Navigating Industry Shifts: AI, Privacy, and Strategic Growth

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

Lenny and Tim kicked off the conversation by discussing exciting industry developments like the U.S. insights market growth, Stagwell 's acquisition of BERA, and the critical need to align marketing and research technologies. They also buzzed about Dynata's recovery from bankruptcy, thanks to Bain Capital and Black Rock Financial Management, and speculated about possible IPOs for Numerator, WorldPanel, and Dynata.

The spotlight then shifted to new AI solutions from Kantar, Rival Technologies, Woxi, and Ipsos, highlighting the power of combining AI with top-notch data. Privacy issues, data ownership, and global infrastructure challenges following a CrowdStrike update also sparked lively discussions.

Throughout the episode, they emphasized the ongoing need for tech and legislative progress in data privacy, the importance of solid data practices, and the risks of AI biases and predatory tactics. Overall, the meeting offered valuable insights into the latest industry trends and future growth strategies.

 Many thanks to our producer, Karley Dartouzos. 

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Transcript 

Lenny Murphy: And we're live. All right. Happy Friday, everybody. And please join me in welcoming our special guest, Tim Lynch. Tim, welcome. Hello. Those of you who don't know, Tim is Karen's other half. I almost said better half. I probably shouldn't do that. No. No. Spoken like a very happily married man.

Tim Lynch: I know my place.

Lenny Murphy: And I've been looking forward to this. So I know you've subbed for me, but we had not had a chance to do this. For the audience, Tim and I have known each other for years and years. But why don't you give a quick bio for those who don't know you, Tim?

Tim Lynch: Yeah. So, you know, I have been orbiting in and out and around the research industry for 20, now, 30 starting in medical education, where we were understanding physician behavior, right? So it was a lot of qualitative and quantitative data. And then took a jaunt with FocusVision, actually running marketing for FocusVision, and then with Odintext, growing startups, and now focusing still in that technology behavior change, with change management. So that's the long version of a winding path.

Lenny Murphy: And married to Karen Lynch, which, you know, of course, been in the research industry for probably about that long, right? You're, yeah. Yeah. So, Anyway, so there we go guys. So Tim is something for Karen. She is on the beach. Somewhere is my understanding. Hopefully not trying to fly back home today. We'll get to that. What a day, what a day. We're going to kind of change things up a little bit. Karley, we'll do some shout outs really quickly. So everybody knows, IIEX LATAM right around the corner, IIEX AI, I think we're still down to the wire of accepting submissions for IIEX AI. So Karley, if you want to show that one, there we go. And then You may have gotten an email that we have launched the next wave of the GRIT report, well, GRIT survey. So certainly take a few minutes to do that. This is our innovation focused wave. So the questions are different from the last one you took. This does include the Grit 50. So this is when you tell us which companies you consider to be innovative. I expect to see a lot of changes in that ranking this year because of so many new companies entering the space. So please take a few minutes and participate in Grit as well. And I think that's all the shout outs that we need to give. Tim, anything, anything you want to give a shout out to?

Tim Lynch: No, I always love, you know, working with clients and trying to get them to, you know, be in the right mind space so that they would vote for us, you know, in the great 50.

Lenny Murphy: Well, I don't know if we walk a fine line there with, uh, with that piece of things, but we, uh, certainly it's the closest thing we have to a brand tracker. So, um, let's, uh, uh, please participate. All right, that's probably a good segue. We got a bunch of stuff to cover today.

Tim Lynch: This is not this, well, I was gonna say- A lot of news. Yeah, a lot of news. A lot of news for the middle of July, this is. Yes, yes.

Lenny Murphy: And I was gonna say it's not the weekend AI, but actually that's not true as we get into, it's the weekend research AI. Right. With everything that was popping. But before we even get into that, the segue, if you had not checked it out, the Insight Association, in collaboration with the University of Michigan and with the sorry, it's Michigan State University, not University of Michigan, my apologies, and SMR, published the newest data on the U.S. Insights industry growth, $77 billion. Now, we should make clear that that was last year. So always keep that in mind. It's not global turnover. That's the U.S., the size of the market. 7.6% growth on average, but there were a few things that popped out at me about kind of sector-specific growth that I think was interesting. Long story short, traditional market research, only about 3%, but data and analytics, web data and analytics was 15%, I think, off the top of my head. So it just shows what's driving the industry growth overall. Uh, it'll be curious to see whether this time next year, we see the same thing for 2024, but Tim, what jumped out at you? Yeah.

Tim Lynch: Uh, you know, it's, it's good to see, you know, in, in a world where we keep talking about, you know, everything is going up and up and up. Um, that, you know, the, the number. Almost 10% is, you know, rock solid, steady growth. You know, there are, of course, the poppers, right? And analytics always tends to get an outsized bump. And I think that's just because it cuts across everywhere, right? Like, no matter where you are in the stack, in the client side, researcher side, brand side, like, everybody's using it, everybody's consuming it. So you would expect to see uh, a larger bump. Um, but not a, definitely not a decline, definitely, you know, solid and steady.

Lenny Murphy: Yep. The value of, of research and data. Uh, and you know, in the past I've been nitpicky about the definition of the segments. Um, uh, But as the era of AI starts just really leveraging data across all channels, I'm getting less nitpicky about that. So I think that the way that we define the market is fairly accurate, where I may not have, didn't necessarily agree with it two or three years ago.

Tim Lynch: Right. And again, you know, 7% growth, like that's on top of a very big number, right? When we're talking about 77 billion, right?

Lenny Murphy: Just just us just us just us right that's that's that's a significant movement Yep, absolutely Absolutely, so it's definitely things to feel good about again last year. So there's been some anecdotal evidence this year He's been a little rockier. Although overall, I would still expect the size to grow, even if the pie does grow, even if the slices may look different as we, uh, next year on where the growth is. Yeah. So check it out. Uh, the, uh, Karley, I'm sure you put the link in. Yep. There we go. And then we get into all the other news. So, uh, let's, uh, jump out. I think that is also related to this, uh, Stagwell bought Bera to integrate that into the Harris poll. And Bera is effectively a brand tracker in its purest form. That's all they've done for many years. But I think what jumped out at me was how they're building this into the Stagwell marketing cloud. And how Mark Penn has been very, very purposeful in leveraging research properties, you know, the Harris Poll, etc., etc., as data conduits that feed into the larger marketing organization of Stagwell. And I think that's exactly where everything is going. And we'll see more of that. What's your take?

Tim Lynch: Right. And this is just another great example of that. We have all of these marketing technologies and market research technologies that are out there, but it's how do we align them throughout the stack so that as we're using it, as we're proliferating these insights through our organizations, there's a flow, right? We're building the pick as an analogy, right? We're building the streams, we're building the pipes, we're building the infrastructure, we're connecting the wires. It's really about getting that, we have this thing and this thing does amazing at collecting, capturing and analyzing information, but then it needs to work in relation to everything else that we are trying to do.

Lenny Murphy: Yep. Well, and good segue on that to the next thing that popped out, Dynata came out of bankruptcy. Um, we thought that would be a very rapid thing for them. Uh, what jumped out to me was who the new owners are. Um, so, uh, division of Bain, uh, and then also some participation from Blackrock, um, and collectively, uh, I think another 81 million, uh, that they gave them in terms of growth funding. But what jumped out was, Oh, Bain. Who else does Bain own? Oh, Bain owns Cantor. Um, and now it's not the same division, right? That's Cantor's Bain Capital. This is another division of Bain, but it's still Bain, um, uh, continuing to make significant investments in data. Based organizations. And we know that Kantar, they're selling off some components of that. And it's been kind of rumored for a while that we would see Numerator plus WorldPanel maybe go be spun off into an IPO. And now I'm wondering, are we going to see Numerator plus WorldPanel plus Dynada? Uh, and maybe profiles, um, spun off, uh, into an IPO and what those things all have in company in, uh, together it's, it's access to first party consumer information directly.

Tim Lynch: Um, and used, which is really interesting, you know, and, and I think, you know, from, from reading it, like the, the, the signals are there, right. The confidence in the signals are there. Yeah. Um, I think, you know, the word bankruptcy tends to shake the foundations of people. And it's like, they went, what, four or five weeks to go in and out, get it approved. And Bain's commitment to their runway, they now have 36 months of runway, right? So they're really looking at like over the next three years. And so that should hopefully tend to settle things a little bit from, you know, alleviate any of the bankruptcy fears and concerns.

Lenny Murphy: Agreed. Agreed. And I think we've been consistent through messaging on this, that the messaging says our take, but what we just read on it, that sure, Dyneda, there may have been some, maybe they were over leveraged. And that's probably a fair thing to say. But they dealt with it and Now they're in a better place, and the debt that they had accrued in their acquisition spree a few years ago with SSI and all of that, that's all now eminently manageable for them. As they get ready for the next thing. And there will be the next thing. So that's the other thing we could recognize. If Bain was involved with this, there will be another transaction. There was always going to be another transaction. So that will occur at some point in the future. And that will be based upon not the fundamentals of their, yes, their revenue, all those things, yes. But the core asset is the data and the connection to consumers to drive data into those channels that we were talking about before.

Tim Lynch: Right, which is still there. And, you know, and there's really like, there's the M&A and what goes on and who's investing in whom, you know, from the operations of the company. But then there's the everyday, right? I wake up, I have my coffee, still there, they're providing the value that they've always provided, like the core of what they provide to their customers hasn't changed. Yeah, right. So like, all of this stuff is You know, it, it, it's the operations and behind the scenes, but the day-to-day impact on the researcher should be zero is zero.

Lenny Murphy: Yeah, I agree. I agree. So interesting times, um, the, uh, you know, they are a significant player and, uh, and so it's good for the industry that this was, you know, just a really quick process. So they could get on firmer financial footing and move forward from here. So absolutely. Good news. But that leads into a couple other things that popped up. Multiple announcements on new vertically integrated AI solutions from major players in the industry. First, the Kantar, their early stage innovation solution, which fundamentally, they've trained an LLM off of the data that they have around innovation testing and have now made that a new platform. Why don't we just run through these real quick, because I think it's interesting. Yeah, they kind of all dwelt together. Yeah, yeah. Our friends at Rival Tech, AI and conversational research, make perfect sense. They were an early player and kind of transitioning to conversational research versus the survey model. Now they're fully going AI, duh. So it's great to see them doing that. They are doing that under a new brand called Arrival Labs. So shows their commitment to, to experiment and innovate in that piece and build it into the commercialization. Behaviorally, partners Waxy, that's the third, fourth partner. Partnership for Woxi in just the past two weeks. Speaking of innovation, that is what Woxi does. They're similar to Basie's in terms of the product intent, but supposedly better, AI-driven, etc. Now they're integrating with lots of other platforms, so interesting there. Then Ipsos, Creative Spark AI, an ad testing platform. That was trained off of 18,000, Human response cases. Exactly. Yes. That's what all of these things would have in common. They're sitting on a lot of proprietary information. They're now purposely developing AI solutions, let's call them apps for lack of a better term. I think it captures the idea that they are purpose-built to address specific business issues and create cost and speed, and hopefully even quality, efficiency and upgrades.

Tim Lynch: Absolutely. We were talking earlier about all of the AI and large language models, right? We have the Titans out there, right? We have Google, Microsoft OpenAI. We have AWS and Anthropx partnership and Meta doing theirs with LUM. So there's a rising tide that's lifting. So having AI, it's like oxygen. We all have it now in one way or another. But what sets these apart is its AI enabling those with really good data, those with really good, like you said, first party information to then leverage bringing those two together. And that's like, you know, Canter's solution with their, you know, 40,000 and Ipsos with their 18,000. So they've, they're sitting on this, this really good information that AI can then leverage to be very different from the AI that everybody else has access to.

Lenny Murphy: Yep, yep, 100%. And that, you know, we've talked about for, for years here on the show, Karen and I, and I know you, I'm sure you and Karen have talked about it privately. We were going to get here. This was always where things were going. And it's still early. All right. But we're seeing that, that, that the promise of research was quality data, access to quality data. And now productizing that data asset aligned to specific business issues. It's a natural evolution of what we saw with automation, you know, the appification of research, if you will, which grew out of DIY. And this progression has been clear on where we're going to get. And now that's, and hence why next year, we'll see I expect the growth of the pie for revenue standpoint, but our friends at Insight Association and SMR match create a new category. It may be fully automated, fully AI-driven solutions, and I expect that we'll see that pie grow more and more as a contribution of revenue of a company or as a share of spend from brands simply because it makes sense. Now here, you don't have the horse. I don't either. But, but here's the, here's the beating of the horse component. It starts with quality data. You know, last week, we dived, you know, pretty deep into that topic. And there will be more on that and other ways soon. If you're in the panel business, you better damn well get your house in order really quickly from a data quality standpoint, because that's what's gonna be driving all of this. And if you are a resource supplier, start thinking about moving away from the bespoke ad hoc projects to building data, proprietary data assets, and building solutions off of that, because that is simply where we are rapidly, rapidly going. Agree, disagree?

Tim Lynch: Yeah, we're seeing this large bifurcation between the haves and the have-nots, right? There are, as we talk, like I still work with a lot of companies, they're still not in AI yet, right? They're still what AI conversations would have been over a year ago, right? And so there's the separation. And those that had good data practices, good data governance, great data connectivity, seeing across systems, across silos, being able to join their consumer information, their first party research data, and their ERP systems are getting an outsized benefit. Now, when these companies like Kantar and Ipsos come online and they can apply yet even more intelligence, right? You're pouring gasoline on that fire that is just gonna grow for those that have done the previous work. And what does that mean for your business? What does that mean for you? Everybody has to answer that for themselves.

Lenny Murphy: Yep, yep. Excuse me, I just noticed. Karley, we ran through that really quickly, if you want to pop in the Ipsos link as well, before we move on to the next piece, because we just kind of bundled those together. And let's now I think we're moving a little more into your neck of the woods. Thank you, Karley. On what we kind of themed customer experience and privacy and a few, a few stories popped out here. You want to tackle the first one about Gemini and another oopsie potentially from Google on that.

Tim Lynch: And these privacy issues, they're sticky. I don't know that we have a definitive answer. There's a concern, right? You were looking at data within a PDF within my Google workspace. We're humans and we're very predictable. So how much of it is just, I am so predictable in what I will do versus you've actually looked at the data and have seen the data. And they're going to get to the bottom of it. They're going to be able to trace it out, but Google is in their Google workspaces. You can connect that into Gemini. You can use it to train it. They have barriers, data barriers, so that the model doesn't get trained on the data within, you know, within your Google Drive, if you will. But it puts people on edge that they're, you know, the whole privacy concern.

Lenny Murphy: Right. Which remains, let's be clear, a barrier of adoption from some enterprises. Right. So, you know, that's not a, like, There's a personal element of, I don't want you reading everything on my drive. Okay, fine, I get that. But these are significant issues for very large organizations that do want to address data privacy and ownership issues internally. When things like this come up, it's important for us to recognize that as fast as things are changing, there's still a lot of things to be worked out. Both technologically, legislatively, et cetera, et cetera. And that's a, uh, uh, pretty good example of that.

Tim Lynch: And on the big ones, um, right on, on, when I say the big ones, right, we're, we're talking about, you know, Microsoft, Amazon web services, Google and meta, right. All of those, those are like foundational technologies. Now on the Microsoft side, that's OpenAI, that's ChatGPT and or Microsoft Copilot, right? And the difference there is that you can use ChatGPT, OpenAI's model inside your data, but it doesn't leave the barrier. Microsoft calls it consumer data protection. And that's what enables enterprises that are in the Microsoft stack to leverage large language models without crossing, like a Ghostbusters reference, right? We don't cross the streams. And Microsoft has that. And in AWS, if you're an Amazon seller, Shopify is built on AWS, I believe, and their partnership with Anthropic and Clause. Right. So they have the same way in AWS to leverage tropics, a large language model without the corporate data crossing that barrier. Um, Google is doing the same thing with Gemini and workspace. Um, and Meta is doing the same thing on their side with Lama opening open sourcing Lama. You can hear the hesitation of my voice cause Meta also does a lot with lookalike audiences. Mm. So there's a little bit of it, they are separate, but again, we're so predictable as humans. Like I just need enough information to give a profile, to generate a lookalike audience that can then be targeted with your ads.

Lenny Murphy: Well, let's diverge from it. There's not, there's not a link for this Karley, but as we're talking, right, it's a, it's, it's Friday the 19th. Um, uh, many of us woke up to, the sky is falling head, you know, uh, of, uh, Meyers says a CrowdStrike update that, um, uh, did not work well within, uh, Microsoft enterprise, uh, and things went down all over the world and important infrastructure type of systems, airlines, banking, uh, nine one one. I mean, very widespread challenges, uh, uh, globally. And so here's what makes me think. We're talking about these big systems that are rapidly approaching the same level of kind of infrastructure importance globally in just how we live. But today we get a reminder that that's not always a good thing. That level of dependence, Also comes with some trade-offs of potential vulnerabilities. So I'm wondering if if Obviously, it's too early to think about but is the world kind of feels a significant amount of pain Today and there will but there's economic fallout from this is this was not a my internet's down, you know There's some real crap that happened right as a result, right? Well, we rethink things. Is that something the AI is going to have to deal with? Rethinking focus more on edge computing versus cloud computing.

Tim Lynch: Well, and where do we have redundancy? Where do we have redundancy? Where in our systems is there replicability? Single point of failure is always an issue. Cloud strike is on it. Their poor CEO is I mean the BBC was all over him then he was on like he got Jim Cramer out of bed Like it's just that that poor guy The reality is like and I've seen some funny things about like this is what we thought y2k was gonna be I was on call that night.

Lenny Murphy: I've been working for a wireless company. I was on call. So anyway, go ahead and Yeah.

Tim Lynch: So, you know, and there is an update and it is rolling through and it is recovering. And so we are what, 12 hours from disaster to recovery. Um, now if you were taking a flight or, you know, you had your banking systems in Australia that we're trying to update, like not to minimize the disruption, but at a global scale, like 12 hours.

Lenny Murphy: Sure. Right. But I do think, and I want to be conscious of time, we've got a couple more things we want to cover, but it is more to the point earlier if we're still early in this, right? We're still working things out. And here's an example where things like this happen. And I think that there's probably going to be a little bit of a backlash to think through the, yes, redundancies. What does that look like in the world of AI when you're synthesizing all of this data from everywhere in the cloud, yada, yada, yada. As life goes on in the world, and life just happens, weird stuff occurs, and then you realize, oh, wait a minute, we're gonna have to rethink that. We shouldn't become lax in thinking, oh, the way we do things today is the way it's always going to be done. If anything, I expect that the pace of change to realize, oh, just because we've been doing things in the cloud for the last, uh, whatever, you know, 20 years, 20 plus years. Yeah. Yeah. Now, maybe we need to start thinking about, uh, hardware again. And you know, what does that look like at a localized level as part of those redundancies? So just, just thoughts on, on all of that.

Tim Lynch: Yeah. And you know, there is a lot in it. We had a lot of AI for everybody, where you and I can talk about our emails or our presentations and things like that. Now, particularly with the Kantars, the Ipsos that are coming in, we're talking about AI at a systems level. It incorporates a lot of, what do we do for failover? What do we do for training? It's a prediction. So it is the best prediction to optimize for yesterday. Right, which means like, it is, we are highly confident to predict what happened yesterday. New things will happen, new dynamics will come in and we'll need to figure those out. They have the plus side of, it makes opportunities for us to test new models, test new things, test new consumer ways of messaging to them, ways of interacting. It has a downside of are we, do we have biases in, right? We don't want to have things like predatory lending. We don't want to. So, you know, there's two sides to the same coin. And thankfully there is a lot of information and a lot of very smart people who are working on this. We just need to hold space for that conversation before we race in and get ourselves into a, Oh, no, we have a single vendor solution and now they're down. Or we have injected a bias that basically we're doing predatory lending practices in our banking because we turned AI on to approve, you know, loans or interest rates, right? There's just a responsibility. And if we don't hold that space for that conversation, we can get ourselves in trouble.

Lenny Murphy: Yeah, well, on two other examples, as we head into the wrap-up that I think are related, and we kind of hit it out earlier on the challenges around personalized experience and privacy. That's a data-driven process. There was a great, great piece that was put out on LinkedIn on that by Jeannie Walters, if you want to put that in. Karley, that would be great. And I think it's another example of that holding space. These things are not resolved. We do not know where this goes yet, right? They're still on the edge of dystopian hellscape or, you know, personal control and, you know, yay, everybody knows your name, right? The cheers, AI-driven cheers. Type of scenario. I just dated myself really badly there. You knew what I meant. Um, and we also had a legislative issue. The next thing that popped up was, uh, was meta, um, working through stuff with the EU and basically saying, yeah, we're just not going to introduce anything new. If you're going to, uh, we don't want to play around with your legislation, uh, and deal with that. So all just worked out the thoughts on those two things.

Tim Lynch: Yeah, I love them both. Meta, they are not going to stop innovating, right? They can't. It's in their DNA, right? From their history of going fast and breaking things. And then it was like, okay, hold on, we have to be grown up. So we'll go fast and break things with a stable infrastructure. So what they did is it's still open source. Now, they're not going to play in the EU and we need the EU on that other side, right? If it wasn't for the EU, if we didn't have GDPR, right, like we're, all the things we would do, right? Like, all the things that we would do with your data if we didn't have some, you know, some grown up in the room to ground us. So it's great. And we need that healthy tension.

Lenny Murphy: Yeah. Agreed wholeheartedly. And that's probably the last thing. Well, let's let these Fridays be so much fun.

Tim Lynch: You guys have such a blast on these Yeah, and there's so much good stuff.

Lenny Murphy: Well, we're gonna jump just for a second though. It actually should have been here the alphabet backs out of acquiring HubSpot. I think that was primarily a data play even though it's from a business standpoint. I am saying they backed out because if they did they would pass regulatory muster here in the u.s. So similar to you around AI that They would probably go. No, that's a little too many eggs in one basket there, right so Right.

Tim Lynch: But you have the, you know, you have the sales forces that are out there, right? And you have Zendesk that is out there, and they're now going into the CRM space. So HubSpot as a marketing automation HubSpot as their CRM would have been cool. Yeah, it would have been really cool to have that, you know, five years from now, all integrated into Google Stack.

Lenny Murphy: Yes, agreed. The, and I'm sure that Well, Microsoft's probably going, Oh crap. Cause they were probably looking at it as well. So for the time being, it looks like that Alphabet will be Alphabet and HubSpot continues to do incredibly well on their own.

Tim Lynch: Absolutely, because you can connect your HubSpot to your Google Suite. You can connect your HubSpot to your M365. So whichever, you know, foundational system you're using, they both work with it.

Lenny Murphy: Yep, yep, absolutely. All right, and let's end with some good news, as we started with some good news. According to the new data from the IPA's Bellwether report, the UK marketing budget's growth is at the 10-year high. That's unusual, because usually the Bellwether report, especially the past couple of years, has not been so fantastic. So we Now, I'm not sure of the timeframe for that. I suspect that's last year, too. So if we combine that data with the Insight Association data, yes, everything has been very good for marketing and for research and for insights. So good news on that, if you want to put that in, Karley. Great. Uh, and then you brought a report out that I thought was really interesting. You want to talk about that? The consumer trends?

Tim Lynch: Yeah. And that kind of goes right with the other report, right? Um, you know, it's the changing consumer behaviors, right? Whether, whether you're, you're changing from Netflix to YouTube, um, and intergenerational, how those changes are happening, but they're happening, they're growing. They are, um, more and more. Identifiable targets for marketing and advertising channels that are very well defined. You get great attributions, right? So we know we can trace... Our ad spends on our exposures to our conversions. And, and I think in my humble opinion, that's what's driving them, it's okay to spend more. I don't mind spending more on advertising if I know it's effective.

Lenny Murphy: Yep. Absolutely. 100%, Anything else you want to bring up, Tim, before we wrap up?

Tim Lynch: Oh, thanks for having me. These are so much fun.

Lenny Murphy: It's great. Well and for you in our audience, I'm planning on taking next Friday off And I haven't decided well, my wife has not decided for me whether I will have time to do the exchange During that day off. So you may be filling in for me again next week So I'm glad you like it because you're kind of stuck. All right, thank you guys so much Karen posted a picture in the comment there we go Karen, you're listening in. Oh, I see that. Oh, all right. So maybe we just need to just give in and just all do that. Karen may have the right idea. We should have just done the exchange from the beach.

Tim Lynch: Well, with the whole outage and travel, we couldn't have gotten there.

Lenny Murphy: Well, that's true. That's true. And you and I talked about whether You know beaches or not. We're a little too pale, right? We're not genetically engineered effectively for beach time. We'll do one from a cold cave in Kentucky Yes that whole you do a whole other show on that so I Anyway, Tim, thanks, audience. Yeah, it was a pleasure. It's always great to catch up and love talking with you. Audience, thanks for listening to us. Hope that you got some value out of this. You will see some combination of Karen and Tim and I again next Friday. And Karley, thank you as always for keeping everything going behind the scenes. That's it. Bye.

Links from the episode:

US Insight Industry Grows 7.6% to $77bn Revenue 

Buy Brings BERA's Predictive Tech to The Harris Poll 

Dynata Exits Bankruptcy Proceedings with New Equity Owners 

Kantar Launches Early-Stage Innovation AI Solution 

Rival Technologies Launches Rival Labs to Pioneer Future Tech and Innovation in Conversational Research  

Behaviorally announces partnership with Woxi   

Ipsos launches Creative|Spark AI, an ad testing solution 

User alleges Gemini AI scanning Google Drive hosted PDF files without explicit permission — Google says otherwise 

Customers Want Personalized Experiences AND Privacy. Can They Have Both? (Jeannie Walters)  

Meta won't offer future multimodal AI models in EU 

Google Parent 'Drops Out' of HubSpot Acquisition Talks 

UK Marketing Budget Growth at 'Ten-Year High' 

Consumer Trends: 2024 Mid-Year Report