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๐’๐’‚๐’๐’‚ engagement report

@nana_challenge - 102K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Middle of its size range
Per follower
0.033%
of 102K followers
Per impression
0.597%
5.7K views on a typical post
Reach
5.56%
of its followers see a post
Typical post
34
interactions (median)
Saved
0.018%
1 bookmarks on a typical post
Posting rate
1.8/day
active 67% of days
Peak time
09:00 UTC
Friday

A typical post picks up 34 interactions against 102K followers, an engagement rate of 0.033%. Measured over 9 original posts, its engagement rate beats 33% 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 5.7K times each, and 0.597% of those impressions turn into an interaction. That is about 5.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 09:00 UTC, and Friday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video and 56% are part of a thread. The account's strongest tracked post pulled 26K interactions, about 760x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 15, 2026. Recurring tag: #ad.

Compared with accounts its own size

๐’๐’‚๐’๐’‚'s engagement rate beats 33% 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 28% 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 0.033%, ๐’๐’‚๐’๐’‚ sits above the 25th percentile of the 205,374 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 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 09:00 UTC, and Friday 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 103 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

  • May 25, 2025760x their median

    ใ€Œใชใ‚“ใ‹็–ฒใ‚Œใ‚„ใ™ใ„...ใ€ใฃใฆไบบใฏใ€ใƒ‰ใƒฉใˆใ‚‚ใ‚“ใ‚’็‚Š้ฃฏๅ™จใซใถใก่พผใ‚“ใงใฟใฆใ€‚ใŠ็ฑณใจใ‹็™ฝๆนฏใ€ใŠ้‹ใซใ„ใ‚Œใฆใ‚ฐใƒฉใ‚ฐใƒฉใ™ใ‚‹ใ ใ‘ใงใ€ใ‹ใ‚“ใŸใ‚“ใซ้‰„ๅˆ†ไธ่ถณใ‚’ใตใ›ใ’ใ‚‹ใ€‚ใจใซใ‹ใๅฏ่ตทใใŒใ™ใ”ใƒผใๆฅฝใซใชใฃใฆใ—ใƒ›ใƒณใƒˆ่ชฟๅญใ„ใ„ใ€‚ๅคใฏๆฑ—ใจใ„ใฃใ—ใ‚‡ใซ้‰„ๅˆ†ๆตใ‚Œใกใ‚ƒใ†ใ‹ใ‚‰ๅคใƒใƒ†้˜ฒๆญขใซใ‚‚โ—Žใงใ‚‚ใญ https://t.co/9gXkIb1pde

    24K1.6K393364.8M viewsView on X
  • Apr 4, 202633x their median

    ใ‚ชใƒซใƒ“ใ‚นใฎใƒฉใ‚ฆใƒณใ‚ธใฃใฆ่ถ…็ฉดๅ ดใ ใ‚ˆใ€œ๏ผใ‚ณใƒณใ‚ปใƒณใƒˆใฎใ‚ใ‚‹ใƒœใƒƒใ‚ฏใ‚นๅธญใฏใ€PCไฝœๆฅญใ—ใŸใ‚Šใƒกใ‚คใ‚ฏใชใŠใ—ใŒ็„กๆ–™ใงใคใ‹ใˆใฆใ€1Fใงใฏๆœฌๆ ผ็š„ใ‚นใ‚ญใƒณใƒใ‚งใƒƒใ‚ฏใ‚„ใ‚ซใƒ•ใ‚งใ‚‚ใ‚ใฃใฆๅ……้›ปใ—ใŸใ„ๆ™‚ใจใ‹1ๆ™‚้–“ใใ‚‰ใ„ใ‚†ใฃใใ‚ŠใงใใŸใฎใ€‚่ฉณใ—ใใฏ๐Ÿ‘‡ https://t.co/UUnikunlLL

    1.0K6045226K viewsView on X
  • Oct 2, 202622x their median

    ใƒžใƒซใ‚ธใ‚งใƒฉใ‚ˆใๅˆ†ใ‹ใ‚‰ใ‚“ใฃใฆไบบใฏ่ฆ‹ใฆ โธโ‹†โธโ‹† https://t.co/aLObQ12mcy

    706491044K viewsView on X
  • Sep 25, 20268.3x their median

    ๆฅตไธŠใฎไป•ไธŠใŒใ‚Šใงๅคงไบบๆฐ—ใฎใ‚ฏใƒฌใƒ‰ไธ‹ๅœฐใงใ™ใŒใ€ๆ–ฐไฝœใจใฎไฝฟใ„ๅˆ†ใ‘ใŒๆฐ—ใซใชใฃใŸใฎใงใ€ๆˆๅˆ†ใ€ใ‚ซใƒใƒผๅŠ›ใ€่ณชๆ„Ÿใ‚’ๆฏ”ในใพใ—ใŸใ€‚ใใ‚‚ใใ‚‚ๆ–นๅ‘ๆ€งใŒๅ…จใ้•ใฃใฆใ„ใŸ๐Ÿ‘‡ https://t.co/O4zmhGsRMm

    269102288K viewsView on X
  • Oct 13, 20261.7x their median

    Anuaใฎๅ€‹ๅŒ…่ฃ…ใฏใ‚ใกใ‚ƒใใกใ‚ƒไพฟๅˆฉใ€‚Amazonใฎใƒ—ใƒฉใ‚คใƒ ใ‚ปใƒผใƒซใงๅฟ˜ใ‚Œใš่ฒทใ„ใพใ™โœ๐ŸปโŠนหšโ‚Š https://t.co/Ojb3N4muRg

    498017.1K viewsView on X
  • Sep 27, 2026

    ็พŽๅฎนๅฎถใฎๆ„›็”จ่€…ใ‚‚ๅคšใ„RFใฎใƒ›ใƒผใƒ ใ‚ฑใ‚ขใ‚’ๆ–ฐใ—ใใŠ่ฟŽใˆใ€‚ๅพ“ๆฅๆฉŸใงใ‚‚ใปใ†ใ‚Œใ„็ทšใพใ‚ใ‚Šใฎๅค‰ๅŒ–ใ‚’ใ‹ใชใ‚ŠๅฎŸๆ„Ÿใ—ใฆใ„ใŸใฎใงใ€ไปŠๅ›žใ‚‚ๆœŸๅพ…ๅคงใ€‚ ็พŽๅฎนๅŒป็™‚ใจไธฆ่กŒใ—ใฆใ€ๆ—ฅใ€…ใฎใƒ›ใƒผใƒ ใ‚ฑใ‚ขใ‚‚้‡่ฆ–ใ€‚RFใฏ็†ฑไฝœ็”จใซใ‚ˆใฃใฆ็œŸ็šฎๅฑคใซใ‚ขใƒ—ใƒญใƒผใƒใ—ใ€ใ‚ณใƒฉใƒผใ‚ฒใƒณใฎๅ†ๆง‹็ฏ‰ใ‚’ไฟƒใ™ใจใ•ใ‚Œใ‚‹ใ‚ฑใ‚ขใ€‚ๅณๅŠนๆ€งใฏใชใ„ใ‘ใฉ็ขบๅฎŸใซๅŠนใ„ใฆใใ‚‹ใฎใŒใŠๆฐ—ใซๅ…ฅใ‚Šใ€‚

    309205.1K viewsView on X
  • Sep 26, 2026

    ใƒใ‚คใƒ‰ใƒฉAZใฏใ€ŒใƒซใƒซใƒซใƒณใฎไบบใŒใƒกใ‚คใ‚ฏใ•ใ‚“ใจ่ฉฑใ—ใŸใจใใ€ไธ‹ๅœฐใพใˆใซไฝฟใˆใ‚‹ใƒ‘ใƒƒใ‚ฏใฃใฆใชใ„ใ‚ˆใญใ€ใจใ„ใ†ไผš่ฉฑใ‹ใ‚‰็”Ÿใพใ‚ŒใŸใ€ใƒกใ‚คใ‚ฏๅ‰ใซไฝฟใ„ใ‚„ใ™ใ„ใƒžใ‚นใ‚ฏใ€‚ใ‚ขใ‚ผใƒฉใ‚คใƒณ้…ธ่ช˜ๅฐŽไฝ“*ใ‚’้…ๅˆใ—ใฆใ‚‹ใ‹ใ‚‰ใ€่‚Œ่’ใ‚Œใ€็šฎ่„‚ใฎใƒ™ใ‚ฟใคใใ‚„ใƒ†ใ‚ซใƒชใ‚’ๆ•ดใˆใ€ใพใ ใพใ ๅดฉใ‚ŒใŒๆฐ—ใซใชใ‚‹ๅญฃ็ฏ€ใซใ‹ใชใ‚Šใƒ”ใƒƒใ‚ฟใƒชใ€‚ไฝฟใฃใฆใ‚‹ๆ—ฅใฏๆ˜Žใ‚‰ใ‹ใซใƒ„ใƒคใƒ„ใƒคใงใ‹ใชใ‚ŠใŠๆฐ—ใซๅ…ฅใ‚Šโธโ‹†โธโ‹† ใ€PRใ€‘ใ€ใƒซใƒซใƒซใƒณใ€‘

    267104.9K viewsView on X
  • Oct 10, 2026

    AESTURAใ‹ใ‚‰็ง‹ใฎใƒ‡ใƒชใ‚ฑใƒผใƒˆใช่‚ŒใซใดใฃใŸใ‚Šใชใ€ใ†ใ‚‹ใŠใ„ใƒžใ‚นใ‚ฏใŒใƒญใƒ•ใƒˆใซใฆๅ…ˆ่กŒ็™บๅฃฒโธโ‹†โธโ‹† ใ‚ปใƒฉใƒŸใƒ‰NPใ€ใƒ„ใƒœใ‚ฏใ‚ตใ‚จใ‚ญใ‚นใ€ใƒ’ใ‚ขใƒซใƒญใƒณ้…ธNaใชใฉใฎไฟๆนฟๆˆๅˆ†ใ‚’้…ๅˆใ—ใ€่‚Œใฎไนฑใ‚Œใ‚„ใ™ใ„ใ‚ณใƒณใƒ‡ใ‚ฃใ‚ทใƒงใƒณใฎใจใใซไฝฟใ„ใŸใ„่จญ่จˆใ€‚็‹ฌ่‡ชๆŠ€่ก“ใฎ3ๅฑคใƒฌใ‚คใƒคใƒผใ‚ทใƒผใƒˆใŒ่‚Œใซใ—ใฃใ‹ใ‚Šๅฏ†็€ใ—ใ€ใฒใ‚“ใ‚„ใ‚Šใจใ—ใŸไฝฟใ„ๅฟƒๅœฐใ€‚ไฝฟใฃใŸๆ—ฅใฏๅค•ๆ–นใงใ‚‚ใ—ใฃใจใ‚Šใ‚‚ใกใ‚‚ใกใงใ€ไปŠๅนดใฎ็ง‹ๅ†ฌใซใฏๆดป่บใฎไบˆๆ„Ÿ๐ŸŽถใ”ๆไพ›ใ„ใŸใ ใใพใ—ใŸใ€‚

    257104.9K viewsView on X
  • Sep 28, 2026

    ไฟกใ˜ใ‚‰ใ‚“ใชใ„....ไธ‡ๅนด่„‚ๆ€ง่‚Œใชใฎใซใƒกใ‚คใ‚ฏๅดฉใ‚Œใชใ„ใƒžใ‚นใ‚ฏใซๅ‡บไผšใฃใŸ... https://t.co/KtvgLYwhG3

    2541111K viewsView on X
  • Oct 1, 2026

    ๆ‰‹ๅ…ƒใŒ็พŽๅฅณใซใชใ‚‹ไธ€่ปใ‚ณใ‚นใƒก โธโ‹†โธโ‹† https://t.co/0G9RAvk0ox

    253205.7K 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

#ad

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 34 interactions against 102K followers, an engagement rate of 0.033%. Measured over 9 original posts, its engagement rate beats 33% 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 5.7K times each, and 0.597% of those impressions turn into an interaction. That is about 5.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 09:00 UTC, and Friday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video and 56% are part of a thread. The account's strongest tracked post pulled 26K interactions, about 760x its own typical post.

What is ๐’๐’‚๐’๐’‚'s engagement rate on X?
๐’๐’‚๐’๐’‚ (@nana_challenge) has an engagement rate of 0.033%, based on the median interactions across 9 original posts from the last 30 days against 102,114 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.033%, ๐’๐’‚๐’๐’‚ sits above the 25th percentile of the 205,374 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 @nana_challenge have real engagement?
Its engagement rate beats 33% 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 @nana_challenge post?
Most posts go out around 09:00 UTC, and Friday is its busiest day, at roughly 1.8 posts per day across the measured window.

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