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Free tool · TikTok
Enter five numbers from your last few videos. See your engagement rate, where you sit vs your bracket's FYP benchmark, and the next move calibrated to your verdict.
Computed against views, not followers — TikTok's the FYP-driven outlier.
Your engagement rate
8.6%
687 engagements ÷ 8,000 views
Mid-bracket. Bigger surfaces with the right initial-velocity push.
Recommended next move
Mid-bracket engagement on TikTok usually means the FYP isn't sure whether to push your videos to a wider audience. A views boost gives the algorithm enough sample size to decide — and since your engagement is at the bracket median, it'll typically decide in your favour.
Start with viewsRecommendations are calibrated to your bracket. Take an average of your last 9–12 public videos for the most stable inputs.
Instagram engagement rate is computed against followers because Instagram's distribution is follower-driven — your audience sees your posts because they already follow you. TikTok flips that: the For You Page distributes content to non-followers based on early-engagement signals, so most of your video's views come from outside your follower base. Computing engagement against followers when 80%+ of viewers aren't followers gives nonsense results.
The right denominator is views. The formula is (likes + comments + shares) / views × 100. Shares matter on TikTok specifically because they're the strongest FYP-amplification signal — the algorithm treats a share as approximately 4× the weight of a like for distribution decisions.
Bracket benchmarks compress less aggressively than Instagram's. A nano account on TikTok can reach 15-22% engagement comfortably; the same account on Instagram tops out around 8-12%. The compression as size grows is real but smaller — mega accounts (1M+) still hover around 4.5% on TikTok where Instagram mega accounts run under 1%. Both effects come from the FYP: it keeps the denominator (views) proportionally lower for niche content even at scale.
Nothing about this calculator scrapes TikTok. The math runs in your browser, you supply the numbers from your own analytics dashboard or by averaging your last 9-12 public videos manually. Inputs never leave the device.
(likes + comments + shares) / views × 100. Computed against views, not followers, because the FYP distributes to non-followers — follower-based ER is misleading on TikTok.
Nano (under 1K): 15% average, 22% top quartile. Micro (1K–10K): 12% / 18%. Mid (10K–100K): 9% / 14%. Macro (100K–1M): 6.5% / 10%. Mega (1M+): 4.5% / 7.5%. TikTok engagement runs 4–7× higher than Instagram at every bracket.
Almost always an FYP-distribution problem, not a content problem. The algorithm uses first-hour engagement velocity to decide whether to push wider; below-benchmark accounts usually have content the FYP hasn't sampled enough to score. A coordinated initial-velocity push provides the signal it needs.
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