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BBC News (UK) engagement report

@BBCNews - 15M followers on X

Measured over 750 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 15M followers
Per impression
0.17%
44K views on a typical post
Reach
0.29%
of its followers see a post
Typical post
75
interactions (median)
Saved
0.011%
5 bookmarks on a typical post
Posting rate
26.93/day
active 100% of days
Peak time
07:00 UTC
Thursday

A typical post picks up 75 interactions against 15M followers, an engagement rate of 0.001%. Measured over 750 original posts, its engagement rate beats 7% 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 44K times each, and 0.17% of those impressions turn into an interaction. That is about 0.291% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 26.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 750 posts sampled, 100% link out. The account's strongest tracked post pulled 14K interactions, about 184x its own typical post.

Measured over 750 original posts from a 30-day window, last computed on October 25, 2026. Recurring tag: #politicslive.

Compared with accounts its own size

BBC News (UK)'s engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 12% 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%, BBC News (UK) sits below the 10th percentile of the 204,491 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
90th percentile2.55%
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 Thursday 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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--3%-3% to -2%54K
  • 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 89 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Sep 29, 2026184x their median

    Man City guilty of all financial breaches, PL confirms https://t.co/Macj8KhxBO

    11K2.5K2384521.5M viewsView on X
  • Sep 24, 2026147x their median

    Edinburgh Zoo's red panda goes to the vet for toothache https://t.co/Ic61nNUzPg

    10K525942751.6M viewsView on X
  • Sep 18, 2026136x their median

    War may be coming. Are we psychologically ready? https://t.co/fz7dbEuKvu

    5.2K1.2K2.3K1.5K13M viewsView on X
  • Oct 5, 2026103x their median

    Supporters of jailed ex-PM Imran Khan march to Pakistan capital https://t.co/cDTsNPqYXG

    5.2K2.4K9928111K viewsView on X
  • Sep 9, 202683x their median

    Police launch criminal investigation into Reform UK donations https://t.co/5YndJP59gX

    4.7K982329160555K viewsView on X
  • Oct 22, 202671x their median

    Trump ordered to sit for deposition in BBC lawsuit https://t.co/jMPKkya2U9

    4.3K68122087375K viewsView on X
  • Oct 20, 202658x their median

    Audit regulator looking into Manchester City accounting https://t.co/x9jMYwGuer

    3.6K58511779473K viewsView on X
  • Oct 22, 202658x their median

    Fernandes has home burgled while in Italy with Man Utd https://t.co/QxeKM83PZe

    3.7K238176237505K viewsView on X
  • Aug 18, 202653x their median

    Pakistan top court orders ex-PM Imran Khan be moved to hospital from jail https://t.co/REeL4IFgS9

    2.8K1.1K6816130K viewsView on X
  • Oct 8, 202650x their median

    Margaret Hamilton, whose software helped land Apollo 11 on the moon, dies at 90 https://t.co/GCjH3Z606v

    3.1K5464839250K 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

#politicslive

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 75 interactions against 15M followers, an engagement rate of 0.001%. Measured over 750 original posts, its engagement rate beats 7% 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 44K times each, and 0.17% of those impressions turn into an interaction. That is about 0.291% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 26.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 750 posts sampled, 100% link out. The account's strongest tracked post pulled 14K interactions, about 184x its own typical post.

What is BBC News (UK)'s engagement rate on X?
BBC News (UK) (@BBCNews) has an engagement rate of 0.001%, based on the median interactions across 750 original posts from the last 30 days against 15,153,768 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, BBC News (UK) sits below the 10th percentile of the 204,491 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 @BBCNews have real engagement?
Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,444 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 @BBCNews post?
Most posts go out around 07:00 UTC, and Thursday is its busiest day, at roughly 26.93 posts per day across the measured window.

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