Trawling endless channels and spreadsheets eats weeks and still misses fake engagement - our systematic, AI-driven selection flips that. We analyzed content, audience signals and fraud metrics to surface 20 verified teen-girl YouTubers you can trust for faster reach, higher engagement and predictable results.
We selected these teen girl youtubers by analyzing content, audience quality, engagement and fraud signals - a fast, reliable shortcut to launch campaigns.
We surface stats using a rolling 30‑day window — that’s our baseline for ER, views, cadence and growth. Paste a handle and the profile refreshes in seconds, so you’re looking at fresh L30D averages, normalized so Instagram, TikTok and YouTube line up fairly.
Yes — you can. We line up Instagram, TikTok and YouTube stats in a single view so teen‑girl creators sit side‑by‑side. ER, views and posting cadence are normalized, audience gender/geo/language shown, and stats refresh on a rolling 30‑day window — fast, fair comparisons without spreadsheet guesswork.
Yes. After signup you can export profile analyses and saved lists - PDF & JSON for single profiles, CSV for Favorites, and Google Sheets via the Media Plan Builder. Exports require sign-in; live L30D stats and audience diagnostics are included in the downloaded reports.
We run multi-layer checks on recent activity and audiences - engagement spikes vs. baseline, unusual like/comment patterns, subscriber growth anomalies, and audience-market signals (gender, geo, language). Semantic checks on content + bot/fraud heuristics flag likely fake interactions so profiles marked as low-quality.
Yes. Use the Media Plan Builder to shortlist teen-girl YouTubers into a single Google Sheet - apples-to-apples rows with L30D subscribers, ER%, min/avg/max views, posts/mo and audience age/gender/geo. Export the sheet after sign-in and iterate—all profiles refresh in seconds for up-to-date comparisons.
We convert raw likes, comments and views into platform-agnostic metrics using a rolling 30-day window. ER% is computed relative to followers with posting cadence context; views are shown as min/avg/max bands from recent-post distributions. Those normalized fields let you fairly compare creators across Instagram, TikTok and YouTube.