Latest / Influencer Marketing with Fexingo: Creators, Sponsorships, and Modern Endorsement Deals / How Influencer Campaigns Now Rely on Creator-Only Data
Transcript
- Lucas: Luna, I want to talk about something that I think is one of the quieter but more consequential shifts in influencer marketing right now — and it's not about AI clones or performance bonuses. Luna: Okay, you've got my attention. What's the shift? Lucas: Brands are starting to demand creator-level analytics — not just reach and impressions, but things like daily active engaged audience, repeat purchase rate, cohort retention. They're moving away from third-party demographic overlays and asking creators to share their own first-party data. Luna: That's a big change. I mean, for years the standard was just 'how many followers' and maybe a breakdown of age and gender from the platform's public data. What's driving the shift? Lucas: Several things. First, the platforms themselves — Instagram, TikTok, YouTube — are giving creators richer dashboards. So creators have better data than ever. But also, brands are getting burned by vanity metrics. A campaign might get a million views, but if the actual purchase rate is flat, what was the point? Luna: So they want to see the numbers that actually correlate with sales, not just attention. Lucas: Exactly. I came across a really concrete example last week. A midsize skincare brand called — I'll just call them 'Bloom Skin' — they had been running influencer campaigns for about two years. They were using a standard reach-based selection model: find creators with 50,000 to 200,000 followers, good engagement rate, post three times over a month. Typical stuff. Luna: And it wasn't working? Lucas: It was fine — but not great. Their customer acquisition cost was around $28 per new customer from influencer campaigns. Then they tried something different. They asked their top twenty creator candidates to share a specific data set: over the previous ninety days, what percentage of their engaged audience had made a purchase in the skincare category in the last six months. Luna: Wait — they asked creators to pull that data? Can creators even see that? Lucas: Some can, if they have a direct connection to a Shopify store or use a creator commerce platform. A lot of creators running shops or affiliate programs have access to purchase-level cohort data. So about a third of the creators they approached actually had that metric. And among those, the numbers varied wildly — from 2 percent to 18 percent. Luna: Eighteen percent — that's huge. So they obviously picked the creators with higher purchase intent audiences. Lucas: Right. They ran the campaign with just the top five creators by that metric. Their customer acquisition cost dropped to about $17 per new customer. That's a 40 percent improvement. And the repeat purchase rate from those customers was 22 percent higher than from their previous campaigns. Luna: That's a compelling number. But I have to ask — how do we know it's the creator data causing the improvement, and not just selection bias? Maybe those creators just had better content or better audiences for other reasons. Lucas: Fair question. The campaign was structured so that the creative brief was identical across all five creators — same product, same CTA, same posting schedule. The only variable was the audience composition. And the brand ran a control group with three creators from their old pool who had similar follower counts but lower purchase-intent scores. The control group's acquisition cost was $26. Luna: Okay, that's a solid mini a b test. So the data really mattered. But I imagine not all creators are comfortable sharing that level of detail. There are privacy concerns, and frankly, some creators might see that data as proprietary. Lucas: That's the tension. Creators are becoming more savvy about the value of their data. Some are starting to treat it as a tradeable asset — 'you want my audience's purchase behavior data? That costs extra.' And brands are having to negotiate data-sharing clauses into contracts, sometimes with tiered compensation. Luna: So it's not just about picking the right creator anymore. It's about negotiating data rights as part of the deal. Lucas: Exactly. And this is where the industry is heading. I've talked to a couple of agency heads who say that within the next eighteen months, most major campaigns will include a data appendix in the contract — specifying exactly what metrics the creator must provide, at what cadence, and how the brand can use that data. Luna: That's going to be a big shift for creators who are used to just sending a screenshot of their insights page. They'll need to formalize their reporting. Lucas: Some are already building internal dashboards. I know a creator with about 300,000 followers on YouTube who hired a part-time data analyst just to prepare reports for brand partners. She said it's helped her command 30 percent higher rates because she can prove her audience's purchase intent. Luna: That's smart. But I also wonder — does this create a two-tier system? Where the creators with the resources to measure and share data get the best deals, and smaller creators get left with lower-performing campaigns? Lucas: It could, if brands don't adjust their expectations. But I think the smarter brands are starting to look at this as a spectrum. A creator with 10,000 followers but a highly engaged niche audience might still have great data — they just need a simpler way to share it. Some platforms are emerging that standardize this reporting. Think of it like a credit report for creators. Luna: A creator credit report — I like that. So instead of brands asking for custom spreadsheets, they pull a standardized score. Lucas: Right. There are startups building exactly that. They connect to a creator's social accounts and commerce tools, and they output a single 'audience quality score' that aggregates things like engagement consistency, purchase affinity, and audience retention. Brands can then filter by that score. Luna: And what about the privacy angle? If a creator connects their Shopify to a third-party platform, are they sharing customer emails or other PII? Lucas: The good ones only share aggregated, anonymized metrics — no individual customer data. But that's something brands need to verify. I think we'll see more privacy compliance language in these contracts, especially as regulations tighten. Luna: Alright, so let me play this back: the future of influencer marketing is less about follower count and more about proven audience behavior. Brands want to see that a creator's audience actually buys things — and they're willing to pay for that data. Lucas: That's the headline. And I think it's a good thing for everyone — brands get better ROI, creators get rewarded for building real communities, and listeners or viewers get more relevant recommendations. Luna: Speaking of listeners — we're talking about marketing conversations that actually affect how businesses operate. If anything you've heard on this show has sparked something you've used in your own work, that's exactly why we keep these episodes ad-free. Lucas: Yeah, we don't run ads. It's a deliberate choice. If you want to support that independence, the link is buy me a coffee dot com slash fexingo. No pressure, but it helps us keep doing this. Luna: And it's genuinely appreciated. Okay, back to the data shift — one more thing. Do you think this trend accelerates if the economy softens? When marketing budgets get cut, do brands double down on data-driven creator selection? Lucas: Almost certainly. When the pressure is on to justify every dollar, the brands that can point to a 40 percent lower acquisition cost are the ones that keep their influencer budget. So I'd expect to see more brands adopting this approach over the next twelve months, regardless of the macro environment. Luna: Interesting. So the creators who invest in data infrastructure now might have a competitive advantage when budgets tighten. Lucas: Exactly. And the ones who ignore it might find themselves being passed over for campaigns, even if they have great content. It's becoming table stakes. Luna: Sounds like the message for creators is: know your numbers, or risk being invisible to the brands that matter. Lucas: That's the takeaway. And for brands, it's: stop buying reach. Start buying behavior. Luna: I think that's a good place to leave it. Thanks, Lucas. Lucas: Thanks, Luna.