Fitness & training Creators on TikTok: 156 Indexed

This is the pool of Fitness & training creators on TikTok within Lifestyle — 156 of them. The narrower the niche, the higher the reply rate; searching broadly for "Lifestyle creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 55,492, 8.6× the index-wide median of 6,482 — expect higher rate cards.
• 28% publish an email or IM handle against 7% index-wide — easier to reach directly than average.
• 69% have recent content captured for judgement versus 41% overall — better-evidenced than average.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• You1stlondon (@you1stlondon) — home workouts

• cam 🦸🏼 (@camfant)

• Jutta Leerdam (@juttaleerdam) — Olympics and speedskating

• JoseZuniga (@joseczuniga) — 睾酮与激素健康

• Apikejacos (@apikejacos) — couple relationship comedy and skits

• Raxass dinthie (@boykhalil1) — Entraînement physique et abdos

• coach sama (@coach.sama) — Personal life reflections and advice

• TNF (@t_nutrition_fitness) — Muscle building and fat loss strategies

• Jacob Oestreicher (@jacoboestreichercoaching) — exercise form and technique

• Lyfta - Gym Workout Tracker (@lyfta.app) — Exercise variations and muscle activation differences

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Fitness & training" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.