Select a focused shortlist of vetted exercise YouTubers → analyze audience quality, engagement and fraud signals in seconds → launch ROI-first partnerships with exportable contacts and tracking. We place the metrics-heavy step at the center so founders and CMOs can move from discovery to measurable scaling fast.
Discover Top YouTube Exercise Channels for Campaigns
We curated this Top-20 lineup of exercise youtubers - vetted by semantic fit, audience quality, engagement and fraud checks for fast, measurable campaigns.
Metrics refresh on a rolling last-30-days basis - profile stats and recent-post distributions update in seconds when pasted. Engagement rates, min/avg/max views and posting cadence are normalized for fair cross-platform comparison.
Yes. After you sign in, exports are unlocked: Profile Analysis (PDF & JSON), saved lists (CSV), Media Plan Builder as a live Google Sheet, and campaign exports (CSV/Excel). API endpoints for profile/audience and performance data are also available.
We convert likes/comments and views into comparable metrics by using last-30-day averages and posting cadence context. ER% is computed as (likes+comments)/followers over L30D; views are reported as min/avg/max from recent-post distributions. These normalized figures let you compare creators fairly across Instagram, YouTube and TikTok.
Yes. You can create a live, apples-to-apples media plan in one Google Sheet: each creator row shows L30D subscribers, ER%, min/avg/max views, posts/mo, avg likes/comments, audience gender/age/countries and outreach fields—exportable and ready for shortlisting, approvals and campaign handoffs.
Yes. Audience demographics refresh with rolling last-30-days data - when creators publish new posts the profile-level audience snapshots and engagement metrics update in seconds, reflecting recent shifts in age, gender, countries and viewing behavior for fast verification.
We run multi-signal checks on recent activity and subscribers - last-30-day posting patterns, sudden subscriber spikes or drops, engagement consistency vs outliers, audience geography/language mismatches, and unusual view-to-subscriber ratios. Flags combine into a fraud/quality score so you see risky audiences at a glance.