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Network Rail engagement report

@networkrail - 204K followers on X

Measured over 46 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Middle of its size range
Per follower
0.016%
of 204K followers
Per impression
0.581%
5.7K views on a typical post
Reach
2.79%
of its followers see a post
Typical post
33
interactions (median)
Saved
0.035%
2 bookmarks on a typical post
Posting rate
1.9/day
active 87% of days
Peak time
10:00 UTC
Wednesday

A typical post picks up 33 interactions against 204K followers, an engagement rate of 0.016%. Measured over 46 original posts, its engagement rate beats 30% of 20,183 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 5.7K times each, and 0.581% of those impressions turn into an interaction. That is about 2.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 46 posts sampled, 100% carry an image or video, 7% are part of a thread and 76% link out. The account's strongest tracked post pulled 149 interactions, about 4.5x its own typical post. Recurring topics include #autumn, #greatbritishrailways, #weekonthenetwork.

Measured over 46 original posts from a 30-day window, last computed on October 7, 2026. Recurring tags: #autumn, #greatbritishrailways, #weekonthenetwork.

Compared with accounts its own size

Network Rail's engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,183 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 29% 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 0.016%, Network Rail sits above the 10th percentile of the 203,761 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.676%
p902.54%
p9982.4%
Engagement rate as a share of followers, across the 203,761 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,884 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 percentile0.142%
75th percentile0.676%
90th percentile2.54%
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 Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video100% of posts+111%+108% to +115%34K
Outbound link76% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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.
  • 76% 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 275 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 7, 20264.5x their median

    πŸ”Œ πŸš† The electrification of the #Borders Railway is taking shape. Engineers have started installing the steel masts that will support the overhead wires needed for new battery-electric trains: πŸ‘‰ https://t.co/8Y4uVL7z8I @NetworkRailSCOT https://t.co/3jXbeeM1m6

    1349518.5K viewsView on X
  • Oct 2, 20263.7x their median

    It's not just people who trespass on our tracks and disrupt your journeys. Sometimes our teams have to deal with swans, sheep and even horses ... 🐴 🦒 Find out how we're reducing the number of animals going onto the railway: πŸ‘‰ https://t.co/Q79RV3tLKJ https://t.co/eRfaptFbtf

    10513317.3K viewsView on X
  • Sep 4, 20263.4x their median

    πŸ™Œ Digital in-cab signalling has been used by passenger trains on the East Coast Main Line for the first time. The 08:05 Great Northern service to Moorgate on Monday used the system on the mainline as it was signalled out of Welwyn Garden City: ➑️ https://t.co/FQqB3Thc6N https://t.co/kYpn3Oqd0K

    9712308.7K viewsView on X
  • Oct 4, 20262.9x their median

    πŸ›€οΈ 16 days of improvements in the Huddersfield area. 🏴󠁧󠁒󠁷󠁬󠁳󠁿 Once-in-a-generation work along the North Wales Coast. πŸ‚ And more leaf-busting trains start their autumn shifts. It's #WeekOnTheNetwork https://t.co/QU7mdLkJDi

    858408.5K viewsView on X
  • Sep 7, 20262.4x their median

    πŸš‰ The new entrance to Bristol Temple Meads has opened, transforming access to the railway and creating a new gateway to #Bristol. πŸ™Œ The eastern entrance opens directly onto the new campus, dramatically improving connectivity: πŸ‘‰ https://t.co/MxELzYJ5b0 https://t.co/s7cwBjttG9

    6610406.9K viewsView on X
  • Aug 27, 20262.4x their median

    Getting back on track #lewes https://t.co/qT2wnasLQ9

    6781420K viewsView on X
  • Sep 11, 20262.4x their median

    πŸš„ Β£1bn fleet of new trains will offer more services for you across the Transpennine route. Ordered by @TPExpressTrains and manufactured by @Alstom, they will be among the first battery-electric trains to operate on a UK mainline: πŸ‘‰ https://t.co/mZ0tWTUVKe @transportgovuk https://t.co/gkQhSlj6d2

    6310426.6K viewsView on X
  • Oct 5, 20262.3x their median

    Say hello to yellow! Station staff at Leeds, Liverpool Lime Street and Manchester Piccadilly are now wearing yellow vests. This makes them easier to find when you need help, directions or support. #NationalCustomerServiceWeek https://t.co/4qylsxOTdN

    541210113K viewsView on X
  • Sep 28, 20262.3x their median

    The world's first bridge to combine rail and road traffic. 😍 The iconic High Level Bridge in #Newcastle was opened by Queen Victoria #onthisday in 1849! πŸ‘‰ https://t.co/86Jy5DQxQM πŸ“Έ : Captured by our Air Operations team https://t.co/RYjsUzH3uP

    6212205.5K viewsView on X
  • Sep 2, 20262.2x their median

    πŸš‰ Major Transpennine Route Upgrade works to drive forward Huddersfield station transformation this autumn: πŸ‘‰ https://t.co/lhRQuaht9g We're remodelling platforms four, five and six to make room for longer trains. πŸš„ @theTRUpgrade https://t.co/6QVo2x0CEF

    657207.5K 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

#autumn#greatbritishrailways#weekonthenetwork#consultation#drought

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 33 interactions against 204K followers, an engagement rate of 0.016%. Measured over 46 original posts, its engagement rate beats 30% of 20,183 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 5.7K times each, and 0.581% of those impressions turn into an interaction. That is about 2.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 46 posts sampled, 100% carry an image or video, 7% are part of a thread and 76% link out. The account's strongest tracked post pulled 149 interactions, about 4.5x its own typical post. Recurring topics include #autumn, #greatbritishrailways, #weekonthenetwork.

What is Network Rail's engagement rate on X?
Network Rail (@networkrail) has an engagement rate of 0.016%, based on the median interactions across 46 original posts from the last 30 days against 203,594 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.016%, Network Rail sits above the 10th percentile of the 203,761 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 @networkrail have real engagement?
Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,183 accounts), which puts it in the middle of its size range 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 @networkrail post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 1.9 posts per day across the measured window.

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