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Cody Simpson engagement report

@CodySimpson - 5.2M followers on X

Measured over 1 original post from a 30-day window, last computed on August 22, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 5.2M followers
Per impression
0.39%
37K views on a typical post
Reach
0.72%
of its followers see a post
Typical post
145
interactions (median)
Saved
0.011%
4 bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
22:00 UTC
Friday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 145 interactions against 5.2M followers, an engagement rate of 0.003%. Measured over 1 original post, its engagement rate beats 21% of tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 37K times each, and 0.39% of those impressions turn into an interaction. That is about 0.718% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 22:00 UTC, and Friday is the busiest day of the week. The account's strongest tracked post pulled 2.3K interactions, about 16x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on August 22, 2026.

Compared with accounts its own size

Cody Simpson's engagement rate beats 21% of the tracked X accounts closest to it in follower count. A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

Where this sits in the catalog

At 0.003%, Cody Simpson sits above the 10th percentile of the 14,332 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.008%.

p100.001%
p250.008%
p50 (median)0.055%
p750.358%
p902.37%
p99257.1%
Engagement rate as a share of followers, across the 14,332 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 257,147 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 percentile0.001%
25th percentile0.008%
50th percentile0.055%
75th percentile0.358%
90th percentile2.37%
99th percentile257.1%

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 22:00 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 94%Busiest hour: 22:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%18K
01:00 UTC+1%18K
02:00 UTC-1%18K
03:00 UTC-4%18K
04:00 UTC-7%15K
05:00 UTC-6%14K
06:00 UTC-6%16K
07:00 UTC-6%17K
08:00 UTC-6%20K
09:00 UTC-3%23K
10:00 UTC-2%25K
11:00 UTC-2%26K
12:00 UTC0%29K
13:00 UTC0%33K
14:00 UTC-2%34K
15:00 UTC-1%36K
16:00 UTC-1%35K
17:00 UTC-1%33K
18:00 UTC+1%30K
19:00 UTC+1%28K
20:00 UTC-1%26K
21:00 UTC+1%23K
22:00 UTC+1%20K
23:00 UTC0%18K
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 94%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%85K
Monday+2%88K
Tuesday+1%102K
Wednesday-3%87K
Thursday-1%82K
Friday-4%89K
Saturday+4%83K
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 video0% of posts+83%+77% to +89%7.0K
Outbound link0% of posts-48%-50% to -47%7.2K
Typical length-+3%+1% to +5%8.5K
  • 0% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 83% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 48% below the same accounts' other posts.
  • Its average post runs 26 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 3% 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

  • Oct 17, 202516x their median

    this is what the boyband mv is gonna look like huh https://t.co/Q2snkmPUwv

    2.0K2526925K viewsView on X
  • Aug 27, 20258.7x their median

    this is so pretty brown eyes coded @Cosmopolitan https://t.co/PTx6uqJQYj

    1.1K119291939K viewsView on X
  • Apr 10, 20267.0x their median

    🩵 https://t.co/eSoNwpVvvG

    852122433125K viewsView on X
  • Aug 17, 20256.4x their median

    The people have spoken. Champagne Problems @taylorswift13. Tomorrow https://t.co/ddI45923oC

    777115122427K viewsView on X
  • Aug 18, 20254.2x their median

    swifties unite 🍾 https://t.co/giwmklVgEt

    455116192540K viewsView on X
  • Aug 26, 20253.7x their median

    Gearing up. @Cosmopolitan Aus. https://t.co/6gzlx7G1SP

    487454618K viewsView on X
  • Jul 3, 20263.6x their median

    Fluent. July 10. https://t.co/oTChbLvP2B

    4217716821K viewsView on X
  • Sep 2, 20252.9x their median

    tore my heart out on this and not really sure how to feel about it https://t.co/paejCsdZf4

    3455117313K viewsView on X
  • Aug 28, 20252.8x their median

    I like to pay obvious attention to flight attendants when they’re doing the safety demonstration so they aren’t doing their routine for nobody because I sometimes feel bad everyone is always on their phones

    3493718619K viewsView on X
  • Aug 26, 20252.8x their median

    🐣 https://t.co/bmcKZkSmtT

    32448271113K 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 145 interactions against 5.2M followers, an engagement rate of 0.003%. Measured over 1 original post, its engagement rate beats 21% of tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 37K times each, and 0.39% of those impressions turn into an interaction. That is about 0.718% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 22:00 UTC, and Friday is the busiest day of the week. The account's strongest tracked post pulled 2.3K interactions, about 16x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Cody Simpson's engagement rate on X?
Cody Simpson (@CodySimpson) has an engagement rate of 0.003%, based on the median interactions across 1 original posts from the last 30 days against 5,179,244 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Cody Simpson sits above the 10th percentile of the 14,332 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 @CodySimpson have real engagement?
Its engagement rate beats 21% of the tracked X accounts closest to it in follower count, which puts it in the bottom 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 @CodySimpson post?
Most posts go out around 22:00 UTC, and Friday is its busiest day, at roughly 0.03 posts per day across the measured window.

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