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Charlotte Clymer 🇺🇦 engagement report

@cmclymer - 354K followers on X

Measured over 25 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Top 10% for its size
Per follower
0.584%
of 354K followers
Per impression
5.22%
40K views on a typical post
Reach
11.2%
of its followers see a post
Typical post
2.1K
interactions (median)
Saved
0.035%
14 bookmarks on a typical post
Posting rate
3.53/day
active 43% of days
Peak time
17:00 UTC
Sunday

A typical post picks up 2.1K interactions against 354K followers, an engagement rate of 0.584%. Measured over 25 original posts, its engagement rate beats 93% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 40K times each, and 5.22% of those impressions turn into an interaction. That is about 11.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 25 posts sampled, 20% carry an image or video and 12% link out. The account's strongest tracked post pulled 74K interactions, about 36x its own typical post. Recurring topics include #diamonddames, #hookem, #misen.

Measured over 25 original posts from a 30-day window, last computed on October 6, 2026. Recurring tags: #diamonddames, #hookem, #misen.

Compared with accounts its own size

Charlotte Clymer 🇺🇦's engagement rate beats 93% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 90% 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 0.584%, Charlotte Clymer 🇺🇦 sits above the 50th percentile of the 206,421 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.681%.

p100.004%
p250.025%
p50 (median)0.143%
p750.681%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 206,421 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,259 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 percentile0.004%
25th percentile0.025%
50th percentile0.143%
75th percentile0.681%
90th percentile2.56%
99th percentile82.4%

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 17:00 UTC, and Sunday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video20% of posts+111%+108% to +115%34K
Outbound link12% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 20% 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.
  • 12% 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 337 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Sep 13, 202636x their median

    I heard UT graduation this year looked like this. I didn’t believe it. The problem is now obviously far worse than anyone imagined. https://t.co/Ys1bql0y4U

    56K4.9K8.4K4.3K54M viewsView on X
  • Aug 28, 202422x their median

    We practiced with caskets that were stored outside our barracks building. To simulate the weight of honored remains, we’d toss several full sandbags into the belly of the casket and then, for hours, we’d go through our exact movements. Over and over and over. (thread)

    35K7.7K1.2K2.6K7.2M viewsView on X
  • Sep 1, 202610x their median

    For those keeping score at home, the United States is now without an Army Secretary, Army Deputy Secretary, and Senate-confirmed Army Chief of Staff -- all in the midst of an ongoing War with Iran that everyone in D.C. has quietly conceded Trump already lost.

    17K4.3K22981173K viewsView on X
  • Oct 5, 20268.2x their median

    A woman abducted & deported by ICE ICE would not allow her to take her 2 year old baby boy with her. She begged them. Said the man her baby was left with wasn’t safe. She wanted her baby to go with her. They refused. Police found the baby’s body. He had been ….you know…the worst. ICE said the mother refused to take her child. ICE blamed the mom. ICE is the gestapo. Murderers. Traffickers. Rapists. They must be stopped..

    14K3.2K8057394K viewsView on X
  • Oct 5, 20267.7x their median

    Montenegro President: “Novak Djokovic is from Montenegro.” Pope Leo XIV: “He’s Serbian.” Montenegro President: “He also is very keen of Montenegro.” Pope Leo XIV: “Okay.” …………. https://t.co/ZQBbFKEryD

    15K6131492762.8M viewsView on X
  • Sep 11, 20267.4x their median

    On the morning of 9/11, Mohammad Salman Hamdani was on his way to work when he diverted to the Twin Towers to help victims at what was clearly some kind of catastrophe given the billowing black smoke emanating from them. He was an EMT and NYPD cadet, and it is believed he used his credentials to make his way through police lines in order to render aid and save lives. During the weeks of rescue and recovery following that horrific day, his identification and his medical bag were found in the rubble of the North Tower. The remains also found in that spot would take five months to be identified as his through DNA testing. He was 23. His parents were Pakistani and Muslim immigrants and came to the U.S. when he was an infant. His mother was a middle school English teacher, and his father owned and operated a convenience store in Brooklyn. Mr. Hamdani grew up in Queens. He attended Bayside High School, where he was on the football team. He graduated from Queens College in the summer of 2001 and knew he wanted to serve the public as a first responder. He was given a police funeral with full honors the month after his remains were identified. Mayor Bloomberg and NYPD Commissioner Raymond Kelly were among the mourners and presented his parents and two younger brothers with a police shield. He’s been honored in other ways. There are scholarships in his name at Queens College and Rockefeller University. There’s a street named after him in the Bayside neighborhood of Queens. He was cited for his heroism by Congress. Mr. Hamdani was an American kid who grew up into a young man who wanted to serve his community, and he died trying to save the lives of others.

    13K2.0K8862245K viewsView on X
  • Sep 12, 20265.3x their median

    Hey, not to be a wet blanket or anything, but maybe we should all be asking ourselves why all these AI CEOs are speaking out to call for a slowdown only now after their employees went public instead of leading the conversation before now without having their hand forced.

    9.3K1.5K1042795K viewsView on X
  • Sep 8, 20264.4x their median

    I'm not gonna make it through this week. I'm not. I'm going to have a debilitating brain aneurysm watching legacy media handle Trump with kid gloves while he lies about 9/11. The blood vessels in my brain are going to pop, and that's gonna be it for me.

    8.1K6393172279K viewsView on X
  • Sep 1, 20263.7x their median

    "That woman randomly stabbed to death in Times Square was only a vice president at Bank of America. They have thousands of vice presidents. She was middle management. She wasn't, like, a CEO or top executive or anything. She didn't deser--" I'm gonna stop you right there. I think it's bad when anyone is murdered in the street, regardless of their employment. It's bad for all of us. Maybe don't run a broad daylight homicide through some weirdo 'did they deserve it' bullshit rubric. You sound completely insane when you do this.

    7.3K3806320435K viewsView on X
  • Sep 10, 20263.7x their median

    This week has been delightful in the AI discourse. AI dudes: Yeah, so, there is, like, a 10% chance this technology could kill us all in less than a decade. Public: WHAT AI dudes: Yeah, but on the plus side, we're making progress on cool things. We just solved a notoriously difficult math problem. Public: Uh... okay? AI dudes: Yeah! Although... we kinda-sorta may have stolen the work of mathematicians to do it and tried to buy off one of them with the condition he throws his colleague under the bus because that colleague works at a rival AI company. Public: Uh... AI dudes: And we actually don't know if it's necessarily a good thing in the long run for these notoriously difficult math problems to be solved before we understand the full implications. Public: Uh... AI dudes: And this is while we've been stopping what may be ongoing attempts by some rogue actors to use our technology to build biological weapons. Public: Uh... AI dudes: But we're getting really rich in the process! We, specifically, I mean. Not you. You may actually be unemployed soon.

    6.1K1.4K5966255K 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

#diamonddames#hookem#misen#montanasenate#mswmedia

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 2.1K interactions against 354K followers, an engagement rate of 0.584%. Measured over 25 original posts, its engagement rate beats 93% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 40K times each, and 5.22% of those impressions turn into an interaction. That is about 11.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 25 posts sampled, 20% carry an image or video and 12% link out. The account's strongest tracked post pulled 74K interactions, about 36x its own typical post. Recurring topics include #diamonddames, #hookem, #misen.

What is Charlotte Clymer 🇺🇦's engagement rate on X?
Charlotte Clymer 🇺🇦 (@cmclymer) has an engagement rate of 0.584%, based on the median interactions across 25 original posts from the last 30 days against 353,926 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.584%, Charlotte Clymer 🇺🇦 sits above the 50th percentile of the 206,421 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 @cmclymer have real engagement?
Its engagement rate beats 93% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 10% for its size 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 @cmclymer post?
Most posts go out around 17:00 UTC, and Sunday is its busiest day, at roughly 3.53 posts per day across the measured window.

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