Back to @pinkot9's profile

πŸ‘ πŸ“ engagement report

@pinkot9 - 101K followers on X

Measured over 32 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Top quarter for its size
Per follower
0.793%
of 101K followers
Per impression
12.4%
6.5K views on a typical post
Reach
6.39%
of its followers see a post
Typical post
804
interactions (median)
Saved
0.517%
34 bookmarks on a typical post
Posting rate
1.33/day
active 20% of days
Peak time
10:00 UTC
Monday

A typical post picks up 804 interactions against 101K followers, an engagement rate of 0.793%. Measured over 32 original posts, its engagement rate beats 85% of 20,444 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 6.5K times each, and 12.4% of those impressions turn into an interaction. That is about 6.39% 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 10:00 UTC, and Monday is the busiest day of the week. Of the 32 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 8.3K interactions, about 10x its own typical post. Recurring topics include #twice, #sana, #νŠΈμ™€μ΄μŠ€.

Measured over 32 original posts from a 30-day window, last computed on October 16, 2026. Recurring tags: #twice, #sana, #νŠΈμ™€μ΄μŠ€.

Compared with accounts its own size

πŸ‘ πŸ“'s engagement rate beats 85% 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 98% 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 0.793%, πŸ‘ πŸ“ sits above the 75th percentile of the 205,261 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 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 Monday 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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--3%-3% to -2%54K
  • 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 87 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Aug 25, 201810x their median

    Momo is now more confident doing adlib. It was perfectly executed. Her soft voice really suits WIL acoustic version. I'm emo. https://t.co/ULRyluiUGX

    6.8K1.4K1965View on X
  • Oct 13, 20269.3x their median

    TTT is never complete without the girls screaming 🀣 https://t.co/TP3i10hPQD

    6.5K91512345K viewsView on X
  • Oct 15, 20269.0x their median

    Anna : Unnie, do you live alone? Sana : Yes, I live alone Anna : can I come over? Sana : come on over! The excitement in Sana's voice when Anna asked to visit her place πŸ’œ https://t.co/Rqv4VSGNNI

    6.5K68116279K viewsView on X
  • Oct 13, 20267.3x their median

    πŸ“: Oh, the air is so fresh! *takes a deep breath* WELCOME BACK NATURE SON https://t.co/utRTmnJKyv

    5.2K61931343K viewsView on X
  • Oct 12, 20266.5x their median

    More than 10 years later and MoChaeng still bickering like 5 year olds πŸ˜‚ https://t.co/qv8WRb3CEd

    4.7K5620939K viewsView on X
  • Oct 14, 20264.5x their median

    Hello there, Miss Sharon https://t.co/lFDIBr6G3T

    3.4K2533320K viewsView on X
  • Oct 12, 20263.5x their median

    Momo : being a dog mom is not easy https://t.co/39zC5dx6EL

    2.6K2191827K viewsView on X
  • Oct 13, 20262.5x their median

    OMG KIM DAHYUNNN https://t.co/hMoDeNZX5J

    1.8K2440113K viewsView on X
  • Oct 12, 20262.4x their median

    Minjeongie doing "TT" dance challenge mid concert πŸ˜† https://t.co/42IVPkvmJq

    1.6K26701214K viewsView on X
  • Oct 12, 20261.5x their median

    Looks like Mina tried to tell Chaeyoung something but Chaeyoung didn't even notice πŸ₯² https://t.co/jcelScbSXy

    1.1K1033816K 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

#twice#sana#νŠΈμ™€μ΄μŠ€#tdoongz#트λ‘₯즈

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 804 interactions against 101K followers, an engagement rate of 0.793%. Measured over 32 original posts, its engagement rate beats 85% of 20,444 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 6.5K times each, and 12.4% of those impressions turn into an interaction. That is about 6.39% 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 10:00 UTC, and Monday is the busiest day of the week. Of the 32 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 8.3K interactions, about 10x its own typical post. Recurring topics include #twice, #sana, #νŠΈμ™€μ΄μŠ€.

What is πŸ‘ πŸ“'s engagement rate on X?
πŸ‘ πŸ“ (@pinkot9) has an engagement rate of 0.793%, based on the median interactions across 32 original posts from the last 30 days against 101,399 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.793%, πŸ‘ πŸ“ sits above the 75th percentile of the 205,261 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 @pinkot9 have real engagement?
Its engagement rate beats 85% of the tracked X accounts closest to it in follower count (20,444 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 @pinkot9 post?
Most posts go out around 10:00 UTC, and Monday is its busiest day, at roughly 1.33 posts per day across the measured window.

Keep going