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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.694% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 77% 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
- Sep 9, 202660x their median
POV: You heard music deep in the woods and followed the sound to this 🍂 BGM Support: HappyShrimpAI
- 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.
- 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
- 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
- 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.
- 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
- 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
- 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
- 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.
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
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.