Detect bots, purchased followers, and fake engagement on any YouTube account — from live growth data, in seconds.
YouTube fraud centers on subscribers rather than engagement: sub4sub rings, purchased subscriber batches, and view-farms all inflate the numbers sponsors look at first. Because subscribers almost never unsubscribe, padding persists for years — which makes the growth history and the views-to-subscribers ratio the two places fraud cannot hide.
Every platform has its own fraud signature. These are the three patterns the checker screens for on YouTube.
Delivered in single-day spikes visible in the growth history — a 5%+ one-day jump with no viral video or external feature behind it. Organic YouTube growth follows content; purchased growth ignores it.
Reciprocal-subscribe schemes build audiences that never watch. The signature: subscriber count grows while average views stay flat, dragging the views-to-subscribers ratio toward zero.
Views persistently below ~5% of subscriber count on an active channel means the subscriber number no longer describes a real audience — whether from old purchases, sub4sub, or a pivot that lost the original viewers.
YouTube numbers are one slice of what brands vet. CreatorScore blends 7 agents — authenticity, engagement quality, content risk, sentiment, and more — into the 1–100 trust rating brands check before they sign.
Vetting creators for a brand? See how brands screen influencers at scale
Two checks catch most of it: (1) growth history — purchased subscribers arrive as single-day spikes with no viral video behind them; (2) views-to-subscribers ratio — a channel whose typical video reaches under ~5% of its subscriber count has an audience that is not real or not watching. This checker runs the growth-pattern analysis against live daily data.
Yes — YouTube’s fake-engagement policy prohibits artificially inflating subscribers, views, likes, or comments, and YouTube periodically purges fake accounts (which shows up as sudden subscriber DROPS on offending channels). Channels can lose monetization eligibility, and sponsors treat purchased subscribers as disqualifying.
Because subscribers never leave. A subscriber gained in 2020 who stopped watching in 2021 still counts in 2026 — so subscriber totals only grow, while real audience can shrink to a fraction of it. Sponsors price on expected views; a fraud check prices on whether the growth that built the number was real.
Three consequences stack: YouTube’s spam purges claw back some of the purchase (visible as sudden drops); the recommendation system reads low engagement-per-subscriber as weak content and reduces distribution; and any brand running standard vetting sees the growth spikes and the dead views-to-subscribers ratio. The purchase is permanent evidence in the growth history.