Old 2K Youtubers - High-Impact Creator Picks

Chaos of manual scouting, endless DMs and flaky metrics - then a sharp switch: AI-vetted, fraud-checked Old 2K YouTubers with clear engagement signals and one-click exports, so campaigns launch faster and scale predictably.
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Discover Top Old 2K YouTubers For High-Impact Campaigns

We dug through content, audience signals and engagement patterns to surface old 2k youtubers who match your brief — AI-vetted, fraud-checked, and ranked for immediate outreach.
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FAQs

How fresh are the creator metrics and how often do they refresh?
Metrics use a rolling 30-day window for key signals - ER%, views, cadence and growth. Paste a profile and its stats refresh in seconds, with last-30-days views always available for apples-to-apples comparisons across Instagram, YouTube and TikTok.
Can I compare these YouTubers side-by-side with Instagram and TikTok?
Yes — platforms are standardized so you can compare creators in one grid. ER%, views and posting cadence are normalized across Instagram, TikTok and YouTube using the last-30-day window, letting you review side-by-side audience reach, engagement and recency for fair, apples-to-apples shortlisting.
Can I export these creator profiles and share them with my team?
Yes. After signing in you can export profile analyses and saved lists: PDF & JSON for single profiles, CSV for Favorites, Google Sheet rows from the Media Plan Builder, plus campaign CSV/Excel. Exports and shareable dashboards let teams review, approve and collaborate.
How does IQFluence detect fraudulent followers and low-quality engagement?
We run layered checks on recent activity and audience signals - looking for unnatural follower spikes, low engagement consistency, mismatched audience locations/languages, bot-like comment patterns, and abnormal growth rates. Fraud flags + semantic content checks produce a reliability score so you can shortlist clean, high-quality creators.
Can I build an apples-to-apples media plan from these creator profiles?
Yes. Use the Media Plan Builder to export apples-to-apples rows: last-30-day followers, ER%, min/avg/max views, posts/mo, avg likes/comments, audience age/gender/top countries, and outreach fields—standardized across Instagram, TikTok and YouTube so you can shortlist, share and approve in a live Google Sheet.
How do you normalize ER%, views, and cadence across platforms?
We compute all signals over a rolling 30-day window, then convert raw likes/comments/views and post frequency into platform-neutral metrics. ER% is averaged relative to followers with cadence context; views are given as min/avg/max from recent-post distributions; posts/mo is normalized so Instagram, TikTok and YouTube rows compare fairly.