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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

Middle of its size range
Per follower
0.02%
of 170K followers
Per impression
1.24%
2.8K views on a typical post
Reach
1.64%
of its followers see a post
Typical post
34
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.83/day
active 33% of days
Peak time
18:00 UTC
Thursday

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%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,752 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,056 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video67% of posts+111%+108% to +115%34K
Outbound link17% 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.

    6.2K1.9K5636274K viewsView on X
  • 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.

    4.2K65814429181K viewsView on X
  • 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.

    2.6K78432625K viewsView on X
  • 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.

    1.9K65917527K viewsView on X
  • 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.

    1.6K4612041522K viewsView on X
  • 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.

    7222483832034K viewsView on X
  • 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"

    23642704.7K viewsView on X
  • 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

    964090410K viewsView on X
  • 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

    7026317.0K viewsView on X
  • 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

    5324423.9K viewsView on X

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

#iasen

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.

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