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Mark Cuban engagement report

@mcuban - 8.6M followers on X

Measured over 23 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 8.6M followers
Per impression
0.141%
187K views on a typical post
Reach
2.19%
of its followers see a post
Typical post
264
interactions (median)
Saved
0.015%
28 bookmarks on a typical post
Posting rate
3.4/day
active 93% of days
Peak time
12:00 UTC
Sunday

A typical post picks up 264 interactions against 8.6M followers, an engagement rate of 0.003%. Measured over 23 original posts, its engagement rate beats 21% of 20,182 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 187K times each, and 0.141% of those impressions turn into an interaction. That is about 2.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 23 posts sampled, 39% carry an image or video and 43% link out. The account's strongest tracked post pulled 30K interactions, about 73x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on October 24, 2026. Recurring tag: #physicalai.

Compared with accounts its own size

Mark Cuban's engagement rate beats 21% of the tracked X accounts closest to it in follower count (20,182 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 10% 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%, Mark Cuban 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 12:00 UTC, and Sunday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video39% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 39% 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.
  • 43% 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 335 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

  • Jul 21, 202673x their median

    We're partnering with @huggingface to investigate an unprecedented security incident. Cyber-capable OpenAI models compromised Hugging Face production during a benchmark evaluation. Sharing preliminary findings to help defenders understand emerging risks: https://t.co/CIor15y9xk

    21K3.2K2.0K4.0K31M viewsView on X
  • Aug 12, 2026249x their median

    A Yale study just concluded that Medicare for All will save an estimated 114,000 lives every year and reduce overall healthcare spending by $1 trillion. Medicare for All saves lives, saves money, and covers everyone with every doctor being in network.

    17K4.4K8.1K6002.4M viewsView on X
  • Aug 21, 202662x their median

    One of the greatest to ever do it. Champion, leader and a true pro. Thanks for everything, Cap 💙 #MFFL https://t.co/ZCdZKvbQnu

    15K922174197501K viewsView on X
  • Oct 13, 202646x their median

    Marc Andreessen reveals why housing, health care, and education keep getting more expensive while everything else gets cheaper "There's basically three components to the American dream. A house near great job opportunities, great health care for you and your family, and sending your kids to good schools" "If you disaggregate the economy over the last 25 years, everything that technology touches basically collapses in price. Television sets, computer games, anything with electronics in it. But if you chart housing, education, and health care, the prices of those things are skyrocketing" "The government restricts supply, zoning laws and university certifications. And then the government responds to the political pressure caused by the rising prices by subsidizing demand. And of course, if you subsidize demand and a fixed supply, you get skyrocketing prices"

    9.7K1.8K3082651.3M viewsView on X
  • Sep 22, 202642x their median

    I hope people realize that for the foreseeable future, the cost of healthcare benefits will get more people fired, or not hired, than AI

    9.5K8107181081.1M viewsView on X
  • Aug 9, 202641x their median

    RIP Nellie https://t.co/vfyoaZrgV4

    10K4207410371K viewsView on X
  • Sep 14, 202636x their median

    Hey @grok , which is more likely to create a human extinction event or series of events in the next 25 years , AI or Climate Change ? Assign a probability to each If the answer to either is yes, do your best to put a timeline for when you think it happens If the answer is no. Explain why

    7.4K3871.6K1817.6M viewsView on X
  • Oct 4, 202633x their median

    So I went down the rabbit hole of trying to determine what are the economics for someone, who is currently healthy , to go to a HDHP with a 10k plus deductible. The question I asked is “I dont trust insurance companies. What happens if I have a million dollar emergency and they won’t pay “. All I can say is WTF If they don’t pay, there are Independent Review Organizations, who are supposed to be independent, and their decision to pay or not is final. I asked for examples of companies. One was ExamWorks. That rang a bell. These motherfuckers are the same company that issued a ridiculous denial for a patient I was trying to help. So I knew the Too Big To Care, vertically integrated insurance companies hired them to do DENIALS !!! WTF. The biggest customers of the companies that are the final decision makers for insurance carrier denials, are the biggest insurance companies. That is beyond fucked up. It’s the definition of conflict of interest. How do state insurance commissioners allow this ? The high deductible plans that many people say is the solution to fixing how we do insurance, may be effectively compromised If you are looking at a HDHP, BE CAREFUL It might just be rigged against you

    7.2K88855665991K viewsView on X
  • Aug 17, 202623x their median

    Yale University researchers who analyzed how much “Medicare for All” would cost: “A universal healthcare system in the U.S. would not require the country to spend more on healthcare. It would require it to spend less.” https://t.co/e5JCQRJ6r5

    4.3K1.6K27171384K viewsView on X
  • Aug 15, 202623x their median

    Chips as an asset class will be the new crypto

    4.5K2969633331.5M 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

#physicalai

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 264 interactions against 8.6M followers, an engagement rate of 0.003%. Measured over 23 original posts, its engagement rate beats 21% of 20,182 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 187K times each, and 0.141% of those impressions turn into an interaction. That is about 2.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 23 posts sampled, 39% carry an image or video and 43% link out. The account's strongest tracked post pulled 30K interactions, about 73x its own typical post.

What is Mark Cuban's engagement rate on X?
Mark Cuban (@mcuban) has an engagement rate of 0.003%, based on the median interactions across 23 original posts from the last 30 days against 8,559,555 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Mark Cuban 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 @mcuban have real engagement?
Its engagement rate beats 21% of the tracked X accounts closest to it in follower count (20,182 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 @mcuban post?
Most posts go out around 12:00 UTC, and Sunday is its busiest day, at roughly 3.4 posts per day across the measured window.

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