Instead of chasing channels, spreadsheets and guesswork, tap a systematic selection that scans content, audience health and engagement signals for you - we filtered 19 OG fitness YouTubers by semantic relevance, fraud checks, audience reachability and performance so you can launch faster and scale with certainty.
We curated og fitness youtubers by scanning content themes, hashtags and viewer signals, checking fraud, engagement, demographics and reach so you can review 19 ready-to-activate creators.
Metrics refresh continuously with a rolling 30-day view across key signals. Profile stats and the pasted profile/handle refresh in seconds, while normalized ER%, views and cadence reflect the latest last‑30‑day window so you can compare creators side‑by‑side on current performance.
Yes. After sign‑in you can export the Top‑19 creator analyses and audience reports - PDF and JSON for individual profiles, CSV for saved lists, and Google Sheets for the Media Plan. Exports require an account and are accessible from the platform once you’ve shortlisted and signed in.
We calculate ER%, views and posting cadence from each creator’s last 30 days, then standardize them into comparable bands - ER% as likes+comments per follower with cadence context, min/avg/max view ranges from recent-post distributions, and posts/month normalized so Instagram, YouTube and TikTok align for apples‑to‑apples comparison.
Yes. We show Instagram, YouTube and TikTok creators in a single comparable grid - normalized ER%, min/avg/max views, posts/month and audience buckets from the last 30 days. Paste a handle and stats refresh in seconds so you can review side‑by‑side performance and audience fit.
Yes. After you sign in, shortlist the Top-19 and send them into the Media Plan Builder — it produces a shareable Google Sheet with apples‑to‑apples creator rows, outreach fields and audience columns. Exports (CSV/Sheet/PDF) are available post‑signup for collaborative approvals and client sharing.
We run layered checks on recent activity and audience signals - patterns of sudden subscriber spikes, abnormal like/comment ratios, low view-to-subscriber rates, inconsistent posting behavior and audience geos/genders. Those anomalies flag likely bots or purchased subscribers so you can filter or avoid risky creators.