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Paman Bajay engagement report

@jayakabajay - 169K followers on X

Measured over 36 original posts from a 30-day window, last computed on October 21, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 169K followers
Per impression
0.125%
3.6K views on a typical post
Reach
2.12%
of its followers see a post
Typical post
4
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.37/day
active 60% of days
Peak time
05:00 UTC
Sunday

A typical post picks up 4 interactions against 169K followers, an engagement rate of 0.003%. Measured over 36 original posts, its engagement rate beats 12% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 3.6K times each, and 0.125% of those impressions turn into an interaction. That is about 2.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 05:00 UTC, and Sunday is the busiest day of the week. Of the 36 posts sampled, 47% carry an image or video, 6% are part of a thread and 6% link out. The account's strongest tracked post pulled 23K interactions, about 5848x its own typical post.

Measured over 36 original posts from a 30-day window, last computed on October 21, 2026.

Compared with accounts its own size

Paman Bajay's engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,444 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 7% 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 0.003%, Paman Bajay sits below the 10th percentile of the 205,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

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 05:00 UTC, and Sunday 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video47% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 47% 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.
  • 6% 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 156 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

  • Sep 12, 20265848x their median

    21 Indonesian Artists, 57 Extinct Animals, 1 Country This year the Indonesian paleo community decided to draw as many extinct animals as they can and put them over a map of Indonesia, please enjoy our collective works! 🙏 https://t.co/CPaCOzEEM1

    14K8.9K56339668K viewsView on X
  • Oct 16, 20263649x their median

    Maaf tp tiap ngeliat status ig berantai soal awareness bencana2 gini bikin gw makin frustasi soalnya kayak knp kebanyakan nyebar awareness nya harus selalu dalam foto bencana yg sudah diedit kolase biar keliatan aestetik...

    9.9K7861.0K2.9K1.4M viewsView on X
  • Sep 11, 20263206x their median

    Klian tau gak si kasusnya si kukuh komika. Bener kata billie eilish “You give an ugly guy a chance, he thinks he rules the world.” Cowok jelek klo dapet cwek cantik laganya udah kayak pling ganteng sedunia aja si opet. Knp yh jaman skg orang2 jlek malah byk gaya byk tingkah idih🤢🤮😵

    12K8562011802.3M viewsView on X
  • Oct 17, 20263109x their median

    Kak 🤭🤭🤭 https://t.co/bmcY1QidBf

    12K54094121767K viewsView on X
  • Oct 18, 20262814x their median

    sedang menyaksikan orang bodoh dengan pd mempertontonkan kebodohan mereka, whether they’re buzzers or organic, pengguna hastag bodoh ini beneran nirempati. lagian apa masih pemilu sekarang ini? your country is literally still burning and the smoke has even reached neighbour countries. ada ratusan ribu orang kena ispa, ada hewan endemik yang kehilangan rumahnya dan ada jutaan lahan hutan yang di bakar. orang yang kalian suruh still still itu penanganannya lambat bahkan mungkin ga peduli. mengutip dari kata prabowo “ikan busuk mulai dari kepala” memang wajar pendukungnya bodoh dan ga punya empati karna yg di dukung juga sama.

    7.7K2.5K4845781.1M viewsView on X
  • Sep 14, 20262253x their median

    GA MUNGKIN KAN SHOPEE MALL KW??? sama sama polo indonesia tapi harga web sama di oren beda jauh bgt... https://t.co/gabTtkeoVi

    8.6K34761361.6M viewsView on X
  • Oct 3, 20261300x their median

    SEJENAK .... Seperti apa rencana masa depan para remaja ini ? Adakah yg peduli? https://t.co/w4LxyecCMM

    3.7K642728145839K viewsView on X
  • Oct 13, 2026941x their median

    nyoba kalkulator di iphone dan androids jawabannya berbeda... padahal masalahnya sama..😇 mana yg benar nih..? https://t.co/XWuhE6gaYb

    1.7K761.3K7261.7M viewsView on X
  • Sep 11, 2026583x their median

    Masih lucu ini 😬 https://t.co/w9fVWaxwlm

    1.2K383638142295K viewsView on X
  • Oct 15, 2026462x their median

    Berdosakah kalau kita bohong ke suami dengan bilang uang belanja yang dia kasih sudah habis? 🥹 Jadi, selama ini aku punya uang simpanan dari hasil menyisihkan sedikit uang belanja setiap hari. Nah, suamiku sudah seminggu nggak kerja, otomatis selama seminggu ini dia nggak ngasih uang belanja lagi ke aku. 😭 Kemarin malam aku bilang ke suami kalau kebutuhan rumah sudah habis dan besok nggak ada uang lagi buat beli keperluan sehari-hari. Suamiku bilang besok aja belanjanya, karena besok dia sudah bisa mulai kerja lagi. Maklum, dia dibayar harian, bukan bulanan. Pas bangun pagi, aku lihat ada uang Rp200 ribu di atas kulkas. Mungkin itu uang hasil pinjaman suami dari temannya karena dia tahu beras dan kebutuhan rumah lainnya sudah habis. 😭😭 Jujur, aku jadi kepikiran. Aku memang punya tabungan sendiri dari sisa uang belanja, tapi aku bilang uangnya sudah habis. Menurut kalian, aku salah nggak, ya? 🥹

    1.4K30322111619K 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 4 interactions against 169K followers, an engagement rate of 0.003%. Measured over 36 original posts, its engagement rate beats 12% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 3.6K times each, and 0.125% of those impressions turn into an interaction. That is about 2.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 05:00 UTC, and Sunday is the busiest day of the week. Of the 36 posts sampled, 47% carry an image or video, 6% are part of a thread and 6% link out. The account's strongest tracked post pulled 23K interactions, about 5848x its own typical post.

What is Paman Bajay's engagement rate on X?
Paman Bajay (@jayakabajay) has an engagement rate of 0.003%, based on the median interactions across 36 original posts from the last 30 days against 169,366 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Paman Bajay sits below the 10th 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 @jayakabajay have real engagement?
Its engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 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 @jayakabajay post?
Most posts go out around 05:00 UTC, and Sunday is its busiest day, at roughly 2.37 posts per day across the measured window.

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