AI Breakthroughs, Startup Success, and Industry Shifts

Check out the full episode below! Enjoy the Exchange? Don't forget to tune in live Friday at 12 pm EST on the Greenbook LinkedIn and Youtube Channel!

Karen Lynch and Lenny Murphy dive into the latest industry shifts, including Ipsos’ unexpected decision to walk away from acquiring Kantar Media—what does this mean for the future of media ratings? Plus, discover how startups like Bounce are securing major funding, AI-powered tools are changing research methods, and how sensory testing and AI shopping agents are transforming consumer behavior.

Many thanks to our producer, Karley Dartouzos. 

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Transcript 

Karen Lynch: Oh, he thinks he's a rebel. Oh wait, my screen froze.

Lenny Murphy: He thinks he's a rebel.

Karen Lynch: Yeah, he thinks he's a rebel and yet it's, oh wait, we're live. Oh shoot. I'm still looking at the picture and I'm thinking Lenny's son thinks he's being a rebel for growing his, you know, his hair long and Lenny's really just proud.

Lenny Murphy: Like, yeah, you just, you know, catch up with the old man. Sorry, folks. We were catching up. Uh, here's the other piece now that biweekly cadence of Karen and I don't have the, you know, we also just don't talk as much.

Karen Lynch: And we're remembering I was getting nostalgic for this time last year when we were already wearing like holiday apparel and then when he's like, yeah, I got you I'm already in holiday apparel and he's already got some decorations up.

Lenny Murphy: Yeah start like Star Wars and Christmas the ultimate combination I've got my Santa Claus mug here.

Karen Lynch: Yeah, I have none of that and I don't have my set designers. They apparently don't exist. So I would like very much for a set designer to show up at my house and do the Christmas decor. But apparently that's not happening.

Lenny Murphy: On our last show of the season in two weeks, we're going to Christmas the hell out of it.

Karen Lynch: Well, and that's also the day of the Green Book holiday gathering, which is a shout out to Karley. It's the sleigh and sleigh, which is my favorite thing ever. On the 20th will be the green book slay and slay. And, um, anyway, so we will definitely be festive that day. So that's a promise to you, our faithful listeners. We will be, we will be much more festive in full, ridiculous glory. I can't, I can't wait. Um, all right, so let's get into it because last week was Thanksgiving. I hope everybody had a happy one. Um, and you know, it's another two weeks, uh, that have gone by with a lot of things going on, but fortunately, Thanksgiving week, things were slightly quieter than they usually would be. But let's talk about this Ipsos thing, right? Because it's interesting. It has been up and down, up and down. Up and down, and up and down. So what we're talking about, friends, is I think we talked two weeks ago, we mentioned this, or maybe even longer. I don't remember that Kantar Media kind of up for sale. Ipsos was thinking about it. And then they're like, nope, never mind, we're so we were thinking about how big of an acquisition that would have been, but no, not how much now.

Lenny Murphy: Yeah, I mean, that's interesting because the buzz has been for quite some time that DDA wants to go out with a bang, right? And he's the chairman and on his way to a happy retirement after building an amazing company and a big, large company. And this would have been kind of a crowning achievement from that standpoint. But also the media business, that's a tough business. The media ratings business is a tough business. And maybe they decided they had bigger fish to fry, or at least other fish to fry. It would have been a big fish. So, yeah, so that drama, that seems to be over.

Karen Lynch: Well, it's interesting because, and I think in one of the pieces that I read about this, you know, Karley, of course, is sharing a link, but in one of the pieces I read, you know, it's talking about how like Nielsen is really owned Like, you know, they pretty much just own that, and- But not globally. But not globally. So this would have been a global play, and that would have been, I don't want to say cool. I guess I was excited for that on some level. I guess, I don't know. I guess I was excited for that one to happen, and here it is. It's like, oh, okay. So let's hope somebody else exciting comes into the mix to make it kind of, I don't know.

Lenny Murphy: Yeah, it looks like private equity. We'll see. But that creates interesting opportunities, right? If it's private equity, they'll hopefully, that probably opens the door to some additional consolidation and acquisitions that would occur to support that. And it's still a great asset. And it's a vitally important bedrock component of research to understand media performance, period, right? And in our fragmented, blah, blah, blah. I mean, it's even more complex than it used to be. So whoever does it well, I mean, they're printing money. It is needed. So, yeah, interesting to watch it play out.

Karen Lynch: Yeah, yeah, yeah. Well, so speaking of things, speaking of, you know, kind of following the money, as Lenny and I also talk about, we have two, these next two, you know, funding events are really significant and important because these are two of our 2024 Insight Innovation Competition finalists. Yep. Neither of them won but I consider it a win when you get funding. Absolutely. So exciting. So you want to, you want to kind of start the conversation there with what Bounce, what Bounce received?

Lenny Murphy: Yeah, yeah, Bounce. You know, they're, they're an agile research platform. 4.5 million to fuel their US expansion. So they are, they're, they're coming in. Orchard, which is a social media analytics firm. They invested or they raised an investment as well. I don't think the number was disclosed on that. But you know what I saw in one, I was doing some searching for that.

Karen Lynch: And I think I saw in the metadata in a meta description, it was 2 million. But every time I clicked on it, it wasn't there. So that is not, you know, that would have to be fact checked. But when I did, you know, did my searching, it was showing up in the search results. So somewhere that might be embedded in something. No small amount.

Lenny Murphy: Well, and let's brag for a second. I mean, our track record, we've done the analysis of this, the Insight Innovation Competition, our startup competition based on IEX from its inception has a, I almost dropped our first S-bomb, F-bomb. It has a kick-ass track record of not just the winners, but also the finalists of these companies going on. Like this, this just continues. I'd love to say, oh, that's because of us. I don't think it is per se. The point is, having that focus for startups to be brought into the industry to start making some headway helps pave the way for this growth of the business and the track record has been really, really good on that. So we hope more will participate. Sorry.

Karen Lynch: Yeah, and we do hope more will participate. You know, the applications are up already. I don't know if Karley, if you were able to work some magic. That's my girl. So applications are open for this. The deadline is February 19. So you have some time, do not wait until the last minute. Five finalists are, you know, brought to the stage at IAX North America. And one of the things that happened this past year, which was one of the first that I was really paying close attention to in the audience as well at that moment. You know, the ones that weren't chosen, you know, live on site, and if you don't know the process, I'll get there in a minute, Lenny and I can talk about it. The ones that didn't win, and actually Bounce and Orchard Bolt had talked to me afterwards, like, what do you think it was in their pitch, their five minutes on stage, that had them not winning? And I was like, it's a really great place to learn what the winner does on stage, because that helps you perfect a pitch. Because you have five minutes to make such a compelling pitch that the audience at IAX votes for you. So it's a crowdsourced vote on site for those five finalists who get their five minutes on stage. And I think it's a really great practice and exercise for these startups. And again, you've been seeing it for 10 years, so it's not new to you. And it wasn't really new to me either.

Lenny Murphy: It's just the first time I was able to sit for all of them this year. Yeah. Yeah. I mean, that process of, you know, we had a bashedly mashed up, you know, Shark Tank and, and America's Got Talent or whatever, right? Yeah. For this, this process of, yeah. Fundamentally, I am terrible at this, right? All of my work with startups, to give a five-minute pitch requires so much thought and discipline. And that's a piece of the process, is to help get them used to that overall. Because I can't do it. I can't give a five-minute pitch. I'm 20 minutes late. So there's a whole process that we kind of thought through to help these companies get into this ecosystem. And perform well, and it's done a good job. Congratulations to Bounce and Orchard. Yeah, it's exciting.

Karen Lynch: It's exciting. And again, just explaining the process to everybody, you can submit your application. The applicants are judged in advance to come up with the five finalists. That panel of judges is stellar. I think it's on the website. And representing a nice range of expertise. So they will be viewed in late February. And then the finalists, the five finalists are invited to North America for this five minute pitch. And any startup should be in attendance at this event because they should be watching what the others are doing. So maybe you're not ready to apply this year. Maybe you're like, you know what, I don't know what angle I would take. But the winner of this competition also gets a sizable check. So this is not just for fun.

Lenny Murphy: That's for damn sure.

Karen Lynch: So check what is given to them. And, um, that also just kind of fuels the excitement that they have moving forward into whatever efforts they have. So, you know, it's just, uh, anyway, we're excited. It just so happened that both of these news stories came out this week. So, you know, hats off to, to both bounds and orchard.

Lenny Murphy: It's pretty cool stuff. Hats off to both of them. Another, another hat off. Um, yeah. So, uh, our good friends at Mark Research, 60 years old. Happy birthday to Meryl Dubrow. She's a force of nature in the industry. And Mark has been around, obviously, it's a long time, yeah. Longer than me, longer than you.

Karen Lynch: Fun fact, it's 1989 and I'm a college senior and I got a job at Mark in Norwalk, Connecticut as a data analyst. And I think I'm going to, because I was, I was, I was a marketing major, but I really liked research and I was always very good at math. Um, I don't know what happened. Anyway, not important. And, um, qualitative research, right?

Lenny Murphy: When I worked at it, I could do it.

Karen Lynch: I'm capable. I just didn't have the passion for it, but I took this job as a data analyst and I thought that that was my path. But then what happened was that it was like March, April, May, like I was working all spring semester before I graduated second semester senior. And then what ended up happening is they ended up having layoffs and there was no position for me because they were laying people off. So upon graduation, they were like, we're so sorry, we actually don't have a full time position for you. And that's what led me to go back to the university career center and ultimately get a job in quality. So I stare that just because like, I really I like I was like, I was almost a data analyst. Like I think about you, think about career trajectories and how knowledge has changed everything. If I started off as a data analyst instead of a qualitative practitioner, like it would have changed it, I still would have been in this industry. But or maybe not, maybe I would have been like this data stuff. I have no idea. But these things that seem innocuous that happened to you, you know, uh, I wish more young professionals could understand that, you know, at that stage of your life, it's all building blocks for your future, you know? And when you're, when you're 21, if things don't work out the way you think they're going to, it's really going to be okay because you may end up right where you're supposed to go anyway.

Lenny Murphy: Yes. You know, Yes. Let me echo that. I mean, you hear it all the time. Very few people wind up in this industry by design. Most of us just kind of stumble into it. And I'll tell you, my career is radically different than anything that I thought. I mean, this is my 25th year going into my 25th year in the industry. I didn't see any of this coming, right? So to your point, suit up, show up, explore. And the universe has a way of kind of taking you where you need to be. Exactly.

Karen Lynch: Like here, like here, right now.

Lenny Murphy: Like here, right now, right this moment.

Karen Lynch: This is what we'd be doing, but here we are. Yes.

Lenny Murphy: All right. We wax philosophical. Yes, exactly.

Karen Lynch: All right, product launches, let's talk about them because, you know, there's a couple that were pretty interesting in the last, again, like two weeks since we met last. But there was a debut of an eye tracking tech, Smart Eye Pro 13, enhancing user recognition, improving gaze accuracy for diverse research environments. So I thought that was a pretty cool one. I know that you've been tracking kind of, you know, this technology, you know, for a while. But I think the implications are really cool, not just for the work at hand, which is what you use eye tracking for, whether it's UX or- Shelf testing. Shelf testing, all of that stuff, but also from a data quality standpoint.

Lenny Murphy: Now, every time I look at these technologies, I'm also thinking about data quality. Yeah. There's others. It's a smart eye IC, I think. Yeah. They've adapted their technology, cool tools. As well for data quality facial coding, eye tracking, to confirm you're a real person. Yeah, I mean, these technologies do have multiple applications. And they're just getting, like this example, the big challenge was making it work on mobile. And now they are. The cameras are good enough on mobile. And that was a big piece of this launch was the effectiveness to track gaze on a device camera and a mobile device. And yes, that just helps across the board. So many of the non-conscious tools, that's why I'm always such a big fan, right? They have such applications and they're just waiting for technology to scale up enough for them to be really efficient and effective. And I think we're there now. And there were other launches we didn't have a chance to include here in this arena and that continue to grow and be prevalent and just be embedded into things. Yeah.

Karen Lynch: Well, and I even think about eye tracking specifically, I think about with my own phone, which unlocks with my eyes. And then I think, how does it know that I'm wearing my glasses or not wearing my glasses? Like, how does it know I'm still the same person? How does it know that when it's very dark, it's still me? Like, I find myself fascinated with even just my phone unlocking, but yet, you know, give it to one of my children, and it's like, yeah, no, hard pass. That is not her. So I find it really interesting that it seems to be better at knowing that it's me unlocking the phone, right? Makeup, no makeup. Hair up, hair down. It's like, yeah, I got all that sorted. And I just think it knows who I am. And again, I keep thinking about the data quality applications and sampling and how this could be a solution for a lot of our data quality issues. We can get there. And I'm sure people are already doing plenty of that, but that's what I keep thinking. Sure.

Lenny Murphy: There's so many. Yeah, we go. That's part of the AI conversation of the shift to a qualitative-like video interview, by default, to your point, helps address a lot of those issues. Yeah. Yeah. We're not there yet. Yet, I don't think so. We have the fully AI avatar, digital avatar that people are faking, although we're probably not too far away from it. But for the moment, it's still a damn good way to engage people and make sure that these are real people.

Karen Lynch: Yeah, yeah. Pretty cool stuff. Yeah.

Lenny Murphy: So speaking of A.I.

Karen Lynch: Pika tour. Yeah, we wouldn't be talking about new product features if I wasn't a big one. But I like this one.

Lenny Murphy: Yeah. Pika Pika tour. Pika Pika tour.

Karen Lynch: I don't know, I think of powered reports. So what I love it about this one, this is so that, you know, survey platform, you know, they, they have, you know, survey platform, they've been doing conversational AI, they've been, you know, maybe having an AI summary, but now on their platform, you can go right into, hey, take these and draft my deck. So instead of you and I were talking about, I forget what it was, Dextapost or whatever, like instead of then having the AI deck creator, now it's just built into the platform.

Lenny Murphy: So if I'm, if I am- And in PowerPoint.

Karen Lynch: And in PowerPoint, you can just go ahead and edit it, make it your own, you know, change the template to your company's template. Like it has suddenly streamlined how I report up if I'm working on the brand, if I'm a brand side researcher, I'm working with a company like this, or if I'm a, you know, if I'm a different kind of research supplier, anyway, I just love this one. It's like, I think I read on the website. I'm not sure where I'm pointing, but the notes that I put are like a slide per survey question with results or a slide for every section, a slide for different question types. Like you can basically customize it so that you're getting the deck you need to tell the story.

Lenny Murphy: Streamlined process.

Karen Lynch: Take that summer. Good stuff. Absolutely. Yeah.

Lenny Murphy: And you know, it's always one of those things that I am really passionate about because it's just so damn important from a process. And we've had this basic technology for a long time, right? Survey platform, oh, here's all my data and yay. But the ability to export into an editable PowerPoint. Editable PowerPoint.

Karen Lynch: You're not cutting and pasting, you're not screenshotting, you're not copying.

Lenny Murphy: Right, no screenshots, no images. Embedded. Look, I want a bar chart and underneath it is the Excel data. Yeah, I know. I know. It's just so silly, but it's huge.

Karen Lynch: I know it's huge. And you think about, you know, let's just sidebar, you know, talk about getting philosophical. But when you think about the pain points that you solve for, when you're a research company, you're solving for pain points, this pain point Excellent. Thank you. It might seem like this is a small detail. It's a big one because I have gotten plenty of AI summaries, downloaded into a PDF or downloaded into a Word document and you still have to cut and paste them.

Lenny Murphy: Good Lord. Think about the process of just a few years ago. You export into SPSS and download the data into SPSS, manually recode it. Then produce tables, maybe in SPSS, maybe in WinCross or something of that nature. Then do your analyses or export into Excel at some point, into Excel, and then you manually manipulate the data in Excel and manually create charts or copy and pasting and put it into PowerPoint. Guys, this is still the standard process that many companies use and until a few years it was the only process to be used. So yes, these types of efficiencies are just, they're massive.

Karen Lynch: They're probably like, oh, didn't realize that would get Lenny and Karen so excited, but here we go.

Lenny Murphy: Yay, PowerPoint efficiency. Go, go, go. I had somebody reach out to me just a few weeks ago to ask about this very thing. And it was like, yes, you must export into an editable PowerPoint.

Karen Lynch: I know, I know. It's just so funny. It's so funny and hats off. Way to do this incremental thing. Really, is it that? Again, some developer was like, well, why do it in Word or whatever, all these other things. Why not just go right to PowerPoint? Because it's the standard.

Lenny Murphy: It's the standard. Good stuff. Good stuff. We like it. Friends of the Curian, big sensory testing platform. Quick anecdote. Curion bought Q Research Solutions in Old Bridge, New Jersey, and Q was my very first consulting client when I hung up my own shingle. Patty Nelson, shout out to Patty Nelson, founder and CEO of Q, bought by Curion. Anyway, there's my story. Now an agile product benchmarking tool. That's great, and seeing that happen to Sensory, right? Sensory, it's a very structured and process-oriented piece of area of research to a great extent. So to do that agilely, digitally, kind of following the same footsteps of what Behaviorally has done with shelf testing. So, so very cool to see. Yeah. Yeah.

Karen Lynch: It's funny because I first became aware of them. I hadn't done a lot of sensory testing until I joined Insights now where they do a lot of sensory testing, but they're not necessarily like, you know, they're, they're, they, they are, you know, kind of more of a full service research company that has like kind of a behavioral approach. And they have a behavioral approach and they have a lot of kinds of models and frameworks for doing sensory work. So I had done a little bit before that, but then I joined with them and started to do more. And that's when Curian came on my radar there. So I have a little bit of that, like, I still have a little bit of competition there in my head where I'm like, wait, I'm excited for this. Excited for them, you know, because it, you know, because anyway, so yeah, but, but cool. I think that whenever a company launches like a, some sort of a score or some sort of a metric, InsightsNow had done, they had score cards at 1.2, where it's, you know, some way of developing, you know, a framework to, or benchmarking tool, some way to assess, you know, I think it helps the, the brand or whoever's on the product development side, like just, you know, make those important decisions.

Lenny Murphy: I mean, absolutely that inferred from a business standpoint, if you own, if you own a framework or normative data benchmark, that's IP, that's monetizable IP, it turns Nielsen, we mentioned him earlier, you know, that became currency. Yeah. So yeah, very cool. Also, we should point out as a quality researcher, right? I mean, sensory is one of those things that I think we're very, very far away from that being a purely digital experience, right?

Karen Lynch: Yeah, in some categories, when it's food related, we are much closer when it comes to skin care, beauty, you know, there's a lot of augmented reality that can happen there, such as makeup, makeup, things like that. In those categories, we can be closer with some augmented reality. You know, when it comes to the aesthetics of food, you might be able to get there, you know, the kind of visual senses. But yeah, certainly from an aromatic or a taste. Taste, tactile. You know, you just can't get there unless you're in that room. Absolutely. One of my first sensory projects was with a dear friend and colleague of mine who was adventuring foods, and we were doing barbecue sauces. And I'm like, yeah, we just had a whole lot of barbecue sauce happening and all the different kinds of barbecue sauce happening. And I'm like, this is fun. And then they had shipped barbecue sauce to my house, so that I could get the heads up. And my kids are like, what are we doing? And I like eating all the barbecue sauce, like a bunch of nuggets, nuggets, nuggets and fries. Anyway, super fun stuff. So. So yeah, let's talk about tech. Let's wrap up with five minutes left and we got some, we got some tech stuff. So I think, you know, one of the stories that we're talking about are these AI, AI in browsers. And, um, I really do want to talk about this because I think AI native browsers, it's not a direct connection of why this would be relevant to the insights and analytics industry, but I've been thinking about it and I'm sure you have too. Let's talk a little bit about this. So what did this article you spotted? Tell me more. Yeah.

Lenny Murphy: Well, I mean, you know, fundamentally, advertising, you know, occurs within browsers. So which, by the way, I mean, openly, I said, they're going to start incorporating advertising. So, it's, you know, the form factor of how we use browsers would likely change here, probably more effectively. But what does that do when we're tracking past purchases? You know, when you click through rates, you know, even and live AB testing, right? So it would be a change, a technical change in the platforms that would affect how we conduct research, a variety of research. What metrics are available? How does it change behavior, consumer behavior? So we talked about that a few weeks ago with the perplexity shopping integration. So these things do have profound impact, not just in how we may interact with technology, but within the research world, that has implications on, you know, human behavior on data on process, etc, etc. And it's coming. Yeah, especially Google being taken apart, which, you know, looks like, at least they're going to attempt to, following that news, the Department of Justice wants to say they're a monopoly, and they want to break them up, like happened in 18 and other companies, that will create opportunities for other companies to emerge. If they're making them sell off Chrome, if I were open AI, I'd be saying, yep, got it.

Karen Lynch: Yeah. Yeah. My behavior has already radically shifted. Where and how I search for something so radically changed, compared to where I was even just two years ago.

Lenny Murphy: Are you using a shopping agent?

Karen Lynch: Yeah, so let's talk about these shopping agents, because I find agent work really interesting. So another article, and this will probably be the last thing we can cover, but Amazon is looking at taking all of that retail data and working with AI agents who might someday be smart enough to buy you stuff without you having to ask. I mean, we were talking about Christmas shopping, Imagine if Amazon says, look, I got your list. I know you're, I know you're worried about like, I got you. And then you get a, you get a thing that shows up and it's like, you know, I don't know. I see a world where shopping agents are, are super interesting, but it also has me thinking about use cases. Right. So, so the idea again, for AI agents, for everyone listening, who's not quite tracking where Lenny and I are and haven't read this article, The idea that, you know, it can make these decisions about the next step for you, right? So, you know, it knows your search history. It knows your browsing history. It can recommend products, right? All the algorithms can be recommended, but what if it actually goes to purchase for you? If you're a researcher and you're thinking about what if it's the data analyst that sees a trend and then is like, oh, we've got to launch this survey. You might not even be the one to suggest it. It just says, like, here's a gap in the data or here's a trend in the data. I'm going to launch a survey. On your behalf to dig into that and then share that with you. So anyway.

Lenny Murphy: Yes, what is the path to purchase for that? I mean, if you set up an agent every three months, I want you to go and find the best deal, I don't care, on toilet paper. I don't care what type it is, as long as it's three-ply and fluffy and whatever. Right, right, right. My own preferences. Yeah, you talk about toilet paper an awful lot. I do. It's the ghost of 2020, right? So, but what does it do? I mean, yeah, so I set up the criteria, but I'm not involved in the process anymore. You know, it is an automated component. So if we're doing a path to purchase, shopper insights, whatever, it changes things pretty dramatically. Yeah.

Karen Lynch: Well, and what if I'm an agency and I'm doing some, I'm doing usability testing on, on a website for something and, and, you know, and everybody says, Everybody's saying, you know, A or B, right? We're doing something, whatever. And everybody starts talking about the things and then an AI agent says, hey, let's make a quick revision to this prototype and put that in front of them. And you didn't even do that. It did it for you. And now you're getting, now you're in a secondary user test based on what the AI created, based on the feedback. And the next thing you know, it's doing all these iterations for you. And then you've got a radically different prototype and you weren't really even involved in that research. You just supervised the process of an agent autonomously working. It's so interesting. It's coming. It is.

Lenny Murphy: This is not science fiction, right? Everything you and I just talked about, I am quite certain someone is building that right now. It's happening.

Karen Lynch: Yeah, and I think that with all of these, when Lenny and I talk, I don't mean to be mansplaining to all of you, but when Lenny and I talk about these big things happening in the world of tech, Like pay attention to the AI agents and think about what's the application and insights, because that's where our brains go. Like our brains go, why is this story important? Like, it's not just about Amazon shopping, which is super cool. And by the way, you know, in an ideal world, we're talking to the insights professionals who are doing insights work behind this AI agent stuff at Amazon and in the e-commerce space. But the more important thing is, what does that mean for my business? What are the possibilities? Because there's some cool stuff if you really think about what an agent can do for you. Absolutely. These are true signals, guys. And do you recognize that? We appreciate you tuning in, but Karen and I both are looking for signals because we have to. It's our job for a variety of things, right? All of Green Book, everything in all of Gen 2, everything we do is about looking for signals and trying to figure out what it means going forward. So yes, when Karen Mance played It's important. It's me for a change, right? Yeah, you get a spread, you get a spread. Anyway, it is because everything just is happening so fast. So thank you for trusting us to find the signals to deliver them to you. Hopefully they help you in a rapidly changing industry, which is only going to continue. One last quick thing. I saw it. I wish I'd captured it. I saw a chart the other day, kind of like Moore's law. And it was a timeline. It was looking at the kind of areas of disruptive technology, right? And it's pretty slow every couple years until like the last 10 and it's all clustered right there, right? And it keeps going up. And I just thought, yeah, that's where we are. The pace of, it's not imaginary. The pace of disruptive change is only increasing because the pace of disruptive technology introduction is only increasing. So yeah, we'll keep picking up the signals. So I guess that's it. That's it for now. We'll be back in two weeks, December 20th. Final show. That will be our final show of the year. We will definitely be decked out. So join us decked out. If you're coming live, we can't see you, but you know, we trust that you'll be there. And if you want to send anything to the exchange at greenbook.org in advance, you can. We'll be looking for, you know, email releases, etc, etc, and we'll see you in two weeks. Yep, bye everybody. Thanks Karen. Thanks Karley. Thanks Lenny. Thanks Karley.

Links from the episode:

Ipsos Will Not Bid for Kantar Media 

Bounce Insights Secures $4.5M  

Orchard Secures Funding for Innovation 

M/A/R/C® Research Celebrates 60 Years 

Smart Eye Pro 13 Debuts 

Peekator AI-Powered Reports 

Curion Launches Curion Score PULSE™ 

The Rise of AI-Powered Web Browsers 

Amazon Dreams of AI Agents That Do the Shopping for You 

Apply for the Insight Innovation Competition!