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Jane Coaston ๐Ÿ”๏ธ engagement report

@janecoaston - 133K followers on X

Measured over 8 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Top quarter for its size
Per follower
0.385%
of 133K followers
Per impression
0.677%
76K views on a typical post
Reach
56.9%
of its followers see a post
Typical post
511
interactions (median)
Saved
0.107%
80 bookmarks on a typical post
Posting rate
2.7/day
active 23% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 511 interactions against 133K followers, an engagement rate of 0.385%. Measured over 8 original posts, its engagement rate beats 78% 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 76K times each, and 0.677% of those impressions turn into an interaction. That is about 56.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 75% carry an image or video, 13% are part of a thread and 13% link out. The account's strongest tracked post pulled 24K interactions, about 47x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on September 30, 2026.

Compared with accounts its own size

Jane Coaston ๐Ÿ”๏ธ's engagement rate beats 78% of the tracked X accounts closest to it in follower count (20,444 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 32% 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 0.385%, Jane Coaston ๐Ÿ”๏ธ sits above the 50th percentile of the 205,475 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
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 16:00 UTC, and Wednesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video75% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 75% 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.
  • 13% 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 262 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

  • Sep 30, 202647x their median

    CAITLIN CLARK REALLY SAID "FUCK YOU THINK THIS WAS" TO CANDACE PARKER๐Ÿ˜‚๐Ÿ˜ˆ https://t.co/ARzufKuHHf

    22K1.5K1844442.1M viewsView on X
  • Sep 24, 20269.3x their median

    Itโ€™s worth a careful listen to the NPR interview with Tucker Carlson. He does not say Trump simply made a bad choice on Iran or ignored the risks. Carlson asserts that Trump was *not in control.* โ€œI donโ€™t think he had the latitude to make this decision on his own.โ€ 1/2

    4.3K34112820687K viewsView on X
  • Feb 3, 20266.8x their median

    Classic example of Goldilocks racism. Black Americans are dumb and obviously inferior, but Asian Americans are superior in a way she doesn't like (they try too hard!) There's one group, though, that's juuuuuust right. https://t.co/eL1vTcYQPx

    3.0K31110743455K viewsView on X
  • Sep 23, 20263.5x their median

    This tweet can be summed up in a sentence: Now that East Asian and Indian kids are doing better than white kids in school and the job market, we need to rethink meritocracy. It's the same logic that led colleges to put quotas in place to limit the number of Jewish students. https://t.co/tWvhJOya8H

    1.4K2071632369K viewsView on X
  • Sep 28, 2026

    the results of the financial necessities of right-wing media remain extremely funny. https://t.co/slfKu4hNcC

    5823313142K viewsView on X
  • Sep 28, 2026

    Former top Cuomo aide Melissa DeRosa, who has been appearing on Fox News a lot recently as a Zohran Mamdani/Dem socialism critic, is now a Fox contributor https://t.co/HI36XwjBQ9

    27170213182K viewsView on X
  • Sep 27, 2026

    Lomez: "successful assimilation is precisely that you wouldn't notice it... The mere fact [that we're] able to notice, this is not an assimilated group, this is just a bunch of Indians at the football game [demonstrates] the case that they're not yet assimilated." Rufo is trying to find a 5d chess explanation for why his online constituency calls Vivek Ramaswamy a "turd worlder," that doesn't involve calling them racists. Lomez is more honest, at least. His theory for why his constituency is in the right for getting mad at Indian-Americans enjoying themselves at a football game is, "the fact that we're mad at you proves you haven't assimilated."

    259253539143K viewsView on X
  • Sep 29, 2026

    I am extremely pleased to report that the giant ETERNAL live Joy Division boxed set is completely worth it. Several new unheard shows, and the majority of the shows I already had have been *massively* upgraded in sound quality. Including Les Bains Douche and Preston Warehouse was lame, because anyone buying this already bought those. Aside from that? I'm really impressed.

    322229.5K viewsView on X
  • Jun 25, 2026

    The story you didn't know you needed today. https://t.co/npFreJEO4y https://t.co/lhlZ1kL83T

    17244107K viewsView on X
  • Sep 30, 2026

    On the left: this website, yesterday. On the right: me, in 2022. https://t.co/7DijE1W8SK https://t.co/et6bodu2I4

    161004.0K 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.

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Reading these numbers

A typical post picks up 511 interactions against 133K followers, an engagement rate of 0.385%. Measured over 8 original posts, its engagement rate beats 78% 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 76K times each, and 0.677% of those impressions turn into an interaction. That is about 56.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 75% carry an image or video, 13% are part of a thread and 13% link out. The account's strongest tracked post pulled 24K interactions, about 47x its own typical post.

What is Jane Coaston ๐Ÿ”๏ธ's engagement rate on X?
Jane Coaston ๐Ÿ”๏ธ (@janecoaston) has an engagement rate of 0.385%, based on the median interactions across 8 original posts from the last 30 days against 133,092 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.385%, Jane Coaston ๐Ÿ”๏ธ sits above the 50th percentile of the 205,475 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 @janecoaston have real engagement?
Its engagement rate beats 78% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter 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 @janecoaston post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 2.7 posts per day across the measured window.

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