YouTube Jon Stewart - Verified Creator Shortlist
1 - Scan our verified shortlist for audience fit and semantic relevance; 2 - Analyze engagement, growth, fraud signals and reachability at a glance; 3 - Select and export contacts to launch campaigns fast - we save you hours so founders and CMOs can scale awareness, clicks and conversions.
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We catalog a focused YouTube jon stewart shortlist - audience-verified, fraud-screened creators with engagement signals and contact exports to launch campaigns 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 quickly do shortlist profiles refresh with the latest 30-day metrics?
Shortlist profiles pull rolling 30-day metrics and refresh in seconds after you paste or load a profile. The platform normalizes ER, views and cadence immediately so the shortlist shows current L30D averages for rapid verification and decision-making.
Can I export the shortlist and media plan after signing up?
Yes. After you sign in you can export shortlist and Media Plan Builder rows — Favorites as CSV, Profile Analyses as PDF/JSON, Media Plan as a live Google Sheet, and campaign data as CSV/Excel for sharing and client review.
How does IQFluence detect fraudulent or inauthentic audience behavior?
We flag inauthentic audiences by combining engagement patterns, audience composition, and behavior signals: sudden ER spikes vs. follower growth, skewed geography/language ratios, low reachability, repeated bot-like interactions, and anomalous view/like distributions over the last 30 days. Those indicators generate fraud scores for quick vetting.
Can I compare Instagram, TikTok and YouTube creators side-by-side?
Yes — creators across Instagram, TikTok and YouTube appear side-by-side in a single normalized grid. ER%, views, posting cadence and audience demographics are standardized so you can directly compare reach, engagement and audience fit across platforms in one view.
How do you normalize ER%, views and posting cadence across platforms?
We compute platform parity by converting each creator’s L30D metrics into comparable units: ER% is averaged relative to follower counts with cadence context; views are normalized into min/avg/max bands from recent-post distributions; cadence is standardized to posts/month. That produces fair cross-platform rows for side-by-side comparison.
Can I build a media plan with apples-to-apples creator rows?
Yes. Build a Media Plan with creator rows standardized for apples-to-apples comparison: followers, L30D ER%, min/avg/max views, posts/month, audience gender/age/geo, and outreach fields. The plan exports to a live Google Sheet for shortlisting, approvals and collaborative review after sign-in.