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Martin Lewis engagement report

@MartinSLewis - 3.3M followers on X

Measured over 85 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Middle of its size range
Per follower
0.006%
of 3.3M followers
Per impression
0.182%
117K views on a typical post
Reach
3.57%
of its followers see a post
Typical post
214
interactions (median)
Saved
0.017%
20 bookmarks on a typical post
Posting rate
6.4/day
active 83% of days
Peak time
18:00 UTC
Tuesday

A typical post picks up 214 interactions against 3.3M followers, an engagement rate of 0.006%. Measured over 85 original posts, its engagement rate beats 28% of 20,444 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 117K times each, and 0.182% of those impressions turn into an interaction. That is about 3.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 85 posts sampled, 22% carry an image or video, 16% are part of a thread and 34% link out. The account's strongest tracked post pulled 47K interactions, about 218x its own typical post. Recurring topics include #martinlewis, #pmqs.

Measured over 85 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #martinlewis, #pmqs.

Compared with accounts its own size

Martin Lewis's engagement rate beats 28% 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 13% 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 0.006%, Martin Lewis sits above the 10th percentile of the 204,798 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 percentile0.678%
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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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 video22% of posts+111%+108% to +115%34K
Outbound link34% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 22% 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.
  • 34% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 354 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

  • Sep 27, 2026218x their median

    On a packed train with my family. Couple across the aisle both alternatively playing social media videos on speakers at full volume. Managed not to say anything until the woman started playing a documentary about serial killers. I'm here with my daughter. I politely said "please could you turn it down it's not appropriate." To which she replied "I'm sure she's heard worse at school." I said that really wasn't her call to make and in general could she please reduce the volume. Her response "Its a public train for heavens sake". For me that's exactly why it is anti social (and what headphones were invented for). I'm wondering which one of us is out of kilter on this? Ps I should note she did thankfully reduce the volume and we all left it there.

    42K1.6K3.1K2534.0M viewsView on X
  • Jul 22, 202641x their median

    If @andyburnham really wanted to help with Energy Bills he would remove the standing charges. @MartinSLewis is right in this. Completely shameful that people have pay over £300 a year for the privilege of having a connection.

    7.1K1.3K17416232K viewsView on X
  • Jul 29, 202628x their median

    Just spotted this. It's misleading and unnecessary, who eats 5/6th of a bag? https://t.co/NjhllbCDFK

    5.4K25234331461K viewsView on X
  • Jul 23, 202625x their median

    Pls spread word. Three digits can help protect you from scams: 159. If you're suspicious of a 'call from your bank', politely hang up and dial 159. It connects you to a switchboard that puts you through to your bank's real number. Watch the video for why its extra protection https://t.co/4NBK3DPgtY

    3.2K1.8K7629321K viewsView on X
  • Sep 30, 202620x their median

    Thank you Dame Esther Rantzen for all you did for the country, and personally for all you did to open the doors for someone like me. Esther was an inspiration. Firstly as a a consumer journalist. She pioneered mass reach programming with a campaigning bent, something I've tried to emulate, albeit with a shadow of her TV reach. Then by acting, rather than just commenting, setting up her own superb nationally impacting charities. I was lucky enough to meet her a few times in green rooms. Always sharp, on it, independent of thought even if it wasn't in line with everyone else. We shared a a few laughs too. She may be gone, but her impact and memory will long continue to shine. Thank you Esther. Condolences to all her family.

    4.0K1721848130K viewsView on X
  • Sep 17, 202616x their median

    “Why are bills UP £300 when they were meant to be DOWN £300?” Martin puts your first question to Energy Secretary @Miatsf For more inc on standing charges, green policy, regional pricing, and Jan’s predicted 24% price hike. Watch the full energy bills special on https://t.co/g5Fzg2Qyvv ITVX

    1.9K4001.1K115568K viewsView on X
  • Oct 7, 202614x their median

    I don't know about where you are, but the weather suddenly feels so different today. The sky is greyer. Ive got so used to waking up to sunny, warm days. It's seems months since it last felt like this.

    2.6K5827313150K viewsView on X
  • Jul 21, 202614x their median

    I've just got the latest energy bill predictions. The average of 3 sources show the Price Cap rising 5.1% on 1 Oct - as the last week has seen very high wholesale rates. An annualised rise of £93 on a typical bill. If this happens it will wipe out any household savings from the VAT cut during that Price Cap period (those on fixes will still see a 4.8% reduction).

    1.8K755235107342K viewsView on X
  • Oct 18, 202612x their median

    Bought a raincoat yesterday & gave my email for the warranty. Since then: THREE marketing emails. Why? It’s a niche product, I won’t need another. One email a couple of months later I’d have lived with. Three made me unsubscribe. Surely that isn’t productive marketing?

    2.4K671404135K viewsView on X
  • Oct 15, 202612x their median

    My heart just sank when I saw the latest January Price Cap prediction, averaged over three analysts. Up 25%! It wasn't unexpected, wholesale energy costs have been sky high this week, but still! We're now 8wks through the 13wk period it is averaged over, so its firming up.

    1.6K33349489733K 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

#martinlewis#pmqs

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 214 interactions against 3.3M followers, an engagement rate of 0.006%. Measured over 85 original posts, its engagement rate beats 28% of 20,444 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 117K times each, and 0.182% of those impressions turn into an interaction. That is about 3.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 85 posts sampled, 22% carry an image or video, 16% are part of a thread and 34% link out. The account's strongest tracked post pulled 47K interactions, about 218x its own typical post. Recurring topics include #martinlewis, #pmqs.

What is Martin Lewis's engagement rate on X?
Martin Lewis (@MartinSLewis) has an engagement rate of 0.006%, based on the median interactions across 85 original posts from the last 30 days against 3,284,584 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Martin Lewis sits above the 10th percentile of the 204,798 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 @MartinSLewis have real engagement?
Its engagement rate beats 28% of the tracked X accounts closest to it in follower count (20,444 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 @MartinSLewis post?
Most posts go out around 18:00 UTC, and Tuesday is its busiest day, at roughly 6.4 posts per day across the measured window.

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