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Jay Wilkinson engagement report

@jaywilk - 103K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 103K followers
Per impression
0.348%
287 views on a typical post
Reach
0.28%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.43/day
active 43% of days
Peak time
13:00 UTC
Monday

A typical post picks up 1 interaction against 103K followers, an engagement rate of 0.001%. Measured over 13 original posts, its engagement rate beats 3% of 21,185 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 287 times each, and 0.348% of those impressions turn into an interaction. That is about 0.28% 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 13:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 92% carry an image or video and 77% link out. The account's strongest tracked post pulled 4 interactions, about 4.0x its own typical post.

Measured over 13 original posts from a 30-day window, last computed on October 15, 2026.

Compared with accounts its own size

Jay Wilkinson's engagement rate beats 3% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 17% 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%, Jay Wilkinson sits below the 10th percentile of the 212,741 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 212,741 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,375 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.8%

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video92% of posts+111%+108% to +115%34K
Outbound link77% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 92% 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.
  • 77% 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 291 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% 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 12, 20264.0x their median

    Sometimes what holds us back isn’t a lack of ability. It’s the story we tell ourselves about what we can or can’t do. Good leaders learn to recognize those assumptions in themselves and help others question the limits they may have accepted too quickly. Growth often begins when we stop treating our first reaction as the final answer. https://t.co/eV3hKo3Lot

    3100218 viewsView on X
  • Aug 14, 20264.0x their median

    Leadership isn’t just about what we accomplish. It’s also about what happens to the people around us because of how we lead. Do people leave feeling valued, respected and capable? The best leaders don’t need to make themselves smaller to lift others up. https://t.co/9tPAIBHquV https://t.co/vtGqHItF14

    2110325 viewsView on X
  • Sep 30, 20263.0x their median

    Leadership isn’t only about the moments when we shine. Sometimes it’s about the less visible work: creating clarity, managing ourselves under pressure, and building something that keeps working when we aren’t there. What survives us may say more about our leadership than what we accomplish in the spotlight. https://t.co/FMQRGXLrq0

    2100318 viewsView on X
  • Sep 9, 20263.0x their median

    Good leadership doesn’t always mean moving faster. Sometimes the better choice is to slow down, listen, ask another question, and give people room to think for themselves. Not every problem needs an immediate answer from the leader. Sometimes people need space to find their own. https://t.co/BbNXA4E9r2

    3000251 viewsView on X
  • Oct 13, 20262.0x their median

    You can tell people to collaborate. You can create the teams, schedule the meetings, and introduce the tools. But real collaboration depends on something deeper: whether people have the trust, autonomy, and opportunity to learn from one another. Culture shapes what structure alone cannot. https://t.co/5sjS5VhCm8

    2000164 viewsView on X
  • Oct 11, 20262.0x their median

    Small acts of kindness can have a lasting impact, often in ways we may never see. A little more patience, a moment of encouragement, or taking the time to help someone can make a bigger difference than we realize. https://t.co/fuja5iyaOg

    2000243 viewsView on X
  • Oct 4, 20262.0x their median

    The way we see a problem can shape the solutions we’re able to see. Sometimes a shift in perspective is enough to uncover possibilities that weren’t visible before. https://t.co/iGenz6B6xo

    2000368 viewsView on X
  • Sep 21, 20262.0x their median

    Hope in leadership isn’t about assuming everything will work out. It’s about believing there are possibilities ahead and helping people find a way forward when the path isn’t clear. Uncertainty doesn’t disappear. But hope can change how we face it. https://t.co/KGxsUE6MlD https://t.co/mDS8gSsoyt

    1010260 viewsView on X
  • Sep 8, 20262.0x their median

    Simple ideas are often the ones that travel the furthest. When an idea is clear enough to understand, remember, and explain to someone else, it has a much better chance of becoming action. Simple doesn’t mean easy. It means clear. https://t.co/Jxeih5nbhF https://t.co/kfJdGexGh6

    1010302 viewsView on X
  • Aug 27, 20262.0x their median

    Compassionate leadership doesn’t mean protecting people from every difficult consequence. We can care about people, give second chances, and still hold high standards. Sometimes the most compassionate thing we can do is support people while allowing them to take responsibility for what happens next. https://t.co/nKvzdsOuIK

    1010220 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 103K followers, an engagement rate of 0.001%. Measured over 13 original posts, its engagement rate beats 3% of 21,185 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 287 times each, and 0.348% of those impressions turn into an interaction. That is about 0.28% 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 13:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 92% carry an image or video and 77% link out. The account's strongest tracked post pulled 4 interactions, about 4.0x its own typical post.

What is Jay Wilkinson's engagement rate on X?
Jay Wilkinson (@jaywilk) has an engagement rate of 0.001%, based on the median interactions across 13 original posts from the last 30 days against 102,590 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Jay Wilkinson sits below the 10th percentile of the 212,741 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 @jaywilk have real engagement?
Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (21,185 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 @jaywilk post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 0.43 posts per day across the measured window.

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