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Tong Bingxue 仝冰雪 engagement report

@tongbingxue - 137K followers on X

Measured over 32 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Middle of its size range
Per follower
0.273%
of 137K followers
Per impression
1.56%
24K views on a typical post
Reach
17.5%
of its followers see a post
Typical post
374
interactions (median)
Saved
0.21%
50 bookmarks on a typical post
Posting rate
1.23/day
active 93% of days
Peak time
11:00 UTC
Tuesday

A typical post picks up 374 interactions against 137K followers, an engagement rate of 0.273%. Measured over 32 original posts, its engagement rate beats 70% of 15,519 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 24K times each, and 1.56% of those impressions turn into an interaction. That is about 17.5% 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 almost every day in the window. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 32 posts sampled, 100% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 19K interactions, about 50x its own typical post.

Measured over 32 original posts from a 30-day window, last computed on September 29, 2026.

Compared with accounts its own size

Tong Bingxue 仝冰雪's engagement rate beats 70% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 7 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 53% 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 0.273%, Tong Bingxue 仝冰雪 sits above the 50th percentile of the 157,233 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,233 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,048 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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 link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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.
  • 0% 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 272 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 5, 202650x their median

    Café in a cave, SW China’s Guiyang. https://t.co/l5o1Y7lZwY

    17K1.4K1011681.3M viewsView on X
  • Sep 14, 202627x their median

    Unexpected coldplay concert incident in China https://t.co/hUDu1S69vZ

    9.1K71157104806K viewsView on X
  • Aug 28, 202613x their median

    In the surveillance footage from China’s Gyirong Port, this Chinese border police officer was directing civilians to safety until his very last breath. A hero immortalized. Forever honored. 🕯️ https://t.co/huVy82jWLC

    4.3K30911915775K viewsView on X
  • Aug 25, 20269.9x their median

    The Zhongyuan Festival中元节—known locally as the Ghost Festival in Kaili, Guizhou, it runs from tonight (the 13th day of the 7th lunar month) through the 15th. These evenings, families gather by the riverside (as designated by the local authorities for fire safety) to burn paper offerings, honoring the spirits of their departed loved ones. 🔥🕯️

    3.0K5259574260K viewsView on X
  • Sep 24, 20266.7x their median

    China’s First Lady Peng Liyuan delivered a speech entirely in English at the UN, 2015. https://t.co/N40VoQbA9J

    2.2K2344034486K viewsView on X
  • Sep 21, 20265.9x their median

    The source of mercury in the Mausoleum of China's first emperor Qin Shi Huang has finally been found! Archaeologists have identified 3 ancient pre-Qin & Han sites in Xunyang, Shaanxi (~100 km away) linked to cinnabar mining and transport, cracking a 2,000-year-old mystery. Cinnabar (mercury sulfide) was processed into liquid mercury to create the legendary underground rivers inside the tomb. Scholars estimate the mausoleum holds a massive amount of mercury, whose toxic vapors likely served as both a preservative and a deadly anti-theft defense.

    1.9K2802315111K viewsView on X
  • Aug 23, 20264.8x their median

    Not AI. This photo was taken in 2016 in Hujialing Village 胡家岭村, Shandong, China. This seven-story structure went viral for its striking resemblance to Howl’s Moving Castle. Built single-handedly by a local villager named Mr. Hu, who has a mental disability, the castle took nearly five years to complete. Using only collected bricks, mud, and salvaged wooden logs—without a single piece of steel or cement—he gathered every material and did all the heavy lifting entirely on his own. His reason for building it was simple: "So many people built houses, so I wanted to build one too." Though he never actually lived in it, neighbors grew concerned over its structural safety. The local government eventually coordinated with Mr. Hu to relocate him into a safe, comfortable new home and safely dismantled the structure.

    1.6K139299130K viewsView on X
  • Aug 30, 20263.5x their median

    Home Owners, series Chinese portraits in rural areas of central China’s Henan Province, 1990-2000. 📸by Jiang Jian. https://t.co/zPDtocWW0z

    1.2K11213755K viewsView on X
  • Sep 16, 20263.4x their median

    Mao Zedong going for a swim at a resort in Mount Lu庐山, China,1961. https://t.co/lw0iTYIL6g

    942712321646K viewsView on X
  • Aug 21, 20263.2x their median

    Ultra-bionic robots at the ongoing World Robot Conference in Beijing — priced at 120,000 RMB (around $17,000 USD). https://t.co/TIXIOCHo6b

    9311386056336K 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 374 interactions against 137K followers, an engagement rate of 0.273%. Measured over 32 original posts, its engagement rate beats 70% of 15,519 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 24K times each, and 1.56% of those impressions turn into an interaction. That is about 17.5% 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 almost every day in the window. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 32 posts sampled, 100% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 19K interactions, about 50x its own typical post.

What is Tong Bingxue 仝冰雪's engagement rate on X?
Tong Bingxue 仝冰雪 (@tongbingxue) has an engagement rate of 0.273%, based on the median interactions across 32 original posts from the last 30 days against 137,183 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.273%, Tong Bingxue 仝冰雪 sits above the 50th percentile of the 157,233 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 @tongbingxue have real engagement?
Its engagement rate beats 70% of the tracked X accounts closest to it in follower count (15,519 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 @tongbingxue post?
Most posts go out around 11:00 UTC, and Tuesday is its busiest day, at roughly 1.23 posts per day across the measured window.

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