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VMware engagement report

@VMware - 312K followers on X

Measured over 34 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 312K followers
Per impression
0.308%
2.9K views on a typical post
Reach
0.93%
of its followers see a post
Typical post
9
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.6/day
active 60% of days
Peak time
16:00 UTC
Monday

A typical post picks up 9 interactions against 312K followers, an engagement rate of 0.003%. Measured over 34 original posts, its engagement rate beats 13% of 6,874 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 2.9K times each, and 0.308% of those impressions turn into an interaction. That is about 0.935% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 34 posts sampled, 88% carry an image or video and 94% link out. The account's strongest tracked post pulled 24 interactions, about 2.7x its own typical post. Recurring topics include #vmwareexplore, #vcf.

Measured over 34 original posts from a 30-day window, last computed on September 4, 2026. Recurring tags: #vmwareexplore, #vcf.

Compared with accounts its own size

VMware's engagement rate beats 13% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 20% 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 0.003%, VMware sits above the 10th percentile of the 66,393 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.5%

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 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%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%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 video88% of posts+111%+108% to +115%34K
Outbound link94% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 88% 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.
  • 94% 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 284 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

  • Aug 31, 20262.7x their median

    How do you stop autonomous AI agents from running unchecked? Today at #VMwareExplore, Broadcom unveiled AgentMinder:the first Agentic Fabric that unifies Identity, Security, and Observability. We're turning autonomous agents into governed, accountable "digital employees. More: https://t.co/dhKyBsdGvN

    172325.4K viewsView on X
  • Sep 1, 20262.3x their median

    Save the date: #VMwareExplore 2027 in Las Vegas is scheduled for May 3 – 6 at Resorts World Las Vegas! Pre-register before Sep. 30, 2026, to save an extra $100 off the Full Event Pass: https://t.co/ABgKb7qimx https://t.co/jE6bSqPzRs

    152047.1K viewsView on X
  • Aug 31, 20262.3x their median

    ⚙️ Introducing VMware AI Factory.⚙️ VMware AI Factory can cut your AI deployment time from weeks to hours & optimize AI tokenomics. Choose your favorite VCF AI ReadyNode from @Cisco @DellTech @Lenovo or @Supermicro; choose from 150+ AI models. #VMwareExplore https://t.co/A8NMTQ28bV

    145202.9K viewsView on X
  • Aug 29, 20261.9x their median

    🚀 #VMwareExplore starts Monday, Aug. 31! Pro tip: Bookmark our media kit – it will update with news, blogs, and photos all week ➡️ https://t.co/8iMXPJGoye Stay tuned here and follow Broadcom and VMware Explore for live coverage, starting Sunday. 👀

    123204.9K viewsView on X
  • Sep 3, 20261.7x their median

    From metal to model. On stage at #VMwareExplore, Paul Turner introduced the VMware AI Factory—combining automated GPU pooling, Model-as-a-Service, and enterprise guardrails on a single platform. Read more in his blog: https://t.co/U0MhWDthEU https://t.co/noUh4sURqX

    132003.9K viewsView on X
  • Sep 3, 20261.6x their median

    On stage at #VMwareExplore, Paul Turner announced VMware Private AI Cloud, a more secure, scalable, and flexible approach to AI that brings the model to the data, not the data to the model. See the press release: https://t.co/nb185g4sjD https://t.co/7Lzid91LCR

    112013.3K viewsView on X
  • Sep 2, 20261.6x their median

    AI agents are only trustworthy when you can trust the data behind them. At #VMwareExplore, we launched AI-ready data foundations in @VMwareTanzu Platform to help deliver data access, context, and lineage wherever your agents run. Learn more: https://t.co/7e1fdWWEzS https://t.co/3NAgr0UUzv

    83212.9K viewsView on X
  • Sep 1, 2026

    Paul Turner shares 3 key benefits of VMware AI Factory, unveiled yesterday at #VMwareExplore: ✅ Lower hardware costs ✅ Faster time to production AI ✅ Choice and governance of models See his blog for more details: https://t.co/U0MhWDthEU https://t.co/v1hZO7VWDb

    93013.3K viewsView on X
  • Aug 31, 2026

    Introducing VMware Private AI Cloud, where enterprise AI meets private cloud. Built on VCF, it delivers unified infrastructure so you can scale cost-effectively, operate securely, and innovate rapidly for the agentic AI era. Learn more: https://t.co/8iMXPJGoye #VMwareExplore https://t.co/LQbWmXhjYX

    72302.5K viewsView on X
  • Aug 30, 2026

    #VMwareExplore is this week! If your org is on an AI journey, see how to: 🔹 Scale cost-effectively 🔹 Operate securely 🔹 Innovate with agentic AI Catch @theCUBE live at https://t.co/vpq198Z0mM & see all recordings, press releases, etc in our media kit: https://t.co/8iMXPJGoye

    83104.0K 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

#vmwareexplore#vcf

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 9 interactions against 312K followers, an engagement rate of 0.003%. Measured over 34 original posts, its engagement rate beats 13% of 6,874 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 2.9K times each, and 0.308% of those impressions turn into an interaction. That is about 0.935% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 34 posts sampled, 88% carry an image or video and 94% link out. The account's strongest tracked post pulled 24 interactions, about 2.7x its own typical post. Recurring topics include #vmwareexplore, #vcf.

What is VMware's engagement rate on X?
VMware (@VMware) has an engagement rate of 0.003%, based on the median interactions across 34 original posts from the last 30 days against 311,865 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, VMware sits above the 10th percentile of the 66,393 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 @VMware have real engagement?
Its engagement rate beats 13% of the tracked X accounts closest to it in follower count (6,874 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 @VMware post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 1.6 posts per day across the measured window.

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