Tokturbo

TikTok profile analyzer.

Engagement rate, follower ratios, posting cadence, and a fake-follower grade. From live data, not a cached snapshot.

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How it works

  1. Enter the handle

    We fetch the profile and pull the last twenty posts.

  2. Compute the signals

    Likes plus comments plus shares per post, averaged, divided by follower count.

  3. Assign a grade

    A through F. Anything below C means follow with caution.

What people use this for

Brand vetting a creator

You're about to spend $25K on a campaign. The vanity follower count is 800K. The engagement rate comes back at 0.4%. That's a follower farm, not an audience.

Agency QA

You've signed a creator. Run them through this before the contract closes to confirm pitch-deck numbers match reality.

Competitor research

Track a rival creator's cadence and engagement weekly. Watch for the inflection moments.

Frequently asked

What does grade B mean?

Solid. 1.5 to 3 percent engagement on the last twenty posts. Most established, healthy creator accounts land here.

Why is grade F bad?

Below 0.3 percent engagement on accounts over one thousand followers usually means purchased followers. Real audiences engage; fake ones don't.

How recent is the data?

Live. We re-fetch the profile and posts every request, no caching.

Why are small accounts ungraded?

Accounts under one thousand followers don't get a grade. The signal is too noisy at small sample sizes.

The same engine, scaled up.

Run this same scraper across thousands of accounts, route through audited supplier networks, drip-feed inside the FYP probe window. That’s the paid product. The free tool is the engine, scoped down to one query.

See the paid services