Back to @HPE's profile

HPE engagement report

@HPE - 94K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Bottom quarter for its size
Per follower
0.017%
of 94K followers
Per impression
0.597%
2.7K views on a typical post
Reach
2.86%
of its followers see a post
Typical post
16
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.17/day
active 93% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 16 interactions against 94K followers, an engagement rate of 0.017%. Measured over 35 original posts, its engagement rate beats 23% of 14,930 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 2.7K times each, and 0.597% of those impressions turn into an interaction. That is about 2.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 35 posts sampled, 46% carry an image or video and 9% link out. The account's strongest tracked post pulled 112 interactions, about 5.1x its own typical post.

Measured over 35 original posts from a 30-day window, last computed on September 19, 2026.

Compared with accounts its own size

HPE's engagement rate beats 23% of the tracked X accounts closest to it in follower count (14,930 accounts, accounts of similar size (decile 6 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 28% 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 0.017%, HPE sits above the 10th percentile of the 151,176 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.021%.

p100.003%
p250.021%
p50 (median)0.126%
p750.6%
p902.29%
p9984.3%
Engagement rate as a share of followers, across the 151,176 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 27,181 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 percentile0.003%
25th percentile0.021%
50th percentile0.126%
75th percentile0.6%
90th percentile2.29%
99th percentile84.3%

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 14:00 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.

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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video46% of posts+111%+108% to +115%34K
Outbound link9% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 46% 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.
  • 9% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 180 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

  • May 29, 20265.1x their median

    AI is driving the largest infrastructure buildout in history. Join HPE President and CEO Antonio Neri as he explores why the network sits at the center of today's unprecedented AI opportunity. https://t.co/yN1n1dtISw

    6219292129K viewsView on X
  • Sep 3, 20263.3x their median

    Breaking news. 🚨 Built on more than a decade of engineering work, we're expanding our collaboration with @Oracle to bring HPE Juniper Networking to AI data centers around the world. Get the details.

    32136234K viewsView on X
  • Sep 2, 20263.3x their median

    $HPE announces record-breaking results for Q3 FY26 as demand surges across the HPE portfolio. With record demand heading into Q4, we are raising our FY26 and FY27 outlook. Read the press release. https://t.co/Si0nvZmX2q https://t.co/5BLNJB0iSS

    3710324.0K viewsView on X
  • Aug 15, 20263.0x their median

    We asked HPE experts for their take on some of the hottest trends in tech. 🔥 From quantum to digital twins, here's one expert's take on what these technologies mean for the future of enterprise AI. https://t.co/TaHRC2DWNo

    3611107.2K viewsView on X
  • Aug 16, 20262.9x their median

    The AI conversation has moved beyond models. Today's questions are about resilience, sovereignty, and who gets to shape the future. 💡 From London Tech Week 2026, HPE’s Matt Harris discusses why capability and collaboration must go hand in hand.

    431126.9K viewsView on X
  • Sep 13, 20262.4x their median

    Celebrating legacy, but make it compute. 🦾 The Cray-1 supercomputer was history in the making 50 years ago. This year, it's commemorated on a U.S. Mint coin. https://t.co/U63TVBOV2j

    283703.3K viewsView on X
  • Aug 17, 20262.0x their median

    Automation was a good start. 🦾 But the AI era requires something more: networks that don’t just follow instructions, but can observe, reason, decide, act, and learn. The future is self-driving. See what that means.

    260604.8K viewsView on X
  • Aug 8, 20261.9x their median

    The next era of computing will bring quantum and classical systems together. 🤝 HPE and @rigetti, are partnering to make that future a reality through a new hybrid supercomputing testbed. ⚡

    164658.6K viewsView on X
  • Jul 22, 20261.9x their median

    Is Zero Trust a buzzword or a basic necessity for all systems? HPE’s Jaye Tillson has the answer on Technology Now.

    203268.5K viewsView on X
  • Sep 2, 20261.9x their median

    $HPE reports record Q3 FY26 results, exceeding all company-wide financial commitments in a quarter that shows the durability of our profitable growth. https://t.co/xHBNclQ5Px https://t.co/tjCucpXdud

    237003.0K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 16 interactions against 94K followers, an engagement rate of 0.017%. Measured over 35 original posts, its engagement rate beats 23% of 14,930 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 2.7K times each, and 0.597% of those impressions turn into an interaction. That is about 2.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 35 posts sampled, 46% carry an image or video and 9% link out. The account's strongest tracked post pulled 112 interactions, about 5.1x its own typical post.

What is HPE's engagement rate on X?
HPE (@HPE) has an engagement rate of 0.017%, based on the median interactions across 35 original posts from the last 30 days against 93,880 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, HPE sits above the 10th percentile of the 151,176 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 @HPE have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (14,930 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 @HPE post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.17 posts per day across the measured window.

Keep going