Youtubers Like Sam And Colby - Curated Creepy Creators

Drive faster haunted-campfire growth with creators who spark suspense - but messy searches, fake reach and slow vetting stall launches. Our AI analyzes channels, audiences and fraud signals to hand you vetted Sam-and-Colby-style Youtubers with one-click reports - start a 7-day free trial.
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Discover Verified Creepy-Adventure YouTubers Fast

We hand-picked youtubers like sam and colby by analyzing channel content, audience demographics, engagement signals and fraud metrics - explore this Top-0 list to launch spooky campaigns fast.
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FAQs

How does IQFluence verify Sam-and-Colby-style YouTuber audiences?
We inspect channel topics, titles and transcripts with Semantic AI, cross-check audience geography/language/gender, flag anomalous spikes, compare L30D ER%, min/avg/max views and posting cadence, and run fraud-detection signals to ensure audience authenticity before listing a creator.
Can I export the curated Sam-and-Colby lookalikes to a media plan?
Yes. After signup you can save those Sam-and-Colby lookalikes to Favorites and export them into the Media Plan Builder as a live Google Sheet, or download CSV/Excel profile lists and analysis PDFs/JSON for campaign planning.
How recent are the audience and engagement metrics for these creators?
Metrics reflect a rolling last-30-days snapshot across key stats; paste a profile and its stats refresh in seconds so audience and engagement numbers you see are updated to the most recent 30-day window.
Can I compare Sam-and-Colby lookalikes side-by-side across platforms?
Yes. You can place lookalikes from Instagram, YouTube and TikTok side-by-side in a single grid. Metrics are normalized (ER%, views, cadence) with rolling 30-day stats, audience breakdowns, fraud flags and outreach fields—so cross-platform matching and shortlisting happen in one comparable view.
Can I build a cross-platform media plan with these Sam-and-Colby lookalikes?
Yes. Save the Sam-and-Colby lookalikes to Favorites, export them into the Media Plan Builder as a live Google Sheet, or download CSV/Excel. The sheet contains apples-to-apples rows - followers, L30D ER%, min/avg/max views, posts/mo, audience geo/gender, and outreach fields - ready for shortlisting and approvals.
How do you measure view reach and ER% across YouTube channels?
We use the rolling last-30-days window: normalized view counts (min/avg/max) from recent posts create conservative→optimistic reach bands, and ER% is last-30-day average of (likes+comments) relative to followers with posting cadence context—all refreshed in seconds and normalized for fair cross-platform comparison.