How to vet a creator in 5 minutes (without a vetting tool)
Six signals you can pull from a creator's public profile before paying for a sponsorship — and what they actually tell you about real audience reach.
A 6-month rollout of automated creator audits inside an agency that was running 200+ sponsorships a quarter. What changed, what didn't, and the numbers behind it.
Agency size: 14 people. Roughly 200 creator sponsorships per quarter across 6 brand clients. Prior workflow: human-only vetting, gut feel, fast turnaround. The problem they came to us with: too many campaigns underperforming the brief, and no clean way to predict which creators were going to convert.
The agency's research analysts spent about 25 minutes per creator manually scrolling the profile, checking recent posts, eyeballing engagement, and writing a one-paragraph recommendation. They'd surface roughly 40 creators per brand per quarter to a senior strategist who picked the final 8–10.
Two places. First: the analysts didn't have time to deep-check bot signal — they'd glance at the comments and call it. Second: the senior strategist was making final picks based on 'this one feels good for the brand' rather than a structured score. Both decisions had blind spots that compounded.
The agency didn't replace the human read. The structured score complements the analyst's qualitative take — neither one alone is sufficient. The structured score catches the kind of bot/engagement-pod signal humans miss; the human catches brand-fit nuance the scoring model doesn't capture (tone, taste, prior partnerships).
The audits didn't make our analysts faster — they made our senior strategists slower in the right ways. We started having actual conversations about why a tier-B creator might still be a yes.
Six signals you can pull from a creator's public profile before paying for a sponsorship — and what they actually tell you about real audience reach.
How to anchor a CPM number, what creators expect from each tier, and the three numbers you should be tracking instead of follower count.
The patterns that show up right before a sponsorship goes wrong — what they mean, how to spot them, and which ones are dealbreakers.