, until ChatGPT came out with their 5.1. I’m like, actually, no, this is actually better here, and then the latest Gemini 3… oh my goodness, like, it’s even better than that, so now I’m assuming Claude’s gonna, you know, they’re gonna have to up it as well, too, but I literally, like, circle between the three of those, and…
Warren Zenna:
To be honest, there’s very few tasks where I give it to just one.
Scott Brinker:
I don’t know, I’m a nerd, I’m trying to figure this stuff out, but for almost every task I do, I will give it to all three, because I’m really fascinated to just see. how do they each perform? It’s sometimes surprising. Like, one surprising thing, you know, with the Nano Banana 3 on Gemplify, it’s supposed to be the best thing for generating images. I was going back and forth with that. I just wasn’t getting what I wanted. I happened to ask the same request from ChatGPT, and it did an amazing… it did a better job than the Nano Banana on that one thing, but not the other, so, you know.
Warren Zenna:
Yeah, I get it. I’m saying. I’m seeing Gemini right now is really, really amazing. I’m using it more and more and more, personally. I just find the story pretty amazing. And I think that the research I get from it seems to be more in-depth. So what are some, sort of, like, things that you would suggest right now that people should be doing, like, immediately, aside from what you just mentioned? I’m just trying to leave people with some sort of, like, action steps, because this is really fascinating. How should they be looking for things in the marketplace? What should they be doing better to engage with their own agents? And what should brands be doing in the meantime to start thinking about how to merge that gap, and what are some things you think are going to happen in the next, I don’t know, 6 months? Sort of like what Julia asked in the beginning? What do you think is really, like, a polished right now? And what… what’s… where are we really in this curve right now? Like, are we really far? Is it just the beginning? Like, what’s your thought to give a really good sense of this stuff, in terms of, like, the curve? I mean. I can’t tell half the time whether we’re almost at the end of stuff’s capability, or we’re just tweaking, or they’re at the very beginning and it’s gonna blow up. I’d be curious to know what you think about that. I know I ask you a lot there, but I’m curious.
Scott Brinker:
So with that, pretty much.
Warren Zenna:
Yes.
Scott Brinker:
on Wall Street.
Warren Zenna:
Yeah.
Scott Brinker:
But, I don’t know, I mean, I’ve always been a fan of, what is it, Roger Everett’s, you know, distrib… not distribution, basically, diffusion of technology. You know, the whole thing of, like, yeah, we get a small number of, you know, innovators, early adopters, you know, there’s the McKenna’s chasm, and then the early majority and late majority, and so on. And I think the reality is, you know, there is still a massive late majority that, like, barely uses any of this stuff at all. For a lot of the early majority, at best, they kind of treat these AI answer engines, these AI assistants, kind of the way they did Google. A little bit of, you know, the behavioral pattern is emerging, is shifting, but, you know, for the most part, it’s a better Google for them. Where the really exciting stuff is, like, for the early adopters and the innovators, oh my goodness, you know, when you push these things for what you want to do, like being able to, like, write software for you, being able to, like, you know, manage incredible, like, spreadsheets for you. Oh, I want this whole, like, presentation created, here’s all my brand standards, here’s the way I want… I mean, this is the sort of stuff where there are relatively few people who are tasked mapping, these capabilities. I might be biased here, but my impression is, you know, it’s a number of folks in, like, you know, marketing and go-to-market who, not all. But those, you know, I see a lot of folks who are like, oh, wow, we can really do this. You know, you and I were talking, you know, the other day and, you know, prepping for this session, and, like, some of the things you’ve created for your own businesses with, you know, these AI.
Warren Zenna:
Yeah.
Scott Brinker:
I mean, these are the things that I’m like, okay, that is truly game-changing, and most people still don’t even know that’s possible.
Warren Zenna:
Yeah, it’s true. I mean, I know there’s always going to be some nerds that play around with things, and they’re going to be on the leading edge. So, I mean, we’re looking… we’re kind of almost at time here, so, what are some things you’re up to? What are you looking to do? How can we reach out to you? What are you trying to accomplish? And how can people engage with you? How can they… how can you help them, and how can they help you?
Scott Brinker:
Well, if there’s any way I can help from, you know, the things I write or publish or talk about on, like, helping marketers and marketing teams. do a better job of being able to leverage this, that would be wonderful. Yeah, you can reach me on LinkedIn, you know, sjbrinker, and I also… my blog is ChiefMartech.com, that’s Chief Martech without an H at the end.
Warren Zenna:
And what’s the, what’s the name of the, white paper you mentioned before that people can.
Scott Brinker:
Oh, Martech for 2026. And actually, if you go to chiefmartech.com, it’s the top article there right now.
Warren Zenna:
Great. All right, good. Well, I mean, I… I think we’re out of time. I know we had a half an hour, so I just want to make sure that I’m managing it correctly. So, here she is. Hi, Julie. Thank you. Wasn’t sure.
Scott Brinker:
Julia keeps the trains running on time.
Warren Zenna:
Yeah, she does, she does, yeah.
Julia Nimchinski:
Thank you so much, Scott. Thank you, Warren. What a pleasure. And, Scott, we shared your white paper. Hope you don’t mind, in our slide.
Scott Brinker:
Honored, thank you.
Julia Nimchinski:
Amazing.
Warren Zenna:
Alright. How many pages are there?
Julia Nimchinski:
130…
Scott Brinker:
Yeah. Just feed it into Notebook LM and ask it for the one-page summary.
Julia Nimchinski:
Amazing. Last question. Warren.
Warren Zenna:
Yeah, what’s up?
Julia Nimchinski:
How can our community support you?
Warren Zenna:
Yeah, great. So, as I mentioned, the CRO Collective, we, help CRO succeed. If anyone’s looking to be a Chief Revenue Officer, you want to develop that skill set and kind of accelerate, let me know. Also, if you’re hiring a Chief Revenue Officer, you’re looking for one, we help companies become CRO ready, and we’d love to help you do that. So, if I’m on LinkedIn, I’m a loudmouth over there, and I hope to hear from you. Thank you so much for having me, Julie. Appreciate it.
Julia Nimchinski:
Awesome. What a pleasure.
Warren Zenna:
Huh? Well…