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Sharing Travel engagement report

@TripInChina - 110K followers on X

Measured over 27 original posts from a 30-day window, last computed on October 11, 2026.

Engagement

Middle of its size range
Per follower
0.086%
of 110K followers
Per impression
2.06%
4.6K views on a typical post
Reach
4.14%
of its followers see a post
Typical post
94
interactions (median)
Saved
0.132%
6 bookmarks on a typical post
Posting rate
1.3/day
active 20% of days
Peak time
18:00 UTC
Thursday

A typical post picks up 94 interactions against 110K followers, an engagement rate of 0.086%. Measured over 27 original posts, its engagement rate beats 49% 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 4.6K times each, and 2.06% of those impressions turn into an interaction. That is about 4.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 27 posts sampled, 96% carry an image or video. The account's strongest tracked post pulled 68K interactions, about 723x its own typical post.

Measured over 27 original posts from a 30-day window, last computed on October 11, 2026.

Compared with accounts its own size

Sharing Travel's engagement rate beats 49% of the tracked X accounts closest to it in follower count (20,444 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 62% 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 0.086%, Sharing Travel sits above the 25th percentile of the 205,152 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 205,152 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 18:00 UTC, and Thursday 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video96% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 96% 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 203 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

  • Oct 8, 2026723x their median

    En España viven 209.000 chinos. Gente que nunca ha pedido una subvención, ni hace cola en los bancos de alimentos, ni roban móviles, ni hacen el mataleón en los cajeros, ni molestan a las mujeres en el metro, ni las violan, ni te quieren imponer sus costumbres.

    59K8.0K9971883.4M viewsView on X
  • Oct 6, 2026185x their median

    🇨🇳 Polícia chinesa prende dois líderes (Yan Hong e Wu Wuqing) de uma seita evangélica protestante que estava operando ilegalmente no país, realizando lavagem cerebral com base em preceitos religiosos para manipular cidadãos chineses e extorqui-los com cobrança de dízimo. https://t.co/gttgJtBwOH

    15K1.7K232860316K viewsView on X
  • Oct 8, 202633x their median

    Fun fact, China has more political parties in our legislature than the US has in its legislature. https://t.co/j8xG2KFITO

    2.7K2799546183K viewsView on X
  • Oct 6, 202614x their median

    The first gold medal🥇 in Tibetan history was won in the race walking event at the Nagoya Asian Games. When the Tibetan girl returned to her hometown, she received a warm welcome from her fellow villagers. https://t.co/noMJbSQpec

    1.2K978272K viewsView on X
  • Oct 9, 20264.0x their median

    Dinner for the poor by the roadside in Beijing.😃😃 https://t.co/cD1XOUO69p

    3101545424K viewsView on X
  • Oct 7, 20262.3x their median

    The National Day of the Chinese is romantic.😍😍 On the last day of the holiday, I wish you a happy return to work. https://t.co/LEP5KopNKD

    17634404.8K viewsView on X
  • Oct 8, 20262.1x their median

    High-end food in Xi'an.😋😃🤣 https://t.co/SKcHeyiJ5R

    168161346.3K viewsView on X
  • Oct 7, 20262.1x their median

    An indispensable dish at rural banquets in Lianjiang, Fujian, China.😋😋From vegetables to fruits to seafood. https://t.co/aXMfcifzsW

    17318307.5K viewsView on X
  • Oct 8, 20261.6x their median

    In Xinjiang, this kind of noodle is called lapizi. It's a bit thicker than Lanzhou beef noodles, and it doesn't have soup. It's made by stir-frying beef with chili peppers.😋😋 https://t.co/LHtrDPH6d5

    1318616.9K viewsView on X
  • Oct 7, 2026

    Xi'an East Railway Station. Xi'an East Station is a huge transportation hub. It has a large-scale rooftop photovoltaic system for clean power. Blending grand architecture with green energy, it serves high-speed and regular trains. https://t.co/cipXzDO39B

    11418233.6K 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 94 interactions against 110K followers, an engagement rate of 0.086%. Measured over 27 original posts, its engagement rate beats 49% 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 4.6K times each, and 2.06% of those impressions turn into an interaction. That is about 4.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 27 posts sampled, 96% carry an image or video. The account's strongest tracked post pulled 68K interactions, about 723x its own typical post.

What is Sharing Travel's engagement rate on X?
Sharing Travel (@TripInChina) has an engagement rate of 0.086%, based on the median interactions across 27 original posts from the last 30 days against 110,075 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.086%, Sharing Travel sits above the 25th percentile of the 205,152 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 @TripInChina have real engagement?
Its engagement rate beats 49% 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 @TripInChina post?
Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 1.3 posts per day across the measured window.

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