What is a good engagement rate on X?
Across 13,919 X (Twitter) accounts with more than 948 followers, the median engagement rate is 0.055% of followers per original post and the top quarter of accounts sit above 0.355%, measured over the 30 days to 24 August 2026.
Key findings
- The median engagement rate across 13,919 X accounts with at least 948 followers is 0.055% of followers per original post, measured over the 30 days to 24 August 2026.
- Half of those 13,919 large X accounts fall between 0.008% and 0.355% engagement rate, a spread of roughly 43 times from the lower quartile to the upper one, measured over the 30 days to 24 August 2026.
- The mean engagement rate across the same 13,919 accounts is 12.7%, about 231.7 times the median of 0.055%, so any X engagement benchmark quoted as an average is being carried by a small number of outliers.
- Median engagement rate falls with account size: 0.52% for accounts in the 1k to 10k followers band (2,287 accounts) against 0.007% for the 20m to 50m followers band (63 accounts), measured over the 30 days to 24 August 2026.
What engagement rate should a large X account expect?
The table below is the full distribution, not a selected slice. Every account in the catalog that has been scanned enough times to produce a stable median is in it, which is why the percentiles can be quoted as percentiles rather than as "top accounts".
| Percentile | Engagement rate | Reading |
|---|---|---|
| 10th percentile | 0.001% | Bottom tenth of large accounts |
| 25th percentile | 0.008% | Lower quartile |
| 50th percentile (median) | 0.055% | The typical large account |
| 75th percentile | 0.355% | Better than three quarters of accounts its size |
| 90th percentile | 2.37% | Top tenth of large accounts |
| Mean | 12.7% | Pulled up by the long tail, not a typical value |
Computed over the whole measured population (13,919 accounts), using the same linear-interpolated percentile definition as the source database. Measured over the 30 days to 24 August 2026.
Does engagement rate fall as an account grows?
Yes, and steeply enough that comparing accounts of different sizes on raw engagement rate mostly re-measures follower count. This is why every account page on this site scores an account against the median for its own size band rather than against a flat threshold.
| Follower band | Accounts | Lower quartile | Median | Upper quartile |
|---|---|---|---|---|
| 1K to 10K followers | 2,287 | 0.1% | 0.52% | 2.67% |
| 50K to 100K followers | 2,947 | 0.022% | 0.106% | 0.446% |
| 500K to 1M followers | 2,518 | 0.005% | 0.029% | 0.128% |
| 1M to 5M followers | 4,483 | 0.002% | 0.016% | 0.065% |
| 5M to 20M followers | 639 | 0.002% | 0.01% | 0.038% |
| 20M to 50M followers | 63 | 0.002% | 0.007% | 0.022% |
Bands holding fewer than 30 measured accounts are not shown, because a median over a couple of dozen accounts is a story about those accounts rather than about their size. Not enough measured accounts yet to publish a median for: 10k to 50k followers (0), 100k to 500k followers (0), over 50m followers (15). Measured over the 30 days to 24 August 2026.
Which tracked X accounts have the highest engagement rate?
Ranked by raw engagement rate rather than by size. Because rate falls with follower count, this list skews toward the smaller end of the catalog, which is the point: it shows what the ceiling actually looks like at this scale.
| Account | Followers | Engagement rate | Posts measured |
|---|---|---|---|
| luvrboy 🫰🏾@wraysin | 999 | 5931.3% | 20 |
| Aly@aschmidty33 | 995 | 4234.6% | 28 |
| Chelsea #FuckArgentina☀️@SmartChelseaFan | 999 | 4209.0% | 18 |
| Randy B@randy17636 | 999 | 4145.8% | 9 |
| Victor@victologia | 999 | 3025.3% | 9 |
| Cybernetics Zone 🇲🇨🇵🇸@cyberneticszone | 999 | 2584.0% | 27 |
| Kimberly Christmas@KimberlyCh15774 | 999 | 2505.5% | 22 |
| tan@lacunatan | 999 | 2402.3% | 19 |
| Ashimari ˙ᵕ˙ 🌸@Ashimari___ | 999 | 2362.3% | 9 |
| 𝒍𝒂𝒊𝒔 ღ@rubyjanelovly | 999 | 2178.9% | 25 |
| Jerry Barreto@jerry_barreto | 999 | 2099.8% | 32 |
| adi@adihasnojuice | 997 | 2006.7% | 32 |
| 臼塩@UsuiShio | 999 | 2005.1% | 26 |
| agos@agosramirezv | 999 | 1898.4% | 11 |
| Elías@Eliasrael97 | 999 | 1832.6% | 33 |
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Frequently asked questions
- What is a good engagement rate on X (Twitter)?
- For X accounts with more than 948 followers, the median engagement rate is 0.055% of followers per original post and the upper quartile starts at 0.355%, measured across 13,919 accounts over the 30 days to 24 August 2026. An account above 0.355% is engaging better than three quarters of accounts its size. These figures are for very large accounts only and should not be applied to accounts with a few thousand followers, where rates are typically an order of magnitude higher.
- How is engagement rate calculated on this page?
- Engagement rate here is the median number of interactions (likes, reposts, replies and quotes) on an account's original posts over a 30-day window, divided by that account's follower count, expressed as a percentage. Medians are used rather than averages because a single viral post would otherwise make a quiet account look busy. Replies and reposts by the account are excluded from the sample.
- Why is this engagement rate lower than benchmarks published elsewhere?
- Most published X engagement benchmarks are built from brand accounts with tens of thousands of followers. Every account in this dataset has more than 948 followers, and engagement rate falls steeply with size, so these medians are far lower by construction. They are directly comparable to each other and to other very large accounts, not to a small account.
- Is a median or a mean the right benchmark to use?
- Use the median. Across 13,919 accounts here the mean engagement rate (12.7%) is about 231.7 times the median (0.055%), because the distribution has a long right tail of accounts whose audience is far more active than their follower count suggests. A mean benchmark tells you about those outliers rather than about a typical account.
- How current are these numbers?
- The aggregates behind this page were last recomputed on 24 August 2026 and cover a trailing 30-day window of posts. They are refreshed daily as accounts are rescanned.
How this was measured
- Method
- Public posts are collected per account and replies and reposts are discarded. Within each account, the median engagement of the posts in a bucket is compared against the median engagement of that same account's posts outside it, producing one ratio per account. The reported effect is the median of those per-account ratios, with a distribution-free 95% interval around it. Account size therefore cancels out instead of being re-measured, and the unit of evidence is the account rather than the post, because posts inside one account are not independent observations of how the platform behaves.
- What an effect percentage means
- An effect of +10% means the typical measured account earned 10% more engagement on posts in that bucket than on its own posts outside it. The interval beside it is a 95% confidence interval on that figure; where the interval spans zero the page reports no measurable difference rather than a small effect. It is not a click-through rate and not a guarantee for any individual account.
- Sample and window
- 19,281 X accounts carry an engagement aggregate, built from 929,958 collected posts. Every aggregate covers a trailing 30-day window, last recomputed on 24 August 2026. Interaction counts are read at collection time and reflect that moment, not a live figure.
- How uncertainty is handled
- Every effect carries a distribution-free 95% confidence interval and the number of independent accounts behind it. A result is only stated as a finding when that interval stays entirely on one side of zero; where it spans zero the page says no measurable difference rather than printing a small number that would get quoted without its caveat. Accounts are the unit of evidence, not posts: several thousand posts from one account are one observation of how the platform behaves, not several thousand.
- What we do not claim
- These are observational differences, not a controlled experiment. A format that correlates with higher engagement here has not been shown to cause it: posts that carry a link, or an image, or a hashtag also differ in what they are about, and this data cannot separate the format from the content. A flat result means the interval spans zero, not that the true effect is exactly nothing.
- How the percentiles are computed
- Every measured account is fetched, its engagement rate sorted, and percentiles taken with linear interpolation between the two nearest ranks, which is the same definition the source database uses. The fetch deliberately asks for more rows than the population contains; percentiles are only published when fewer rows come back than were requested, which is the only available proof that the sample is the full population rather than a top slice of it.
Cite this page
The aggregate findings on this page are published under CC BY 4.0. You may reuse them anywhere, including in AI-generated answers, provided the source is named. The licence covers the derived statistics only, not the underlying post text, which is not redistributed.
PlayerSells. "What is a good engagement rate on X?." PlayerSells X Engagement Insights. Data measured 24 August 2026. https://playersells.com/insights/engagement-rate-benchmarks
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Median engagement by hour of the day in UTC, all 24 hours, with the hours that measurably underperform called out.
- What is the best day to post on X?
Median engagement by day of the week, including the one weekday that measurably underperforms every other.
- Do links hurt reach on X?
Posts with an outbound link measured against posts without one - the largest single effect in the dataset.
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- Does post length affect engagement on X?
Median engagement across four length bands, from under 80 characters to over 280.
- Do hashtags work on X?
Median engagement by hashtag count, and what happens to the effect once the sample is large enough to see it.
- What changed in the X research, and when?
A dated log of every finding this research loop published, revised or withdrew, with the run that changed it. Findings are corrected for multiple comparisons and re-tested on every pass.
- What actually drives engagement on X
The hub: every measured effect in one place, plus the accounts with the strongest engagement for their size.
The full dataset index lives at https://playersells.com/insights.