Youtubers Like Mr Ballen - Curated True-Crime Creators
Like a sonar ping slicing the static, we cut through endless creator noise to pinpoint true-crime YouTubers mirroring Mr Ballen’s reach and vibe - our AI surfaces verified matches, audience maps, fraud signals and a one-click report so you launch high-impact growth campaigns fast.
How does IQFluence verify audience quality and detect fraud for creators?
We cross-check creator signals and audience behavior across recent 30-day activity - ER%, post cadence, min/avg/max views, follower growth and geography. Semantic matching flags suspicious patterns; fraud detection spots inorganic spikes, bot-like engagement and audience implausibility. Results feed into an at-a-glance fraud score and audience breakdown for rapid vetting.
Can I export a side-by-side Google Sheet of shortlisted creators?
Yes. Export a side-by-side Google Sheet of shortlisted creators directly from the Media Plan Builder. It produces apples-to-apples rows with L30D followers, ER%, min/avg/max views, cadence, audience demographics and outreach fields—ready to share, shortlist, and approve. Sign-in required for exports.
Can IQFluence compare Instagram, TikTok and YouTube creators side-by-side?
Yes. We normalize metrics across Instagram, TikTok and YouTube - ER%, views and posting cadence - so creators sit in one comparable grid. Side-by-side profile sheets show L30D followers, ER, min/avg/max views, audience age/gender/location and outreach fields for fast shortlisting.
How recent is the data and how often do creator stats refresh?
We pull rolling last-30-day metrics for key signals and refresh a pasted profile’s stats in seconds — all L30D figures (ER%, views, cadence, growth, recency) are normalized so you can compare creators across platforms fairly.
Can I build my own forecasts using IQFluence historical stats?
Yes. Use the L30D historical bands (min/avg/max views, ER%, cadence, growth%) exported from profiles to build your own projections in the Media Plan Builder Google Sheet—IQFluence provides conservative→optimistic inputs, but does not auto-generate forecasts.
How does the Lookalike search find creators similar to a seed handle?
We rank creators by audience and content similarity to a seed handle using lookalike modeling: semantic analysis of titles/descriptions/transcripts, audience overlap and demographics, engagement and growth patterns, and behavior signals. Results prioritize matched themes, reach, and verified audience quality.