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Alibaba Cloud engagement report

@alibaba_cloud - 1.2M followers on X

Measured over 154 original posts from a 30-day window, last computed on October 28, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 1.2M followers
Per impression
0.229%
6.6K views on a typical post
Reach
0.55%
of its followers see a post
Typical post
15
interactions (median)
Saved
0.015%
1 bookmarks on a typical post
Posting rate
7.33/day
active 87% of days
Peak time
09:00 UTC
Friday

A typical post picks up 15 interactions against 1.2M followers, an engagement rate of 0.001%. Measured over 154 original posts, its engagement rate beats 13% 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 6.6K times each, and 0.229% of those impressions turn into an interaction. That is about 0.547% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Friday is the busiest day of the week. Of the 154 posts sampled, 100% carry an image or video, 23% are part of a thread and 77% link out. The account's strongest tracked post pulled 1.4K interactions, about 87x its own typical post. Recurring topics include #apsaraconference2026, #alibabacloud, #agenticera.

Measured over 154 original posts from a 30-day window, last computed on October 28, 2026. Recurring tags: #apsaraconference2026, #alibabacloud, #agenticera.

Compared with accounts its own size

Alibaba Cloud's engagement rate beats 13% 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 16% 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 0.001%, Alibaba Cloud sits below the 10th percentile of the 212,078 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%
p750.694%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,078 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,460 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 percentile0.694%
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 09:00 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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 video100% of posts+111%+108% to +115%34K
Outbound link77% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 77% 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 401 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Sep 10, 202687x their median

    $50,000 in prizes for the best AI ads. 🏆 The OpenArt Ad Awards are here. 15 awards. $15K for Ad of the Year. Open worldwide. Make a 30-sec+ ad with OpenArt and submit between Sep 10 - 30. Presented by OpenArt, with Model Co-Sponsors @alibaba_cloud, @BytePlusGlobal and @MiniMax_AI, and Creative Partners @MachineCinemaAI and @WonderStudiosX

    1.0K24394291.6M viewsView on X
  • Sep 9, 202660x their median

    POV: You heard music deep in the woods and followed the sound to this 🍂 BGM Support: HappyShrimpAI

    857792101.2M viewsView on X
  • Oct 7, 202657x their median

    Alibaba Cloud and @SuiNetwork are collaborating to make Alibaba Cloud services available through Sui Agent Payments. Bringing Alibaba Cloud services onchain gives AI agents a machine-native way to access cloud and AI services within defined controls. Announced live at Sui Basecamp in Singapore, where Adeniyi Abiodun, Co-Founder of Mysten labs was joined on stage by Leo Li, Head of Digital Native and AI Native Sectors, Hong Kong, Macau and Taiwan, Alibaba Cloud.

    691132642936K viewsView on X
  • Sep 2, 202654x their median

    🏆 No. 1 on CodeArena WebDev. Qwen3.8-Max-0902 jumps from 1669 to 1691, setting a new agentic coding record. No. 1 in Data & Analytics and Consumer Product No. 2 in Brand & Marketing, Gaming, and Simulations No. 3 in Content Creation Tools and Reference-Based Design

    751803002.1M viewsView on X
  • Sep 3, 202653x their median

    🏆 No. 1 on CodeArena WebDev. Qwen3.8-Max-0902 jumps from 1669 to 1691, setting a new agentic coding record. No. 1 in Data & Analytics and Consumer Product No. 2 in Brand & Marketing, Gaming, and Simulations No. 3 in Content Creation Tools and Reference-Based Design

    799241712.6M viewsView on X
  • Sep 2, 202652x their median

    Qwen3.8-Max just got upgraded. Meet Qwen3.8-Max-0902! 2.4T parameters. 1M context tokens. Qwen3.8-Max-0902 delivers stronger performance across enterprise tasks and scientific research. Pricing: $2 input, $6 output. $0.17 explicit cache hit, $0.25 implicit cache hit.

    710754321.5M viewsView on X
  • Oct 14, 202652x their median

    Introducing the all-new Black Shiba: featuring a dual-tone ultra-soft coat, all-day boopability, and our most advanced tail-wagging engine 🐶 More API access: • Qwen Cloud: https://t.co/WJCfRwlBMW • Model Studio: https://t.co/sh6KH6R4d8 https://t.co/n6O1R5RYk9

    50111211795110K viewsView on X
  • Aug 25, 202640x their median

    Wan 3.0 is now live on Comfy! It generates what earlier versions couldn't: a full 30-second scene in one take, as low as 480p for speed and iteration, and up to 1080p for production quality. Click the link below to try it today 👇 https://t.co/dxfh1yDSzG

    5434044655K viewsView on X
  • Aug 24, 202637x their median

    WAN 3.0 is live on DeeVid AI. Lower generation costs. Create more. Explore more. Cinematic AI video with stronger motion, richer details. Start creating today! https://t.co/tZzTbN00qE

    3981144043178K viewsView on X
  • Sep 3, 202635x their median

    Qwen3.8-Max just got upgraded. Meet Qwen3.8-Max-0902! 2.4T parameters. 1M context tokens. Qwen3.8-Max-0902 delivers stronger performance across enterprise tasks and scientific research. Pricing: $2 input, $6 output. $0.17 explicit cache hit, $0.25 implicit cache hit.

    522241202.0M 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

#apsaraconference2026#alibabacloud#agenticera#aiagents#agentnative

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 15 interactions against 1.2M followers, an engagement rate of 0.001%. Measured over 154 original posts, its engagement rate beats 13% 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 6.6K times each, and 0.229% of those impressions turn into an interaction. That is about 0.547% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Friday is the busiest day of the week. Of the 154 posts sampled, 100% carry an image or video, 23% are part of a thread and 77% link out. The account's strongest tracked post pulled 1.4K interactions, about 87x its own typical post. Recurring topics include #apsaraconference2026, #alibabacloud, #agenticera.

What is Alibaba Cloud's engagement rate on X?
Alibaba Cloud (@alibaba_cloud) has an engagement rate of 0.001%, based on the median interactions across 154 original posts from the last 30 days against 1,199,342 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Alibaba Cloud sits below the 10th percentile of the 212,078 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 @alibaba_cloud have real engagement?
Its engagement rate beats 13% 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 @alibaba_cloud post?
Most posts go out around 09:00 UTC, and Friday is its busiest day, at roughly 7.33 posts per day across the measured window.

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