Martin O'Malley engagement report
@MartinOMalley - 170K followers on X
Measured over 12 original posts from a 30-day window, last computed on September 20, 2026.
Engagement
A typical post picks up 34 interactions against 170K followers, an engagement rate of 0.02%. Measured over 12 original posts, its engagement rate beats 31% of 15,519 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 2.8K times each, and 1.24% of those impressions turn into an interaction. That is about 1.64% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 67% carry an image or video, 33% are part of a thread and 17% link out. The account's strongest tracked post pulled 8.8K interactions, about 258x its own typical post.
Measured over 12 original posts from a 30-day window, last computed on September 20, 2026. Recurring tag: #iasen.
Compared with accounts its own size
Martin O'Malley's engagement rate beats 31% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 8 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 49% 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 0.02%, Martin O'Malley sits above the 10th percentile of the 157,752 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 18:00 UTC, and Thursday 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 | 67% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 17% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 67% 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.
- 17% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 194 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
- May 27, 2026258x their median
At his fake cabinet meeting, Trump just repeated his lie that millions of dead 150-year olds are receiving & cashing Social Security checks. Once again, he couldn’t point to a single example BECAUSE IT DOESN’T HAPPEN. They’re trying to wreck Social Security so they can rob it.
- Jun 23, 2026149x their median
Major breakthrough when a Democratic AND Republican Senator both come out in favor of scrapping the cap on taxable income to guarantee Social Security’s long-term ability to pay 100% of benefits earned.
- Sep 1, 202699x their median
The Trump admin is illegally using Social Security data to verify addresses for mail-in ballots, despite a court order telling them to stop. Social Security is charged with maintaining accurate earnings and benefits, NOT WITH KEEPING HOME ADDRESSES.
- Jun 5, 202677x their median
There is no greater financial harm than being falsely declared dead on the Social Security master file. No one should lose access to their home, bank account, or health insurance because Donald Trump is weaponizing the Social Security system.
- Jun 10, 202666x their median
The Social Security baby boomer surplus is now forecasted to be depleted even earlier than before — in part because of Trump policies. But this is a solvable problem if the wealthy would pay the same rate as all of us into Social Security.
- Jun 16, 202640x their median
The Social Security surplus, intentionally built up since 1982, is being depleted sooner than they thought back then because of income inequality. Because no person making more than $182,000 pays another penny in Social Security.
- Jun 22, 20268.4x their median
"A federal judge has blocked the Trump administration from creating a database of millions of Americans’ private information — including Social Security numbers and citizenship status"
- Jun 17, 20266.8x their median
Social Security doesn’t add to the deficit. It’s a pay-as-you-go program, which means the dollars paid in in any given year are the dollars that go out. The surplus intentionally built up since 1982 is being depleted sooner than they thought because of income inequality. https://t.co/JqC5suWABV
- Aug 26, 20262.9x their median
There is no cap on taxable income when it comes to the Medicare tax. So why should we have one for Social Security that allows billionaires to avoid paying their fair share? https://t.co/RFEulzTgkP
- Sep 10, 20262.4x their median
There is no bigger difference between Josh Turek and Ashley Hinson than Social Security. Ashley Hinson voted to cut Social Security. She's the first member of Congress from Iowa ever to go on record on a roll call vote to cut Social Security by $452 million. #IASen
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 34 interactions against 170K followers, an engagement rate of 0.02%. Measured over 12 original posts, its engagement rate beats 31% of 15,519 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 2.8K times each, and 1.24% of those impressions turn into an interaction. That is about 1.64% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 67% carry an image or video, 33% are part of a thread and 17% link out. The account's strongest tracked post pulled 8.8K interactions, about 258x its own typical post.
- What is Martin O'Malley's engagement rate on X?
- Martin O'Malley (@MartinOMalley) has an engagement rate of 0.02%, based on the median interactions across 12 original posts from the last 30 days against 169,697 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.02%, Martin O'Malley sits above the 10th percentile of the 157,752 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 @MartinOMalley have real engagement?
- Its engagement rate beats 31% of the tracked X accounts closest to it in follower count (15,519 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 @MartinOMalley post?
- Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 0.83 posts per day across the measured window.