Harvard Business Review engagement report
@HarvardBiz - 5.5M followers on X
Measured over 588 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 22 interactions against 5.5M followers, an engagement rate of 0%. Posts are seen about 12K times each, and 0.178% of those impressions turn into an interaction. That is about 0.222% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 19.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Saturday is the busiest day of the week. Of the 588 posts sampled, 14% carry an image or video and 99% link out. The account's strongest tracked post pulled 349 interactions, about 16x its own typical post.
Measured over 588 original posts from a 30-day window, last computed on October 25, 2026.
Where this sits in the catalog
At under 0.001%, Harvard Business Review sits below the 10th percentile of the 204,491 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 Saturday 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 | 99% 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.
- 99% 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 207 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
- Sep 12, 202616x their median
There are five types of intelligence that aspiring board members need to cultivate: 1. Financial fundamentals 2. Strategic thinking 3. Relationship building 4. Understanding your role 5. Cultural awareness https://t.co/Xzi9XoJo9w
- Sep 24, 202613x their median
The demands on a CEO’s time can be endless. As the former CEO of Disney, Robert Iger had a simple test for deciding what deserved his attention: Will my involvement make a difference? He prioritized the responsibilities only he could handle, major decisions affecting the business or its brand, and work where he could add unique value. Everything else was a candidate for delegation. Iger shares more lessons from leading Disney in a conversation with Nitin Nohria, former dean of Harvard Business School, including how he approached high-stakes decisions, creative excellence, and the pressures of running an iconic company. Watch the full interview: https://t.co/bighswww4N
- Sep 3, 202611x their median
As AI becomes better at mimicking human thought, it becomes easier to hand over parts of our thinking without fully realizing it. The tools can also lead to a false sense of intellectual rigor when they lavish praise on any prompt. In Marc Zao-Sanders latest analysis of 12,637 real-world AI use cases, he found that at least a quarter of the top uses involved asking AI to do some portion of the user’s thinking, from relationship advice and decision-making to drafting emails and generating ideas. He also found that when used as an intellectual foil—to challenge assumptions, broaden horizons, consider counterarguments—AI can sharpen people’s thinking. What AI use cases help or hurt a leader's expertise? And where do organizations still need to prioritize human intelligence? Read “How People Are Really Using AI in 2026”: https://t.co/UCXSIlkxAJ
- Sep 12, 20267.4x their median
The average age of people who founded high-growth startups is actually 45. https://t.co/zWEJeAiEkX
- Sep 29, 20266.1x their median
Millions of ambitious professionals aspire to become CEO, drawn by the chance to shape organizations and influence entire industries. Yet the day-to-day realities of the role often remain hidden, including why some leaders thrive while others struggle. Drawing on decades of research and firsthand work with hundreds of CEOs through @HarvardHBS New CEO Workshops, Nitin Nohria examines what leadership at the highest level actually entails. In “The CEO,” he explores how leaders set direction and allocate resources, while also shaping culture and managing stakeholders. He also examines one of the role's enduring challenges: knowing when to preserve continuity and when to pursue change. Pick up your copy at the link in the comments.
- Aug 18, 20265.8x their median
In the perennial bestseller “Blue Ocean Strategy,” W. Chan Kim and Renée Mauborgne challenge everything you thought you knew about the requirements for strategic success. Lasting success, they argue, comes not from battling competitors but from creating “blue oceans”—untapped market spaces ripe for growth. The 20th-anniversary edition of “Blue Ocean Strategy” includes: • A new preface by the authors highlighting the book's enduring impact and newfound timeliness in the age of AI • New case studies on NVIDIA and Taylor Swift • A curated list of over fifty blue-ocean cases across industries and geographies Pick up your copy of this edition today at the link in the comments.
- Sep 21, 20265.2x their median
How to cool yourself down if you get worked up: 1. Breathe. 2. Focus on your body. 3. Say a mantra. 4. Acknowledge and label your feelings. 5. Take a break. https://t.co/MKXkfrrEll
- Oct 17, 20265.0x their median
The essence of strategy is choosing a unique and valuable position rooted in activities that your competitors can't match. https://t.co/gm07PoNb1G
- Oct 14, 20265.0x their median
There are five types of questions you should ask during strategic decision-making: investigative, speculative, productive, interpretive, and subjective. https://t.co/9Iz3t2xIUh
- Oct 7, 20264.7x their median
Optimism isn’t about ignoring problems or pretending everything will work out. It’s about acknowledging challenges while believing that your actions can still make a difference. Psychologist and researcher Michelle Gielan says leaders can cultivate that mindset in themselves and their teams and argues that, when they do, it creates a powerful performance advantage. Drawing on an 11-year dataset of more than 25,000 business professionals, she shares research linking optimism to higher productivity, sales, engagement, and lower burnout. 🎧 Listen on IdeaCast here: https://t.co/8RsXlGlNOg
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.
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 22 interactions against 5.5M followers, an engagement rate of 0%. Posts are seen about 12K times each, and 0.178% of those impressions turn into an interaction. That is about 0.222% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 19.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Saturday is the busiest day of the week. Of the 588 posts sampled, 14% carry an image or video and 99% link out. The account's strongest tracked post pulled 349 interactions, about 16x its own typical post.
- What is Harvard Business Review's engagement rate on X?
- Harvard Business Review (@HarvardBiz) has an engagement rate of 0%, based on the median interactions across 588 original posts from the last 30 days against 5,548,936 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At under 0.001%, Harvard Business Review sits below the 10th percentile of the 204,491 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 @HarvardBiz have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @HarvardBiz post?
- Most posts go out around 16:00 UTC, and Saturday is its busiest day, at roughly 19.77 posts per day across the measured window.