McKinsey Global Institute engagement report
@McKinsey_MGI - 207K followers on X
Measured over 80 original posts from a 30-day window, last computed on October 7, 2026.
Engagement
A typical post picks up 18 interactions against 207K followers, an engagement rate of 0.009%. Measured over 80 original posts, its engagement rate beats 22% of 20,444 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 2.2K times each, and 0.779% of those impressions turn into an interaction. That is about 1.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 16:00 UTC, and Sunday is the busiest day of the week. Of the 80 posts sampled, 85% carry an image or video and 100% link out. The account's strongest tracked post pulled 538 interactions, about 30x its own typical post.
Measured over 80 original posts from a 30-day window, last computed on October 7, 2026.
Compared with accounts its own size
McKinsey Global Institute's engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 36% 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 0.009%, McKinsey Global Institute sits above the 10th percentile of the 205,676 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 | 0.679% |
| 90th percentile | 2.56% |
| 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 Sunday 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 | 85% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 85% 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.
- 100% 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 293 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 11, 202630x their median
AI capabilities are advancing exponentially by some measures. Infrastructure builds more linearly. Organizations can take years to change. The result: bottlenecks, risks, and opportunities. New MGI research maps the AI economy as an interconnected system: https://t.co/MQbYD8Lyxa
- Sep 13, 202622x their median
AI capabilities are advancing exponentially by some measures. Infrastructure builds more linearly. Organizations can take years to change. The result: bottlenecks, risks, and opportunities. New MGI research maps the AI economy as an interconnected system: https://t.co/MQbYD8Lyxa
- Sep 13, 202617x their median
AI won’t make most human skills obsolete, but it will change how they’re used. Negotiation, problem solving, and leadership will matter more than ever as people work alongside agents and robots. Our new Skill Change Index shows which skills will be most, and least, exposed to automation in the next five years: https://t.co/fRXfHF1k56
- Oct 5, 202616x their median
AI capabilities are advancing exponentially by some measures. Infrastructure builds more linearly. Organizations can take years to change. The result: bottlenecks, risks, and opportunities. New MGI research maps the AI economy as an interconnected system: https://t.co/MQbYD8Lyxa
- Sep 12, 20269.7x their median
Faster chips. More capital. Better models. None guarantees better outcomes if the constraint lies elsewhere. Our new framework looks at AI as an interconnected system – from capabilities and resources to adoption and outcomes. https://t.co/STm49x5Tw1 https://t.co/oPJm02dW10
- Oct 3, 20269.4x their median
The latest Economic Conditions Outlook from @McKinsey out. In this edition: Executives’ economic pessimism has eased since June, but they remain cautious. Negative views continue to be more common than positive ones, and expectations for the next six months are mixed. Take a deeper dive: https://t.co/FlxG6e8DXX
- Oct 4, 20268.3x their median
The chips get the headlines. The electricity bill decides the economics. Same data center: $200/MWh in China, $380 in London. Explore the investment case: https://t.co/KNq13bSKU0 https://t.co/8acbPNMjL6
- Sep 12, 20266.3x their median
US data center investment is up ~200% since late 2022. Outside AI, productive investment has stayed flat. China adds $4.4T in net productive assets a year, 4x the US. Our new report on where investment happens and why: https://t.co/rpxAZsC2uD https://t.co/CRuYHk7Uyn
- Sep 13, 20266.2x their median
AI is moving fast. But not everything around it is. Capabilities can advance exponentially, while infrastructure takes years to build and organizations can take even longer to adapt. Leaders will need to manage at multiple speeds: https://t.co/STm49x5Tw1 https://t.co/OqLXk9gmtY
- Sep 10, 20264.4x their median
By 2030, automation could unlock $450 billion in annual economic value across Latin America. Capturing it will depend less on new tech breakthroughs – and more on how we redesign workflows and how quickly human skills adapt. Learn more: https://t.co/qMHmWgVF1q https://t.co/RJB3qEAyPB
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 18 interactions against 207K followers, an engagement rate of 0.009%. Measured over 80 original posts, its engagement rate beats 22% of 20,444 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 2.2K times each, and 0.779% of those impressions turn into an interaction. That is about 1.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 16:00 UTC, and Sunday is the busiest day of the week. Of the 80 posts sampled, 85% carry an image or video and 100% link out. The account's strongest tracked post pulled 538 interactions, about 30x its own typical post.
- What is McKinsey Global Institute's engagement rate on X?
- McKinsey Global Institute (@McKinsey_MGI) has an engagement rate of 0.009%, based on the median interactions across 80 original posts from the last 30 days against 206,986 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.009%, McKinsey Global Institute sits above the 10th percentile of the 205,676 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 @McKinsey_MGI have real engagement?
- Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 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 @McKinsey_MGI post?
- Most posts go out around 16:00 UTC, and Sunday is its busiest day, at roughly 2.67 posts per day across the measured window.