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McKinsey & Company engagement report

@McKinsey - 661K followers on X

Measured over 38 original posts from a 30-day window, last computed on August 25, 2026.

Engagement

Middle of its size range
Per follower
0.009%
of 661K followers
Per impression
0.525%
12K views on a typical post
Reach
1.80%
of its followers see a post
Typical post
62
interactions (median)
Saved
0.172%
20 bookmarks on a typical post
Posting rate
1.33/day
active 67% of days
Peak time
16:00 UTC
Friday

A typical post picks up 62 interactions against 661K followers, an engagement rate of 0.009%. Measured over 38 original posts, its engagement rate beats 33% of 3,848 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 12K times each, and 0.525% of those impressions turn into an interaction. That is about 1.80% 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 16:00 UTC, and Friday is the busiest day of the week. Of the 38 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 309 interactions, about 5.0x its own typical post.

Measured over 38 original posts from a 30-day window, last computed on August 25, 2026. Recurring tag: #sustainableinclusivegrowth.

Compared with accounts its own size

McKinsey & Company's engagement rate beats 33% of the tracked X accounts closest to it in follower count (3,848 accounts, accounts of similar size (decile 8 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 & Company sits above the 10th percentile of the 37,320 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.436%
p902.10%
p99160.1%
Engagement rate as a share of followers, across the 37,320 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,750 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.436%
90th percentile2.10%
99th percentile160.1%

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 Friday 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 6%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%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%62K
09:00 UTC-3%71K
10:00 UTC-2%74K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%97K
14:00 UTC-4%100K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-3%93K
18:00 UTC-2%87K
19:00 UTC-2%82K
20:00 UTC-1%76K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%235K
Monday0%296K
Tuesday-3%292K
Wednesday-1%254K
Thursday-2%248K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 10, 20265.0x 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
  • Aug 7, 20263.7x 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, 20263.1x 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

    134495215K viewsView on X
  • Aug 19, 20262.8x 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, 20262.7x 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
  • Aug 12, 20262.3x their median

    As AI models move deeper into the business, yesterday’s model risk playbook may no longer be enough. Banks are rethinking governance to address AI’s distinct risks while keeping adoption moving at speed—building resilience and confidence to scale AI. https://t.co/zMhebSzgg8 https://t.co/B3NjgvMAsB

    105269114K viewsView on X
  • Aug 14, 20262.2x their median

    AI is helping FP&A move from reporting what happened to acting on what’s changing. By surfacing anomalies earlier and refreshing forecasts faster, it gives finance teams more time to shape decisions before issues reach the bottom line. https://t.co/aZjKpEAhmA https://t.co/UDPkSjkGSN

    106253116K viewsView on X
  • Aug 9, 20262.1x their median

    📚 The ideas that shape leaders often start long before the boardroom. This National Book Lovers Day, we're sharing the books we return to for fresh perspectives on leadership, AI, resilience, and more. https://t.co/Ac8vPzrG28 https://t.co/rzVp3Zkva2

    88356217K viewsView on X
  • Aug 6, 20262.1x their median

    AI doesn't create impact on its own. Organizations do. The biggest opportunities are emerging in grant writing and communications, but lasting value comes from redesigning work around the mission—not simply adding new tools. https://t.co/cAnu7tZSEn https://t.co/Svr8YqvxzW

    89307213K viewsView on X
  • Aug 21, 20261.8x their median

    The chips get the headlines. The electricity bill decides the economics. Powering a 100-megawatt AI data center can cost nearly twice as much in London as in China, about $380 versus $200 per megawatt-hour. But cost is only part of the story. https://t.co/3v1M1Qfc48 https://t.co/Ut7wY3lRCO

    77294314K 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

#sustainableinclusivegrowth

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 62 interactions against 661K followers, an engagement rate of 0.009%. Measured over 38 original posts, its engagement rate beats 33% of 3,848 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 12K times each, and 0.525% of those impressions turn into an interaction. That is about 1.80% 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 16:00 UTC, and Friday is the busiest day of the week. Of the 38 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 309 interactions, about 5.0x its own typical post.

What is McKinsey & Company's engagement rate on X?
McKinsey & Company (@McKinsey) has an engagement rate of 0.009%, based on the median interactions across 38 original posts from the last 30 days against 660,923 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.009%, McKinsey & Company sits above the 10th percentile of the 37,320 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 33% of the tracked X accounts closest to it in follower count (3,848 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 16:00 UTC, and Friday is its busiest day, at roughly 1.33 posts per day across the measured window.

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