We’re the data-driven partner for tight timelines - fast, expert filters that narrow to ROI-ready talent. Start with our famous science youtubers configuration - vetted by audience quality, semantic relevance and geo-match, then run a free 7-day trial.
Explore Top-Rated Best Science Youtubers For Campaigns
We selected the top science youtubers through semantic analysis, audience-quality checks, engagement benchmarking and fraud detection so you can pick ROI-ready creators fast.
We standardize recent performance (L30D ER%, min/avg/max views, posts/mo), verify audience markets and brand-safe topics, run semantic AI on titles/descriptions/transcripts, flag fraud/engagement anomalies, and present side-by-side sheets so you can view audience age/gender/geo, reachability and content match for YouTube channels about science.
Want the quickest route to proven channels? Toss in a seed or keyword, narrow by audience country/language/gender, set ER and view bands, flip on fraud checks and recent-post filters — then scan our side-by-side sheets. The result: a short, validated set that surfaces the most popular science youtubers fast.
Yes. After shortlisting, export the selected YouTube channels directly into a live Google Sheet via the Media Plan Builder - apples-to-apples rows with L30D stats, audience buckets and outreach fields. Exports require sign-in and produce shareable, editable sheets for approvals.
Yes. Filter by audience country or city and combine with our semantic AI on titles/descriptions/transcripts to surface science channels whose viewers live where you need them - plus audience breakdowns (age, gender, languages) and fraud/engagement checks so you can verify market fit before outreach.
Metrics reflect a rolling last-30-days view across key stats. Profile pages and pasted profiles refresh in seconds for real-time checks; aggregates and normalized L30D metrics update continuously on that rolling 30-day window to keep comparisons fair across platforms.
We convert raw likes, comments and views into L30D averages - ER% (likes+comments relative to followers with cadence context) and min/avg/max view bands. Those normalized metrics let us compare creators across Instagram, YouTube and TikTok fairly despite follower size, posting rate and platform norms.