1
Columbus Library
- Followers21k
- Engagement rate0.65%0.26% — YouTube average median
- Average likes1
Youtubers From Cincinnati - Data-Backed Top Picks
Drive awareness and sales with two verified Cincinnati YouTubers chosen for audience fit and performance - but hunting profiles, vetting engagement and spotting fraud wastes days. Our AI condenses analysis - semantic relevance, audience composition, ER and fraud checks - into a ready shortlist you can try free for 7 days.
Try for free Top Cincinnati YouTubers For High-Impact Collabs
We analyzed channels, comments, tags and audience signals to surface two high-fit youtubers from cincinnati - each vetted for engagement rate, view consistency, audience geography and fraud resilience so you can pick, contact and launch faster.
Last date updated: October 9, 2025 · 21:52.
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
- 2
Row Sixty: A Georgia Football Podcast
- Followers1.7k
- Engagement rate6.62%0.32% — YouTube average median
- Average likes34
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FAQs
How recent is the audience and performance data for these Cincinnati YouTubers?
We refresh creator metrics on a rolling last-30-days window - profiles and stats update in seconds when pasted, so audience and performance reflect the most recent 30-day activity.
Can I export these Cincinnati YouTubers' contact and audience reports?
Yes. After signing in you can export contact and audience reports for the two Cincinnati YouTubers shown — PDF & JSON profile analyses, CSV favorites, and a live Google Sheet media-plan. Exports unlock post-verification data: audience demographics, fraud flags, ER and recent-performance stats.
Can I compare these Cincinnati YouTubers side-by-side across platforms?
Yes — you can place these Cincinnati YouTubers into a side-by-side grid and compare normalized ER%, min/avg/max views, posting cadence, audience gender/age/cities, and contact fields across Instagram, YouTube and TikTok. Metrics refresh on a rolling 30-day window for fair cross-platform apples-to-apples checks.
How do you verify audience reach and detect fraud for these creators?
We run multi-layer checks: semantic content matching, audience composition analysis (gender, geo, language), engagement consistency vs. posting cadence, growth and view patterns over the last 30 days, and fraud signals—then flag anomalies and show a % reach estimate so you see likely authentic reach before outreach.
How quickly do profile stats refresh after I paste a creator or handle?
Profiles and stats refresh in seconds after you paste a handle - we pull and normalize the rolling last-30-days view so the dashboard reflects up-to-the-moment 30-day activity immediately.
Can I build an apples-to-apples media plan with these two YouTubers?
Yes. Use the Media Plan Builder to export both creators as apples-to-apples rows - normalized ER%, min/avg/max views, posts/mo, audience gender/age/cities and outreach fields in a live Google Sheet so you can shortlist, compare and build your plan.
