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VMware engagement report

@VMware - 311K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 311K followers
Per impression
0.323%
2.5K views on a typical post
Reach
0.8%
of its followers see a post
Typical post
8
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.57/day
active 43% of days
Peak time
18:00 UTC
Tuesday

A typical post picks up 8 interactions against 311K followers, an engagement rate of 0.003%. Measured over 13 original posts, its engagement rate beats 11% of 20,444 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 0.323% of those impressions turn into an interaction. That is about 0.796% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 13 posts sampled, 85% carry an image or video, 8% are part of a thread and 100% link out. The account's strongest tracked post pulled 28 interactions, about 3.5x its own typical post.

Measured over 13 original posts from a 30-day window, last computed on October 15, 2026. Recurring tag: #vmwareexplore.

Compared with accounts its own size

VMware's engagement rate beats 11% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 19% 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 below the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video85% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 85% 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.
  • 100% 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 253 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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, 20263.5x 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

    185503.8K viewsView on X
  • Aug 31, 20263.1x 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

    182325.6K viewsView on X
  • Sep 1, 20262.6x 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

    152047.3K viewsView on X
  • Sep 8, 20262.0x their median

    From days to minutes: See how @Audi transformed factory floor reliability with VCF. 🚗⚡ By shifting from legacy industrial hardware to a centralized, software-defined private cloud, Audi unified IT and production while cutting operational costs. More: https://t.co/94Z7QkJN71 https://t.co/BKaG925YVu

    160002.9K viewsView on X
  • Aug 29, 20262.0x 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. 👀

    113205.0K viewsView on X
  • Sep 3, 20261.9x 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

    132004.1K viewsView on X
  • Sep 2, 20261.9x 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

    83313.0K viewsView on X
  • Sep 3, 20261.8x 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

    112013.6K viewsView on X
  • Sep 23, 20261.6x their median

    Less time spent on routine IT maintenance = more time spent improving patient care. 🏥 See how @ImperialNHS uses VCF to streamline clinical workflows and accelerate digital transformation: https://t.co/y89ZEWlvIo https://t.co/XTRwhNEtBD

    111102.4K viewsView on X
  • Sep 21, 20261.6x their median

    Sunfire Technologies modernizes enterprise apps with VCF and VKS🚀 See how [3-minute video]: https://t.co/DLkMKMHXqg https://t.co/QFWxeAPkTj

    112003.2K 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

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 8 interactions against 311K followers, an engagement rate of 0.003%. Measured over 13 original posts, its engagement rate beats 11% of 20,444 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 0.323% of those impressions turn into an interaction. That is about 0.796% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 13 posts sampled, 85% carry an image or video, 8% are part of a thread and 100% link out. The account's strongest tracked post pulled 28 interactions, about 3.5x its own typical post.

What is VMware's engagement rate on X?
VMware (@VMware) has an engagement rate of 0.003%, based on the median interactions across 13 original posts from the last 30 days against 310,951 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 below the 10th percentile of the 204,956 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 11% of the tracked X accounts closest to it in follower count (20,444 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 18:00 UTC, and Tuesday is its busiest day, at roughly 0.57 posts per day across the measured window.

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