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Amazon Web Services engagement report

@awscloud - 2.2M followers on X

Measured over 16 original posts from a 30-day window, last computed on October 27, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 2.2M followers
Per impression
0.019%
518K views on a typical post
Reach
23.2%
of its followers see a post
Typical post
100
interactions (median)
Saved
0.003%
15 bookmarks on a typical post
Posting rate
1.2/day
active 33% of days
Peak time
15:00 UTC
Thursday

A typical post picks up 100 interactions against 2.2M followers, an engagement rate of 0.004%. Measured over 16 original posts, its engagement rate beats 24% of 21,185 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 518K times each, and 0.019% of those impressions turn into an interaction. That is about 23.2% 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, though only 33% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 16 posts sampled, 100% carry an image or video, 75% are part of a thread and 6% link out. The account's strongest tracked post pulled 9.7K interactions, about 59x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on October 27, 2026.

Compared with accounts its own size

Amazon Web Services's engagement rate beats 24% of the tracked X accounts closest to it in follower count (21,185 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 2% 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 0.004%, Amazon Web Services sits above the 10th percentile of the 212,270 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.695%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,270 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.025%
50th percentile0.146%
75th percentile0.695%
90th percentile2.61%
99th percentile83.1%

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 15:00 UTC, and Thursday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video100% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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.
  • 6% 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 229 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

  • Jul 22, 202659x their median

    (1/2) Is your SaaS strategy ready for the agentic era?

    9.1K3212822726M viewsView on X
  • Jul 17, 2026109x their median

    Typo alert: Some customers saw quadrillion-dollar AWS billing estimates today. Slight miscalculation on our end (very slight 😅). We're fixing it now. No action needed on your end. Sorry for the confusion. Real question: what will you do with those trillions instead?

    6.4K1.1K4961.3K4.3M viewsView on X
  • Sep 26, 202650x their median

    How do you modernize a legacy health technology codebase, almost on its own? (1/4)

    4.7K161115718M viewsView on X
  • Jul 14, 202669x their median

    1/3 What could your engineering team build if they weren't focused on infrastructure? https://t.co/Wp5dH6VH4Q

    4.3K184145217M viewsView on X
  • Sep 24, 202628x their median

    What does it take to process 2M documents a day, at up to 99% accuracy across regulated industries?

    2.6K10180145.9M viewsView on X
  • Sep 17, 202627x their median

    Most companies want to move fast with AI. Why did @SumoLogic do the opposite? 🧵 (1/5)

    2.5K1187508.5M viewsView on X
  • Sep 7, 202626x their median

    Why does data access change EVERYTHING? https://t.co/QiapGqiEYx

    2.4K10185124M viewsView on X
  • Mar 14, 202616x their median

    We got a little animated for our 20th. Twenty years in and we're still having fun with it. https://t.co/IwdYxkAZM1

    92841126914394K viewsView on X
  • Oct 8, 202615x their median

    The interns were asked to describe themselves in three words. To be fair, everyone stumbles on this question. They just stumbled on camera. https://t.co/d7CCkqipVW

    1.4K4658213M viewsView on X
  • Sep 10, 202614x their median

    AWS senior leaders take the stage across the week, sharing the launches and strategic direction that shape what organizations build next. The conversations those sessions spark become the architecture decisions you're making by the end of the week. https://t.co/ONrhmV5yS3

    1.3K91102311M 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.

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Reading these numbers

A typical post picks up 100 interactions against 2.2M followers, an engagement rate of 0.004%. Measured over 16 original posts, its engagement rate beats 24% of 21,185 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 518K times each, and 0.019% of those impressions turn into an interaction. That is about 23.2% 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, though only 33% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 16 posts sampled, 100% carry an image or video, 75% are part of a thread and 6% link out. The account's strongest tracked post pulled 9.7K interactions, about 59x its own typical post.

What is Amazon Web Services's engagement rate on X?
Amazon Web Services (@awscloud) has an engagement rate of 0.004%, based on the median interactions across 16 original posts from the last 30 days against 2,235,488 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Amazon Web Services sits above the 10th percentile of the 212,270 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 @awscloud have real engagement?
Its engagement rate beats 24% of the tracked X accounts closest to it in follower count (21,185 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 @awscloud post?
Most posts go out around 15:00 UTC, and Thursday is its busiest day, at roughly 1.2 posts per day across the measured window.

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