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InCase πŸ˜Žβ€±πŸŽΆπŸ’‹ engagement report

@InCaseArt - 374K followers on X

Measured over 10 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Top 10% for its size
Per follower
3.93%
of 374K followers
Per impression
10.5%
140K views on a typical post
Reach
37.5%
of its followers see a post
Typical post
15K
interactions (median)
Saved
3.16%
4.4K bookmarks on a typical post
Posting rate
0.4/day
active 37% of days
Peak time
10:00 UTC
Monday

A typical post picks up 15K interactions against 374K followers, an engagement rate of 3.93%. Measured over 10 original posts, its engagement rate beats 100% 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 140K times each, and 10.5% of those impressions turn into an interaction. That is about 37.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 90% carry an image or video, 10% are part of a thread and 50% link out. The account's strongest tracked post pulled 31K interactions, about 2.1x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on October 3, 2026.

Compared with accounts its own size

InCase πŸ˜Žβ€±πŸŽΆπŸ’‹'s engagement rate beats 100% 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 98% 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 3.93%, InCase πŸ˜Žβ€±πŸŽΆπŸ’‹ sits above the 90th percentile of the 204,956 accounts in this comparison. That places it in the top 10% band, which runs 2.55% to 82.4%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 video90% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 90% 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.
  • 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 113 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

  • Jul 3, 20262.1x their median

    Daily # 19 Unexpected https://t.co/0Yxo0e9PDG

    28K2.0K6313278K viewsView on X
  • Jun 30, 20262.2x their median

    Daily # 16 Recruiting https://t.co/lp3QX6cM5V

    24K2.0K347283K viewsView on X
  • Aug 6, 20261.7x their median

    Old Goat pages 1 - 4 I redid the first two images into a comic page to fit the rest of the story better. https://t.co/huHYdOMGWQ

    23K1.9K9612274K viewsView on X
  • Sep 18, 20261.6x their median

    Nun and Witch part 1/8 Since I am working on this comic again, time for a re-upload! I really need a proper title for this one https://t.co/945CFqDIhg

    21K1.6K419233K viewsView on X
  • Aug 7, 20261.6x their median

    The Old Goat page 5 I don't know how long this series will be, but definitely over 10 pages. It's easy to draw and the response from you has been overwhelmingly supportive so let's keep going. For the curious: this page took about 3h 45min to do https://t.co/ixNo74kEHj

    21K1.4K13210231K viewsView on X
  • Sep 1, 20261.5x their median

    BFF's parts 1-3 I'll do more of these two in the future. I need to wrap up other projects first. https://t.co/A0ssoOHhuL

    21K1.4K310232K viewsView on X
  • Sep 7, 2026

    BFF's part 4 Beach trip https://t.co/2jS2VFO5Hm https://t.co/QzPhF4umNh

    20K1.0K211207K viewsView on X
  • Jul 4, 2026

    Daily # 20 Professor https://t.co/HnCKf0jlVu

    19K1.5K158209K viewsView on X
  • Aug 31, 2026

    https://t.co/wZNAXWRhPB

    19K985221201K viewsView on X
  • Jul 2, 2026

    Daily # 18 A mess Felt like drawing something a bit more nasty. https://t.co/N0B5TDHPSd

    18K1.4K215220K 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 15K interactions against 374K followers, an engagement rate of 3.93%. Measured over 10 original posts, its engagement rate beats 100% 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 140K times each, and 10.5% of those impressions turn into an interaction. That is about 37.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 90% carry an image or video, 10% are part of a thread and 50% link out. The account's strongest tracked post pulled 31K interactions, about 2.1x its own typical post.

What is InCase πŸ˜Žβ€±πŸŽΆπŸ’‹'s engagement rate on X?
InCase πŸ˜Žβ€±πŸŽΆπŸ’‹ (@InCaseArt) has an engagement rate of 3.93%, based on the median interactions across 10 original posts from the last 30 days against 373,749 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 3.93%, InCase πŸ˜Žβ€±πŸŽΆπŸ’‹ sits above the 90th percentile of the 204,956 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 @InCaseArt have real engagement?
Its engagement rate beats 100% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 10% 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 @InCaseArt post?
Most posts go out around 10:00 UTC, and Monday is its busiest day, at roughly 0.4 posts per day across the measured window.

Keep going