Small Youtubers: Verified Creators For Targeted Growth

Before - scattered spreadsheets, blind DMs and guesswork; after - precise outreach, vetted audiences and measurable lift when you promote small youtubers. We filtered by semantic relevance, audience quality and geo, and a 7-day free trial helps analyze any creator.

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Discover Top Small Youtubers For Rapid Growth

We curated this small youtubers list by semantic relevance, engagement, fraud checks and geo filters so you can review vetted creators and launch faster.

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To see all results (with even more data), start a free trial. Or, learn how to find YouTube influencers

For more targeted results search for YouTube bloggers based on your location or niche

FAQs

How fresh is the data for these small YouTubers and how often it updates?

We refresh rolling 30-day metrics; profile stats and recent-post views update in seconds when pasted. For small YouTubers you’ll see normalized ER, min/avg/max views and recency based on the last 30 days - giving near-real-time snapshots for quick verification.

Can I export this small YouTubers shortlist into a live Google Sheet?

Yes. After signup you can export the shortlist directly into a live Google Sheet via the Media Plan Builder. Exports are share-ready and update with the L30D stats you see in-app, so your sheet holds apples-to-apples creator rows for shortlisting and approvals.

Can I compare these small YouTubers side-by-side across platforms?

Yes. IQFluence standardizes Instagram, YouTube and TikTok metrics - ER%, views and posting cadence - so you can place small YouTubers side-by-side with creators on other platforms in one grid, with rolling L30D stats refreshed in seconds for fair cross-platform comparisons.

Can I build a shortlist combining audience filters and lookalike search?

Yes. Use precision audience filters (location, gender, age, language, keywords, past partnerships) together with Lookalike Search to rank creators who match your seed handle and audience criteria, then shortlist them into the Media Plan Builder for verification and export.

How do you verify audience quality and detect influencer fraud?

We run layered checks: audience sampling for geo/language/gender, engagement consistency vs one-offs, fraud detection signals and reachability metrics, normalized ER and views over the last 30 days, semantic relevance to content, plus lookalike and growth filters to flag inauthentic or misaligned followers.

What audience and engagement data do you show for each creator?

We surface per-creator audience breakdowns (gender, age buckets, top countries/cities, languages), last-30-day ER%, min/avg/max views, posting cadence, shares/likes/comments, follower tier, reachability contacts, and fraud flags—all normalized for fair cross-platform comparison and quick verification.