Youtubers Like Contrapoints - Curated Top Picks
We prove that precision beats hope - a vetted roster of creators mirroring Contrapoints’ voice and reach so you don’t waste budget on misfires. Struggling to vet cultural commentary channels fast enough? Dive into the list, run the audience and fraud checks, and export contacts to start outreach.
Try for free Discover Verified Youtubers Matching Contrapoints Vibe
We analyzed content themes, audience demographics, engagement patterns and fraud signals to surface youtubers like contrapoints - ranked for reach, ER, growth and topical relevance so you can act fast.
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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
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FAQs
How does IQFluence verify audiences and detect fraud for these YouTubers?
We combine content-level signals (titles, descriptions, transcripts) with audience checks - gender, geo, language, engagement patterns - then flag anomalies with fraud heuristics: ER consistency over 30/90 days, growth % vs. follower tiers, view distributions, and reachability patterns. Suspicious profiles are deprioritized in results.
Can I compare these YouTubers side-by-side across platforms?
Yes. Profiles from Instagram, YouTube and TikTok are standardized into one grid - ER%, min/avg/max views, posts/mo, audience gender/age/countries - so you can run side-by-side comparisons and export a Google Sheet for shortlist and approval.
How recent are the metrics and how often do profiles refresh?
Metrics use a rolling 30-day window for key stats; profile and pasted-profile data refresh in seconds, so recent-post views, ER% and cadence reflect the last 30 days for fair, cross-platform comparisons.
Can I export a side-by-side Google Sheet of shortlisted creators?
Yes. Shortlists export as a Google Sheet with apples-to-apples rows - followers, L30D ER%, min/avg/max views, posts/mo, audience age/gender/countries and outreach fields. Exports require sign-in; the Sheet is live so you can share and iterate with stakeholders.
How do you normalize engagement and views for fair cross-platform comparisons?
We convert raw likes, comments and views into standardized L30D metrics - ER% (likes+comments relative to followers with cadence context) and min/avg/max views derived from recent-post distributions. Those normalized fields let you compare creators across Instagram, YouTube and TikTok on a like-for-like basis.
Can I build my own forecasts from the provided historical stats?
Yes. IQFluence supplies conservative→optimistic bands (min/avg/max views), L30D ER% and cadence stats so you can plug those historical inputs into your own models or Google Sheet — we don’t auto-forecast, but we give the apples-to-apples data you need to build bespoke forecasts.
