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Mark Gadala-Maria engagement report

@markgadala - 78K followers on X

Measured over 54 original posts from a 30-day window, last computed on September 9, 2026.

Engagement

Middle of its size range
Per follower
0.182%
of 78K followers
Per impression
1.01%
14K views on a typical post
Reach
18.0%
of its followers see a post
Typical post
142
interactions (median)
Saved
0.336%
47 bookmarks on a typical post
Posting rate
2.07/day
active 50% of days
Peak time
01:00 UTC
Friday

A typical post picks up 142 interactions against 78K followers, an engagement rate of 0.182%. Measured over 54 original posts, its engagement rate beats 62% 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 14K times each, and 1.01% of those impressions turn into an interaction. That is about 17.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 54 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 22K interactions, about 154x its own typical post.

Measured over 54 original posts from a 30-day window, last computed on September 9, 2026.

Compared with accounts its own size

Mark Gadala-Maria's engagement rate beats 62% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 6 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 42% 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 0.182%, Mark Gadala-Maria sits above the 50th percentile of the 156,839 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,839 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,058 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 01:00 UTC, and Friday 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% 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.
  • 0% 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 128 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 8, 2026154x their median

    ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of. - Faster image generation to keep your ideas flowing - Improved fidelity for more natural, recognizable images - Consistent details across multiple edits - Comment-based edits to change only what you want

    18K2.0K6691.4K3.4M viewsView on X
  • Sep 6, 202633x their median

    On this episode of AI Seinfeld, George is on Ozempic. https://t.co/VULDYfV7tm

    4.3K3388726794K viewsView on X
  • Sep 3, 20267.6x their median

    In this episode of AI Seinfeld, Elaine joins OnlyFans https://t.co/ek1tKqDO8z

    99646346709K viewsView on X
  • Sep 3, 20264.4x their median

    In this episode of AI Seinfeld, George & Jerry are stoners. https://t.co/hGz9RedEyg

    5584513482K viewsView on X
  • Sep 4, 20263.6x their median

    In this episode of AI Seinfeld Kramer does a photoshoot of Elaine for her OnlyFans account. https://t.co/o2E2Lx6C7k

    4712871128K viewsView on X
  • Sep 6, 20263.4x their median

    In this episode of AI Seinfeld, Elaine becomes a goth. https://t.co/CM2wgHrUXh

    4393711036K viewsView on X
  • Sep 5, 20263.4x their median

    In this episode of AI Seinfeld, George is on peptides https://t.co/Izz4ZXHVwL

    449196498K viewsView on X
  • Aug 29, 20263.0x their median

    H3 Max is the greatest slop machine we have ever seen. This was generated in 8 seconds. https://t.co/8hSR02DHyN

    3912316337K viewsView on X
  • Sep 4, 20263.0x their median

    In this episode of AI Seinfeld George goes to Chipotle. https://t.co/anToSuoq5J

    393245366K viewsView on X
  • Sep 6, 20262.9x their median

    In this episode of AI Seinfeld George and Jerry do mushrooms. https://t.co/tudYMueC7c

    372341748K 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 142 interactions against 78K followers, an engagement rate of 0.182%. Measured over 54 original posts, its engagement rate beats 62% 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 14K times each, and 1.01% of those impressions turn into an interaction. That is about 17.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 54 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 22K interactions, about 154x its own typical post.

What is Mark Gadala-Maria's engagement rate on X?
Mark Gadala-Maria (@markgadala) has an engagement rate of 0.182%, based on the median interactions across 54 original posts from the last 30 days against 78,255 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.182%, Mark Gadala-Maria sits above the 50th percentile of the 156,839 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 @markgadala have real engagement?
Its engagement rate beats 62% 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 @markgadala post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 2.07 posts per day across the measured window.

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