Stanford Graduate School of Business engagement report
@StanfordGSB - 507K followers on X
Measured over 49 original posts from a 30-day window, last computed on August 28, 2026.
Engagement
A typical post picks up 19 interactions against 507K followers, an engagement rate of 0.004%. Measured over 49 original posts, its engagement rate beats 18% of 3,899 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 6.0K times each, and 0.319% of those impressions turn into an interaction. That is about 1.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 21:00 UTC, and Monday is the busiest day of the week. Of the 49 posts sampled, 20% carry an image or video and 94% link out. The account's strongest tracked post pulled 154 interactions, about 8.1x its own typical post.
Measured over 49 original posts from a 30-day window, last computed on August 28, 2026.
Compared with accounts its own size
Stanford Graduate School of Business's engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,899 accounts, accounts of similar size (decile 7 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 24% 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 0.004%, Stanford Graduate School of Business sits above the 10th percentile of the 37,856 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 | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 155.6% |
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 21:00 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% | 53K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 52K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 50K |
| 07:00 UTC | -5% | 54K |
| 08:00 UTC | -4% | 63K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 75K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 90K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -3% | 101K |
| 15:00 UTC | -2% | 105K |
| 16:00 UTC | -4% | 102K |
| 17:00 UTC | -3% | 95K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 69K |
| 22:00 UTC | -2% | 60K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 238K |
| Monday | 0% | 302K |
| Tuesday | -3% | 302K |
| Wednesday | -1% | 257K |
| Thursday | -2% | 250K |
| Friday | -3% | 259K |
| Saturday | +3% | 233K |
Best tweets
- Aug 14, 20268.1x 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, 20265.7x 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, 20264.9x 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, 20264.5x 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, 20264.5x 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
- Aug 6, 20264.3x 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, 20263.8x 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, 20263.6x 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
- Aug 5, 20263.2x their median
Simran Mohnani, MBA ’26, and her sister Krsna Mohnani, MBA ’27, attended elementary school together in their native Malta. Decades later and half a world away, they became classmates again at Stanford GSB. Read more about the Mohnani sisters' two very different career paths here: https://t.co/y9TUBQpzz5
- Aug 13, 20263.1x their median
When David Rubenstein, co-founder of the Carlyle Group (@OneCarlyle), worked in Jimmy Carter's White House, he found a way to win arguments before they started. "Before I went home at midnight, I would just go into the Oval Office…and put my memo on the very top of the president's inbox so he'd read my memo first,” he recalls in a conversation with Sanil Rajput, MBA ’26. Listen to View From The Top: The Podcast: https://t.co/e8x6Nst3zw
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.
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Reading these numbers
A typical post picks up 19 interactions against 507K followers, an engagement rate of 0.004%. Measured over 49 original posts, its engagement rate beats 18% of 3,899 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 6.0K times each, and 0.319% of those impressions turn into an interaction. That is about 1.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 21:00 UTC, and Monday is the busiest day of the week. Of the 49 posts sampled, 20% carry an image or video and 94% link out. The account's strongest tracked post pulled 154 interactions, about 8.1x 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 0.004%, based on the median interactions across 49 original posts from the last 30 days against 507,081 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, Stanford Graduate School of Business sits above the 10th percentile of the 37,856 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 18% of the tracked X accounts closest to it in follower count (3,899 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 21:00 UTC, and Monday is its busiest day, at roughly 1.77 posts per day across the measured window.