General Episode Description: In this episode of Selling Intelligence, Denis Scott, Chief Marketing Officer at Laradin, joins Mark Petruzzi and Alan Rudolph to explore one of the biggest questions facing business leaders today: how do you measure whether AI is actually delivering business value? Drawing from his experience leading marketing at companies like OpenTable, Lyft, SurveyMonkey, and Fanatics, Denis explains why AI adoption is no longer enough. Organizations now need visibility into how AI is being used, where it creates measurable outcomes, and where it introduces unnecessary complexity. The conversation explores the challenges of measuring AI investments, hidden AI costs across organizations, and how executives can connect AI usage directly to business performance. What You’ll Learn: Why AI adoption alone is no longer a meaningful success metricHow organizations can connect AI usage to measurable business outcomesThe hidden AI costs most companies fail to trackWhy measuring AI proficiency matters more than measuring adoptionHow AI improves workflows when applied to the right business processesCommon mistakes organizations make when introducing AI into daily workWhy executive teams need visibility into enterprise wide AI usageHow AI measurement helps boards, CFOs, and executives make better investment decisionsKey Topics: AI measurement and ROIEnterprise AI adoptionAI proficiency versus adoptionHidden AI costsAI workflow optimizationMarketing leadershipExecutive decision makingAI governanceBusiness outcomesAI productivity measurementBoard reportingEnterprise technology strategyGuest Spotlight: Denis Scott Denis Scott is the Chief Marketing Officer at Laradin, an AI execution intelligence company focused on helping organizations measure AI adoption, productivity, and business impact. Prior to Laradin, Denis held senior marketing leadership roles at OpenTable, Lyft, SurveyMonkey, Fanatics Betting and Gaming, CharterUp, and other leading technology companies, where he built data driven marketing organizations and enterprise growth strategies. Resources & Mentions: LaradinComscoreOpenTableLyftSurveyMonkeyFanatics Betting and GamingCharterUpAI execution intelligenceAI ROI🎧 Listen now and follow Selling Intelligence for more conversations with today’s leading revenue executives, AI innovators, and GTM leaders. Subscribe wherever you get your podcasts. Mark Petruzzi (00:00) Welcome to Selling Intelligence. I'm Mark Petruzzi. Alan Rudolph (00:03) And I'm Alan Rudolph. Mark Petruzzi (00:04) Every company we work with has the same exact story right now. Budget is improved, tools rolled out, adoptions declared a win in some sort of a board deck, and almost nobody can tell you with real data whether any of it has moved the business at all. Alan Rudolph (00:22) Our guest built his career on the marketing side of some of the biggest consumer brands in tech, and now he's on the other side of that exact problem. Dennis Scott spent over 20 years leading marketing at Open Table, Lyft, SurveyMonkey, and Fanatics Betting and Gaming, and most recently served as CMO of Charter Up. He's now CMO of Laradin, an AI execution intelligence company built by the team that created the original. Digital Measurement Infrastructure at ComScore. Dennis, welcome to Selling Intelligence. Denis Scott (00:56) Hi everybody and Alan and Mark, thank you so much for having me. Excited to be here. Mark Petruzzi (01:00) Excellent. So we'll jump right into topic one. it and it's entitled From Consumer Marketplaces to AI Measurement, Dennis's Plant Path to Laradin. So, Dennis, you spent your career building brands people trust. they trust the the those companies with their money and their time. Companies like Open Table, Lyft, SurveyMonkey. What did you see that pulled you towards an enterprise AI measurement company at this point in your career? Denis Scott (01:27) Yeah, I think I've had the fortune of working for some great brands throughout my career, which has been an incredible experience. But one of the things that, as a marketing leader, you're always accountable for is really the the measurement, given that you're you're usually one of the largest line items on a PL. And as we all know, this AI explosion three years ago, none of us were really living in this world. And now It's sort of the topic of the day every day, every and so as a marketing leader, one of the problems I saw was this is really hard to quantify and understand. And how do we how do we figure this out? And so when I learned and heard about Laridan and the team that was running it, I almost ran to it living here in the Bay Area, being surrounded by this AI challenge and opportunity. To know that somebody is actually solving how do I think about this? How do I understand this? And how do I communicate this to leadership, to boards, to investors? Alan Rudolph (02:26) Awesome. great intro, Dennis. So Laridan's entire pitch is built on radical honesty. Love that comment about what's Denis Scott (02:34) Right. Alan Rudolph (02:35) actually happening within a company, within a company from an AI spend standpoint. And that's not always flattering, as we know in today's marketplace. So, how is marketing that kind of product different from marketing some of the journeys that you've been on more of a consumer brand? Denis Scott (02:52) Yeah, I steal from that old adage in marketing, half of my marketing is working, I just don't know which half. And so I think we should we should always be open to the idea that not everything is working. And you know, as a measurement platform and identifying opportunities for organizations through workflows, and we can get in deeper into that, I think it's actually important to share the good and the bad. Right, or I would say the good and the opportunity, right? And it is different than marketing a consumer brand because often a consumer brand, there's this this almost one-to-one relationship. Whereas in an enterprise type motion, you're you're solving across these large organizations, right? And those those opportunities that you're identifying. we are a very horizontal product working across all functions. You may not even know where those opportunities lie or where things are are going really well. And so I think you just are are talking about a one-to-many relationship and how we can help solve a f a, sort of organizational wide opportunity slash challenge, and so I think that's where. In a consumer brand, you could be talking to to people that fit your constituents, right? whatever it is. Alan Rudolph (04:05) Mm-hmm. Denis Scott (04:05) when I worked at Clorox, I worked on STP. It's like our our our target set was 18 to 34 year old males, And so Mark Petruzzi (04:11) Mm-hmm. Denis Scott (04:12) that was that one-to-one relationship. Whereas now it's like, hey, you're talking to senior executives about, yeah, how do we understand this AI investment and what are the business outcomes we're seeing from it? So it's there's still a personal element to it, but it's a much larger solved in some ways. Alan Rudolph (04:28) Got it. Mark Petruzzi (04:28) Yeah, and Dennis, what's interesting is when w as I've learned about Laradin over the last couple months, it strikes me as a company that is building that kind of consumer relationship just with executives rather than all consumers. So, and the way I look at it, especially having the the fact that I'm on two boards, any board director should be building their relationship with with Laradin because in that standpoint, these are all the things that at the board level and the senior executive level, these this is all the data you need to know, especially about something AI. And by the way, I think I'd like to take that quote you just made about marketing and make it about AI. because same thing, I know my Denis Scott (05:14) Right. Same thing. Mark Petruzzi (05:16) AI is working. I just, I just don't know which half. So and and every company, every single company, big and small, is going through that same challenge right now. Denis Scott (05:26) it's interesting, Mark. You sit in the right spot here for who our our target audience is, which is boards are asking these questions, investors are asking these questions. if you look at earnings calls a year ago, tokens didn't come up that often. Now that's skyrocketed as far as questions go, Alan Rudolph (05:43) Right. Denis Scott (05:44) But if you think about it, right, th I'm gonna make a silly statement, but if I used to say, hey, on an earnings call and I was fortunate enough to prep a lot of these and work side by side and be on these calls because marketing was such a large investment, right? So let's say marketing you're spending fifty million dollars, naturally they would say, Hey, what are you getting for that investment? How is that working? Right. Those are the right questions to ask. We often now find that in AI, it's like, hey, you're spending $50 million, what are you getting for that? And it's very hard to answer. I don't blame people. This is what we're solving, but but boards are asking those questions, investors are asking those questions, CFOs are asking those questions, And that's really what we're building and where our customers see the value is, shoot, I'm getting that question from my board and I don't know how to answer it. Right now I'm using surveys and asking people, and I think I know what people are using, and it's really kind of it's very, very challenging, to answer that. Mark Petruzzi (06:39) Yeah. And it has to Alan Rudolph (06:39) Yeah. Mark Petruzzi (06:40) be and it has to be so much more precise than that for it to really work. Meaning the the surveys, the feeling the feelings, the a lot of companies, even some big ones that I work with, are looking at wow, they just wanna get AI in the hands of their their employee base. It's not about that. It's it's it takes a lot more prec