Tomboy Youtubers You Need For Active Brands

We run multi-layer checks: behavior-based fraud detection on recent 30-day activity, audience composition analysis (gender, geo, language), engagement consistency vs. spikes, reachability signals, view distributions (min/avg/max) and growth trends. Semantic matching and lookalike comparisons flag unlikely audiences—results shown in the one-view profile.

Metrics reflect a rolling last-30-days snapshot across key signals and refresh in seconds for pasted profiles and live queries. ER%, views and posting cadence are normalized for fair cross-platform comparison so you always see up-to-date, comparable stats when shortlisting creators.

Yes. After signing in you can export creator and campaign outputs—Profile Analysis (PDF & JSON), saved lists (CSV), Media Plan Builder as a live Google Sheet, Campaign Monitoring (CSV & Excel) and shareable dashboards. Exports unlock contact fields, performance rows and audience snapshots for your workflows.

Yes. We standardize Instagram, YouTube and TikTok metrics - ER%, views, posting cadence - so you can view creators side-by-side in one grid, compare normalized engagement, audience gender/geo/language and reachability, then export apples-to-apples rows into the Media Plan Builder for shortlisting.

We standardize ER%, views and posting cadence using the rolling last-30-day window. Likes/comments are converted to ER% relative to follower counts with cadence context; view distributions yield min/avg/max bands. Those normalized metrics let us present apples-to-apples comparisons across Instagram, YouTube and TikTok.