Jason Elsom engagement report
@JasonElsom - 100K followers on X
Measured over 21 original posts from a 30-day window, last computed on August 21, 2026.
Engagement
A typical post picks up 5 interactions against 100K followers, an engagement rate of 0.005%. Measured over 21 original posts, its engagement rate beats 8% of 1,003 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 1.9K times each, and 0.269% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 18:00 UTC, and Sunday is the busiest day of the week. Of the 21 posts sampled, 100% carry an image or video and 19% are part of a thread. The account's strongest tracked post pulled 101K interactions, about 20200x its own typical post. Recurring topics include #clearthelist, #british, #driving.
Measured over 21 original posts from a 30-day window, last computed on August 21, 2026. Recurring tags: #clearthelist, #british, #driving.
Compared with accounts its own size
Jason Elsom's engagement rate beats 8% of the tracked X accounts closest to it in follower count (1,003 accounts, accounts of similar size (decile 3 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 11% 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 0.005%, Jason Elsom sits above the 10th percentile of the 11,249 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.007%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.001% |
| 25th percentile | 0.007% |
| 50th percentile | 0.05% |
| 75th percentile | 0.336% |
| 90th percentile | 2.48% |
| 99th percentile | 322.2% |
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 18:00 UTC, and Sunday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | 0% | 15K |
| 01:00 UTC | +4% | 15K |
| 02:00 UTC | -1% | 14K |
| 03:00 UTC | -2% | 15K |
| 04:00 UTC | -5% | 12K |
| 05:00 UTC | -5% | 12K |
| 06:00 UTC | -7% | 13K |
| 07:00 UTC | -6% | 14K |
| 08:00 UTC | -7% | 17K |
| 09:00 UTC | -2% | 19K |
| 10:00 UTC | -2% | 20K |
| 11:00 UTC | -2% | 22K |
| 12:00 UTC | -1% | 24K |
| 13:00 UTC | +1% | 27K |
| 14:00 UTC | -2% | 29K |
| 15:00 UTC | -1% | 30K |
| 16:00 UTC | -1% | 30K |
| 17:00 UTC | -1% | 28K |
| 18:00 UTC | +1% | 25K |
| 19:00 UTC | 0% | 24K |
| 20:00 UTC | 0% | 22K |
| 21:00 UTC | +1% | 19K |
| 22:00 UTC | +1% | 17K |
| 23:00 UTC | +1% | 15K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +8% | 59K |
| Monday | +8% | 72K |
| Tuesday | +1% | 94K |
| Wednesday | -4% | 78K |
| Thursday | -3% | 71K |
| Friday | -5% | 73K |
| Saturday | +2% | 64K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +79% | +73% to +85% | 5.8K |
| Outbound link | 5% of posts | -49% | -50% to -47% | 6.1K |
| Typical length | - | -7% | -8% to -5% | 9.0K |
- 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
- 5% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
- Its average post runs 165 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 7% 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 18, 202620200x their median
France vs. England match highlights.. https://t.co/oap5ygDuFq
- Aug 19, 20262282x their median
Outstanding marketing from Spark Car Wash… https://t.co/P7dE2fJo5S
- Aug 14, 20261214x their median
This is absolutely NOT what the #emergencyalert system is for! https://t.co/XiZ7pGlNMH
- Aug 12, 202623x their median
We grabbed an incredible spot to watch the solare eclipse! Only in England… https://t.co/r68GcXIiU6
- Jul 15, 202616x their median
A VITALLY IMPORTANT MESSAGE https://t.co/DUyk9z6cKV
- Jul 9, 20268.6x their median
Does anyone know where I can buy the same fan Queen Camilla is using? @AmazonUK @JohnLewisRetail @LidlGB @AldiUK perhaps? https://t.co/TRph2HFPjr
- May 13, 20262.2x their median
6M. That's how many times my websites were hit yesterday. >70% came from LLMs - ChatGPT, Claude, Perplexity, Gemini - reading content in real time. Not last month. Yesterday. A few months ago I checked the server logs out of curiosity. Most of the traffic wasn't human. Every LLM you've heard of was quietly consuming the content as fast as it could be published. And growing. Here's what nobody's saying out loud: The web was built for humans clicking links. The next web is being built for AI reading at scale. Every question you ask ChatGPT is answered by some piece of content that exists somewhere. The companies that own those pieces will own the answers. I've been quietly building one... WhatSchool - currently the world's largest cradle-to-grave education corpus. 138 nations. 2.4 billion data points. It's #1... The What* family is in production. More verticals. Each becoming the authoritative knowledge layer for its space. Each consumed by AI before humans even notice it exists. I'm not selling AI. I'm building the thing AI uses. If you want to watch a category get built in real time - wins, scars, and "wait, did that just work?" moments - follow along. Say What*.
- Aug 16, 20262.0x their median
Do you agree or disagree #british #driving madness https://t.co/tWSKH83nQQ
- Jul 15, 20262.0x their median
Interesting World Cup Data! https://t.co/2NUfWSbbyS
- Aug 15, 20261.6x their median
Wildfire map now live! Following this evening’s National Emergency Alert, we’ve built a live wildfire map showing major active and recently extinguished fires across the UK. It brings together satellite detections from NASA and other sources, with information on reported fire intensity, wind direction and potential proximity to populated areas. It’s still in testing and we’ll be refining it throughout the weekend — but you can explore it now: https://t.co/nsKjsqghXM #Wildfire #EmergencyAlert #UKWildfires #WildfireMap
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 5 interactions against 100K followers, an engagement rate of 0.005%. Measured over 21 original posts, its engagement rate beats 8% of 1,003 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 1.9K times each, and 0.269% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 18:00 UTC, and Sunday is the busiest day of the week. Of the 21 posts sampled, 100% carry an image or video and 19% are part of a thread. The account's strongest tracked post pulled 101K interactions, about 20200x its own typical post. Recurring topics include #clearthelist, #british, #driving.
- What is Jason Elsom's engagement rate on X?
- Jason Elsom (@JasonElsom) has an engagement rate of 0.005%, based on the median interactions across 21 original posts from the last 30 days against 99,852 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.005%, Jason Elsom sits above the 10th percentile of the 11,249 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 @JasonElsom have real engagement?
- Its engagement rate beats 8% of the tracked X accounts closest to it in follower count (1,003 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 @JasonElsom post?
- Most posts go out around 18:00 UTC, and Sunday is its busiest day, at roughly 1.13 posts per day across the measured window.