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eaJ engagement report

@eaJPark - 2.0M followers on X

Measured over 2 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Per follower
1.13%
of 2.0M followers
Per impression
8.43%
271K views on a typical post
Reach
13.4%
of its followers see a post
Typical post
23K
interactions (median)
Saved
0.152%
411 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
01:00 UTC
Tuesday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 23K interactions against 2.0M followers, an engagement rate of 1.13%. Posts are seen about 271K times each, and 8.43% of those impressions turn into an interaction. That is about 13.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 01:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 107K interactions, about 4.7x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on October 7, 2026.

Where this sits in the catalog

At 1.13%, eaJ sits above the 75th percentile of the 156,027 accounts in this comparison. That places it in the top 25% band, which runs 0.604% to 2.32%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 156,027 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,983 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.1%

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 01:00 UTC, and Tuesday 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video50% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 50% 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.
  • 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 96 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

  • Nov 20, 20254.7x their median

    imagine if all the money spent on Ai was spent on trains.

    97K9.5K9844781.2M viewsView on X
  • Nov 19, 20253.5x their median

    welcome home https://t.co/TZiXOrWUw2

    69K8.1K1.8K2.0K3.1M viewsView on X
  • Nov 25, 20258.9x their median

    Halo teman-teman, apakah boleh minta RT-nya? Hari ini terjadi longsor dan banjir di Sibolga, Tapanuli Tengah, Sumatera Utara. Namun sepertinya masih kurang pemberitaannya, jadi mohon bantuannya untuk RT agar beritanya tersebar luas 🙏 https://t.co/bFwD3e7VkS

    40K31K863521.3M viewsView on X
  • Nov 21, 20252.7x their median

    NOT AGAIN 😭😭😭 https://t.co/9ksRzdP5ZA

    53K4.8K1.3K1.9K2.8M viewsView on X
  • Sep 15, 20261.8x their median

    "If you are neutral in situations of injustice, you have chosen the side of the oppressor."

    28K13K271687466K viewsView on X
  • Nov 21, 20251.6x their median

    Olivia Dean calls out Ticketmaster, Live Nation & AEG Presents over concert ticket issues: “you are providing a disgusting service. the prices at which you’re allowing tickets to be re-sold is vile and completely against our wishes. live music should be affordable and accessible…”

    35K2.3K1214761.8M viewsView on X
  • Nov 21, 20251.6x their median

    What do you mean were 95% sold of a 3k venue for a headline… God is good 😭😭😭😭 Teri makasih jakarta and see you tonight for THE BEST SHOW OF OUR LIVES!!! #FROMFRIENDSForPalestine https://t.co/vp8iUV7ENQ

    32K4.0K477789588K viewsView on X
  • Nov 26, 20253.5x their median

    The Together For Palestine team announces charity single “Lullaby” to raise funds for Gaza. It’s set for release on December 12th. The track is a reimagining of a traditional Palestinian lullaby by over 15 UK and Palestinian artists. All money raised from the release will go to Palestinian led-organisations.

    23K4.7K8739533K viewsView on X
  • Nov 21, 20253.0x their median

    Louder🗣️ #eaj1over9 https://t.co/eabloY3K4G

    19K5.1K10182162K viewsView on X
  • Nov 22, 2025

    What do you mean we sold a 3k 😭 Jakarta terima kasih 🥹🫶WE ARE ALL EAJ 😤 thank you for giving us purpose and saving my life. As always God is good, Christ is Lord and King and FREE PALESTINE #FROMFRIENDSForPalestine https://t.co/ybmXyr8bN8

    16K4.0K277374313K 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 23K interactions against 2.0M followers, an engagement rate of 1.13%. Posts are seen about 271K times each, and 8.43% of those impressions turn into an interaction. That is about 13.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 01:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 107K interactions, about 4.7x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is eaJ's engagement rate on X?
eaJ (@eaJPark) has an engagement rate of 1.13%, based on the median interactions across 2 original posts from the last 30 days against 2,022,801 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.13%, eaJ sits above the 75th percentile of the 156,027 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 @eaJPark have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @eaJPark post?
Most posts go out around 01:00 UTC, and Tuesday is its busiest day, at roughly 0.07 posts per day across the measured window.

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