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Jamie East engagement report

@jamieeast - 85K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Per follower
0.077%
of 85K followers
Per impression
0.645%
10K views on a typical post
Reach
11.9%
of its followers see a post
Typical post
66
interactions (median)
Saved
0.005%
0 bookmarks on a typical post
Posting rate
0.13/day
active 7% of days
Peak time
20:00 UTC
Friday

Early reading. We have captured 4 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 66 interactions against 85K followers, an engagement rate of 0.077%. Posts are seen about 10K times each, and 0.645% of those impressions turn into an interaction. That is about 11.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 20:00 UTC, and Friday is the busiest day of the week. The account's strongest tracked post pulled 179K interactions, about 2716x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on September 30, 2026. Recurring tag: #bigbrother.

Where this sits in the catalog

At 0.077%, Jamie East sits above the 25th percentile of the 213,472 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.699%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,472 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,408 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 percentile0.147%
75th percentile0.699%
90th percentile2.61%
99th percentile82.9%

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 20:00 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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 85 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 6, 20242716x their median

    My life has changed. Praise Jesus. https://t.co/E7ePECmrqR

    148K13K14K5.1K27M viewsView on X
  • Oct 15, 20241005x their median

    Lol WTF is this? The more videos I see, it gets worse! 🤣 https://t.co/TvdbSz15zN

    49K8.1K6.4K2.5K7.2M viewsView on X
  • Nov 2, 2024667x their median

    Trump appears to be unraveling live on stage “When I say insane asylums, and then I say, Doctor Hannibal Lecter, does anybody know? They go crazy. They say, oh, he brings up these names out of— Well, that's genius. Right. Doctor Hannibal Lecter. There's nobody worse than him. Silence of the Lambs. Who the hell else would even remember that? I have a great memory, but they always hit me. I don't bring it up too much because they have to take such a— he brought up Hannibal Lecter. What does that have to do with this? What is it? It has everything to do with it, right? He was… So I've done something for you for you that I haven't done in 20 speeches. I brought up Doctor Hannibal Lecter and we're allowing him, you watch, you watch these fake people will say again, he brought up Hannibal Lecter has absolutely nothing to do. You know I do the weave, right? The weave. It's genius. You bring up Hannibal Lecter, you mention insane asylum. Hannibal Lecter. You go out, no. There'll be a time in life where the weave won't finish properly at the bottom and then we can talk. But right now it's pure genius. Hey, I have an uncle, my uncle, Uncle John, my father's brother, 41 years at MIT, longest serving professor has so many degrees, he didn't know what the hell to do with them all in the most complicated. I understand a lot of this stuff, you know, I believe in that. Like, I mean, Jack Nicklaus is not gonna produce a bad golfer. Right. You know, that's the way it works. It's just one of those things and it's in the family and it's whatever”

    31K6.8K3.3K2.7K5.8M viewsView on X
  • Nov 4, 2024315x their median

    Kamala Harris will win comfortably, because: • Biden’s admin has been solid • Trump’s lost ground since 2016 • The young Black male votes which Trump needs didn’t turn out in 16, 18, 20, or 22 • Young women like Kamala + vote ✴️Ignore polls—they’re herding, after past misses

    13K1.3K4.4K2.1K5.9M viewsView on X
  • Oct 13, 2024283x their median

    Oasis confirms they're gonna be cool to tour https://t.co/vEJgCcuaIB

    12K9862.4K3.1K14M viewsView on X
  • Nov 2, 2024231x their median

    Forgiveness is available for all of us.

    13K9421.1K2991.2M viewsView on X
  • Sep 5, 2024188x their median

    A staggeringly dark moment in British TV history. Watch this unseen footage and remember: as Jeremy Kyle is barracking the late Steve Dymond and telling him, "we stand 100% by that [lie detector test]," ITV later admitted that the tests were unreliable. https://t.co/048yikektW

    10K9506335753.6M viewsView on X
  • Sep 6, 2024164x their median

    Just watched this 12 times. Going on 13. https://t.co/MuWRfh9H1X

    8.5K1.5K388487970K viewsView on X
  • Nov 1, 202442x their median

    This is @MartinDaubney of @GBNEWS blaming the government for the suicide of a UK farmer. Has he checked whether this story is true? It’s an internet meme that some have suggested has been around since 2016. Journalists check sources. This is grossly irresponsible. https://t.co/wcR4FwiWFC

    2.2K38416032149K viewsView on X
  • Aug 7, 202537x their median

    Tom Holland looking like he's had the shit beating out of him on the London set of Spider-man Brand New Day. https://t.co/7DsYTIl6ii

    2.3K112211785K 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

#bigbrother

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 66 interactions against 85K followers, an engagement rate of 0.077%. Posts are seen about 10K times each, and 0.645% of those impressions turn into an interaction. That is about 11.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 20:00 UTC, and Friday is the busiest day of the week. The account's strongest tracked post pulled 179K interactions, about 2716x its own typical post. Only 4 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 Jamie East's engagement rate on X?
Jamie East (@jamieeast) has an engagement rate of 0.077%, based on the median interactions across 4 original posts from the last 30 days against 85,272 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.077%, Jamie East sits above the 25th percentile of the 213,472 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 @jamieeast have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @jamieeast post?
Most posts go out around 20:00 UTC, and Friday is its busiest day, at roughly 0.13 posts per day across the measured window.

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