1 - Scan our verified Top-20 picks for relevance and metrics; 2 - Analyze audience health, engagement scores and fraud signals at a glance; 3 - Deploy contact exports and campaign-ready reports to launch partnerships faster - cut discovery time, scale reach, and drive measurable growth for your brand.
We catalog a handpicked Top-20 roster of science based fitness youtubers, each vetted for topical fit, audience quality, engagement metrics and fraud signals so you can launch evidence-driven creator partnerships fast.
How fresh are the stats — and how fast does a pasted profile update?
We pull metrics over a rolling 30-day window and normalize ER, views and cadence so you can compare across Instagram, TikTok and YouTube. Paste a profile or open a sheet and the numbers refresh in seconds - live enough to spot recent posts, trends and odd spikes without waiting days.
Can we download contact lists and audience reports after signing up?
Yep — once you sign in you can pull contact and audience files for the Top-20: Profile Analysis (PDF/JSON), Favorites as CSV and a live Media Plan Google Sheet. Exports come from the live, normalized last-30-day stats shown in the roster. You’ll need an account to access them.
Can I compare Instagram, YouTube, and TikTok creators side-by-side?
Yes — we present creators from Instagram, YouTube and TikTok in one standardized grid so you can view normalized ER%, views, posting cadence, audience gender/geo/language and reachability side-by-side for apples-to-apples shortlisting.
How does IQFluence detect and flag influencer fraud?
We surface multiple signals: engagement consistency vs spikes, audience-quality checks (gender/geo/language anomalies), reachability and follower-tier patterns, growth-rate outliers, and semantic content matches. Combined fraud flags and an engagement-scoring model highlight likely inauthentic accounts for quick vetting.
Can I build a media plan with apples-to-apples creator rows?
Yes. Use the Media Plan Builder to export a Google Sheet with standardized creator rows - followers, L30D ER%, min/avg/max views, posts/mo, audience age/gender/countries, contact fields - so you can shortlist, approve and compare creators apples-to-apples for planning.
How does IQFluence normalize engagement and views across platforms?
We normalize by using rolling last-30-day windows and converting platform metrics into comparable bands - ER% (likes+comments relative to followers with cadence context), min/avg/max views from recent-post distributions, and posts/month. This creates fair apples-to-apples ER, view and cadence comparisons across Instagram, YouTube and TikTok.