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KPMG engagement report

@KPMG - 415K followers on X

Measured over 1 original post from a 30-day window, last computed on August 30, 2026.

Engagement

Per follower
0.001%
of 415K followers
Per impression
0.149%
2.7K views on a typical post
Reach
0.65%
of its followers see a post
Typical post
4
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
13:00 UTC
Tuesday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 4 interactions against 415K followers, an engagement rate of 0.001%. Posts are seen about 2.7K times each, and 0.149% of those impressions turn into an interaction. That is about 0.647% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 101 interactions, about 25x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on August 30, 2026.

Where this sits in the catalog

At 0.001%, KPMG sits below the 10th percentile of the 37,856 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%
p750.439%
p902.10%
p99155.6%
Engagement rate as a share of followers, across the 37,856 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 97,248 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 percentile0.439%
90th percentile2.10%
99th percentile155.6%

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 13:00 UTC, and Tuesday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 13:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 22, 202525x their median

    Enagás Renovable is paving the way toward a sustainable energy future by championing renewable gases. They worked with KPMG in Spain to implement @SAP Cloud ERP Public which helped transform their operations and enable seamless integration. Read the success story: https://t.co/wHrOXjfh5e

    551615155.9K viewsView on X
  • Oct 6, 202525x their median

    Despite economic uncertainty, CEOs remain optimistic in their organization's outlook — investing in AI, talent and transformation to lead through disruption. The new normal? Confident resilience. Find out more in KPMG's 2025 Global #CEOoutlook report: https://t.co/Z2Qcz25KWU https://t.co/8oZwhOMlKz

    5310162126K viewsView on X
  • Aug 22, 202524x their median

    #AI is changing the game, and KPMG and @Salesforce Agentforce are helping organizations stay ahead. From streamlining service to delivering personalized customer experiences, we’re helping businesses turn customer insights into real action. Discover more through the KPMG and Salesforce alliance: https://t.co/YVNocjdV43

    451317195.9K viewsView on X
  • Jul 22, 202522x their median

    Industry leaders from KPMG, TD Bank and CommBank discuss how AI tools are ushering in a new age of personalized banking. Watch now: https://t.co/g62IOFECCu Produced by Reuters Plus for KPMG. https://t.co/exxE2wGRTD

    461313167.4K viewsView on X
  • Jul 16, 202521x their median

    Operational and cost transformation is at the top of the banking agenda, yet only 24% have been highly successful in achieving their cost reduction goals, and only 18% have been highly successful in achieving their transformation goals. Discover what it takes to achieve success in KPMG’s latest report Banking transformation: The new agenda. https://t.co/Uz5B1Wmmbi

    42814186.8K viewsView on X
  • Jul 15, 202520x their median

    How can AI help banks, clients, and customers make better decisions? Hear KPMG and UBS discuss what the future looks like with AI in banking: https://t.co/mZ8fJNHOMX Produced by Reuters Plus for KPMG. https://t.co/AndsUUOWrP

    48119124.6K viewsView on X
  • Jul 1, 202519x their median

    How can tech firms best adapt to AI transformation? Hear industry leaders from KPMG and Microsoft explain: https://t.co/Oacb3tluM5 Produced by Reuters for KPMG. https://t.co/uKV7Jyqidd

    41187105.4K viewsView on X
  • Sep 12, 202516x their median

    To help Oslo University Hospital make space for growing surgical demand, KPMG and @ServiceNow developed a tech solution to streamline patient flow and scheduling, allowing healthcare professionals to concentrate on what matters most—providing exceptional patient care. Learn more: https://t.co/fx66KwNxyr

    3469146.4K viewsView on X
  • Oct 14, 202512x their median

    KPMG is proud to receive three 2025 Oracle Partner Awards, as a top SaaS Service Partner across Enterprise Resource Planning (ERP), Fusion Applications and Human Capital Management (HCM). KPMG firms and @Oracle are helping clients achieve enterprise-wide transformation, while providing the foundations essential to thrive in a data and AI-driven future. Learn more: https://t.co/KUDX8lemBx

    2477105.7K viewsView on X
  • Mar 26, 20265.8x their median

    Rapid technological change is expanding the range of #cyber challenges, from geopolitics and supply chain disruption to AI and non-human identities. The seventh annual Cybersecurity considerations report, examines the impact of eight key cyber priorities, and explores how organizations can address the many threats, to transform and grow. Download the report: https://t.co/tI8ktaA5dX

    129202.1K 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.

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Reading these numbers

A typical post picks up 4 interactions against 415K followers, an engagement rate of 0.001%. Posts are seen about 2.7K times each, and 0.149% of those impressions turn into an interaction. That is about 0.647% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 101 interactions, about 25x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is KPMG's engagement rate on X?
KPMG (@KPMG) has an engagement rate of 0.001%, based on the median interactions across 1 original posts from the last 30 days against 415,480 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, KPMG sits below the 10th percentile of the 37,856 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 @KPMG have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @KPMG post?
Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 0.03 posts per day across the measured window.

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