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Kai Cenat engagement report

@KaiCenat - 3.1M followers on X

Measured over 9 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Top quarter for its size
Per follower
0.343%
of 3.1M followers
Per impression
2.94%
364K views on a typical post
Reach
11.6%
of its followers see a post
Typical post
11K
interactions (median)
Saved
0.138%
503 bookmarks on a typical post
Posting rate
0.33/day
active 30% of days
Peak time
19:00 UTC
Sunday

A typical post picks up 11K interactions against 3.1M followers, an engagement rate of 0.343%. Measured over 9 original posts, its engagement rate beats 88% 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 364K times each, and 2.94% of those impressions turn into an interaction. That is about 11.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Sunday is the busiest day of the week. Of the 9 posts sampled, 89% carry an image or video. The account's strongest tracked post pulled 348K interactions, about 32x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Kai Cenat's engagement rate beats 88% 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 78% 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 0.343%, Kai Cenat sits above the 50th percentile of the 204,583 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 19:00 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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 video89% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 89% 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 48 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • Dec 27, 202532x their median

    I’m single I will never be in another relationship again

    285K27K21K14K68M viewsView on X
  • Jan 16, 202132x their median

    Never been embarrassed to wear the same fit twice, never been embarrassed to have 1 pair of shoes, never been embarrassed to sleep on the floor,Never been embarrassed to struggle. You gotta go through hard times before you live lavish. I know its on the way so i'm forever humble.

    293K43K5.7K1.9KView on X
  • Jun 8, 202625x their median

    Streamer University 2026 https://t.co/0d0p6Q7T3E

    241K19K6.4K3.5K59M viewsView on X
  • Dec 16, 202524x their median

    This took a lot for me to do…Thank you❤️ https://t.co/cxYWzjCebp

    241K12K6.0K3.2K112M viewsView on X
  • Dec 7, 202524x their median

    Damn I love you guys so much❤️ https://t.co/iSx8yv44aK

    245K11K2.8K6325.7M viewsView on X
  • Nov 2, 202515x their median

    https://t.co/RXdWPMupPD

    153K4.6K3.7K1.6K37M viewsView on X
  • Sep 28, 202515x their median

    STARTING 2025 I WAS A LITTLE LOST AND DIDN’T KNOW HOW IT WAS GONNA GO BUT FAST FORWARD AND NOW IM HERE 1,000,000 SUBS THANK YOU GOD❤️GOAL IS OFFICIALLY COMPLETE https://t.co/qHvsvX9Dm6

    131K21K7.6K2.6K12M viewsView on X
  • Jul 20, 202613x their median

    Thank you to everyone who genuinely supports Streamer University we put so much work into this and can’t wait to have Streamer University take place next year in EUROPE🇪🇺❤️

    135K6.8K1.6K4394.2M viewsView on X
  • Oct 5, 202610x their median

    https://t.co/b7FxgKGEzA

    106K4.9K1.4K3274.9M viewsView on X
  • Sep 30, 20269.4x their median

    What ? Enough is enough stream tonight

    93K3.5K3.4K1.4K12M 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 11K interactions against 3.1M followers, an engagement rate of 0.343%. Measured over 9 original posts, its engagement rate beats 88% 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 364K times each, and 2.94% of those impressions turn into an interaction. That is about 11.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Sunday is the busiest day of the week. Of the 9 posts sampled, 89% carry an image or video. The account's strongest tracked post pulled 348K interactions, about 32x its own typical post.

What is Kai Cenat's engagement rate on X?
Kai Cenat (@KaiCenat) has an engagement rate of 0.343%, based on the median interactions across 9 original posts from the last 30 days against 3,131,070 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.343%, Kai Cenat sits above the 50th percentile of the 204,583 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 @KaiCenat have real engagement?
Its engagement rate beats 88% 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 @KaiCenat post?
Most posts go out around 19:00 UTC, and Sunday is its busiest day, at roughly 0.33 posts per day across the measured window.

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