Vintage Youtubers - Curated Creator Picks
Drive faster awareness and sales with handpicked vintage YouTubers - painful discovery, fake followers and slow outreach stop here; our fraud-checked audience insights, engagement scores and contact exports close the gap - explore the list.
Try for free Handpicked Vintage YouTubers For Rapid Brand Growth
We analyzed content, audience, engagement and reachability to surface vintage youtubers who match your campaign goals - verified, actionable, and ready to contact.
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To see all results (with even more data), start a free trial. Or, learn how to find YouTube influencers
To see all results (with even more data), start a free trial. Or, learn how to find YouTube influencers
Ready to unlock high-ROI vintage youtubers for your next campaign?
Explore vetted vintage YouTubers with audience insights, export contacts - 7-day free trial
FAQs
How fresh are the engagement and audience metrics for these YouTubers?
Metrics update in real time with a rolling 30-day window — profile stats and audience slices refresh in seconds after you paste a handle, and engagement rates, views and posting cadence are normalized for apples-to-apples comparisons.
Can I export these vetted YouTuber contact details and reports?
Yes. After signing in you can export creator contacts and reports — Profile Analysis (PDF & JSON), Favorites (CSV), Media Plan rows (Google Sheet), and Campaign Monitoring (CSV/Excel). Exports and contact fields appear once you shortlist or open a profile.
Can I compare these vintage YouTubers side-by-side across platforms?
Yes — you can view them side-by-side. Platforms are standardized so ER%, views, cadence and audience slices align in one comparison grid. Paste handles to refresh profiles in seconds and open a one-view sheet to compare engagement, audience geo/gender, reachability and contact fields across Instagram, TikTok and YouTube.
Do engagement rates and views use the same 30-day normalization?
Yes. Both engagement rates and view counts use the same rolling 30-day normalization. ER%, min/avg/max views and posting cadence are calculated from the last 30 days so cross-platform comparisons are apples-to-apples and refresh in seconds when you paste or open a profile.
How does IQFluence detect fraud and verify audience quality?
We flag suspicious patterns using behavior and audience signals across recent posts - sudden follower surges, repeated low-quality viewers, abnormal ER distributions, and mismatch between keywords/hashtags and viewer geography. We combine engagement scoring, audience gender/geo/language slices, fraud filters and recency checks to show probable reach and trustworthiness.
Can I build an apples-to-apples media plan from these curated YouTubers?
Yes. Use the Media Plan Builder to export creator rows into a live Google Sheet - followers, L30D ER%, min/avg/max views, posts/mo, audience age/gender/top countries and outreach fields - all normalized so you get apples-to-apples creator lines ready for shortlisting and stakeholder approvals.