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Bernard Marr engagement report

@BernardMarr - 137K followers on X

Measured over 38 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Bottom quarter for its size
Per follower
0.008%
of 137K followers
Per impression
0.863%
1.3K views on a typical post
Reach
0.97%
of its followers see a post
Typical post
12
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.27/day
active 53% of days
Peak time
05:00 UTC
Monday

A typical post picks up 12 interactions against 137K followers, an engagement rate of 0.008%. Measured over 38 original posts, its engagement rate beats 18% of 19,933 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 1.3K times each, and 0.863% of those impressions turn into an interaction. That is about 0.974% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 38 posts sampled, 63% carry an image or video and 74% link out. The account's strongest tracked post pulled 37 interactions, about 3.1x its own typical post. Recurring topics include #ai, #businesses, #artificialintelligence.

Measured over 38 original posts from a 30-day window, last computed on September 29, 2026. Recurring tags: #ai, #businesses, #artificialintelligence.

Compared with accounts its own size

Bernard Marr's engagement rate beats 18% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 8 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 38% 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 0.008%, Bernard Marr sits above the 10th percentile of the 201,342 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,342 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,901 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 05:00 UTC, and Monday 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video63% of posts+111%+108% to +115%34K
Outbound link74% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 63% 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.
  • 74% 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 621 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

  • Apr 4, 20263.1x their median

    Was such an honor to appear on the BBC programme AI Decoded! The title of the episode is: What Jobs Will Al Leave Us? Hosted by Christian Fraser and Priya Lakhani OBE we were also joined by @EllaHaferMalz. It shows six times on BBC News and BBC World this weekend and you can watch it on BBC iPlayer and on YouTube: https://t.co/jYZ8THRtiq

    1869422K viewsView on X
  • Sep 11, 20262.6x their median

    How Maersk Is Using AI To Survive The New Era Of Tariff Chaos As tariffs, customs rules and #trade regulations become increasingly complex, #Maersk is turning to #AI to help businesses avoid costly mistakes, delays and missed opportunities. Its growing use of AI across #customs, #shipping and #logistics offers a glimpse of how #intelligent #automation could reshape global #trade. https://t.co/9MITiV2WdU

    219101.8K viewsView on X
  • Sep 9, 20262.2x their median

    🤖 AI agents aren’t just changing technology — they’re about to change how we work. We’re moving beyond AI that simply answers questions towards intelligent agents that can plan tasks, make decisions, use tools and complete work on our behalf. That could fundamentally reshape the workplace. 🚀 Instead of spending hours on repetitive processes, administration and routine tasks, people could increasingly manage teams of AI agents — freeing up more time for creativity, strategy, problem-solving and human interaction. The big question isn’t simply “Will AI take jobs?” It’s “How will AI agents change what our jobs actually look like?” Watch the video and let me know: How do you think AI agents will change your work? 👇 #AI #ArtificialIntelligence #AIAgents #AgenticAI #FutureOfWork #FutureOfJobs #Automation #GenerativeAI #DigitalTransformation #WorkplaceAI #AITools #FutureTech

    136611.4K viewsView on X
  • Sep 14, 20261.8x their median

    Humanoid Robots Are Coming, Here’s What Everyone Needs To Know #HumanoidRrobots are moving rapidly from science fiction into #factories, #workplaces and potentially our homes, powered by advances in #artificialintelligence and billions of dollars of investment. From #TeslaOptimus and #FigureAI to increasingly affordable robots from China, here is what #humanoid #robots can do, why they matter and how they could transform everyday life. https://t.co/JHOuQCAnYT

    104531.6K viewsView on X
  • Sep 18, 20261.7x their median

    Who Really Controls Your AI And Data? Why Every Business Should Care As #businesses become increasingly dependent on #AI platforms and #cloud services, questions over who controls their #data, #algorithms and digital #assets are becoming impossible to ignore. AI and #datasovereignty are emerging as major #strategic issues, creating new #risks around #security, ownership, regulation and business #resilience. https://t.co/kJOgAG5ImB

    117111.1K viewsView on X
  • Sep 7, 20261.5x their median

    Workers Are Going On Strike Over Humanoid Robots, And This Is Just The Beginning #Workers have gone on strike over plans to introduce #humanoidrobots into a Hyundai factory, offering an early glimpse of the battles that could erupt as #robots move into #workplaces around the world. With companies racing to deploy #humanoid robots while regulation, #worker protections and labor agreements struggle to keep up, the coming #automation boom could trigger a major political and societal backlash. https://t.co/HV2flLJ7hJ

    97201.8K viewsView on X
  • Sep 25, 2026

    Workers Are Going On Strike Over Humanoid Robots, And This Is Just The Beginning #Workers have gone on strike over plans to introduce #humanoidrobots into a #Hyundai factory, offering an early glimpse of the battles that could erupt as #robots move into #workplaces around the world. With companies racing to deploy #humanoid robots while regulation, #worker protections and labor agreements struggle to keep up, the coming #automation boom could trigger a major political and societal backlash. https://t.co/GilZvBtHnO

    104211.7K viewsView on X
  • Sep 21, 2026

    Tokenmaxxing: The Dangerous New AI Trend Businesses Need To Stop #Tokenmaxxing is spreading through #businesses as #employees and #companies race to demonstrate how enthusiastically they are using #AI. But measuring AI success by #tokens consumed can drive up costs, encourage waste and distract leaders from the metric that really matters: the value AI creates. https://t.co/fSCeZYrOWC

    67211.4K viewsView on X
  • Sep 14, 2026

    🤖 What happens when AI agents stop answering customer questions… and start actually solving their problems? Customer service is entering a very different era. Instead of simply providing information or directing customers towards the right department, AI agents can increasingly understand an issue, access relevant systems, make decisions and take action to resolve it. ⚡ That could mean fewer hand-offs, faster resolutions and customer experiences that feel far more seamless. But it also raises an important question for businesses: how much authority should we give an AI agent when it’s dealing directly with our customers? The next generation of customer service won’t just be about better chatbots. It could be about AI that gets things done. Would you trust an AI agent to resolve your customer service issue? 👇 #AI #ArtificialIntelligence #AIAgents #AgenticAI #CustomerService #CustomerExperience #CX #Automation #FutureOfWork #DigitalTransformation #BusinessAI #FutureOfAI

    74501.2K viewsView on X
  • Sep 7, 2026

    How Google Cloud Put An AI Agent Inside Formula E’s GEN4 Car At Goodwood Festival of Speed, #GoogleCloud and #FormulaE turned the new 815hp GEN4 into a moving #AI laboratory, using a Pixel 10 Pro to process live telemetry and coach driver Dan Ticktum on the hillclimb. The experiment offers a glimpse of how #edgeAI and #autonomous #agents could move #intelligence closer to #machines, workers and real-time decisions across industry. https://t.co/M33CrXuEZL

    94201.5K 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

#ai#businesses#artificialintelligence#skills#workplaces

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 12 interactions against 137K followers, an engagement rate of 0.008%. Measured over 38 original posts, its engagement rate beats 18% of 19,933 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 1.3K times each, and 0.863% of those impressions turn into an interaction. That is about 0.974% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 38 posts sampled, 63% carry an image or video and 74% link out. The account's strongest tracked post pulled 37 interactions, about 3.1x its own typical post. Recurring topics include #ai, #businesses, #artificialintelligence.

What is Bernard Marr's engagement rate on X?
Bernard Marr (@BernardMarr) has an engagement rate of 0.008%, based on the median interactions across 38 original posts from the last 30 days against 136,909 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Bernard Marr sits above the 10th percentile of the 201,342 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 @BernardMarr have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (19,933 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 @BernardMarr post?
Most posts go out around 05:00 UTC, and Monday is its busiest day, at roughly 1.27 posts per day across the measured window.

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