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Amazon engagement report

@amazon - 5.9M followers on X

Measured over 9 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.005%
of 5.9M followers
Per impression
0.318%
93K views on a typical post
Reach
1.57%
of its followers see a post
Typical post
294
interactions (median)
Saved
0.029%
27 bookmarks on a typical post
Posting rate
0.83/day
active 43% of days
Peak time
13:00 UTC
Wednesday

A typical post picks up 294 interactions against 5.9M followers, an engagement rate of 0.005%. Measured over 9 original posts, its engagement rate beats 25% 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 93K times each, and 0.318% of those impressions turn into an interaction. That is about 1.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 44% carry an image or video, 11% are part of a thread and 56% link out. The account's strongest tracked post pulled 50K interactions, about 171x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Amazon's engagement rate beats 25% 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 22% 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 0.005%, Amazon sits above the 10th percentile of the 204,491 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 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video44% of posts+111%+108% to +115%34K
Outbound link56% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 44% 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.
  • 56% 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 158 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Jun 30, 2026171x their median

    Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models. https://t.co/UKK8G7ww5h

    41K4.3K2.0K2.4K12M viewsView on X
  • Jul 24, 202630x their median

    Welcome to a future we no longer control. Blade Runner 2099, a new series, premieres November 25 on Prime Video. https://t.co/80nQGY8sFQ

    3.7K1.0K418289701K viewsView on X
  • Jun 25, 202614x their median

    Really enjoyed my meeting with Prime Minister @narendramodi about what’s ahead for Amazon in India. We’ve been serving customers, sellers, developers, startups, and enterprises in India for more than a decade and just getting started. Shared that we’re investing $48 billion over the coming five years, including $21+ billion in AI and cloud infrastructure. By 2030, we plan to support 3.8 million jobs, enable $80 billion in ecomm exports, and bring benefits of AI to 15 million small businesses and 4 million government school students. Excited about what’s ahead. Still early days for what we can build. https://t.co/sxkRka2Qng

    2.0K33716057644K viewsView on X
  • Jun 16, 20268.1x their median

    Excited to share that Grok 4.3 from @elonmusk's @xai is now available on Amazon Bedrock. Customers pick the right model for the right job, and we keep making that easier: https://t.co/N2Fbeg7CIA https://t.co/p9qS6Qq6Rq

    1.8K239109533.5M viewsView on X
  • Aug 26, 20265.2x their median

    BIG NEWS from @awscloud and @nvidia 🤝 We're announcing a major expansion of our strategic collaboration for next-gen AI infrastructure. ⬇️ Building on 16 years of joint innovation, AWS will deploy 2 million additional NVIDIA GPUs across its global infrastructure in 2027–2028—and that's just the start. The two companies are deepening their work together across AI factories, CPUs, networking, open models, data processing, and robotics. This expansion gives customers even more ways to build and deploy AI at scale.

    1.0K16233021236K viewsView on X
  • Jun 29, 20264.5x their median

    Introducing the next iteration of the @zoox robotaxi. ⬇️ After 500,000+ rides, the robotaxi has been improved through real rider feedback. What's new: a more comfortable cabin, a brighter touchscreen and improved charging pad, a refreshed interior, and new exterior cues that make it even easier to distinguish the robotaxi’s front from its rear. The vehicle still has no steering wheel, no pedals, and drives in both directions. Now it's moving into large-scale production.

    97916313143207K viewsView on X
  • Jul 27, 20264.5x their median

    .@amazon has believed in giving customers choice across AI models for years. We have always supported open-weight models on Amazon Bedrock, starting back in 2023, and will continue to advocate for open ecosystems. No single model will define AI leadership. Customers need access to the most capable frontier models, alongside open-weight models they can adapt, optimize, and deploy for their own workloads. Open and closed models are complementary. Together, they expand access to AI, accelerate innovation, strengthen competition, and give organizations greater control over the technology they build. Successful leadership in AI will not be built around a single model or a single approach. It will be built on broad choice and the infrastructure to run those models securely, reliably, and at scale. While there are elements of the Open Weights and American AI Leadership letter that need further definition over time, we’re supportive of the macro direction and have signed it.

    1.1K975230679K viewsView on X
  • Aug 13, 20264.3x their median

    🚨 The NBA on Prime schedule for 2026-27 featuring the Eastern Conference Finals 🚨 Which matchups are you circling on the calendar? 🤔 https://t.co/PQaA2W96k6

    9442201896613K viewsView on X
  • Jun 24, 20266.9x their median

    Introducing the next evolution of the Zoox robotaxi. Refined through testing, early deployments, and feedback from 500,000+ riders. More features. More comfortable. Built for scale. And now, moving into large-scale production. Find out more: https://t.co/U7mYHCDWN0 https://t.co/tDSeFIJMRT

    9761419335294K viewsView on X
  • Aug 10, 20264.0x their median

    Our strategic partnership with Novo Nordisk expands today as they announce that they've chosen AWS as their preferred cloud provider and strategic AI partner to help accelerate drug discovery. We will combine Novo Nordisk’s scientific expertise with AWS’s AI tools, including Amazon Bio Discovery (biology AI models to design and test drug candidates) and Bedrock AgentCore (infrastructure for building AI agents that run real workflows), and also stand up a co-innovation hub in London where their scientists and our engineers work side by side. We’re proud of our broad partnership across the two companies, which already spans AWS, Amazon Pharmacy, and One Medical. I’m optimistic about how we’ll use AI together to speed up drug discovery, and what that will mean for patients. https://t.co/CLq0bMfvs3

    985947318175K 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 294 interactions against 5.9M followers, an engagement rate of 0.005%. Measured over 9 original posts, its engagement rate beats 25% 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 93K times each, and 0.318% of those impressions turn into an interaction. That is about 1.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 44% carry an image or video, 11% are part of a thread and 56% link out. The account's strongest tracked post pulled 50K interactions, about 171x its own typical post.

What is Amazon's engagement rate on X?
Amazon (@amazon) has an engagement rate of 0.005%, based on the median interactions across 9 original posts from the last 30 days against 5,880,015 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, Amazon sits above the 10th percentile of the 204,491 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 @amazon have real engagement?
Its engagement rate beats 25% 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 @amazon post?
Most posts go out around 13:00 UTC, and Wednesday is its busiest day, at roughly 0.83 posts per day across the measured window.

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