We start by semantic-searching titles, descriptions and transcripts, then apply audience filters - gender, geo, language and recency. We normalize L30D ER%, min/avg/max views and cadence, run fraud-detection and reachability checks, and export a performance-ready list of old youtubers for campaign use.