UX Magazine engagement report
@uxmag - 242K followers on X
Measured over 3 original posts from a 30-day window, last computed on September 10, 2026.
Engagement
Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 3 interactions against 242K followers, an engagement rate of 0.001%. Posts are seen about 3.1K times each, and 0.097% of those impressions turn into an interaction. That is about 1.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 7 interactions, about 2.3x its own typical post. Recurring topics include #ai, #enterpriseai, #aiadoption. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 3 original posts from a 30-day window, last computed on September 10, 2026. Recurring tags: #ai, #enterpriseai, #aiadoption.
Where this sits in the catalog
At 0.001%, UX Magazine sits below the 10th percentile of the 66,258 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.6% |
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 14:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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 | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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 281 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
- Jul 20, 20262.3x their median
#AI doesnโt understand users. It just recognizes patterns in language. Ignoring this distinction is a design flaw, and it has real consequences. Tushar Deshmukh continues revealing the traps AI creates for designers and showing how to avoid them: https://t.co/qnoXNQHfWV https://t.co/9qSqshKYrT
- Aug 11, 20261.7x their median
#AI doesn't fail because the model isn't smart enough. It fails because enterprises try to build features before structure. Evan J. Schwartz explains why successful #AIAdoption starts with outcomes, actors, and boundaries, not prompts. ๐๏ธ https://t.co/VBryeJ0QyB #EnterpriseAI https://t.co/3vzlejCJpl
- Aug 10, 20261.7x their median
AI can explain concepts, answer questions, and personalize lessons. But can it truly make a student feel acknowledged, supported, and inspired? ๐ Read more: https://t.co/FhzxWwbEfZ #AI #Education #EdTech https://t.co/G2B1gYywc7
- Jul 14, 20261.7x their median
"#VibeCoding" is a useful term for a specific behavior, but it was never a description of design leadership. Jim Gulsen, an accomplished UX/UI designer, breaks down a more intentional approach to #AI-assisted design. ๐ Read the full piece: https://t.co/P30aowJg2S #UXDesign https://t.co/pdEBz2HbHC
- May 15, 20261.7x their median
The hardest design skill in agile? Thinking smaller. Pรคivi Salminen discusses how designing small is one of the hardest skills to learn in agile environments. ๐ Read the full piece: https://t.co/ENJxaKhkbn #Agile #ProductDesign #UserResearch #UXDesign https://t.co/Dy93XSU048
- Jun 10, 2026
Bad gamification is just homework with points ๐ฎ Montgomery Singman explains why younger users spot bad gamification instantly and what it really takes to get their attention. ๐ Read the full piece: https://t.co/JJ1Sn8b0kW #GameDesign #ProductDesign #UXDesign https://t.co/bOdmFg4ZL4
- Jun 2, 2026
How do we build #AI systems that earn genuine human trust? After six months of moving past viral prompts and #vibecoding, that central question remains. ๐ค Anina Botha explores the complexities of human-AI interaction. ๐ Explore the full insights: https://t.co/FbvdMt7ST6 https://t.co/sseloAqKR3
- May 19, 2026
Your AI system looks good: dashboards are green, alerts are quiet, and it is still failing. Kwansah Madani outlines why silent failure is the signature challenge of AI systems. ๐ Read the full piece: https://t.co/eTRD2UOOtw #AI #MachineLearning #SoftwareDevelopment https://t.co/m5NYowPlm1
- Aug 13, 2026
You can build AI agents in a day. Governing them? That lasts for as long as they're in production. A practical read for anyone building or managing AI agents: https://t.co/FnHJyMYQpD #AI #EnterpriseAI #AgenticAI #AIGovernance https://t.co/YkMwsVrIha
- Aug 4, 2026
The FIFA World Cup 2026 marks the largest tournament in football history, but the most profound evolution isn't taking place on the pitch. Nayyer Abbas, a seasoned UX expert, examines how #AI and #UX are together redefining the game: https://t.co/iIMKoJu8DE #FIFAWorldCup2026 https://t.co/sN5eJBQg4X
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 3 interactions against 242K followers, an engagement rate of 0.001%. Posts are seen about 3.1K times each, and 0.097% of those impressions turn into an interaction. That is about 1.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 7 interactions, about 2.3x its own typical post. Recurring topics include #ai, #enterpriseai, #aiadoption. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is UX Magazine's engagement rate on X?
- UX Magazine (@uxmag) has an engagement rate of 0.001%, based on the median interactions across 3 original posts from the last 30 days against 242,035 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, UX Magazine sits below the 10th percentile of the 66,258 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 @uxmag have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @uxmag post?
- Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.1 posts per day across the measured window.