Meet our hand-selected Storytime YouTubers - 1) scan AI-vetted creators and audience snapshots, 2) analyze engagement, fraud scores and reachability at the center, 3) export contacts and launch tracked campaigns - result: faster, safer creator buys that scale awareness and sales for founders and CMOs.
We curated storytime youtubers who match brand goals - dive into AI-verified creators, audience insights, ER and fraud checks, then export contacts to launch tracked campaigns.
We surface rolling 30-day metrics for key signals - ER%, views, posting cadence and growth - and profile stats refresh in seconds when you paste a handle. Data comparisons are normalized across Instagram, TikTok and YouTube for fair side-by-side checks.
Yes. After signup/sign-in you can export verified creator contacts and media plans: Profile Analysis (PDF & JSON), Favorites (CSV), Media Plan Builder as a live Google Sheet, plus Campaign exports (CSV/Excel). Exports become available once you’re signed in.
We convert raw likes, comments and view counts into standardized metrics - ER% and min/avg/max views - using the last-30-day window and posting cadence. That normalization adjusts for follower tiers and cadence so Instagram, TikTok and YouTube numbers sit on the same apples-to-apples scale for fair comparison.
Yes — build a live Google Sheet with apples-to-apples creator rows. The Media Plan Builder exports creator rows (subscribers, L30D ER%, min/avg/max views, posts/mo, audience gender/age, top countries/cities and outreach fields) so you can shortlist, collaborate and approve in a single, comparable sheet.
Yes. Live posts are auto-captured and engagement metrics - views, likes, comments, saves and ER% - update in real time across our rolling 30-day window; paste a handle and the profile stats refresh in seconds so you see current view counts and recent-post performance.
We combine behavior and audience signals: recent ER% distributions, posting cadence, growth rates and view patterns over the last 30 days, plus audience country/language/gender mixes and fraud scoring to flag inorganic spikes. That lets us quantify likely real reach and surface suspicious subscriber behavior.