PwC engagement report
@PwC - 204K followers on X
Measured over 23 original posts from a 30-day window, last computed on October 7, 2026.
Engagement
A typical post picks up 13 interactions against 204K followers, an engagement rate of 0.006%. Measured over 23 original posts, its engagement rate beats 17% of 15,519 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 2.5K times each, and 0.51% 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 0.77 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 100% carry an image or video and 96% link out. The account's strongest tracked post pulled 32 interactions, about 2.5x its own typical post. Recurring topics include #ai, #aijobsbarometer, #automotive.
Measured over 23 original posts from a 30-day window, last computed on October 7, 2026. Recurring tags: #ai, #aijobsbarometer, #automotive.
Compared with accounts its own size
PwC's engagement rate beats 17% of the tracked X accounts closest to it in follower count (15,519 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 27% 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 0.006%, PwC sits above the 10th percentile of the 157,233 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 06:00 UTC, and Wednesday 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 96% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 96% 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 496 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
- Jul 27, 20262.5x their median
The race for AI advantage is increasingly becoming a race for talent. Our 2026 Global AI Jobs Barometer found that workers with AI skills now command a wage premium, while hiring for AI specialist roles has grown 68.9% year over year. Explore the full findings in our 2026 Global #AIJobsBarometer: https://t.co/XHJwUrssTD
- Aug 25, 20262.4x their median
62% of investors already use AI to analyse company filings and earnings call transcripts. But #AI doesn't read like a human. It identifies signals through structure, terminology and explicit connections, and may overlook nuance, context or qualifications. As AI increasingly shapes investment and regulatory decisions, organisations need to think beyond what they disclose and consider how those disclosures are interpreted at scale. Explore what happens when AI becomes the reader: https://t.co/Dt3HmFXZBk
- Aug 4, 20262.3x their median
š£ļø Today we launch our inaugural CEO Survey Mid-Year Snapshot, looking at how executive sentiment and business priorities have shifted amid rapidly evolving geopolitical and economic conditions. The survey of hundreds of CEOs across more than 50 countries and territories finds overall confidence in revenue growth has remained unchanged over the past six to eight months, even as executives report significant operational challenges stemming from global shocks. Watch the video for some of the key insights, and explore the full report here: https://t.co/nRwCUZbPB3 #CEOSurvey
- Jul 3, 20261.9x their median
AI is no longer just changing how companies prepare reports. It's changing how those reports are read. Investors, regulators, rating agencies and other stakeholders are already using AI to analyse disclosures, compare companies and inform decisions at scale. But AI doesn't read like a human. It extracts signals from structure, terminology and explicit connections, and may miss nuance, context or caveats. Find out more about what happens when #AI becomes a reader of corporate reporting and how companies can start building reporting practices that are clearer, more consistent and more resilient to machine interpretation: https://t.co/Dt3HmFXZBk
- Sep 11, 20262.1x their median
What if energy security becomes one of the biggest business challenges of our time? From virtual power plants and digital grids to AI-enabled energy systems, collaboration across energy, technology, manufacturing and finance is creating new models for resilience and growth. Together with @econ_enterprise we're exploring how human moments of problem-solving, powered by technology, are reinventing how we fuel and power. Explore the full story: https://t.co/vdPc9hnph7 #LivesInMotion
- Jul 1, 20261.8x their median
Skills in AI-exposed jobs are changing 2x faster than in less exposed roles. As routine work declines, demand is shifting to judgement, creativity and empathy. The organisations that move fastest will rethink skills at speed. Explore more in our 2026 Global #AIJobsBarometer: https://t.co/XHJwUrssTD #AIJobs #AI #FutureOfWork
- Sep 21, 20261.9x their median
What if the future of work isn't about fewer jobs, but different jobs? Our 2026 Global AI Jobs Barometer reveals two futures for jobs in an AI era. As AI reshapes work, demand is growing for distinctly human skills such as creativity, judgement and leadership, with the strongest organisations redesigning work to unlock new value. Explore the findings and discover the impact for AI-powered growth: https://t.co/XHJwUrssTD #AIJB #AIJobsBarometer
- Sep 18, 20261.9x their median
The next wave of value in data centres may not come from owning them. Even as the data centre boom is creating a US$5.1 trillion opportunity, not every participant will capture value. Organisations with access to power, land, capital, engineering expertise or trusted local relationships could hold the strongest positions. The challenge for business leaders is identifying where they have a genuine right to win. Explore the strategic choices shaping the future of the data centre economy: https://t.co/TPw4UxmqMq #DataCentres #AI #Infrastructure
- Jun 26, 20261.7x their median
š¤ How can organisations turn AI investment into real business value? We caught up with leaders from across the PwC network at @VivaTech in Paris last week to explore the conversations shaping the future of technology. While AI continues to dominate agendas, the discussion has evolved beyond the technology itself. From sovereignty and scaling innovation to helping organisations focus their investments, the emphasis is increasingly on how businesses can translate AI ambition into tangible outcomes. One theme came through consistently: success with AI is about more than tools. Organisations making the greatest progress are combining clear strategy, strong leadership, workforce transformation and the right culture to unlock value. As AI becomes increasingly embedded in everyday business, attention is shifting to what's next: from robotics and quantum computing to the broader ecosystem of technologies reshaping industries. š£ļø Hear from our leaders as they share their perspectives on the opportunities and challenges shaping the future of AI and emerging technology š #VivaTech #AI
- Oct 5, 20261.8x their median
Most organisations have adopted #AI. The real question is: how many are using it to accelerate business. AI leaders are achieving 7.2x greater revenue and efficiency outcomes than their peers by using AI to reshape how they create value, uncover new opportunities and strengthen competitive advantage. Discover what separates AI-fit organisations from the rest: https://t.co/TohDtrnjyv #BusinessTransformation #Leadership
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
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 13 interactions against 204K followers, an engagement rate of 0.006%. Measured over 23 original posts, its engagement rate beats 17% of 15,519 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 2.5K times each, and 0.51% 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 0.77 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 100% carry an image or video and 96% link out. The account's strongest tracked post pulled 32 interactions, about 2.5x its own typical post. Recurring topics include #ai, #aijobsbarometer, #automotive.
- What is PwC's engagement rate on X?
- PwC (@PwC) has an engagement rate of 0.006%, based on the median interactions across 23 original posts from the last 30 days against 204,053 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.006%, PwC sits above the 10th percentile of the 157,233 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 @PwC have real engagement?
- Its engagement rate beats 17% of the tracked X accounts closest to it in follower count (15,519 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 @PwC post?
- Most posts go out around 06:00 UTC, and Wednesday is its busiest day, at roughly 0.77 posts per day across the measured window.