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Oracle engagement report

@Oracle - 829K followers on X

Measured over 19 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Middle of its size range
Per follower
0.007%
of 829K followers
Per impression
0.599%
10K views on a typical post
Reach
1.23%
of its followers see a post
Typical post
61
interactions (median)
Saved
0.02%
2 bookmarks on a typical post
Posting rate
0.97/day
active 57% of days
Peak time
14:00 UTC
Friday

A typical post picks up 61 interactions against 829K followers, an engagement rate of 0.007%. Measured over 19 original posts, its engagement rate beats 30% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 10K times each, and 0.599% of those impressions turn into an interaction. That is about 1.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 19 posts sampled, 68% carry an image or video and 95% link out. The account's strongest tracked post pulled 1.2K interactions, about 19x its own typical post. Recurring topics include #aiworld, #oci, #ohlssummit.

Measured over 19 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #aiworld, #oci, #ohlssummit.

Compared with accounts its own size

Oracle's engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 35% 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 0.007%, Oracle sits above the 10th percentile of the 204,694 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 14:00 UTC, and Friday 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video68% of posts+111%+108% to +115%34K
Outbound link95% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 68% 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.
  • 95% 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 244 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

  • Sep 24, 202619x their median

    Project Jupiter remains on our planned schedule. We are fully committed to New Mexico and confident in our path forward. Oracle has made significant economic, community, and philanthropic investments in the state. This includes reimagining Project Jupiter’s power plan as part of our long-term commitment to be a good neighbor to the residents of Doña Ana County. STACK Infrastructure has been a tremendous partner. Together, we are building New Mexico’s workforce for the long term. More than 3,600 construction workers are helping build the campus, including more than 1,000 New Mexico residents. More than 900 workers joined the team in August alone, reflecting the project’s continued growth. Collectively, they have logged more than 2.8 million hours worked. We are excited about the more than $4.7 billion in economic benefit Project Jupiter is expected to bring to New Mexico.

    9081159664357K viewsView on X
  • Jun 11, 20266.0x their median

    Thank you to all our customers and partners for helping make our record Q4 earnings possible. https://t.co/xqzYxew1DV https://t.co/YaUbhgsMjH

    2815336251K viewsView on X
  • Mar 6, 20265.7x their median

    A new season with @Redbullracing begins. Start your engine! 🏎️

    16751128340K viewsView on X
  • Aug 14, 20263.5x their median

    Project Jupiter remains on schedule, and we continue to work closely with our partners to move the project forward.

    1542328862K viewsView on X
  • Jul 23, 20263.5x their median

    https://t.co/sQtjAXy2ar

    164182725.9M viewsView on X
  • Jun 25, 20262.9x their median

    Join Chris Leone live on July 14 to learn how anyone within your business can become a builder and create agentic applications with the AI Agent Studio for Fusion Applications or your development platform of choice. https://t.co/BQuMqwUGbW

    617246018K viewsView on X
  • Aug 11, 20262.9x their median

    We believe the future of enterprise computing will bring AI, HPC, and quantum together. That’s why, today, Quantinuum and @Oracle have announced a multi-year strategic partnership to bring quantum computing to Oracle Cloud Infrastructure customers and accelerate the commercial adoption of hybrid quantum-AI computing. As part of the collaboration, our Helios quantum computer will be deployed in a U.S.-based Oracle AI data center, alongside OCI’s HPC and GPU infrastructure, and made available through OCI’s quantum service to give OCI customers a practical and secure way to explore how high-fidelity quantum computing can complement existing AI and HPC workloads—using the governance and access controls they already rely on. Read the joint announcement: https://t.co/Tgl4lYF6py

    11928171222K viewsView on X
  • Jul 14, 20262.6x their median

    Learn how anyone within your business can become a builder and create agentic applications with the new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications: https://t.co/Y6G2rRQuEm https://t.co/gqQH6nxRrb

    341311009.8K viewsView on X
  • Jul 30, 20262.6x their median

    We’re expanding our partnership with @googlecloud to bring Gemini models to Fusion Cloud Applications and @NetSuite: https://t.co/5QYZa82i4X https://t.co/V5kK4GVuNs

    121265415K viewsView on X
  • Jul 28, 20262.5x their median

    The AI World Hub is your one-stop shop to see demos, meet experts, catch live programming, and take part in hands-on experiences. Join us at #AIWorld from October 25-28! https://t.co/bdd60uMxMZ https://t.co/uVd85Kzk6Y

    1012129129K 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

#aiworld#oci#ohlssummit#azerbaijangp#italiangp

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 61 interactions against 829K followers, an engagement rate of 0.007%. Measured over 19 original posts, its engagement rate beats 30% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 10K times each, and 0.599% of those impressions turn into an interaction. That is about 1.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 19 posts sampled, 68% carry an image or video and 95% link out. The account's strongest tracked post pulled 1.2K interactions, about 19x its own typical post. Recurring topics include #aiworld, #oci, #ohlssummit.

What is Oracle's engagement rate on X?
Oracle (@Oracle) has an engagement rate of 0.007%, based on the median interactions across 19 original posts from the last 30 days against 829,097 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Oracle sits above the 10th percentile of the 204,694 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 @Oracle have real engagement?
Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @Oracle post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.97 posts per day across the measured window.

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