Diabetic Youtubers — AI-Vetted Creators For Campaigns
Like a compass through fog, our AI pins the diabetic YouTube creators most likely to move your KPI needle - we surface vetted profiles, fraud-checked audiences and export-ready contacts so you launch targeted health campaigns fast.
Discover Top Youtubers With Diabetes For Campaigns
We curated diabetic youtubers by analyzing content themes, audience demographics and engagement signals - each profile is fraud-screened, reach-scored and ready for direct outreach.
Metrics reflect a rolling last-30-days window across key signals; paste a profile and its stats refresh in seconds. Engagement rates, views and posting cadence are normalized to that L30D period for fair, up-to-date cross-platform comparisons.
Yes. After signing in you can export creator contacts and curated media plans — Profile Analysis PDFs & JSON, Favorites CSVs and a live Media Plan Google Sheet. Exports are gated by signup; use them to populate outreach fields and shareables for fast campaign approvals.
We screen audiences with multi-layer checks: engagement consistency vs. spikes, subscriber growth patterns, reachability and demographic distributions, plus semantic content-audience matches. Our fraud signals and normalized ER/views flag bots, bought subscribers or outlier activity so you see genuine audience quality.
Yes — side-by-side cross-platform comparisons are available. We standardize ER%, views and posting cadence, show L30D metrics, audience gender/geo/language, reachability and fraud signals, and present creators in one grid so you can shortlist diabetic YouTube creators and compare them against Instagram/TikTok peers.
Yes — stats use a rolling 30-day window and refresh in seconds when you paste or load a profile. New posts update the L30D metrics, normalized ER, views and cadence so recent content is reflected immediately in the profile sheet and comparisons.
We convert raw likes/comments/views into standardized L30D metrics: ER% is last-30-day averages (likes+comments relative to followers) adjusted for posting cadence; views are summarized as min/avg/max from recent-post distributions. Those normalized fields let ER and view bands be compared fairly across Instagram, TikTok and YouTube.