Stanford Graduate School of Business engagement report
@StanfordGSB - 507K followers on X
Measured over 37 original posts from a 30-day window, last computed on October 19, 2026.
Engagement
A typical post picks up 9 interactions against 507K followers, an engagement rate of 0.002%. Measured over 37 original posts, its engagement rate beats 16% of 21,185 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 3.0K times each, and 0.301% of those impressions turn into an interaction. That is about 0.59% 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 67% of days. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 37 posts sampled, 14% carry an image or video and 86% link out. The account's strongest tracked post pulled 377 interactions, about 42x its own typical post.
Measured over 37 original posts from a 30-day window, last computed on October 19, 2026. Recurring tag: #worldmentalhealthday.
Compared with accounts its own size
Stanford Graduate School of Business's engagement rate beats 16% of the tracked X accounts closest to it in follower count (21,185 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 21% 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%, Stanford Graduate School of Business sits below the 10th percentile of the 212,925 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 83.0% |
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 17:00 UTC, and Thursday 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% | 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 14% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 86% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 14% 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.
- 86% 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 226 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
- Oct 6, 202642x their median
Ugandan farmers know their shea trees could yield value for generations to come — if only they could afford to leave them standing that long. Maxima Nsimenta, MBA ’26, is working to ensure they can. https://t.co/nF2JzOJi7V
- Aug 14, 202617x their median
David Rubenstein, co-founder of the Carlyle Group (@OneCarlyle), has spent decades around extraordinary wealth. "The most tortured people I know are some of the wealthiest people in society,” Rubenstein tells Sanil Rajput, MBA ’26. “The most elusive thing in life is personal happiness.” Listen to View From The Top: The Podcast: https://t.co/e8x6Nst3zw
- Aug 18, 202612x their median
Our fears define us — unless we define them first. Lecturer Graham Weaver’s answer is to name fear by writing it down. “Fear on paper is just a problem to be solved,” he said in his “Last Lecture Series” speech. https://t.co/9VEFSu68k7
- Aug 2, 202610x their median
Many people confuse machine learning with artificial intelligence. While the two are related, they aren’t the same thing. This quick explainer video reveals what machine learning is, how it facilitates AI, and how you’ve already seen it in action. https://t.co/2HMwwwoNC2 https://t.co/8cbIHFZswD
- Aug 7, 20269.6x their median
"As AI becomes more prevalent, soft skills like empathy, influence, and reading the room—things AI can’t accurately replicate—are becoming more valuable," says @Abrahams_Matt, lecturer and host of the @TFTSThePod. https://t.co/gQ6YYSUThy
- Aug 18, 20269.4x their median
“Fear in your head is paralyzing,” says lecturer Graham Weaver. “Fear on paper is just a problem to be solved.” As a “Last Lecture Series” speaker, Weaver shared practical tools for pursuing what matters — without crushing your soul in the process. https://t.co/WQUSY0Vvxs
- Oct 6, 20269.1x their median
With her venture, Farmetric, Maxima Nsimenta, MBA ’26, is simultaneously tackling environmental and economic problems. Her mission: “To leave trees standing while helping farmers increase their incomes and move out of poverty.” https://t.co/CClYXu3hbq
- Aug 6, 20269.0x their median
Congratulations to Saumitra Jha (@saumjha), associate professor of political economy, on being selected as a finalist for the Social Science Breakthrough of the Year for his work on ‘Breaking through the Ethnic Growth Trap’ by the @Falling_Walls Foundation! Read Professor Jha’s fellow profile here: https://t.co/HWbucWlzZ7 Read the full announcement: https://t.co/gKdNNiTstn
- Aug 2, 20268.2x their median
What does it mean to say computers are learning? This quick explainer video dives into machine learning — how it works, why it’s distinct from artificial intelligence, and how it shows up in everyday life. https://t.co/DJ7I9MVRmG https://t.co/O7akhWQ6FE
- Aug 8, 20267.7x their median
If today’s most capable leaders feel like they’re failing, it’s not because they lack skills. According to lecturer Robert Siegel, it’s because the rules of leadership have fundamentally changed. https://t.co/2prkUgHMV8
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 9 interactions against 507K followers, an engagement rate of 0.002%. Measured over 37 original posts, its engagement rate beats 16% of 21,185 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 3.0K times each, and 0.301% of those impressions turn into an interaction. That is about 0.59% 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 67% of days. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 37 posts sampled, 14% carry an image or video and 86% link out. The account's strongest tracked post pulled 377 interactions, about 42x its own typical post.
- What is Stanford Graduate School of Business's engagement rate on X?
- Stanford Graduate School of Business (@StanfordGSB) has an engagement rate of 0.002%, based on the median interactions across 37 original posts from the last 30 days against 507,025 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, Stanford Graduate School of Business sits below the 10th percentile of the 212,925 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 @StanfordGSB have real engagement?
- Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (21,185 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 @StanfordGSB post?
- Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 1.33 posts per day across the measured window.