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Alibaba Group engagement report

@AlibabaGroup - 270K followers on X

Measured over 17 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Middle of its size range
Per follower
0.053%
of 270K followers
Per impression
0.021%
694K views on a typical post
Reach
257.2%
of its followers see a post
Typical post
142
interactions (median)
Saved
0.002%
11 bookmarks on a typical post
Posting rate
1.23/day
active 47% of days
Peak time
08:00 UTC
Tuesday

A typical post picks up 142 interactions against 270K followers, an engagement rate of 0.053%. Measured over 17 original posts, its engagement rate beats 48% 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 694K times each, and 0.021% of those impressions turn into an interaction. That is about 257.2% 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, with activity on roughly 47% of days. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 17 posts sampled, 100% carry an image or video, 47% are part of a thread and 6% link out. The account's strongest tracked post pulled 3.6K interactions, about 26x its own typical post. Recurring topics include #alibabaai, #qwen, #time100ai.

Measured over 17 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #alibabaai, #qwen, #time100ai.

Compared with accounts its own size

Alibaba Group's engagement rate beats 48% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 0.053%, Alibaba Group sits above the 25th percentile of the 205,374 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.678%
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 08:00 UTC, and Tuesday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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-+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.
  • 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 318 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

  • Aug 6, 202626x their median

    Introducing Wan3.0 — now in Public Beta. Simple Input. Smart Creation. Where Imagination Meets Reality. • Native 30-Second Video Generation • Reality-Grade Rendering • Omni-Reference: Beyond text, images, audio, and video—now with documents, spreadsheets, slides, webpages, and more. Public Beta is now live. Apply now and start creating ↓

    2.8K34234913520M viewsView on X
  • Aug 6, 202616x their median

    A quick snapshot of where Qwen3.8-Max stands today: Qwen3.8-Max now ranks #5 on the Artificial Analysis Intelligence Index, and #1 on the Agentic Index!šŸ„‡ We'll keep pushing forward. šŸš€ https://t.co/1bt811Rbvx

    1.9K11612135155K viewsView on X
  • Jul 16, 20266.0x their median

    Joe Tsai, Chairman of Alibaba Group, shares how we’re thinking about AI across the stack at @VivaTech. From infrastructure to applications, it’s about building for the long term. Watch the full interview to hear his perspective! https://t.co/K1yIUA5zOh

    7073810423.7M viewsView on X
  • Jul 10, 20265.0x their median

    Ever wanted to take control of your own story? ✨ With HappyOyster's Directing Mode, you can create videos up to 3 minutes long, steer the narrative with commands, and even rewrite the story using the new pause-and-rewind feature. Watch @HappyOysterAI in action! https://t.co/CHD6XTGcOC

    5723310165.8M viewsView on X
  • Jul 19, 20264.9x their median

    Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out. Can't wait to hear what you build. Stay tuned! šŸš€Ā  Token Plan international:https://t.co/YRvcGdB9Bv China:https://t.co/PKMUNwUuRp

    4706358107108K viewsView on X
  • Jul 29, 20264.6x their median

    Qwen‑Image‑3.0 is built for complex content creation, from detailed knowledge diagrams to UI interfaces, all in one step. With ultra‑long inputs of up to 4.5K tokens and native rendering in 12 languages, Qwen‑Image‑3.0 unlocks new possibilities for creators and developers alike. šŸŽØDiscover what you can build next!

    527626543.1M viewsView on X
  • Aug 26, 20264.1x their median

    šŸš€ QwenWork is here! Alibaba's all-in-one AI productivity platform is now in public beta for global users — web & desktop. What it does: āœ… Describe tasks in natural language — the agent does the work for you āœ… Awareness: an agent that learns how YOU work, across sessions āœ… Build & deploy live web apps in one flow — no code, no servers āœ… Native image, video & audio generation — a full multimodal toolkit āœ… Basic & Advanced model tiers, powered by leading AI models Try it now šŸ‘‰ https://t.co/F7ujAO3YEo #ai #aiagent #qwenwork #Alibaba

    46771251971K viewsView on X
  • Jul 7, 20264.1x their median

    Engineers are embracing AI tools to push boundaries and explore new possibilities. Joe Tsai, Chairman of Alibaba Group, discusses the rise in AI costs and why it could be a stepping stone to future innovation. Watch his remarks at @VivaTech to learn more! https://t.co/hAqLQEb5mC

    497334423.8M viewsView on X
  • Jul 3, 20263.9x their median

    Dr. Feifei Li, CTO and President of International Business at Alibaba Cloud, shared how Alibaba Cloud is advancing full-stack readiness during the Qwen Conference. By laying the four cornerstones of the agent era, it delivers scalable, cost-efficient solutions for model serving, training, and real-world agent execution.

    494263614.8M viewsView on X
  • Jul 24, 20263.6x their median

    Dr. Feifei Li, CTO and President of International Business at Alibaba Cloud, shared what’s next for AI at WAIC 2026, a major shift towards Agent-as-a-Service, transforming how AI delivers impact. Watch the full clip to find out! https://t.co/Cbckjym4Uv

    437333733.6M 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

#alibabaai#qwen#time100ai#qwenwork#apsaraconference2026

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 142 interactions against 270K followers, an engagement rate of 0.053%. Measured over 17 original posts, its engagement rate beats 48% 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 694K times each, and 0.021% of those impressions turn into an interaction. That is about 257.2% 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, with activity on roughly 47% of days. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 17 posts sampled, 100% carry an image or video, 47% are part of a thread and 6% link out. The account's strongest tracked post pulled 3.6K interactions, about 26x its own typical post. Recurring topics include #alibabaai, #qwen, #time100ai.

What is Alibaba Group's engagement rate on X?
Alibaba Group (@AlibabaGroup) has an engagement rate of 0.053%, based on the median interactions across 17 original posts from the last 30 days against 269,776 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.053%, Alibaba Group sits above the 25th percentile of the 205,374 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 @AlibabaGroup have real engagement?
Its engagement rate beats 48% 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 @AlibabaGroup post?
Most posts go out around 08:00 UTC, and Tuesday is its busiest day, at roughly 1.23 posts per day across the measured window.

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