What is engagement rate?
Engagement rate (ER) is interactions divided by audience size — likes, comments, and sometimes shares relative to followers or views. There's no universal formula; the number only means something once you know which one produced it.
What the term actually covers
ER = (interactions ÷ denominator) × 100. Interactions are usually likes + comments, sometimes + shares or saves. Denominator is followers (follower-based ER) or views (view-based ER) — different questions, not interchangeable.
Social Fetch has no single ER endpoint. Profile and post lookups return raw counts; you compute the ratio client-side with the formula that fits your comparison.
A worked example
500 likes, 40 comments, 10 shares, 10,000 followers → (550 ÷ 10,000) × 100 = 5.5% follower-based ER.
Same post, 50,000 views → (550 ÷ 50,000) × 100 = 1.1% view-based ER. Quote the formula or the number is meaningless across comparisons.
How it's used in practice
Most uses are relative: trend over last N posts, vs a niche peer, vs account baseline. Keep formula and platform fixed.
From Social Fetch: profile lookup for followers, recent posts/videos for interaction counts, apply your formula and average across a window.
Engagement rate vs raw reach and impressions
ER is a ratio; reach and impressions are counts. High reach + low ER is common (wide distribution, weak response). Follower count alone doesn't show engagement quality.
Common mistakes
Comparing ER across platforms as one metric — different interaction types and norms.
Using one post's ER as the account average — average over recent posts instead.
Quoting ER without stating formula, denominator, and window.
What it is not
Not a pre-computed Social Fetch field — derived from raw metrics the API returns.
Not content quality, reach, or growth by itself — one ratio at one point in time.
FAQ
How is engagement rate calculated?
Interactions ÷ denominator × 100. Denominator is followers or views/impressions — not comparable across formulas.
What's a good engagement rate on TikTok?
No universal benchmark — depends on formula, niche, and follower size. Compare within platform and formula.
Does Social Fetch have an engagement rate endpoint?
No dedicated ER endpoint. Raw likes, comments, shares, views, and followers — compute client-side.
Why do engagement rate numbers differ between tools?
Different formulas: followers vs views, which interactions count. Both can be correct for their definition.
Is follower-based or view-based engagement rate better?
Different questions — audience fraction vs viewers who engaged. Pick one and stay consistent.
Can I compute engagement rate from the Social Fetch API?
Yes — profile + recent posts/videos, formula client-side. Ask can pull the underlying counts.
Why does engagement rate drop as follower count grows?
Larger denominator plus audience dilution and algorithmic reach — common pattern, not always a problem.
What counts as an 'engagement' — do views or saves count?
Views are usually the denominator, not numerator. Saves sometimes in numerator where exposed; likes, comments, shares most common.