Mark Cuban engagement report
@mcuban - 8.6M followers on X
Measured over 52 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
A typical post picks up 180 interactions against 8.6M followers, an engagement rate of 0.002%. Measured over 52 original posts, its engagement rate beats 25% of 3,739 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 143K times each, and 0.126% of those impressions turn into an interaction. That is about 1.67% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 52 posts sampled, 42% carry an image or video, 6% are part of a thread and 37% link out. The account's strongest tracked post pulled 30K interactions, about 167x its own typical post. Recurring topics include #mffl, #healthcarereform, #insurancegreed.
Measured over 52 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #mffl, #healthcarereform, #insurancegreed.
Compared with accounts its own size
Mark Cuban's engagement rate beats 25% of the tracked X accounts closest to it in follower count (3,739 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 11% 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 0.002%, Mark Cuban sits above the 10th percentile of the 36,378 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.432% |
| 90th percentile | 2.10% |
| 99th percentile | 161.0% |
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 19:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- Jul 21, 2026167x 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
- 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.
- Aug 21, 202691x 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
- Aug 9, 202660x their median
RIP Nellie https://t.co/vfyoaZrgV4
- Aug 17, 202634x 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
- Aug 15, 202634x their median
The California Democratic Party and the California labor movement just stood with @BernieSanders and me in supporting 5% wealth tax on 250 California billionaires. California voters want a Democratic Party that will stand up for the working class over the billionaire class. https://t.co/QrLZUh3bS6
- Aug 15, 202634x their median
Chips as an asset class will be the new crypto
- May 11, 202526x their median
Just found the old list of patents out IP lawyers for Broadcast com were going to file but never got around to under Yahoo. Not saying they all would have been granted, but if you ever need prior art in this area, here you go lol. Potential https://t.co/11YZmkx5es Patent Applications January 4, 1999 1. Geographic IP Identification Technique for pin-pointing the geographic location of a static IP device by triangulating routes taken by IP packets and building a database of IP addresses and DNS names. 2. Hybrid Networks A commercial network of unicast and multicast enabled networks that terminates at a single point and which enables digital content to be distributed in a one-to-many fashion across multiple networks from a single initiation point. 3. Multi-Network Multicast A commercial network of multicast enabled networks that terminates at a single point and which enables digital content to be distributed in a one-to-many fashion across multiple networks from a single initiation point. 4. Reverse Auction Online auction mechanism in which a buyer who desires to purchase goods defines that desire, along with a maximum price that s/he will pay. Potential sellers then respond by offering their goods at a price below any previous bidders and at or below the designated maximum price. 5. Audio Ad Delivery Software techniques for parsing files served by web server and acting upon text to perform functions such as audio ad rotation and synchronized audio ad/pop-up URL scripting. 6. Web Server Reporting System Software techniques for reporting on very large web server of files across multiple web servers in order to comply with industry-standard web server reporting practices. 7. Commerce Payment Gateway Integration Modular software routines for interfacing with a variety of payment getaway vendors (e.g. Mpact, Cybersource) for pay-per-view/listen and for traditional e-commerce. 8. Streaming Server Parsing And Reporting Software techniques for reporting on very large streaming server log files across hundreds of streaming servers. 9. Streaming Authentication System Custom database and related Software routines that extend RealAudio's 5.x implementation of user and player authentication. 10. Web Page Generation System Set of databases and scripts for automatically generating website sections such as CD Jukebox, Radio Stations, AudioBooks, etc. 11. Live Events Management System Custom data base and web-based system for managing daily events by collecting data on each event and "publishing" collected data to various groups as needed. 12. Automatic Content Promotion Set of scripts that run against live event databases and generate files for publishing to Yahoo!, Real Networks, and CMP. 13. Telephony-Based Content Publication System that allows people to call into a voice-mailbox and leave messages which are then automatically encoded into multimedia content and hosted on a website.
- Aug 21, 202624x their median
Thank you, Klay Thompson 🫡 #MFFL https://t.co/audf1uA6bQ
- Aug 10, 202622x their median
If you own shares in a fund that owns any of the biggest insurance carriers, you are part of the cost of healthcare problem in this country. Those companies put the share price over the health of you, your family, co-workers and friends. The worst part Is they will lie and mislead you to make more Tell the funds you own that you will sell if they don’t divest their interests in the biggest insurance companies 61 pct of Americans own stocks directly or indirectly. You can make a difference
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
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 180 interactions against 8.6M followers, an engagement rate of 0.002%. Measured over 52 original posts, its engagement rate beats 25% of 3,739 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 143K times each, and 0.126% of those impressions turn into an interaction. That is about 1.67% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 52 posts sampled, 42% carry an image or video, 6% are part of a thread and 37% link out. The account's strongest tracked post pulled 30K interactions, about 167x its own typical post. Recurring topics include #mffl, #healthcarereform, #insurancegreed.
- What is Mark Cuban's engagement rate on X?
- Mark Cuban (@mcuban) has an engagement rate of 0.002%, based on the median interactions across 52 original posts from the last 30 days against 8,554,828 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, Mark Cuban sits above the 10th percentile of the 36,378 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 25% of the tracked X accounts closest to it in follower count (3,739 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 @mcuban post?
- Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 7.27 posts per day across the measured window.