How does influencer discovery differ across industries?
Quick answer
Three dials move between industries and your playbook fails because fashion sits at one end of all three. Creator density: consumer lifestyle categories hold oceans of creators, so discovery there is a filtering problem, while specialist and industrial categories hold puddles, making discovery a hunting problem where adjacent communities and expert voices substitute for a native creator class. Proof burden: fashion buyers accept taste as evidence, while regulated and technical categories demand credentials, substantiation and demonstrable expertise, which moves vetting weight from audience aesthetics to creator authority. Decision length: impulse categories reward reach and momentum because the purchase happens near the post, while long-cycle categories reward sustained trusted presence because the buyer will not act for months, shifting value from single placements toward standing voices. Read your new industry on the three dials, industrial software sits at thin density, heavy proof, long cycle and the strategy writes itself: hunt rather than filter, weight authority over aesthetics and buy presence rather than moments. The playbook was never wrong. It was calibrated to different dial positions. Hunt the thin-density corners with creator search, reweight the vetting toward authority in analytics and track presence over placements in the database once the decision cycle runs long.
I ran discovery for a fashion brand and just moved to industrial software and my old playbook is failing. How does influencer discovery differ across industries structurally?