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william model engagement report

@will_model_ - 833K followers on X

Measured over 40 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.01%
of 833K followers
Per impression
0.624%
13K views on a typical post
Reach
1.58%
of its followers see a post
Typical post
82
interactions (median)
Saved
0.027%
4 bookmarks on a typical post
Posting rate
1.33/day
active 23% of days
Peak time
23:00 UTC
Tuesday

A typical post picks up 82 interactions against 833K followers, an engagement rate of 0.01%. Measured over 40 original posts, its engagement rate beats 34% of 3,829 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 13K times each, and 0.624% of those impressions turn into an interaction. That is about 1.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 23:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 46K interactions, about 564x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

william model's engagement rate beats 34% of the tracked X accounts closest to it in follower count (3,829 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 38% 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 0.01%, william model sits above the 10th percentile of the 37,037 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.8%
Engagement rate as a share of followers, across the 37,037 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,893 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.8%

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 23:00 UTC, and Tuesday 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: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 23:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%73K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%102K
16:00 UTC-3%99K
17:00 UTC-2%92K
18:00 UTC-1%85K
19:00 UTC-2%80K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-2%58K
23:00 UTC-1%52K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%233K
Monday0%292K
Tuesday-3%284K
Wednesday-1%253K
Thursday-2%246K
Friday-3%255K
Saturday+3%229K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Mar 26, 2026564x their median

    I offered some money to a redhead… 🤑😈 https://t.co/taIhf5xk1N

    42K4.3K53101.2M viewsView on X
  • Aug 24, 20262.5x their median

    Who’s coming to play 👀🫣 https://t.co/74vea7k2Df

    20040013K viewsView on X
  • Aug 24, 20262.4x their median

    describe me using 1 word 😈 https://t.co/4vgD7CydDn

    19520025K viewsView on X
  • Aug 26, 20261.9x their median

    on or off? https://t.co/tVdSjyDEBP

    15331026K viewsView on X
  • Aug 26, 20261.8x their median

    Slow and passionate or fast and aggressive https://t.co/SEI4qorNzt

    14531011K viewsView on X
  • Aug 27, 20261.6x their median

    :p https://t.co/DX22o1IsjF

    12811016K viewsView on X
  • Aug 25, 20261.6x their median

    work from home 🫦 https://t.co/603BG6SdFM

    12810016K viewsView on X
  • Aug 23, 2026

    rate my build https://t.co/0llvx1sx8b

    11531015K viewsView on X
  • Aug 26, 2026

    any takers? :P https://t.co/rvgX3PO6H1

    11411012K viewsView on X
  • Aug 26, 2026

    Let's have some fun in the sun ☀️... https://t.co/JQakOptQma

    11110016K 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 82 interactions against 833K followers, an engagement rate of 0.01%. Measured over 40 original posts, its engagement rate beats 34% of 3,829 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 13K times each, and 0.624% of those impressions turn into an interaction. That is about 1.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 23:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 46K interactions, about 564x its own typical post.

What is william model's engagement rate on X?
william model (@will_model_) has an engagement rate of 0.01%, based on the median interactions across 40 original posts from the last 30 days against 832,666 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, william model sits above the 10th percentile of the 37,037 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 @will_model_ have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (3,829 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 @will_model_ post?
Most posts go out around 23:00 UTC, and Tuesday is its busiest day, at roughly 1.33 posts per day across the measured window.

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