Latest / Influencer Marketing with Fexingo: Creators, Sponsorships, and Modern Endorsement Deals / Why Influencers Are Now Buying Their Own Customer Data Sets
Transcript
- Lucas: So there's a new line item appearing on the balance sheets of top-tier influencers, and it's not merchandise, it's not production equipment. It's data sets. Luna: Data sets? Like, they're buying customer lists? Lucas: Exactly. I'm talking about purchase history, demographic profiles, even browsing behavior — packaged and sold by data brokers and retailers. And influencers are starting to treat this the way a brand would: as a strategic asset. Luna: That feels like a pretty big shift. For years, influencers basically lived off audience data that platforms gave them — likes, comments, age ranges. But this is actual transactional data. Lucas: Right. Platform analytics tell you someone watched your video. A purchased data set tells you what they bought at Target last month. It's a completely different level of intent signal. And it changes how influencers negotiate sponsorship deals. Luna: How so? I'd think brands are the ones who usually bring that kind of data to the table. Lucas: They do. But when an influencer shows up with their own third-party data — say, a cohort of 18-to-34-year-old women who spend over $200 a month on beauty products — they can say to a brand, 'My audience overlaps 40 percent with your best customers, and here's the proof.' That's a much stronger negotiating position than just showing your subscriber count. Luna: So it's basically the influencer version of a media kit, but with actual purchase data behind it. Lucas: Exactly. And some are taking it further. A few of the biggest creators are buying data sets specifically to launch their own product lines. They want to know exactly what their audience already buys, in what quantities, at what price points, before they ever commission a prototype. Luna: Do you have a specific example? Because this sounds expensive. Lucas: It is. A quality, targeted data set from a major broker can run anywhere from fifty thousand to half a million dollars, depending on the size and specificity. But for someone like Emma Chamberlain, who's building a coffee brand, spending a hundred grand to know exactly which roasting profiles her followers prefer at retail — that's cheap compared to guessing wrong. Luna: And MrBeast? I could see him buying data on snack-food purchasing patterns for Feastables. Lucas: He almost certainly does. Feastables is sold in Walmart, Target, gas stations — each of those retailers has syndicated data. MrBeast's team can license that data through third-party aggregators and see, down to the SKU level, what's selling where, and to whom. That lets them adjust flavors, packaging, and placement in near real time. Luna: So it's not just about negotiating with brands — it's about running their own CPG companies better. Lucas: Right. And the trend is accelerating. I spoke with a data broker who said inquiries from influencer management companies have tripled in the last eighteen months. They're not just buying broad demographic slices — they want granular stuff: 'people who bought this specific skincare product in the last 90 days and also follow at least two beauty creators on Instagram.' Luna: That's really specific. But isn't there a privacy angle here? We've had all these regulations — GDPR, CCPA — and consumers are more sensitive about their data being sold. Lucas: Absolutely. And that's the tension. The data sets influencers are buying are technically anonymized or aggregated — no names, no emails, just behavioral clusters. But the line gets blurry when you combine that with what an influencer already knows about their audience. If Emma Chamberlain buys a data set that shows her followers overwhelmingly buy a certain oat milk brand, that's useful. But if she then uses that to target ads on Meta, it can start to feel invasive. Luna: So the smart influencers are probably being careful about how they use it. Not just for legal reasons, but because their audience trusts them. Lucas: Exactly. Trust is the currency. If a follower feels like their data is being used against them, the influencer loses that connection. So the ones doing this well are very transparent — 'We're using aggregated data to make better products for you' — and they're not crossing into creepy individual-level targeting. Luna: It's interesting: the influencer economy is becoming more data-driven, but it's still built on personal connection. There's a balance. Lucas: And that's where the smart money is going. Some creator funds are now specifically allocating capital for data acquisition. They see it as a moat — the more you know about your audience's actual buying behavior, the harder it is for a competitor to replicate your product launch. Luna: So we might see a world where top influencers have their own proprietary data warehouses, just like big retailers. Lucas: I think we're already there with the top tier. And it changes the sponsor relationship too. Traditionally, the brand owns the customer data from the campaign. But influencers are starting to negotiate data-sharing clauses — 'I'll run your campaign, but I get a copy of the purchase data generated.' Luna: That's a power shift. Brands used to control the data because they controlled the ad spend. Now influencers are building their own data assets. Lucas: Right. And this is the kind of shift that's happening beneath the surface of the creator economy. It's not about follower counts anymore. It's about audience intelligence. And the influencers who treat data as a first-class asset are going to have a huge advantage in the next few years. Luna: It makes me wonder: at what point does an influencer's data operation become more valuable than their content? Lucas: That's a great question. And there are already cases where an influencer's data licensing revenue — selling insights to brands — rivals their sponsorship income. I think we'll see more creators spin off data as a service businesses within their own operations. Luna: So if someone's listening and they're an aspiring creator, should they start thinking about data strategy now? Even with a smaller audience? Lucas: I'd say yes, but start small. You don't need a hundred thousand dollar data set. You can start by surveying your audience — asking them what they buy, what they wish existed. That's first-party data, and it's more valuable than any purchased list because it's direct. Then when you do have the budget to buy third-party data, you know what to look for. Luna: That's a good point. The first-party piece is something every creator can do right now, regardless of size. Lucas: Exactly. And honestly, if you're a creator who's thinking about this, you're already ahead of most. Because the industry is moving fast. The ones who treat data like a strategic asset are going to be the ones who build lasting businesses. Luna: Before we wrap, I wanted to circle back to something you said about trust and transparency. If these conversations about data and marketing are sparking ideas you're actually using — whether it's a smarter way to negotiate a deal or a new approach to audience research — we'd love for you to consider supporting the show. It's listener support that keeps us ad-free and focused on the substance. If that feels right, you can find us at buymeacoffee.com/fexingo. Lucas: Absolutely. And speaking of staying ahead — one last data point. I've heard that some of the biggest creator management firms are now hiring data scientists and even former ad-tech engineers to build custom audience models. That's not just a trend; it's an arms race. Luna: So the next frontier isn't just buying data sets — it's building the infrastructure to use them. Lucas: Right. And that's where the competitive advantage really scales. A purchased data set is a snapshot. But a proprietary audience model that updates in real time, that you can query for any product category — that's a moat. Luna: I wonder how long before we see an influencer IPO that's valued more on data than on content. Lucas: Probably sooner than we think. If I were a venture investor looking at creator-led brands, I'd be asking one question: 'Do you own your audience data, or are you renting it?' And the answer will tell you everything about the long-term viability of the business. Luna: Alright, that's a good note to end on. Thanks for listening, and we'll see you next time.