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鱼鱼鱼夫 engagement report

@C_tznl - 170K followers on X

Measured over 41 original posts from a 30-day window, last computed on October 28, 2026.

Engagement

Top quarter for its size
Per follower
0.333%
of 170K followers
Per impression
0.672%
84K views on a typical post
Reach
49.6%
of its followers see a post
Typical post
564
interactions (median)
Saved
0.052%
44 bookmarks on a typical post
Posting rate
1.37/day
active 83% of days
Peak time
04:00 UTC
Thursday

A typical post picks up 564 interactions against 170K followers, an engagement rate of 0.333%. Measured over 41 original posts, its engagement rate beats 79% of 21,624 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 84K times each, and 0.672% of those impressions turn into an interaction. That is about 49.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 41 posts sampled, 88% carry an image or video. The account's strongest tracked post pulled 2.1K interactions, about 3.8x its own typical post. Recurring topics include #杭州, #横店.

Measured over 41 original posts from a 30-day window, last computed on October 28, 2026. Recurring tags: #杭州, #横店.

Compared with accounts its own size

鱼鱼鱼夫's engagement rate beats 79% of the tracked X accounts closest to it in follower count (21,624 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 32% 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 0.333%, 鱼鱼鱼夫 sits above the 50th percentile of the 218,727 accounts in this comparison. That places it in the above the median band, which runs 0.149% to 0.706%.

p100.004%
p250.025%
p50 (median)0.149%
p750.706%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,727 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,722 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 percentile0.025%
50th percentile0.149%
75th percentile0.706%
90th percentile2.63%
99th percentile82.5%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video88% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 88% 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 44 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below 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

  • Oct 12, 20263.8x their median

    有人想看丝袜是怎么穿的,让我老婆给大家展示一下 https://t.co/TNxFNYyA1g

    1.7K733180284K viewsView on X
  • Oct 14, 20263.4x their median

    是有点低俗,但是很好玩 https://t.co/pQZkelB8Qy

    1.6K432320133K viewsView on X
  • Oct 10, 20263.3x their median

    带老婆出来见推特上认识的网友 https://t.co/RN5mizgibe

    1.4K244450217K viewsView on X
  • Oct 25, 20263.0x their median

    送老婆去宁波的路上 https://t.co/KxjrMeKLA2

    1.7K3940222K viewsView on X
  • Oct 9, 20262.9x their median

    尿急怎么办,钻小树林里 https://t.co/3aBgJn2P3w

    1.4K461691175K viewsView on X
  • Sep 17, 20262.7x their median

    你的骚气是天赋,腿是加分项 https://t.co/lsL59niXqD

    1.5K4530178K viewsView on X
  • Sep 12, 20262.5x their median

    真空无内开档肉丝出去逛街 感觉老婆走在人群的时候会下意识收敛双腿 生怕自己看起来太显眼被别人看出来异常(有个盗图的叫:杭州FQ) https://t.co/V86vPj7K0d

    1.4K2350217K viewsView on X
  • Sep 10, 20262.3x their median

    老婆从上海回来内裤没了,让我陪她去做指甲,全程一路真空…… https://t.co/gTrQUZyYq6

    61856730176K viewsView on X
  • Sep 16, 20262.1x their median

    一会把她内裤脱了 https://t.co/YND0zc3uFC

    1.2K2010277K viewsView on X
  • Oct 10, 20262.0x their median

    跟我出门就穿睡衣,见网友就穿成这样 https://t.co/2IFAvvkO0e

    916131870127K 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

#杭州#横店

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 564 interactions against 170K followers, an engagement rate of 0.333%. Measured over 41 original posts, its engagement rate beats 79% of 21,624 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 84K times each, and 0.672% of those impressions turn into an interaction. That is about 49.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 41 posts sampled, 88% carry an image or video. The account's strongest tracked post pulled 2.1K interactions, about 3.8x its own typical post. Recurring topics include #杭州, #横店.

What is 鱼鱼鱼夫's engagement rate on X?
鱼鱼鱼夫 (@C_tznl) has an engagement rate of 0.333%, based on the median interactions across 41 original posts from the last 30 days against 170,407 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.333%, 鱼鱼鱼夫 sits above the 50th percentile of the 218,727 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 @C_tznl have real engagement?
Its engagement rate beats 79% of the tracked X accounts closest to it in follower count (21,624 accounts), which puts it in the top 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 @C_tznl post?
Most posts go out around 04:00 UTC, and Thursday is its busiest day, at roughly 1.37 posts per day across the measured window.

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