Estimate audience quality before a collab. We compare engagement against follower count and flag the red flags that point to fake or inactive followers.
A composite audience-quality score from public engagement signals.
Quality Score
0–100 estimate
Engagement
Vs. tier average
Follow Ratio
Following vs followers
Red Flags
Specific warnings
Brands lose real money paying for collabs with creators whose followers are bots — a quick quality check protects ad budget.
Agencies screen creators for fake followers before adding them to a roster or campaign.
Creators verify their own audience health and prove it to partners who ask.
The score combines engagement-by-followers, the following/follower ratio, and view-to-like patterns — all from /user/info and /user/posts. Build your own checker on the free plan.
We compare a creator's engagement against the expected range for their follower tier (weighted 55% of the score), check the following-to-follower ratio for follow-for-follow growth patterns (25%), and look at whether views are plausible for the audience size (20%). The result is a 0–100 audience-quality score with specific red flags.
No tool can — only TikTok sees who each follower actually is. What public signals can show is whether an audience behaves like a real one: real followers watch, like, and comment at predictable rates for each account size. When those rates fall far below the norm, purchased or inactive followers are the most common explanation.
Three patterns stand out: engagement far below the norm for the follower tier (for example under 1.75% for an account with 50K followers, where 3.5–8% is typical), average views under about 2% of follower count, and following nearly as many accounts as follow back on a large account.
Always. Follower count is the easiest metric to fake and the one sponsors overpay for most. A 30-second check of engagement quality tells you whether 500K followers means 500K humans or a purchased number — before money changes hands.
All free and unlimited — see the full toolbox.