1 - Scan our AI-curated Top-20 roster for relevance and reach; 2 - Deep-dive into audience authenticity, engagement and fraud scores with side-by-side dashboards; 3 - Export contacts and launch campaigns fast - save hours, reduce risk, and convert attention into measurable growth for founders and CMOs.
Discover Top Old Black YouTubers For Brand Campaigns
We vetted old black youtubers for campaign-readiness - each profile scored on audience authenticity, engagement velocity, reachability and fraud signals so teams can act fast.
Metrics refresh on a rolling last-30-days basis - engagement and audience snapshots update in seconds when you paste a profile. ER%, views and posting cadence are normalized for fair cross-platform comparison so you see current L30D averages and recent-post distributions at a glance.
Yes. After signup/sign-in you can export creator contacts and reports—Favorites CSV, Profile Analysis PDF & JSON, Media Plan as a live Google Sheet, and Campaign exports (CSV/Excel). Exports unlock once you’re logged in and tied into the workflow.
We convert each creator’s L30D likes/comments/views into comparable metrics by adjusting for follower size, posting cadence and platform viewing norms. ER% is calculated as L30D (likes+comments) relative to followers with cadence context; views use recent-post distributions to produce min/avg/max bands—so Instagram, YouTube and TikTok line up fairly.
Profiles and their L30D stats refresh within seconds after you paste a handle. The system pulls rolling 30-day data - ER%, views and cadence - so you get an immediate, normalized snapshot for fair cross-platform comparison.
Yes — you can view these creators in a unified grid and compare Instagram, YouTube and TikTok metrics side-by-side. L30D ER%, min/avg/max views and posting cadence are normalized so you get apples-to-apples diagnostics, audience breakdowns and one-view profile sheets to shortlist and approve quickly.
We combine behavioral, audience and content signals to flag manipulation. IQFluence analyzes recent-post distributions, ER% vs subscriber-size, sudden growth spikes, audience geography/language mismatches, engagement velocity, and semantic context. These metrics produce fraud scores and highlight likely inauthentic pockets.