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WeChat engagement report

@Weixin_WeChat - 279K followers on X

Measured over 10 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Middle of its size range
Per follower
0.128%
of 279K followers
Per impression
0.368%
95K views on a typical post
Reach
34.7%
of its followers see a post
Typical post
351
interactions (median)
Saved
0.025%
24 bookmarks on a typical post
Posting rate
0.43/day
active 37% of days
Peak time
10:00 UTC
Wednesday

A typical post picks up 351 interactions against 279K followers, an engagement rate of 0.128%. Measured over 10 original posts, its engagement rate beats 64% 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 95K times each, and 0.368% of those impressions turn into an interaction. That is about 34.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video and 30% link out. The account's strongest tracked post pulled 28K interactions, about 80x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on September 24, 2026.

Compared with accounts its own size

WeChat's engagement rate beats 64% 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 21% 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 0.128%, WeChat sits above the 25th percentile of the 205,048 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 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 video80% of posts+111%+108% to +115%34K
Outbound link30% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 80% 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.
  • 30% 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 382 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 23, 202680x their median

    Heard someone say China is worth the trip. Pretty good timing. SOMETHING NEW FOR INTERNATIONAL VISITORS TO CHINA IS COMING TOMORROW.

    25K1.2K8247252.3M viewsView on X
  • Sep 24, 20269.3x their median

    We’re live. Meet TenPayGo 👋 Coming to China for travel? TenPayGo is a payment app built by Weixin Pay for overseas visitors to China. Pay wherever Weixin Pay is accepted, using Apple Pay, international cards and supported e-wallets. Sign up with your email and you’re ready to go. And there’s more — from translation to metro and bus travel, TenPayGo is built to make everyday life in China easier. Easy Pay with TenPayGo. Explore China with TenPayGo.🇨🇳

    2.6K30796221645K viewsView on X
  • Jul 24, 20263.8x their median

    我最近发现一个AI工具叫做WeChat,里面好多智能体,聊天都是免费的,识图能力还可以。 就是推理速度有点慢,经常会重复你的输入。

    1.1K4321313432K viewsView on X
  • Aug 26, 20262.3x their median

    Some of the AI in Weixin works quietly behind the scenes. Meet WeMM-Embedding, a multimodal embedding model developed by our Vision team. It helps power search and recommendations across text, images and videos — already deployed across Channels, Official Accounts, Moments and e-commerce. Its 9B model ranked #1 on both MMEB-v2 and MMEB-v3. Now it’s open source ↓ GitHub: https://t.co/FztiyBFtkV Hugging Face: https://t.co/KnVhAoIZAG

    652913237356K viewsView on X
  • Jun 17, 20262.3x their median

    With the “AI AgentPay Card”(AI专属卡), users can make purchases inside supported AI Agent conversations — from recommendations to order placement and payment. The card is separate from your main Weixin Pay account. Agent purchases can only use the card balance, and you decide how much to add or withdraw at any time. The experience is now available through Meituan Living Assistant in WorkBuddy, where users can buy group-buying vouchers and redeem them in-store. *Available on WorkBuddy for Mac v5.1.1 and above. #Weixin #WeChat #WeixinPay #AI #Tencent

    5344611595186K viewsView on X
  • Sep 14, 20261.9x their median

    Put your team’s knowledge to work. Developed by Tencent’s Weixin team, WeKnora is an open-source, LLM-powered knowledge framework built for enterprise-grade document understanding, semantic retrieval, and autonomous reasoning. Build assistants that find answers in your docs, show their sources and use skills to create files you can preview and download. Keep useful context across chats with opt-in long-term memory. You approve suggested memories before they’re used. Self-host it and run skills in a sandbox with network limits you set. Explore WeKnora: https://t.co/8oFPodiR8Q Have a project in mind? Join our community to share ideas and build with us: https://t.co/zaj2B4P8Xq

    535853820409K viewsView on X
  • Aug 18, 20261.7x their median

    自建的AI Agent,现在也可以接入企业微信。 企业微信全面升级CLI与MCP能力。WorkBuddy、Deepseek Harness、Minimax Code等主流AI Agent均可直接调用企业微信的文档、表格、邮件、会议、日程、通讯录等十大办公能力模块。 企业还可以通过企业微信开放接口,接入自主开发的 AI Agent。 该能力面向所有规模的企业开放,不再受企业人数、资质等门槛限制。 立即开始体验:https://t.co/BmA5oxfT8L

    395569750173K viewsView on X
  • Apr 2, 20261.5x their median

    “Weixin or WeChat?” 👀 Yeah, we speak both 🤜🤛 #Weixin #WeChat #iykyk https://t.co/xMyzJ9wVvI

    400251088146K viewsView on X
  • Jun 8, 2026

    💡Weixin Open Platform now gives developers an easier way to connect Weixin Mini Program to the Weixin AI ecosystem. Pick the setup that fits your team: ⚡ Automatic Mode: no extra development needed 🛠️ Development Mode: customize it around your business needs And yes, you can enable both. 😉 Find it in Weixin Mini Program Admin Console > AI Capabilities. #Weixin #WeChat #MiniProgram #WeixinAI

    276276724108K viewsView on X
  • Aug 27, 2026

    We all have that one friend. 😂 Who came to mind first? 👀 https://t.co/duQBOSFIaT

    22740754374K 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 351 interactions against 279K followers, an engagement rate of 0.128%. Measured over 10 original posts, its engagement rate beats 64% 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 95K times each, and 0.368% of those impressions turn into an interaction. That is about 34.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video and 30% link out. The account's strongest tracked post pulled 28K interactions, about 80x its own typical post.

What is WeChat's engagement rate on X?
WeChat (@Weixin_WeChat) has an engagement rate of 0.128%, based on the median interactions across 10 original posts from the last 30 days against 278,759 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.128%, WeChat sits above the 25th percentile of the 205,048 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 @Weixin_WeChat have real engagement?
Its engagement rate beats 64% 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 @Weixin_WeChat post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 0.43 posts per day across the measured window.

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