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Kyla Scanlon engagement report

@kylascan - 206K followers on X

Measured over 11 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Middle of its size range
Per follower
0.216%
of 206K followers
Per impression
0.53%
84K views on a typical post
Reach
40.8%
of its followers see a post
Typical post
444
interactions (median)
Saved
0.059%
49 bookmarks on a typical post
Posting rate
2.9/day
active 87% of days
Peak time
13:00 UTC
Monday

A typical post picks up 444 interactions against 206K followers, an engagement rate of 0.216%. Measured over 11 original posts, its engagement rate beats 73% of 20,444 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 84K times each, and 0.53% of those impressions turn into an interaction. That is about 40.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 11 posts sampled, 55% carry an image or video, 27% are part of a thread and 18% link out. The account's strongest tracked post pulled 17K interactions, about 38x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on October 7, 2026.

Compared with accounts its own size

Kyla Scanlon's engagement rate beats 73% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 28% 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 0.216%, Kyla Scanlon sits above the 50th percentile of the 205,048 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 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 13:00 UTC, and Monday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video55% of posts+111%+108% to +115%34K
Outbound link18% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 55% 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.
  • 18% 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 138 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

  • Mar 5, 202638x their median

    Striking image from the new Anthropic labor market impact report. https://t.co/HGFmxhxWew

    13K2.2K5429087.5M viewsView on X
  • Sep 22, 20267.1x their median

    a world where everyone has a perfectly rational, tireless optimizer working on their behalf is much more adversarial than people realize. a lot of our existing infrastructure will not survive this transition.

    2.9K1636538314K viewsView on X
  • May 28, 20246.4x their median

    Thank you Union Square Barnes and Nobles and thanks everyone ❤️ so excited to share this with you! https://t.co/HzWf5Nqxt9

    2.5K11613838907K viewsView on X
  • Sep 20, 20265.9x their median

    I actually think a lot of Gen Z is just like their grandparents, the boomers. They hate everything and want the world to run how they want with no one to question them. They have way more in common than any other generation.

    2.3K13758152967K viewsView on X
  • Sep 21, 20262.3x their median

    In This Economy? in paperback!! Smaller, lighter, with a brand new afterword about tariffs and AI. 🙂 https://t.co/3ieJ01SWzI

    9136520736K viewsView on X
  • Sep 28, 2026

    Very good one sentence summary of the economy https://t.co/Y6IjxU0pK4

    512657532K viewsView on X
  • Sep 11, 2026

    Economic sentiment even among Republicans has been tumbling sharply all year https://t.co/DZ8hKaD5hE

    37276118124K viewsView on X
  • Aug 30, 2026

    Last few weeks of my doodles for the econ explainers https://t.co/Fows63Y7NG

    4171017127K viewsView on X
  • Sep 19, 2026

    Trump is searching for a new name for artificial intelligence. https://t.co/hDXCLNJDgN

    297346449154K viewsView on X
  • Sep 10, 2026

    A visitor https://t.co/mKg0XHYiZd

    291314113K 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 444 interactions against 206K followers, an engagement rate of 0.216%. Measured over 11 original posts, its engagement rate beats 73% of 20,444 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 84K times each, and 0.53% of those impressions turn into an interaction. That is about 40.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 11 posts sampled, 55% carry an image or video, 27% are part of a thread and 18% link out. The account's strongest tracked post pulled 17K interactions, about 38x its own typical post.

What is Kyla Scanlon's engagement rate on X?
Kyla Scanlon (@kylascan) has an engagement rate of 0.216%, based on the median interactions across 11 original posts from the last 30 days against 205,514 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.216%, Kyla Scanlon sits above the 50th percentile of the 205,048 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 @kylascan have real engagement?
Its engagement rate beats 73% of the tracked X accounts closest to it in follower count (20,444 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 @kylascan post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 2.9 posts per day across the measured window.

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