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McKinsey & Company engagement report

@McKinsey - 661K followers on X

Measured over 47 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Middle of its size range
Per follower
0.008%
of 661K followers
Per impression
0.627%
8.3K views on a typical post
Reach
1.25%
of its followers see a post
Typical post
52
interactions (median)
Saved
0.181%
15 bookmarks on a typical post
Posting rate
1.67/day
active 90% of days
Peak time
12:00 UTC
Monday

A typical post picks up 52 interactions against 661K followers, an engagement rate of 0.008%. Measured over 47 original posts, its engagement rate beats 31% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 8.3K times each, and 0.627% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 47 posts sampled, 91% carry an image or video and 100% link out. The account's strongest tracked post pulled 681 interactions, about 13x its own typical post. Recurring topics include #climateweeknyc, #shapersandfounders.

Measured over 47 original posts from a 30-day window, last computed on October 4, 2026. Recurring tags: #climateweeknyc, #shapersandfounders.

Compared with accounts its own size

McKinsey & Company's engagement rate beats 31% of the tracked X accounts closest to it in follower count (20,444 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 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 0.008%, McKinsey & Company sits above the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 12:00 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.

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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video91% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 91% 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 273 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 13, 202613x their median

    AI is quickly becoming table stakes. The bigger question is how organizations redesign work around it. The companies making the most of AI are rethinking workflows, decisions, and roles end to end—not simply adding AI to the way work already gets done. https://t.co/iEP835ovdl https://t.co/eJeWwyrAG4

    538116161148K viewsView on X
  • Aug 10, 20265.9x their median

    The path to expertise is changing. As AI handles routine work, organizations are prioritizing judgment, creativity, and resilience—and rethinking how employees build them through coaching and real-world experience. https://t.co/fHQAVXo4WW https://t.co/8OsuD0yZHA

    2355810624K viewsView on X
  • Sep 6, 20265.7x their median

    The gap between spotting a sales opportunity and acting on it is closing in. AI can connect everything from customer signals and pricing to outreach and sales execution—helping teams turn decisions into action faster. https://t.co/X75NOaEYYL https://t.co/1NJOoTLZwY

    2176314119K viewsView on X
  • Sep 12, 20265.0x their median

    The race to scale humanoid robots may come down to something less obvious: the supply chain. Actuators and sensing systems are emerging as critical bottlenecks, making the right capacity and partnerships increasingly important as the market grows. https://t.co/IfUSUySsqq https://t.co/7dc0mtEkb3

    1825810917K viewsView on X
  • Aug 7, 20264.4x their median

    AI is moving fast. Human cognitive capacity isn't moving at the same speed. Building brain capital is becoming just as important as building AI—giving people the skills, focus, and decision-making capacity to keep pace. https://t.co/Cv0SspivZ4 https://t.co/eOraHvbU79

    161546620K viewsView on X
  • Aug 22, 20263.7x their median

    Japan’s investment challenge is not scale alone, but direction. Redirecting capital toward high-growth areas will be critical to lifting productivity and growth. @McKinsey_MGI outlines how Japan can make more strategic bets. https://t.co/MoPClwxvxC https://t.co/ea2SwlCEqQ

    136505215K viewsView on X
  • Aug 19, 20263.3x their median

    HR automation raises a bigger question: what should people spend their time doing when technology can handle more of the process? The answer will require rethinking roles, capabilities, and how HR creates value. https://t.co/7NscCYM3fO https://t.co/QcOiigYGWs

    1203512415K viewsView on X
  • Aug 15, 20263.3x their median

    Becoming AI-native takes more than deploying AI. At Indosat Ooredoo Hutchison, scaling AI meant rethinking data, ways of working, and business impact. The result? 2,000+ employees AI-certified and positive EBITDA impact in year one. https://t.co/Bin1WWj1hA https://t.co/z9otUSOrwP

    132313318K viewsView on X
  • Sep 14, 20263.2x their median

    📚 The ideas that shape leaders often start long before the boardroom. Discover the books we return to for fresh perspectives on leadership, AI, resilience, history, and more. https://t.co/PE93qV39wh https://t.co/0nJk7M3Dqn

    127353016K viewsView on X
  • Sep 14, 20262.9x their median

    AI can be widely available without being widely valuable. The difference is whether companies can turn access to the technology into changes in how work gets done—and measure whether those changes are creating value. https://t.co/8pl0UGjl8u https://t.co/yvdTUKWxTl

    1162213111K 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

#climateweeknyc#shapersandfounders

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 52 interactions against 661K followers, an engagement rate of 0.008%. Measured over 47 original posts, its engagement rate beats 31% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 8.3K times each, and 0.627% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 47 posts sampled, 91% carry an image or video and 100% link out. The account's strongest tracked post pulled 681 interactions, about 13x its own typical post. Recurring topics include #climateweeknyc, #shapersandfounders.

What is McKinsey & Company's engagement rate on X?
McKinsey & Company (@McKinsey) has an engagement rate of 0.008%, based on the median interactions across 47 original posts from the last 30 days against 660,879 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, McKinsey & Company sits above the 10th percentile of the 204,694 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 have real engagement?
Its engagement rate beats 31% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 post?
Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 1.67 posts per day across the measured window.

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