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John Hall engagement report

@johnhall - 188K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 188K followers
Per impression
0%
943 views on a typical post
Reach
0.5%
of its followers see a post
Typical post
0
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.43/day
active 43% of days
Peak time
15:00 UTC
Monday

A typical post picks up 0 interactions against 188K followers, an engagement rate of 0%. Measured over 13 original posts, its engagement rate beats 0% of 20,444 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 943 times each, and 0% of those impressions turn into an interaction. That is about 0.502% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 100% link out. The account's strongest tracked post pulled 3 interactions.

Measured over 13 original posts from a 30-day window, last computed on October 13, 2026.

Compared with accounts its own size

John Hall's engagement rate beats 0% 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 0% 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%, John Hall sits below the 10th percentile of the 204,880 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 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 percentile0.678%
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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 100% 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 129 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 1, 2026

    Forget AI Hype: 3 Customer Experience Moves Driving Real Growth in 2026 - https://t.co/bdysdnlhon - https://t.co/Ugz7milODf

    2010352 viewsView on X
  • Jun 17, 2026

    5 ways high-performing teams stay calm when everything’s on fire - https://t.co/CorqanvJBY - https://t.co/w7nIrfyTU5 by Karina Mangu-Ward

    1200275 viewsView on X
  • Jul 29, 2026

    How AI is inspiring companies to adopt skills-based hiring - https://t.co/AdWI7YapxX - https://t.co/CDKwn4CpBg by Erica Sweeney

    1010630 viewsView on X
  • Oct 12, 2026

    Good Things Take Time — Including Business Relationships - https://t.co/Owsog4eFJ4 - https://t.co/ucl87RRORo by Ivan Misner

    1000909 viewsView on X
  • Oct 2, 2026

    5 ways leaders can harness brain chemistry for happier and more productive teams - https://t.co/XiXep4okAN - https://t.co/9T4wAsGOCu by Scott Curran

    01001.2K viewsView on X
  • Sep 25, 2026

    10 Ways To Automate Your Small Business’ Marketing, And Which Tools To Use - https://t.co/VR7aUICqxk - https://t.co/pFAbKkL6nJ

    0010759 viewsView on X
  • Sep 23, 2026

    Research: What Interruptions Reveal About Company Culture - https://t.co/9RoeVVtHyk - https://t.co/RWy7WRqBrC by William Degbey, Benjamin Laker, Baniyelme Zoogah, Sanjay Kumar Singh and Ghulam Murtaza

    1000995 viewsView on X
  • Sep 16, 2026

    How Leaders Can Build a High-Agency Culture - https://t.co/WhQngD1q7J - https://t.co/RWy7WRqBrC by Nir Eyal

    1000943 viewsView on X
  • Aug 24, 2026

    Why Too Much Personal Branding Can Seem Inauthentic To Your Audience - https://t.co/8jwzDRiv4x - https://t.co/Vucmh7iPcq

    10001.2K viewsView on X
  • Jul 31, 2026

    AI Is Moving Faster Than Most Businesses. Here’s How Leaders Can Catch Up - https://t.co/5F5g3sKRNv - https://t.co/Ugz7milODf

    0010862 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 0 interactions against 188K followers, an engagement rate of 0%. Measured over 13 original posts, its engagement rate beats 0% of 20,444 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 943 times each, and 0% of those impressions turn into an interaction. That is about 0.502% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 100% link out. The account's strongest tracked post pulled 3 interactions.

What is John Hall's engagement rate on X?
John Hall (@johnhall) has an engagement rate of 0%, based on the median interactions across 13 original posts from the last 30 days against 188,012 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0%, John Hall sits below the 10th percentile of the 204,880 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 @johnhall have real engagement?
Its engagement rate beats 0% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 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 @johnhall post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 0.43 posts per day across the measured window.

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