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Just Publishing Advice engagement report

@justpublishing - 151K followers on X

Measured over 40 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 151K followers
Per impression
0.372%
268 views on a typical post
Reach
0.18%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 57% of days
Peak time
07:00 UTC
Wednesday

A typical post picks up 1 interaction against 151K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 3% of 19,933 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 268 times each, and 0.372% of those impressions turn into an interaction. That is about 0.178% 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, with activity on roughly 57% of days. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 100% link out. The account's strongest tracked post pulled 5 interactions, about 5.0x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on September 24, 2026.

Compared with accounts its own size

Just Publishing Advice's engagement rate beats 3% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 8 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 20% 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 0.001%, Just Publishing Advice sits below the 10th percentile of the 200,758 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.67%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 200,758 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,898 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 percentile0.141%
75th percentile0.67%
90th percentile2.53%
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 07:00 UTC, and Wednesday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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-no effect-2% to -1%42K
  • 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 251 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Sep 21, 20265.0x their median

    https://t.co/1dRMkt7lE7 Is it true that you need to avoid starting sentences with certain words? You’ve probably read many times that you shouldn’t begin a sentence with and, but, or so. But are these rules, guidance, or simply opinions repeated so often online that they sound like rules?

    2210309 viewsView on X
  • Sep 24, 20264.0x their median

    https://t.co/eLcyhAGkRL Do you struggle when you try to describe things you can’t see or touch in your writing? It’s always easier with objects, things, and people you can see because you can use descriptive adjectives to paint a picture. But when it’s a feeling, an emotion, or an intangible abstract idea, your normal describing tools don’t work.

    3100185 viewsView on X
  • Sep 13, 20263.0x their median

    https://t.co/X5551QQG0W Does your latest draft sound like AI writing? It’s not as unlikely as you might think. Even when you write everything yourself, certain patterns like repetition, safe phrasing, or predictable structures can make your work feel a little robotic.

    2010337 viewsView on X
  • Sep 12, 20263.0x their median

    https://t.co/yTvpgOwuzp Here’s a tip for new writers: it’s easy to focus on the obvious terms and completely miss the ones that make the biggest difference. The good news? Once you grasp these overlooked terms, they quickly become habits that can almost instantly improve your writing.

    3000270 viewsView on X
  • Sep 11, 20263.0x their median

    https://t.co/LsDbQjymkY How do you know if your sentence structure is working? Can you really tell if your writing has enough variety? The problem is that it’s incredibly difficult to spot issues in your own writing. Repetitive patterns, uneven flow, and awkward sentence lengths often slip by unnoticed.

    2010208 viewsView on X
  • Sep 11, 20263.0x their median

    https://t.co/XZrZGHfiKK It’s easy to overuse verbs like was, seemed, felt, or had because they quickly summarize or move the story along. Whenever possible, replace them with more descriptive, action-based alternatives. In other words, show the reader instead of telling.

    2100273 viewsView on X
  • Sep 9, 20263.0x their median

    https://t.co/Rq0mwJHgAV Is it okay to start a sentence with an adverb? Naturally, you might be a bit wary with so much negativity around using adverbs in good writing. However, it shouldn’t deter you because using an adverb to start a sentence is perfectly normal. It’s often an ideal way to emphasize a point, introduce a contrast, or enhance an idea.

    2001337 viewsView on X
  • Sep 23, 20262.0x their median

    https://t.co/aazvoeBIK2 You’re close to publishing your new book, but did you check if your book title is unique? Whether by accident or not, using a title that is the same as one or more already published books can cause confusion. It can also make it harder to promote your book and help readers find it.

    2000257 viewsView on X
  • Sep 19, 20262.0x their median

    https://t.co/vvbq7SWw2M Your manuscript might be perfect, but common ebook file errors can turn it into a frustrating reading experience for ebook buyers. Unnoticed errors in formatting, images, or file structure can make your ebook look unprofessional or even difficult to read. They might even result in refunds or poor book reviews.

    2000267 viewsView on X
  • Sep 17, 20262.0x their median

    https://t.co/R0UPXKMthF AI assistants are tools, not people. Because they are so conversational, it’s easy to think of them as a friend or coworker. You might even imagine a personality, a voice, or a gender. It’s harmless fun at first, but it can affect the way you make decisions about your writing based on what an AI tool suggests.

    2000314 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 1 interaction against 151K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 3% of 19,933 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 268 times each, and 0.372% of those impressions turn into an interaction. That is about 0.178% 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, with activity on roughly 57% of days. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 100% link out. The account's strongest tracked post pulled 5 interactions, about 5.0x its own typical post.

What is Just Publishing Advice's engagement rate on X?
Just Publishing Advice (@justpublishing) has an engagement rate of 0.001%, based on the median interactions across 40 original posts from the last 30 days against 150,523 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Just Publishing Advice sits below the 10th percentile of the 200,758 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 @justpublishing have real engagement?
Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (19,933 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 @justpublishing post?
Most posts go out around 07:00 UTC, and Wednesday is its busiest day, at roughly 1.33 posts per day across the measured window.

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