Youtubers Like Bailey Sarian - Top True Crime Creators

We found the creators who mix beauty and true crime with real reach - a focused roster vetted for engagement, audience quality, fraud signals and content fit. Struggling to pick reliable partners fast? Browse this curated set and start a targeted outreach in minutes.

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We analyzed content, audience and metrics to deliver youtubers like bailey sarian — a vetted, engagement-first Top-0 roster ready for fast outreach.

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FAQs

How quickly do the profiles and metrics refresh for these creators?

Profiles and metrics refresh continuously with a rolling last-30-days view; paste a profile and stats refresh in seconds so you see up-to-the-moment ER%, views, cadence and recent posts for rapid verification.

How precise are the audience location and language filters?

Filters pinpoint audience markets using live engagement signals and location breakdowns from recent activity - top countries, cities and language shares are shown. Precision is based on rolling 30-day engagement samples and audience snapshots, not exact GPS-level IDs.

Can I export these Bailey Sarian-style creator lists for my team?

Yes. After signing in you can export shortlist and reporting outputs - Favorites as CSV, Influencer Profile Analysis as PDF/JSON, Media Plan Builder as a live Google Sheet, plus campaign CSV/Excel. Exports require signup/sign-in and are designed for team sharing and approvals.

How does IQFluence detect fraudulent engagement on these creators?

We flag fraudulent engagement by combining recent-post engagement patterns, ER% anomalies, sudden follower spikes, and audience-quality signals from the last 30 days. Semantic and behavioral checks spot bot-like activity versus organic interactions so you can shortlist creators with cleaner, verifiable engagement.

Can I compare cross-platform creators side-by-side in one grid?

Yes. We standardize Instagram, YouTube and TikTok metrics - ER%, views, cadence - and display creators in a single comparable grid. Profiles refresh with a rolling 30-day view, so you can rank and shortlist side-by-side for fair cross-platform decisions in seconds.

How do you normalize ER%, views and cadence across platforms?

We convert each platform’s raw metrics into comparable signals by using the last-30-day window and normalizing for follower size and posting cadence. ER% is averaged per-30-days (likes+comments relative to followers) with cadence context; views become min/avg/max bands from recent-post distributions; cadence is posts/mo. That yields apples-to-apples ER, view bands and cadence rows for fair cross-platform comparison.