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The Wharton School engagement report

@Wharton - 306K followers on X

Measured over 1 original post from a 30-day window, last computed on October 17, 2026.

Engagement

Per follower
0.021%
of 306K followers
Per impression
0.655%
9.9K views on a typical post
Reach
3.24%
of its followers see a post
Typical post
65
interactions (median)
Saved
0.101%
10 bookmarks on a typical post
Posting rate
0.33/day
active 33% of days
Peak time
16:00 UTC
Wednesday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 65 interactions against 306K followers, an engagement rate of 0.021%. Posts are seen about 9.9K times each, and 0.655% of those impressions turn into an interaction. That is about 3.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 134 interactions, about 2.1x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on October 17, 2026.

Where this sits in the catalog

At 0.021%, The Wharton School sits above the 10th percentile of the 212,741 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%
p9982.8%
Engagement rate as a share of followers, across the 212,741 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,375 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 percentile82.8%

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 16:00 UTC, and Wednesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 629 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

  • Sep 15, 20252.1x their median

    NEWS: We are launching the Dr. Bruce I. Jacobs Master of Science in Quantitative Finance, our first new degree offering in 50 years: https://t.co/yeSBKi2ScM The one-year #JacobsMSQF program is initially intended for @Penn students with a quantitative background and career aspirations in quantitative asset management and allied fields, with the application now open for the inaugural cohort starting Fall 2026. The program is funded by the generosity of philanthropist and #WhartonGrad Dr. Bruce I. Jacobs (G’79, GRW’86), whose latest gift of $60 million is the largest single gift in school history and builds upon his longstanding support of quantitative finance initiatives at Wharton. Learn more: https://t.co/nFnuyL7xam

    781736354K viewsView on X
  • Sep 23, 2026

    Sending a warm welcome to the talented group of new faculty members who've joined us on campus this school year. These impressive scholars bring extensive expertise and fresh perspectives to the classroom as well as their respective research fields and academic departments. They include: 🔹 Patrick Adams and Thomas Sargent, Finance Department 🔹 @RoryVanLoo, Legal Studies and Business Ethics Department 🔹 Roger Masclans and Jessica (Jess) Reif, Management Department 🔹 Craig Fernandes and Alex Moehring, Operations, Information, and Decisions Department 🔹 @ItsBradRoss, Real Estate Department 🔹 Sky Cao, Statistics Department

    559109.9K viewsView on X
  • Jul 20, 2026

    Last year, Americans wagered more than $160 billion on sports, a 23% jump from the year before and a figure that has ballooned 30-fold since the 2018 Supreme Court ruling that struck down a federal sports betting ban and let the apps flood in. Prof. @MichaelLouisPl1, Director of the Wharton Neuroscience Initiative (@WhartonBrain), spoke with @WhartonKnows about the biological basis of gambling amid the proliferation of online gambling sites: https://t.co/YdwMPIhNEg Testosterone, in particular, acts as a biological amplifier for risk-taking, especially in males. This hormonal effect “directly influences real-world behavior, making men more likely to desire luxury goods and take ‘wild gambles,’” says Prof. Platt. Time pressures and exhaustion can push it even further, a fact that isn’t lost on modern online gambling platforms. “What we’re seeing,” he adds, “is these platforms acting as hyper-stimulating substitutes for healthier, real-world interactions.”

    227913.5K viewsView on X
  • Jul 10, 2026

    Research co-authored by Prof. Daniel Taylor (@ProfAnalytics) helped influence the United States Congress to recently pass the Holding Foreign Insiders Accountable Act (HFIA): https://t.co/AnSUThjLlL When corporate insiders at U.S. companies sell their own stock, they are required to report it publicly within two business days. This was not the case for insiders at foreign companies listed on U.S. exchanges until Prof. Taylor – faculty lead of @WhartonAIAI's Forensic Analytics Lab – and his co-authors Robert J. Jackson, Jr. and Bradford Levy (@blynch41) provided the first systematic look at what that exemption was actually enabling.

    247313.9K viewsView on X
  • May 16, 2026

    Welcome to #WhartonGrad Day for the WEMBA Class of 2026! 🎓 Follow this thread for highlights from our first three-cohort graduating class ceremony taking place at the stunning Kimmel Center. For more graduation info, visit https://t.co/1hoWCsZv69 https://t.co/9r7kkNZA6y

    187304.0K viewsView on X
  • Jun 29, 2026

    Homeowners stuck with low fixed mortgage rates aren't just frozen in place — they're propping up the housing market, according to new research. @WhartonKnows highlights a paper co-authored by Prof. @luliu_fin, @giesbusiness's @JuliaAFonseca, and @INSEAD's Pierre Mabille, which argues that mortgage lock-in fuels housing demand due to missing downsizers — people in larger homes who would have sold and moved to something smaller: https://t.co/DTyK96vCuV The result is a net increase in housing demand, enough to offset about a third of the price decline that higher rates would otherwise have produced.

    154312.2K viewsView on X
  • Apr 7, 2026

    In 2026, Philadelphia is a primetime player on the world's sporting stage, hosting @MarchMadnessMBB, the @FIFAWorldCup, the @PGAChampionship, and the @MLB All-Star Game. But what will it take to translate such global attention into lasting economic impact? Join us April 28 live on LinkedIn for a panel discussion on how hosting major sporting events can influence local economies, featuring: 📚 Wharton Professor Kevin Kaiser 🏙️ @VisitPhilly's Angela Val 🏟️ @DiscoverPHL's Larry Needle ⚽️ @PhilaUnion's Tim McDermott Register here: https://t.co/7sTHrrL8aR

    176001.5K viewsView on X
  • Apr 1, 2026

    AI is becoming a significant part of our daily lives, shaping how we work, think, and make decisions. But as we increasingly rely on AI tools, we must ask: How does this impact our decision-making processes? Prof. @gidin and postdoctoral researcher @steveshaw2020 recently joined the @whartonknows Ripple Effect podcast to discuss their new research into cognitive surrender – the tendency to adopt AI outputs with minimal scrutiny, overriding human intuition and deliberation: https://t.co/4xiZgpf05q

    166011.1K viewsView on X
  • Jun 15, 2026

    The Wharton Neuroscience Initiative (@whartonbrain) and its Director @MichaelLouisPl1 are featured in @PBS's new documentary, “Wired for Connection.” In the documentary, which explores the positive impact friendship has on physical and mental health, Prof. Platt highlights the initiative's research into "synchrony," a phenomenon that occurs when brain activity aligns between people. Watch a segment of the documentary featuring Prof. Platt and the Wharton Neuroscience Initiative here: https://t.co/6gD2zDCYeV Watch the full documentary here: https://t.co/kyKN80VTfq

    146111.6K viewsView on X
  • Jun 11, 2026

    ⚽️As the 2026 @FIFAWorldCup kicks off today, #WhartonGrad Peter Tomozawa (WG’93) is getting ready to bring the beautiful game to the Pacific Northwest as CEO of the Seattle World Cup organizing committee. Ahead of Seattle’s six #FIFAWorldCup matches, Peter spoke with @WhartonMagazine about the simple business philosophy that has guided his career, the importance of building community, and his hopes for the legacy the tournament will leave behind in the city: https://t.co/3y7kUejatK

    72101.0K 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.

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Reading these numbers

A typical post picks up 65 interactions against 306K followers, an engagement rate of 0.021%. Posts are seen about 9.9K times each, and 0.655% of those impressions turn into an interaction. That is about 3.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 134 interactions, about 2.1x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is The Wharton School's engagement rate on X?
The Wharton School (@Wharton) has an engagement rate of 0.021%, based on the median interactions across 1 original posts from the last 30 days against 306,042 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, The Wharton School sits above the 10th percentile of the 212,741 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 @Wharton have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Wharton post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 0.33 posts per day across the measured window.

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