Like finding a signal in static, our AI slices through noisy creator feeds so busy founders and CMOs can pinpoint DSMP YouTubers with clean audience metrics, fraud checks, engagement benchmarks and export-ready reports to launch campaigns faster and smarter.
Explore Top DSMP YouTubers For High-Impact Collabs
Browse our AI-curated dsmp youtubers - ranked by engagement, audience quality, geo and language fit, fraud-scores and export-ready contact packs to launch faster.
Profiles and stats refresh with rolling 30-day views; paste a profile and its stats refresh in secondsβso DSMP YouTuber data you load updates near real-time while overall metrics reflect the last 30 days for fair comparisons.
Yes. After signing in you can export YouTuber contact fields and analysis: Profile Analysis (PDF & JSON), Favorites CSV, and Media Plan rows to Google Sheets. Exports require account access; live profile/contact refreshes use the rolling 30-day stats shown in-platform.
Yes. Our grid standardizes Instagram, YouTube and TikTok metrics - ER%, views, cadence - so you can view DSMP YouTubers side-by-side with creators on other platforms. Rolling 30-day normalization ensures apples-to-apples comparisons across reach, engagement and audience geography.
We combine behavioral and audience signals: engagement patterns over 30/90 days, view distributions, subscriber growth vs. post cadence, audience geography/language consistency, percent-of-subscribers-likely-to-see, plus semantic content checks. Outliers raise fraud scores; profiles failing consistency or showing abnormal spikes are flagged for review.
Yes. After signing in you can shortlist creators in Discovery, push those rows into the Media Plan Builder and export a live Google Sheet. The sheet contains apples-to-apples L30D rows - subscribers, ER%, min/avg/max views, cadence, audience splits and outreach fields ready for approvals.
We compute platform-agnostic metrics using the last 30 days: ER% = (likes+comments)/followers averaged with posting cadence context; views normalized by post type and follower band into min/avg/max view bands; cadence expressed as posts/month. Those L30D figures are scaled and bucketed so ER, views and cadence can be compared fairly across Instagram, YouTube and TikTok.