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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

Bottom quarter for its size
Per follower
0.002%
of 507K followers
Per impression
0.301%
3.0K views on a typical post
Reach
0.59%
of its followers see a post
Typical post
9
interactions (median)
Saved
0.034%
1 bookmarks on a typical post
Posting rate
1.33/day
active 67% of days
Peak time
17:00 UTC
Thursday

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 212,825 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,825 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.0%

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.

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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video14% of posts+111%+108% to +115%34K
Outbound link86% 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

    2797811919K viewsView on X
  • 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

    125242217K viewsView on X
  • 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

    83223110K viewsView on X
  • 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

    74180116K viewsView on X
  • 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

    61203210K viewsView on X
  • 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

    7015009.0K viewsView on X
  • 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

    6314417.8K viewsView on X
  • 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

    7092016K viewsView on X
  • 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

    59114016K viewsView on X
  • 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

    5214129.5K 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

#worldmentalhealthday

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 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 212,825 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.

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