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NICE engagement report

@NICEComms - 236K followers on X

Measured over 20 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 236K followers
Per impression
0.237%
2.5K views on a typical post
Reach
1.07%
of its followers see a post
Typical post
6
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.8/day
active 50% of days
Peak time
10:00 UTC
Tuesday

A typical post picks up 6 interactions against 236K followers, an engagement rate of 0.003%. Measured over 20 original posts, its engagement rate beats 11% 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 2.5K times each, and 0.237% of those impressions turn into an interaction. That is about 1.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 20 posts sampled, 90% carry an image or video, 5% are part of a thread and 100% link out. The account's strongest tracked post pulled 24 interactions, about 4.0x its own typical post. Recurring topics include #nicetalks, #lifesciences, #marketaccess.

Measured over 20 original posts from a 30-day window, last computed on September 29, 2026. Recurring tags: #nicetalks, #lifesciences, #marketaccess.

Compared with accounts its own size

NICE's engagement rate beats 11% 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 14% 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 0.003%, NICE sits below the 10th percentile of the 205,582 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%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.679%
90th percentile2.56%
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 10:00 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.

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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video90% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 90% 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 273 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 10, 20264.0x their median

    More than 1,760 people with newly diagnosed multiple myeloma could benefit from a new NICE-recommended treatment option. Evidence shows it can help people live longer and keep the disease under control for longer than standard treatment: https://t.co/EWxuk4PU35 https://t.co/w7uobvSOKt

    168003.0K viewsView on X
  • Aug 20, 20264.0x their median

    Hundreds of thousands of people with type 2 diabetes could benefit from a new weekly insulin injection after NICE recommended insulin efsitora alfa. The treatment could reduce injections from 365 a year to just 52. Find out more 👇 https://t.co/b4EZXLlYDD https://t.co/bO1wF1SdFg

    147125.0K viewsView on X
  • Jul 29, 20264.0x their median

    Earlier detection can help prevent further fractures. That's why NICE's updated osteoporosis guideline recommends quick spine checks alongside routine bone scans to help identify hidden spinal fractures in people most at risk. Find out more⬇️ https://t.co/LXMPAWOZfl https://t.co/M4OXMonKd6

    149013.7K viewsView on X
  • Sep 15, 20263.7x their median

    NICE has completed the first test of a new approach to keeping guidance aligned and up-to-date. Using evidence from our updated type 2 diabetes guideline, we've updated recommendations for 4 medicines through our whole lifecycle approach programme: https://t.co/lLoMOFThbM https://t.co/izCaQ7Crqo

    165014.9K viewsView on X
  • Aug 10, 20263.7x their median

    AI is already beginning to change healthcare. Our new plan outlines how NICE will support the safe, effective and scalable adoption of AI in the NHS: https://t.co/eyW6Y7qNQD https://t.co/lU8ASDDT3j

    128112.9K viewsView on X
  • Jul 9, 20263.3x their median

    A groundbreaking approach to monitoring heart failure patients remotely has reduced unnecessary hospital admissions by 58%, improving patient experience and saving the NHS £4,158 per patient: https://t.co/JrIrLjxLGs Developing or adopting healthtech? https://t.co/VPXEPKcT64 https://t.co/gNScdkN84v

    108202.9K viewsView on X
  • Aug 5, 20263.2x their median

    AI is already beginning to change healthcare. Our new plan outlines how NICE will support the safe, effective and scalable adoption of AI in the NHS: https://t.co/Byi69jFzCl https://t.co/qAOzDtSOPD

    88303.3K viewsView on X
  • Jul 7, 20262.8x their median

    In the UK, average diagnosis takes over 9 years. Endosure and Endotest can now be used in the NHS while more evidence is gathered. Learn more: https://t.co/s2e5nnqcZW 👉Developing or adopting healthtech? Explore support: https://t.co/v2WeiJQqJU https://t.co/CbqUsyCLgA

    86212.5K viewsView on X
  • Aug 17, 20262.7x their median

    Modern Service Frameworks aim to improve access to high-quality care nationally. With the first frameworks for cardiovascular disease and sepsis now published, and 4 more to follow, find out how NICE is helping put evidence at the heart of this work. 🔗https://t.co/5Zg6FvhfTF https://t.co/rvoWQ80q7v

    114104.0K viewsView on X
  • Jul 1, 20262.7x their median

    Polyendocrine metabolic ovarian syndrome (previously known as polycystic ovary syndrome) affects around 1 in 8 women in the UK, yet it's frequently under-diagnosed. Our new draft guideline recommends annual reviews and aims to improve early diagnosis: https://t.co/WXmV0tevAo https://t.co/VGrQfOY6hb

    78102.5K 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.

Recurring topics

#nicetalks#lifesciences#marketaccess#organdonationweek#sicklecellawarenessmonth

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 6 interactions against 236K followers, an engagement rate of 0.003%. Measured over 20 original posts, its engagement rate beats 11% 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 2.5K times each, and 0.237% of those impressions turn into an interaction. That is about 1.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 20 posts sampled, 90% carry an image or video, 5% are part of a thread and 100% link out. The account's strongest tracked post pulled 24 interactions, about 4.0x its own typical post. Recurring topics include #nicetalks, #lifesciences, #marketaccess.

What is NICE's engagement rate on X?
NICE (@NICEComms) has an engagement rate of 0.003%, based on the median interactions across 20 original posts from the last 30 days against 235,863 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, NICE sits below the 10th percentile of the 205,582 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 @NICEComms have real engagement?
Its engagement rate beats 11% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter 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 @NICEComms post?
Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 0.8 posts per day across the measured window.

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