Drive explosive reach with creators who spark virality - yet finding verified, high-performing food challenge YouTubers wastes days and risks fraud; our AI filters relevance, engagement and audience quality into one audit-ready Top-20 list so you can launch faster - explore the roster with a free account
Curate Viral Food Challenge Creators For Your Campaign
We cataloged food challenge youtubers by analyzing content semantics, audience authenticity, engagement patterns and reachability - use this Top-20 to quickly select verified creators, export contacts and launch campaigns in days.
Metrics reflect a rolling last-30-days view across key signals and refresh in seconds when you paste a profile or pull a report. ER%, views and posting cadence are normalized for fair cross-platform comparison.
Yes. After signing in you can export creator contacts and reports: Profile Analysis (PDF & JSON), saved lists (CSV), Media Plan Builder (live Google Sheet), campaign exports (CSV/Excel) and shareable dashboards. Exports require signup/sign-in.
Yes. Our grid standardizes Instagram, YouTube and TikTok metrics - ER%, min/avg/max views and posting cadence - so creators can be compared apples-to-apples. Profiles refresh in seconds with L30D data and audience breakdowns, letting you shortlist, export and approve cross-platform matches in one view.
We flag inauthentic audiences by combining behavior and audience signals: sudden subscriber spikes, low real-engagement vs subscriber size, abnormal view/like distributions, recycled comment patterns, and suspicious geographic/language mismatches. These patterns are scored and surfaced so you can reject risky creators quickly.
Yes. You get a live Google Sheet export with standardized creator rows - subscribers, L30D ER%, min/avg/max views, posts/mo, audience age/gender/top locations and outreach fields - ready for shortlisting, approvals and client review. Use the sheet to build plans; IQFluence doesn’t auto-forecast.
We convert platform signals into comparable KPIs by using the last-30-day window and normalization rules: ER% (likes+comments relative to followers with cadence context), min/avg/max views from recent-post distributions, and posts/month cadence—allowing fair apples-to-apples comparisons across Instagram, YouTube and TikTok.