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McKinsey & Company

@McKinsey · Global · joined 21 Apr 2009

Since 1926, the trusted advisor to the world's leading businesses, governments, and institutions. 130+ offices in 65+ countries.

660 928Followers
1 138Following
49 138Posts total
48.3KViews on collected posts

Against accounts of the same size

11 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.

Median views38this account12 273median for 100K–1M
Reach, %0.01%this account3.89%median for 100K–1M
Engagement, %0.59%this account1.25%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post3812 2730.00×
Reach (views ÷ followers)0.01%3.89%0.00×
Engagement rate0.59%1.25%0.47×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

11.9K31 Aug
10.7K1 Sep
7
31
14
6.4K
11.9K2 Sep
11
38
7.3K
9

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.59%31 Aug
0.47%1 Sep
0.00%
6.45%
0.00%
0.67%
0.95%2 Sep
0.00%
2.63%
1.22%
0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.25%.

What the audience does

Likes51.2%259 in total
Reposts15.2%77 in total
Replies4.0%20 in total
Quotes2.4%12 in total
Bookmarks27.3%138 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

@McKinsey The operating question is not simply whether a human is in or out of the loop. Leaders should define which decisions require human judgment, what evidence triggers escalation, and who owns correction when the system encounters an exception. Those boundaries belong in th 9 views · 0 likes · 0 reposts · 0 replies 02 Sep 2026 AI transformation doesn’t move at the speed of the technology alone. It moves when people understand the change, see a future in it, and trust leaders to navigate the uncertainty. https://t.co/Cpoplb8lBd https://t.co/yzQ94VErxf 7.3K views · 58 likes · 21 reposts · 8 replies 02 Sep 2026 @McKinsey Actually very helpful 38 views · 1 likes · 0 reposts · 0 replies 02 Sep 2026 @McKinsey Absolutely. Responsible AI adoption starts with clearly defining the boundaries of autonomy. In the public sector, keeping human judgment at the right points is essential for trust, accountability, and better outcomes. 11 views · 0 likes · 0 reposts · 0 replies 02 Sep 2026 AI autonomy is a design decision, not just a technology decision. For public-sector agencies, the key is deciding early where AI can take the lead and where human judgment needs to stay in the loop—before those systems reach residents. https://t.co/amuoNV6SVZ https://t.co/RCTz7sh 11.9K views · 82 likes · 24 reposts · 3 replies 02 Sep 2026 Growth opportunities don’t always show up in the topline numbers. At Reckitt, AI is helping teams turn store-level data into specific actions—giving them a more precise way to see what’s working, respond to local conditions, and execute for growth. https://t.co/TByE9exLj7 https 6.4K views · 32 likes · 11 reposts · 0 replies 01 Sep 2026 @McKinsey https://t.co/uXDWj8j3sd 14 views · 0 likes · 0 reposts · 0 replies 01 Sep 2026 @McKinsey That's a great perspective and a significant opportunity for those who adapt to seize these chances. 31 views · 2 likes · 0 reposts · 0 replies 01 Sep 2026 @McKinsey The finding worth reading twice: customers rank better product detail and pricing (14%, 12%) above faster delivery (8%). Distributors keep funding logistics speed when customers are naming a data problem: specs, pricing accuracy, range. Cheaper to fix than another wareh 7 views · 0 likes · 0 reposts · 0 replies 01 Sep 2026 AI is powered by data, but transformation depends on people. Building the right mindset, from continuous learning to experimentation, is what turns AI investment into lasting impact. https://t.co/jWskEIU03b https://t.co/rdnf4hxlDV 10.7K views · 35 likes · 7 reposts · 4 replies 01 Sep 2026 AI is changing how distributors think about category management. Instead of relying mostly on what happened in the past, teams can use real-time pricing, supplier, and customer signals to spot opportunities and act while they still matter. https://t.co/JMvPX970aS https://t.co/Qs 11.9K views · 49 likes · 14 reposts · 5 replies 31 Aug 2026

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