Stephen Hayes engagement report
@stephenfhayes - 267K followers on X
Measured over 22 original posts from a 30-day window, last computed on September 23, 2026.
Engagement
A typical post picks up 162 interactions against 267K followers, an engagement rate of 0.061%. Measured over 22 original posts, its engagement rate beats 52% of 16,684 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 57K times each, and 0.286% of those impressions turn into an interaction. That is about 21.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 22 posts sampled, 32% carry an image or video, 14% are part of a thread and 59% link out. The account's strongest tracked post pulled 17K interactions, about 103x its own typical post.
Measured over 22 original posts from a 30-day window, last computed on September 23, 2026.
Compared with accounts its own size
Stephen Hayes's engagement rate beats 52% of the tracked X accounts closest to it in follower count (16,684 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 18% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.061%, Stephen Hayes sits above the 25th percentile of the 167,119 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.13%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.13% |
| 75th percentile | 0.613% |
| 90th percentile | 2.36% |
| 99th percentile | 82.6% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 16:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 32% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 59% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 32% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 59% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 274 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Aug 30, 2026103x their median
Life is beautiful. https://t.co/MMEtN40jw5
- Sep 14, 202637x their median
A group of non-white American kids cheering on a football team in their college colors and stetsons is more American than those who look at the picture and hate what they see.
- Sep 8, 202633x their median
NEW The Wall Street Journal has just published a new story about Corey Lewandowski’s corruption while he was a special government employee at DHS. Lewandowski pitched a wealthy Gulf state to “hire me on the side,” offering help with issues under DHS jurisdiction, including visas. After Palantir negotiated a $2.7 billion DHS agreement, the contract sat unsigned while Lewandowski repeatedly sought a private one-on-one meeting with CEO Alex Karp. Karp and other Palantir officials were so uncomfortable with the circumstances that the meeting was canceled. The agreement was ultimately reduced to $1 billion. Full Story: https://t.co/o03L9FrQOE
- Sep 21, 202620x their median
How about that. https://t.co/ShovXKstjO
- Sep 16, 202619x their median
From @KarlRove, a well-crafted excoriation of the GOP's ever-growing bigot/nut wing. https://t.co/QdUQpxyeoP https://t.co/65FKF0m1vR
- Sep 22, 202612x their median
NEW: Former VP Kamala Harris says Pres. Trump's media ban of CNN/MSNOW/Politico is "abhorrent" "The man is afraid of the voice of the people... he's trying to stifle the ability of journalists to let the people of America know what's really going on in their government." https://t.co/rfL3heTcpD
- Aug 26, 20267.9x their median
Paul Ryan smacks down Scott Bessent's claim that the US "can grow our way out" of $40T in debt. “I believe in growth, but it can only go so far. You can’t fix this problem without growth, but you can’t fix this problem only with growth.” From "Next Right" and @MichaelRWarren https://t.co/HJ8FQyH1tI
- Sep 10, 20263.6x their median
What is it like to have lost a father you didn't know on 9/11? A moving reflection from Cat Brennan, who was one on that horrible day. https://t.co/AJIrtiTt2W
- Sep 15, 20262.2x their median
Sen CURTIS on $5k dividend checks Trump promised to Americans if GOP kept the majority: “Well, let me just say, if we have that kind of money, it should be going to the deficit. And if President Trump wants to give that kind of money, let him write personal checks.”
- Sep 22, 20262.1x their median
Americans are hurting from rising diesel costs driven by an unprecedented disruption to global refining capacity. We understand the administration is looking at every option to deliver relief, but restricting U.S. energy exports would only compound the problem — exacerbating refining challenges and ultimately hurting consumers. The answer is more supply and more flexibility — not new restrictions that risk making a difficult situation worse.
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 162 interactions against 267K followers, an engagement rate of 0.061%. Measured over 22 original posts, its engagement rate beats 52% of 16,684 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 57K times each, and 0.286% of those impressions turn into an interaction. That is about 21.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 22 posts sampled, 32% carry an image or video, 14% are part of a thread and 59% link out. The account's strongest tracked post pulled 17K interactions, about 103x its own typical post.
- What is Stephen Hayes's engagement rate on X?
- Stephen Hayes (@stephenfhayes) has an engagement rate of 0.061%, based on the median interactions across 22 original posts from the last 30 days against 266,980 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.061%, Stephen Hayes sits above the 25th percentile of the 167,119 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @stephenfhayes have real engagement?
- Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (16,684 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @stephenfhayes post?
- Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 4.37 posts per day across the measured window.