What is a good engagement rate on X (Twitter)?
The fair basis on X is by impressions (shown under every post). Averages hover well under 1% — above 0.5% by impressions is already strong. Include bookmarks; they are a heavyweight quality signal.
| Rating | Engagement rate | What it means |
|---|---|---|
| Low | < 0.1% | Posts are not being surfaced — work on hooks and reply strategy before posting more. |
| Average | 0.1% – 0.5% | The normal band on X's algorithmic feed. |
| Good | 0.5% – 1.5% | Above average; the algorithm will broaden your next posts' testing. |
| Excellent | > 1.5% | Strong outlier. Usually a thread or a post that got quoted widely. |
How the calculation works
| Impressions | 45,000 |
| Engagements (520 likes + 85 replies + 40 reposts + 120 bookmarks) | 765 |
| Formula | 765 ÷ 45,000 × 100 |
| Engagement rate | 1.70% — Good |
How to improve your X (Twitter) engagement rate
- Reply to larger accounts in your niche before you post — replies are X's fastest growth lever and they build the follower base your posts need.
- Threads trade reach for depth: a strong hook tweet earns the impressions that the rest of the thread monetises in engagement.
- Bookmarks are a quality signal — write reference-grade posts (frameworks, numbers, templates) that people save.
- Quote-posts spread your take into someone else's audience. Give people something worth quoting: a sharp claim or a clean chart.
- Post daily, but judge weekly. Single-post impressions on X are the noisiest of any platform.
Frequently asked questions
Is X engagement rate measured by impressions?
Yes — impressions are shown on every post and are the honest denominator on an algorithmic feed. By-follower numbers swing too much to be useful post to post.
Do hashtags still help engagement on X?
Marginal at best for reach; one or two topical tags are fine, hashtag stuffing reads as spam and does nothing for the algorithm.
What counts as engagement on X?
Likes, replies, reposts, quote-posts and bookmarks. Replies weigh most in distribution, bookmarks weigh most as a quality signal.