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Jamie Kingston engagement report

@jamiekingston - 85K followers on X

Measured over 12 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Middle of its size range
Per follower
0.043%
of 85K followers
Per impression
1.10%
3.4K views on a typical post
Reach
3.94%
of its followers see a post
Typical post
37
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.2/day
active 53% of days
Peak time
17:00 UTC
Tuesday

A typical post picks up 37 interactions against 85K followers, an engagement rate of 0.043%. Measured over 12 original posts, its engagement rate beats 37% 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 3.4K times each, and 1.10% of those impressions turn into an interaction. That is about 3.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 67% link out. The account's strongest tracked post pulled 115 interactions, about 3.1x its own typical post. Recurring topics include #funtok, #marianhood, #newlisting.

Measured over 12 original posts from a 30-day window, last computed on October 1, 2026. Recurring tags: #funtok, #marianhood, #newlisting.

Compared with accounts its own size

Jamie Kingston's engagement rate beats 37% 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 43% 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 0.043%, Jamie Kingston sits above the 25th percentile of the 205,048 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 205,048 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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video58% of posts+111%+108% to +115%34K
Outbound link67% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 58% 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.
  • 67% 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 223 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 29, 20263.1x their median

    Gamboled a bag here on $COON. Paired with $AMZN stock you get for holding and reminds me of the Amazon Raccoon thief character they used to have on the Prime App. Also seeing this is $PENPE team which is running into MILLIS lately so with snipers looking to be out should be good r/r here for some slow cooked X’s. DYOR NFA. https://t.co/p8NROcLwlV

    492928925K viewsView on X
  • Aug 19, 20262.4x their median

    1/6 What exactly is SCOPL? 🦊🔎 A fully on-chain, non-custodial limit order protocol built on Robinhood Chain. Your limit order doesn’t sit in an order book. It’s placed directly inside liquidity at your target price. Here’s how it works 🧵👇

    581610613K viewsView on X
  • Sep 2, 20262.1x their median

    $CHIP on Robinhood $AI/NVDA 300m $CHIP/AMD ???? do you see the vision? During $Sol era in 2024, we had many dog runners such as $Wif 4 billion ATH, $Myro 300 mill ATH and many others. This time we have stock memes on Robinhood, very creative too. I’m sure there will be a few hitting 100M+ We are early FYI: I called WIF and MYRO under 1 mil mc, you can check my tweets. https://t.co/YFKXWobXH8

    6249139K viewsView on X
  • Aug 29, 2026

    $AAPLcat 0x73a9999f6e9db138e1ae4595fde049a401161e18 Apple has one of the strongest cult-like consumer communities in the world. Cats have one of the strongest cult-like communities on the internet. $APPLcat combines both. And being paired with $AAPL makes it memeable. the internet’s favorite animal paired with the world’s most iconic consumer brand. If Robinhood Chain becomes the home of stock-native memes, APPLcat has a shot at becoming the cultural meme of Apple onchain.

    406904.8K viewsView on X
  • Sep 26, 2026

    🔥 New Listing @penpehood 🔥 $PENPE is now listed on FunTok. 💰 Market Cap: $2.46 M 🔎 Discover: https://t.co/bUyFR2K9eX #NewListing #FunTok #Robinhood https://t.co/7hxHZXg4VP

    376537.0K viewsView on X
  • Sep 10, 2026

    Calling a mini dip on $PENPE from 400K ath now 230K the meme has strong cult behind it with 800 holders and including fomo traders 160 chads. Narra is goated, father of pepe Higher https://t.co/pOa286C2MW

    2661804.0K viewsView on X
  • Sep 17, 2026

    Our telegram got 80x on $USDC Channel is in bio, join and don’t miss out on this free monies https://t.co/wdH8Ga7nbl

    434102.6K viewsView on X
  • Jul 14, 2026

    You guys got to pay attention to $Zinc @Zinc_Cash is a gamified mining and PVP platform on solana, they’ve partnered with arcium and they are the first privacy mining coin on solana which did almost 1% of all transaction on solana in it's first month. Fees goes straight to buybacks/burns Zinc is already one of the highest revenue protocols on $SOL despite being very new. Very bullish on $Zinc, with current model and set up, at this rate the project will be huge in the coming months. CA: zinc155BS4mSPk8GXQj4R5hkVDQXcW253pTYq5SGyfi Mine: https://t.co/DDnDKMoOGh X: https://t.co/RxO8f1ySPM Discord: https://t.co/LRuFCjKQ78

    3111602.4K viewsView on X
  • Sep 30, 2026

    Dev burned today wallet of $COON and said will make some announcements of minor listings too, while community is growing and we are up to 900 holders so far. Here calling the dip at 111K mc from 450K ATH https://t.co/rroRFWglKE https://t.co/UWU5Y7CjWs

    3311112.7K viewsView on X
  • Aug 29, 2026

    Pon since birth upgraded with Time. https://t.co/pbGHVQxwaW

    314614.0K 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

#funtok#marianhood#newlisting#robinhood

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 37 interactions against 85K followers, an engagement rate of 0.043%. Measured over 12 original posts, its engagement rate beats 37% 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 3.4K times each, and 1.10% of those impressions turn into an interaction. That is about 3.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 67% link out. The account's strongest tracked post pulled 115 interactions, about 3.1x its own typical post. Recurring topics include #funtok, #marianhood, #newlisting.

What is Jamie Kingston's engagement rate on X?
Jamie Kingston (@jamiekingston) has an engagement rate of 0.043%, based on the median interactions across 12 original posts from the last 30 days against 85,255 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.043%, Jamie Kingston sits above the 25th percentile of the 205,048 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 @jamiekingston have real engagement?
Its engagement rate beats 37% 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 @jamiekingston post?
Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 1.2 posts per day across the measured window.

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