Free Tool · No Signup
TikTok Engagement
Rate Calculator
Enter your average followers, likes, comments, and shares — get your engagement rate and see how it compares. Instant, no login needed.
How it works
The calculator uses the standard TikTok engagement rate formula:
ER = (Likes + Comments + Shares) ÷ Followers × 100
Comments and shares are optional — including them gives you a more complete picture, but likes alone is a valid starting point.
To get the most accurate result, average across your last 10–20 videos rather than using a single outlier post.
Want to pull this data automatically from any public TikTok account? TikTok Data Pro API returns real profile stats with one call.
Frequently asked questions
- What is a good TikTok engagement rate?
- A rate above 3.5% is considered strong on TikTok. The platform average sits around 2.5–3%. If you're above 6%, you're in the top tier — your content is generating significant organic reach signals.
- How is engagement rate calculated?
- Engagement rate = (avg likes + comments + shares per video) ÷ followers × 100. Our calculator uses this formula. Comments and shares are optional inputs — if you only track likes, include those at minimum.
- Is this calculator free? Do I need to sign up?
- Completely free, no account needed. Enter your numbers, hit Calculate — that's it. Your data stays in your browser and is never sent anywhere.
- Where do I find my average likes and comments?
- Check TikTok Analytics (available on Creator accounts) under Content → pick your last 10–20 posts and average the engagement numbers. You can also use the TikTok Data Pro API to pull this data programmatically for any public account.
- Can I get this data automatically via API?
- Yes. The TikTok Data Pro API returns real follower counts, total likes, video counts, and recent post analytics for any public TikTok profile with one API call. Free tier includes 25 calls — no credit card required.
Want to go deeper? Learn how to pull TikTok profile data via API with code examples in cURL, JavaScript, and Python.