Why Marketers Must Adapt to AI-Powered Consumer Decision-Making

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Karen and Lenny unpack a silent revolution transforming the marketplace: AI shopping agents are no longer just helpful assistants—they’re becoming the decision-makers. From Amazon’s bold launch of an AI agent marketplace to the growing need for brands to appeal to machines over humans, this episode explores the end of marketing as we know it.

They also spotlight cutting-edge developments in predictive analytics, research tech, and AI-generated content—highlighting how businesses must evolve to thrive in an agent-driven economy. Whether it's emotionally resonant AI interactions or strategic forecasting, companies that fail to adapt risk becoming obsolete.

Many thanks to our producer, Karley Dartouzos. 

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Transcript

Lenny Murphy: And we're back. We are back.

Karen Lynch: We are back. Two weeks. Two weeks.

Lenny Murphy: And it seemed like last week, rightfully so, right? Not so much going on, but boy, this week made up for it. Yeah, it really did.

Karen Lynch: And it was a rough week. It was a rough week for that kind of activity. So, you know, full disclosure and applause where necessary. I spent a lot of this week on my couch, not feeling well, not curating, and Lenny was like, but this, but this, but this. So a lot of this is really your heavy lift, Lenny. So giving credit where credit is due, when credit is due, thank you.

Lenny Murphy: Because I was like, I got nothing this week. It's all right. Well, and full disclosure, I was curating while visiting my brother, who was having a health crisis. So it was in between. So we were both distracted doing other stuff while life moved on. Life moved on.

Karen Lynch: I just couldn't Read because my eyes were hurting. Anyway, this is not a pity party. I had a fever for days, but I'm negative about everything. So now I'm just on an antibiotic. So I promise you, I will get better. But reading was not something I was really interested in. I think I have two out of the 25 stories we wanted to cover today.

Lenny Murphy: That's right. Yes, there was so much. Actually, let's cue that up. So things happen in cycles, right? Karen chose, and rightfully so, this week focus on a few things, but we're going to build a story over the next two to three weeks, because there were also elements that we just couldn't fit in, or else we'd be here for like two hours, that were important this week related to the next evolution of AI. And we'll talk about that next week, particularly as all of the AI. Here, we're going to tell you the end point now. What we're going to talk about this week is around the introduction of agents, particularly and how they're lots of things in the research space is also and also externally and then next week we're going to talk about what we're also announced which were new platforms particularly browsers that are all agentic and what that integration is going to mean so that the key takeaway is everything we're going to talk about today that the train continues barreling along we're getting a better sense now of how things are coming coming together and what that may mean for the industry. And we'll be talking about that as we go forward because boy, there's just so much happening. Yeah.

Karen Lynch: And I think let's just throw out the traditional, like, let's start with activity and start with the agent work because we're here because some people are probably like, what are you even talking about? So let's talk about the two agentic things, the big agentic things this week because I think it's important. And Karley, We're messing up our cadence just because this is how a qualitative researcher does things, right? It's like we talk about the topic when the topic approaches. So down at the bottom of our list of links, we have this story that Lenny found about Burke, or from Burke, exploring how AI shopping agents are transforming brand experiences, or brand relationships from digital experiences. Tell us more about that, because I did not get to this article, but I want to.

Lenny Murphy: Yeah. Hats off to our friends at Burke on exploring, you know, the impact of shopping agents. Actually this week, I saw multiple pieces just to kind of enhance this as well on Prime. It was Prime Day, Prime Week, whatever the hell, you know, they did this week. And the usage of shopping agents within that big shopping period. So this thing we've been talking about for a while, Burke has really kind of tried to quantify that and understand where are both from an adoption standpoint as well as from a utility perspective and we are we are there now that is cycling up uh where consumers are are enabling agents to uh find what they are looking for and to execute the transaction big picture what does that do for research well we've talked about this for like two years now what happens when we want to talk to the primary shopper in the household. The primary shopper is now an agent that is being set up automatically to do very specific things. Researchers, we're going to have to broaden our perspective and think about it. Marketers, obviously, are already thinking about this disruption of the process that we have been so used to thinking about how buying decisions are made. Is now changing rapidly. Go ahead. I'm connecting dots, friends.

Karen Lynch: It's what we do. It's what we do. I'm also going to make you jump back up to the middle of this, where there's a company called Remark that raised $16 million to expand its AI-driven shopping platform, which is humanizing product discovery online. They're trying to make online shopping more experiential, like a brick and mortar experience of shopping. And they have AI trained personas who are like agents helping you shop via their platform. So it's connected to this Burke kind of article talking about shopping pagers. So thanks for finding it, Karley and Lenny. Thanks for indulging me bouncing all over the place today. But it's a whole new dynamic in shopping that if you are, if you sell something in the kind of, physically consumer space right now, but it's also B2B, right? If you sell something, you're going to be, you're going to be having to understand how the agents work because they are a part of the buying process.

Lenny Murphy: And the remark is interesting. I actually experienced that, tried to do this myself. I wish I had gone with that. My, my, uh, daughter, uh, 16th birthday coming up this month. So, I used perplexity to create a persona. You know, you're a 16 year old girl who likes this, this, right? Uh, what I'm clueless about. I'm a 54 year old dad. I wouldn't tell her to buy it. Ask you for your budget because of your car or phone.

Karen Lynch: She just got her learner.

Lenny Murphy: So I'm not ready for a car yet. The car will come next year. Cause there's no sense in buying her a car yet. But the, uh, anyway, but, but yes, so that, and now this can be remade. Some of that for you. Instead of creating that persona, it has developed personas you can use. And of course, the other agentic stuff we have been talking about is allowing you to create or to basically build it off of you, your own buying behavior. So yes, that, it, that changes the cycle.

Karen Lynch: Yeah. Shopper journeys, like anybody involved in shopper journey work, like put what you know, Pack testing, right?

Lenny Murphy: What are the marketing implications? What are you paying? Are you paid for placement for an agent? You know, I mean, no, those things don't necessarily apply. So it is a, it is a whole new world.

Karen Lynch: And, you know, for me, the shopper journey work that I used to do as a qualitative researcher was largely around kind of understanding the emotional needs state at each stage along the shopper journey. Like what are they going through? What are they experiencing? Um, in some of the categories that I worked in, that was what was most important. Anyway, and I think about some new emotions that are being added to this. And I'm so curious, I'm so curious. This is one of those times where I'm like, yes, I'd love to be talking to people about their shopper journey when they start to use these agentic tools. So if you're in that space, good time to start to pilot some of those studies where you're really trying to understand this new journey. It's gonna be very interesting. It really is.

Lenny Murphy: It's still nascent, so let's be clear. We're not talking about the majority of consumers doing this yet, but it is coming. Now, let's also, let's finish that up, because I said, too, start at the end, the AWS. So Amazon Web Services, right, one of the major hosting platforms. They're a key infrastructure for the internet entirely at this point. And they are launching an AI agent marketplace. Now, of course, they've invested heavily so I'm sure that'll be the preferences, agents built off of the anthropic AI solution. But they're really looking at targeting startups who are building agents. Think of this as like the app craze when smartphones first came out, right? Two guys in a truck literally code something. Was it vibe coding an agent to perform a function? And now having a marketplace where within AWS users, they can do that and they can plug it into their websites. So they're building that ecosystem now. And is it a stretch to, this is just an announcement, haven't looked. I will bet you anything that very quickly, probably within the first week, some of those agents will be based upon insight generation. Talk to your customers, you know, get their feedback, test ideas, test usability, all of those things. That's low-hanging fruit in our world that would now be integrated at the infrastructure level, at a core place where companies are building and hosting their business websites, now enabled with agentic research solutions. Again, I haven't seen it. I don't know who that would be.

Karen Lynch: Crunch article, Karley, I don't know if you grabbed it, it's not showing up in our platform, but it's the very last thing. It's talking about how the marketplace will allow startups to charge customers for use of this agent. So it is a marketplace where you could kind of buy the use of an agent. And then Amazon Web Services gets a cut. All right, that's fair, I guess.

Lenny Murphy: Yeah. It's the same as the app stores, right? It's the same model.

Karen Lynch: And then it's further down in this, you know, the others, the others have done it too. Like Google cloud introduced the AI agent marketplace. Microsoft has something called the agent store. Um, anyway, Salesforce and service now have their own agent marketplaces. So, so this one isn't, you know, the only it's, it's showing that this is what's happening, that these players are doing this, that there are agent marketplaces and more and more companies are going to be accessing them and getting, um, people will be using them and people will be contributing to them. It is, to your point, the app store for AI agents. So cool. It's really cool. All right, but so then let's connect some dots. Let's connect some dots. So we talked about the agents. Next week, we'll talk more about the activity among some of our browsers and what's happening in AI and search. And why it matters to you. So we'll tell that story next week. Yeah, absolutely.

Lenny Murphy: You need a little more time and research there. We do. And it's by next week, there will be, you know, whole new things anyway. But so you mentioned the emotions. So, Karley, we're going to jump around again. There is a really neat Centaur, Centaur AI. Do you see that? There's a whole section here we'll talk about a kind of predictive measurement, which I think was really the key of what we're here for. Centaur is basically an LLM trained off of a bajillion different academic papers around psychology and non-conscious measurement and all of those things. And they claim that they can predict individual and group behavior with unrivaled accuracy because it has the best understanding of how we humans think and feel and what we do as a result of that. Uh, so it's still kind of in academia. Um, uh, but I know I shared that with a few people, uh, a few leaders in the industry and they were like on it already reaching out, need to integrate that. So.

Karen Lynch: Yeah, if they can, if they can take one part of kind of the psychology and the behavioral science and layer it with structured data, then suddenly predictive analytics has more meaning, that the measurements make sense, which I think, and that's why I want to talk about predictive measurement, because we're at an interesting point where, and we'll share these, these next two things in a minute, where there's, there's there's dollars being put towards predictive measurements, whether it's predictive modeling or predictive analytics in general. We're looking, everybody wants the crystal ball right now. Everybody wants to see things. So we're seeing activity in this space because there's this urgent need to understand what's coming because we're living in this disruptive, ambiguous time. So I think, I mean, correct me if you think I'm wrong or tell me if you do disagree, but that's why I think this is bubbling up to the top right now as we have this urgent need for foresight. I agree 1000%. Yeah, yeah. So it's, it's interesting that this one's this, this centaur is, is possibly going to give kind of meaning behind the the analytics as opposed to just, here's what the data says, right, we might start to layer on an understanding of why the data says that anyway, that to me is very interesting. But let's talk about these other two valuations or raising efforts, both Cal, she and poly market, I didn't really dig too deep into these other than to just say, okay, noted.

Lenny Murphy: Yeah. But I mean, their prediction markets, Cal, she raised 185 million at a 2 billion valuation. So that's expanding into the US. So that's the rest of the prediction markets are more, they're, they're a bigger thing in Europe, they have been in the US. And the thing was betting markets, right? Has been one of the big applications there. We've used prediction markets for research methodology for years, but it was fairly niche. Polymarket, 200 million raised at a 1 billion valuation. They've also partnered with XAI. And if you guys saw this week too, the launch of GROK4, which is kind of like the new benchmark in AI capability. Adding new data feeds, prediction data feeds, right? That's tying into the way prediction markets work, the wisdom of the crowd kind of thing. These things are gaining big valuations, generating big revenue, to your point, as foresight indicators. Lots of evidence for many years that prediction markets are better, I would say quantitatively better, predicting outcomes of things, not just sporting events, but even elections. A few folks have used that for polling, and they've done really well with that. Now they're being applied across all types of things. And it's gamified, right? It has that whole gamified element. But the point is, it's the drive for insight. Now you combine that with what we saw at Centaur, right? OK. Now, you get not just foresight of what we think is going to happen, but here's why, something like Centaur can effectively. And then, well, what's next? How are people going to react to this outcome if this event occurs? And just this cycle of foresight and prediction as a result of that. It's pretty amazing what this can do, potentially.

Karen Lynch: And let's use this as our segue back to the top, where we talk about some interesting news, because this NIQ story just had me thinking about them in general, and this is what my mind does. So NIQ, formerly Nielsen IQ, has filed for an IPO, the New York Stock Exchange. Again. NIQ. Is it again? I was like, and then we're private, and now they're gone. Good, I'm glad you said it's an again, because I was actually thinking, anyway, and my brain didn't go there. Anyway, but where my brain did go was, we're talking about, again, this big picture of not just customer insight or consumer insight, but consumer intelligence. So what are we gleaning? We're gleaning the fact that with artificial intelligence, kind of shining a spotlight on what's possible in the future. The need for all of our intelligence, we're not just looking for insight anymore, right? We are looking for intelligence, and that sounds redundant to me now that I've said it like twice, but to me, that's what stood out so much is, you know, whether it's strategic intelligence or decision intelligence or customer intelligence or whatever it is, we are so beyond, as insights professionals, so beyond what we used to do into like, okay, we are driving something much, much bigger and far more important these days. And if it doesn't feel like it to you, you have to pay attention a little bit more. That's my kind of push for the day.

Lenny Murphy: Agreed, because the whole thing leads towards synthesis, towards bringing down the silos. So often we in research, we think about art and in any other industry as well, like this is what we do. When we get particular or pray to our methodology or our business issue focus or whatever. And that's fine, I think that expertise is still going to be needed. But the CEO is not thinking along those lines. The CEO.

Karen Lynch: Yeah, do you remember a few years ago we were looking at great data and all of a sudden it was like, oh, look, like Accenture is in the mix as an insights provider. And we were a little bit like, I don't want to say confused, but like they're doing insights work. And it's like, now I have this whole new thought process about it, which is like, yes, but also no, we're being required to elevate. Like these lines between the two types of organizations, large business decision consulting is being enmeshed with, you know, with insight work, whether it's them kind of coming into our industry or us being required to go into theirs.

Lenny Murphy: It's a blurring of this line.

Karen Lynch: It's very interesting.

Lenny Murphy: It really is. And you get to that point, though, not the laborer point, that idea of foresight and prediction, even the example of prediction markets that we cited. We have built an industry and a system over years based you know, creating dots, right? And then companies like Accenture, their job was really to kind of connect those dots, sure, right? That was what they, the value that they, that's why they charge a bajillion dollars for a single project, right? But increasingly now, we're looking at AI being the system that connects the dots. Through and bringing out the silos of synthesizing this information from all these sources and just having the right pieces put in place to do that. It's, uh, uh, it is very, very, very interesting and still we'll say still nascent, but guys, I mean, we're, we're, we're not cutting any dots here. These are, these are like sons, right? You know, I mean, they're really, they're very, it's very apparent where all this is going. Uh, we're, as smart as Karen and I are, and I would say that we are pretty damn smart. Pretty damn smart. But what we're talking about here, it's just blatant, right? And that's why we're talking about where the money's going. You know, you look at these things, it is incredibly clear what this end state vision is, and we have to adapt to be a part of that ecosystem. Yeah, yeah. Yeah, good stuff. Yeah. World Panel, As we knew this was going to happen, numerators absorbed world panel. Buzz has been that it's going to be set up for a sale. So that's expected. And potentially for an IPO. So as Nielsen goes back, or NIQ goes back into the world of IPO, I would fully expect, see how that goes. That's probably what Bain's doing. Let's see how that goes. There may be another an IPO for them in, uh, still this year as well, uh, or bought for, I think there were $4 billion, the collective, uh, entity that they're trying to get. So we'll keep watching.

Karen Lynch: We'll keep watching. I'm excited to see this story about amplitude, acquiring craft fall. Um, and, uh, for those of you who, who don't know craft, well, we actually talked about this when, uh, you know, like I think, two years ago because it's a, um, it's an AI native kind of, um, you know, user interviewing or user research platform, craftable Yana. Um, Belinda, she was actually, she spoke at IX North America and, um, she's an amazing female founder. So I'm excited that her company has been acquired by Amplitude. Um, I mean, this is like, this was quick because, um, I think she launched her first minimum viable product in 2021. So we're talking like four years from minimum viable product in user testing to acquisition. So I don't know any more details other than that. I think this is the first story I've seen about it. It probably won't be the last. But it's AI native, right? So this was one of the first ones, the first kind of product launches that were like after we started talking about generative AI, then she launched with this, you know, this kind of GPT feedback platform. Anyway, pretty cool. I'm excited for her. It's always good to see a female founder in particular succeed, but also I love this idea. This is what's gonna happen. Some of these AI native platforms are going to get bought right up.

Lenny Murphy: Yep, yep. About because they reach critical mass themselves. So they're good value contributors. Some will be the opposite. There'll be fire sales. It'll be a cheap acquisition. But to your point, they make sense in the world of synthesis, right? It makes sense to be connected to broader plays overall. So I think it'll be very interesting. We haven't seen signs in this they didn't report the valuation or value of this deal. So no idea Okay, that's still kind of in the toilet right now Not in the toilet, but it's there's nothing special about Res tech, you know valuations, you know, everybody there it's kind of yeah, you know So that will be the thing that needs to unlock for more of these deals to take place I think it's for we start building up better multipliers for that. Interesting times. Speaking of which, a couple more raises. We talked about Remark raising 16 million. GetWhy raised 17 million, Series A AI-driven consumer insights. GetWhy, they're part of our ecosystem as well. Um, so, uh, congratulations to them, you know, more, more money, uh, coming in. And then this was a big money show.

Karen Lynch: We have mentioned a lot of money in today's episode.

Lenny Murphy: Yes. Right. Right. Um, and all of these, even the prediction marketplace, right. Again, those are fundamentally, there's still fundamentally research applications, even though think about them as something different. It's still getting people to share their opinions systemically in a different way to predict outcomes. So yeah, a lot of money.

Karen Lynch: We have some product launches also that we're covering. And one of them, the first one we're going to talk about, Repdata, launched SecondShield, which is an AI tool for fraud detection.

Lenny Murphy: AI-generated fraud protection.

Karen Lynch: AI-generated, so it's like a, it's an AI tool to prevent AI-generated fraud protection. But what I like about this press release that Charlie's sharing is, you know, the chief technology officer, Vignesh Krishnan, shares, it's a living system. The more data it sees, the smarter it gets, giving our clients a proactive edge in the arms race where yesterday's tactics won't win tomorrow's battles. I like that. Yesterday's tactics won't win tomorrow's battles. That is such a good and important and critical phase. They're right. You can't fight fraud the way you used to. You have to re-look at all of it. So anyway, hats off. I like everything about the tool, and I like everything about the way they're thinking about the tool. To me, that's what's more important than the fact that they've launched something, because, you know, others can do that too, but it's the way they're thinking, approach to the current problem is, you know, anyway, I just liked it. I liked it a lot.

Lenny Murphy: And if you're not following Repdata, um, you, you should because they've been producing content based on the data that they see. So it's a really good resource because you know, they got a lot thrown through the pipes around fraud and they've been quantifying that and they've been pretty public about what they're seeing in aggregate obviously in there now they're using that to help train systems. So, uh, So really good resource from a data quality standpoint, pay attention to what they're doing in terms of content. Our friends at AHA, they relaunched their AI-powered platform, so qualitative inherently. So they've not just re-skinned it, but they've kind of rethought it and baked in AI throughout. So another example of that new integration and releasing products that just kind of fundamentally change the function and process of how research is being conducted. And that's a really good example, because AHA is not a big company, right? You know, it's not like they're Microsoft. So, you know, even smaller players can be really innovative and integrate these solutions pretty readily and launch for competitive edge. So...Yeah, you know, and one thing about what they've there.

Karen Lynch: And, you know, I've used a lot of these platforms back in the day, but it is very user-oriented. It just was one of those platforms where it has been designed. So, I'm curious about this new interface, which I think is, you know, designed to kind of enhance how the user interacts with it. So, that's always been something that they shined in that space of meeting the user needs in terms of the interface design. And so, the relaunch most likely does the same thing.

Lenny Murphy: It's pretty cool. Yep. Yep. I was, I'm not sure whether we pronounce this correctly or not. In my head, in my head, I'm like, is it David or day? Yeah.

Karen Lynch: So sorry guys, let us know. But we mentioned you before.

Lenny Murphy: I think it's David. So, uh, but interesting. Basically ad testing, right? I'm building an AI based ad testing. This was particularly a new tool at the effectiveness of generative AI creative for advertisers. So specifically testing the boom of AI generated, uh, creative rather than traditionally created, uh, uh, creative, uh, which is something based on the stuff that I see desperately needed because good God, there is so much. Yeah, actually recently did you see just by the way the last couple some media that happened? After what it was, it was the first AI generated ad on TV for a large broadcast event. I forget what the circumstances were, but did you catch that? Break that wall. Yeah, I feel like we didn't talk about that two weeks ago?

Karen Lynch: Maybe we did or maybe we didn't. I don't think we did. But yes, I saw it and was like, all right. To me, it wasn't a particularly compelling ad. It didn't move me at all. It didn't make me think anything other than, oh, look what AI did. At the same time, a lot of the things were going around that week about technology and all. So yeah, I think testing is important because just because it can do it doesn't mean it's a more effective ad.

Lenny Murphy: Yes. 100%. Yes. And I still find the choppiness of those things, uh, disengaging.

Karen Lynch: Well, so let's segue into this, this, this character AI. Yup.

Lenny Murphy: And speaking of AI generated fraud.

Karen Lynch: So, and speaking of the choppiness, I was riveted by these videos and, and, um, on this link. So Character AI introduced something called Talking Machines, a real-time video model for audio-driven face-to-face AI interactions. Real-time.

Lenny Murphy: I think that's the critical piece there. Real-time.

Karen Lynch: And there's a couple of links on here where you can watch these characters in conversation with a user. And if you need us to spell out for you what this means from a research standpoint, as I'm watching this, the first one on here, which is this adorable little fox. And the user is asking the fox questions. I'm thinking about the reverse. I'm thinking about, would I talk to a fox if a fox started asking me questions? Like, how would I talk to a fox? How would I interact with this fox? Because what you'll see in here, and I think what they're talking about is the animation of their facial expressions And so it's, it's like more than just talking machines. It's talking animations that are more than avatars because they're, they're, they're anyway, just watch these and note your own reactions because the Fox that that was really cute. Then when you, then when you scroll down there, it's like a, um, I don't know what you call that thing that, you know, that dinosaur ish or like creature thing, you know, super not my style. And I'm listening to that one and I'm like, okay, this is all creepy and weird, all a little choppy, but what if a creature starts, what if a creature is on the other end? And we're not even talking about a human avatar, so you know you're talking to something, but something that looks sweet and innocent and curious. How would that, how would you interact with it? Would you tell it the truth? If a dog comes on and says, When I talk to you about dog food, would you talk to the dog any differently? But if a cat comes on and starts talking to you about dog food, would you talk to the cat differently?

Lenny Murphy: I mean. Right.

Karen Lynch: Right. How safe would it be if this cute little Fox, let me scroll back up to him and look at him again. He's so darn cute. If this cute little Fox was suddenly like, you know, asking you about your favorite toys. I mean, a child would engage with that. Right.

Lenny Murphy: And there's already these examples with humans already existing in where all the early innovation always occurs in the adult industry, right? There are things like the OnlyFans and those types of things. They're the exact same scenario where it is highly interactive and almost real time with a human. No, and I have not tested any of that. Those things, but I, but I've seen reports on it. So, now think about that. How close are we to that technology, these types of technologies being so ubiquitous and so easy. You know, a fraudster in, you know, whatever Eastern Europe, uh, that, or these things tend to happen or China or whatever enables that for interviews for qualitative. So go back to rep data and what they're trying to say. Get on this yeah we're not that we're not far away so yeah lots of interesting guys just the pace of change continues there was any sense of you know oh it's gonna slow down I see zero indication of anything slowing down I think that that arms race is only accelerating yeah yeah and um you know if you if you can't look with kind of open eyes and an understanding that it's happening, that, you know, that this is the world that we live in.

Karen Lynch: And I mean, approach everything that you see and learn with the idea that you might have a problem to solve, but there also might be an opportunity for you to do something bigger and better than you've done before.

Lenny Murphy: Because I think the possibilities are pretty damn cool there. And we've got some cool, not official shout outs, but the new GRIT survey will be going soon. The reason we haven't launched it yet is because we've been really retooling it to move away from, oh, what do you think about AI? Like, all right, what is happening in your business today? Really, what's the pragmatic implications and applications that you're seeing? That's coming soon. We hope that you'll participate. As we try and get a handle quantitatively on what's happening within the insight space among buyers and suppliers. And Karen and I are also working on something that hopefully we'll be able to announce soon, speaking about transformation and change.

Karen Lynch: Probably a week or two. Yeah, I think a week or two, but it could be a couple. We don't always take a moment to just shout out to our team, but in my inbox this morning was the email about two of our buyer's guides that now are available for download. And Karley, I didn't even think about this, so no pressure. But if you did not get the marketing email explaining that we have these buyer's guides, I mean, people on our team worked so hard on these. Myself and Lenny are not really included. We had a look-see every now and then, perhaps, but no, there were team members of ours, I mean, starting at the top, Lukasz and Nelson and Jasmine, Susan and Aaron. I mean, really, like so many people were involved in these buyers guides and I downloaded them today. I was excited to see them. Good job, Karley, thank you. Karley on the scene, right? Yeah, Shopper Insights and User Insights, I think, were launched today. And anyway, just hats off to everybody who did a great job on those. If you are not getting our marketing emails, please, you know, get that into your inbox, you know, subscribe. Because I did not actually, full disclosure, I've been a little sick this week, didn't realize this was happening until it hit my inbox today. And I'm like, oh look, this happened today. That's how out of things I have been. So I rely on our own marketing emails to find out what Green Book is up to.

Lenny Murphy: I do too. And I want to say one more thing too. So I don't know about everybody else, but this was not a great week for the Green Book team. There were lots of people that had stuff going on. And there's people who have other stuff that is coming and if if that's like the zeitgeist of the world and you also have stuff going on then I just wanted to kind of say Let's all remember to be kind to everybody around us because there's everyone has stuff happening in their world In their lives and to your point our team keeps keeps doing what needs to get done even when, you know, life around them is not particularly pleasant for whatever reason. And I'm sure that as a listener, you have the same thing going on. So hats off to everybody for just doing what needs to get done. Support to everybody if you're dealing with challenges. Our team and to your team.

Karen Lynch: Yeah. I love when you preach kindness. It's just so true.

Lenny Murphy: Well, when my hair is down, I'll come on, and Greg will say, hey, Jesus.

Karen Lynch: So I guess this is kind of catching. I'm just trying to be.

Lenny Murphy: Do unto others, as I would have them do it to me.

Karen Lynch: Yes, you can preach, Jesus, but anyway.

Lenny Murphy: Anyway, I'm damn sure not Jesus.

Karen Lynch: Let's go back to Lenny talking about kindness. Shall we? Anyway, I guess that's it.

Lenny Murphy: We, uh, there, Hey, we squeezed a lot in.

Karen Lynch: I need to go, um, maybe take some more Tylenol, maybe take another rest, but, um, good to see you all. Good to see you, Lenny.

Lenny Murphy: And we'll be back next week.

Karen Lynch: We'll be back next week. Thanks everybody.

Lenny Murphy: Bye-bye. Bye.

Karen Lynch: That's funny stuff.

Links from the episode:

Burke: AI shopping agents 

Remark Raises $16M Series A to Humanize AI in Online Shopping 

AWS is launching an AI agent marketplace next week with Anthropic as a partner 

Groundbreaking New AI Trained on Psychology Studies Can Predict Human Behavior with Stunning Accuracy 

Kalshi raised $185M at a $2B valuation to expand its regulated prediction market platform in the U.S. 

Polymarket on the Verge of Raising $200M at $1B Valuation: Report  

NIQ Announces Filing of Registration Statement for Proposed Initial Public Offering 

Worldpanel Becomes Part of Numerator  

Amplitude acquired Kraftful 

Funds for Ambitious AI Research Tech Firm GetWhy 

Rep Data launches “Second Shield” machine‑learning AI to combat AI-enabled survey fraud 

Aha Insights Technology Relaunches its AI-Powered Market Research Platform  

DAIVID Launches New Tool to Help Advertisers Maintain Effectiveness of Gen AI Creative 

Character.AI’s Real-Time Video Breakthrough