Want fast awareness and measurable reach for your campaigns - but sifting channels wastes time. Our funny black youtubers roundup bridges that gap: selected for content fit first, then audience quality, geos and fraud checks. Start a free 7-day trial to analyze more.
Black Funny Youtubers - Curated Top Picks For Campaigns
We analyzed videos, comments and audience signals to surface black youtubers funny and campaign-ready - curated for topical fit, high engagement, low fraud and easy contact exports.
Use our Discovery filters - set platform to YouTube, add bio/hashtag keywords for comedy, set audience country/language/gender, then run semantic AI search and lookalike matching. Review the one‑view profile sheets for fraud checks, ER%, min/avg/max views and audience maps to verify black comedian youtubers before exporting contacts.
We run layered checks: semantic analysis of video titles/descriptions/transcripts, audience demographics and reach patterns, rolling 30-day ER and view distributions, subscriber growth and recency, plus fraud-detection signals. Results show likely view share, engagement consistency, and flags — all surfaced in the one-view profile.
Yes. Filter to YouTube then add comedy keywords/hashtags and audience geos; use semantic AI to match video context. IQFluence shows normalized ER%, min/avg/max views, audience gender/location, fraud flags and one‑view sheets so you can compare creators side‑by‑side across platforms in one grid.
Profiles and stats refresh in seconds after you paste a handle - data reflects a rolling last-30-days window for key metrics, so recent posts and audience signals appear nearly instantly for verification and shortlisting.
Yes. After signup you can export contact fields (email, WhatsApp, phone, Skype, Kakao, WeChat, Viber) for shortlisted creators. Exports (CSV/Google Sheet/PDF/JSON) are available post-sign‑in so you can outreach and attach profile analysis to reports.
We standardize engagement and views using the rolling last-30-day window: ER% is calculated as likes+comments relative to followers with cadence context, and views are reported as min/avg/max from recent-post distributions. Metrics are normalized across platforms so ER, view bands and posting cadence can be compared fairly.