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Chris engagement report

@OneyNG - 390K followers on X

Measured over 1 original post from a 30-day window, last computed on September 10, 2026.

Engagement

Per follower
1.81%
of 390K followers
Per impression
4.23%
168K views on a typical post
Reach
42.7%
of its followers see a post
Typical post
7.1K
interactions (median)
Saved
0.803%
1.3K bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
20:00 UTC
Saturday

Early reading. We have captured 1 original post 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 7.1K interactions against 390K followers, an engagement rate of 1.81%. Posts are seen about 168K times each, and 4.23% of those impressions turn into an interaction. That is about 43.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 20:00 UTC, and Saturday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 2.8x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on September 10, 2026.

Where this sits in the catalog

At 1.81%, Chris sits above the 75th percentile of the 212,741 accounts in this comparison. That places it in the top 25% band, which runs 0.697% to 2.61%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 212,741 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,375 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 percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.8%

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 Saturday 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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--8%-9% to -7%41K
  • 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 23 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • Jun 27, 20262.8x their median

    brings a tear to my belly https://t.co/1o55rVMP3w

    19K73722218304K viewsView on X
  • Aug 3, 20252.7x their median

    Welp sorry to be annoying on the timeline, but I wanted to tell people who struggle with back pain how I solved mine. I didn’t want to publicly say this until I was 100% sure of it, but if you have a chronic pain thing of any kind read these books Healing back pain by Sarno and The Nervous system reset Struggled with horrible back pain for 7 years straight. Did physical therapy for a few years, lay hanging in torture devices to realign my spine over a year, acupuncture, lost weight, epidural shot. Nothing worked. Simply reading the books did. Some people are healed as soon as they read the books, for me it took about a year of practicing what the books preach. Not fully there but I’m 80% better than I was. I still have flare ups but waaaaay less than I did before. I went to 4 separate spine surgeons who were all ready to operate on me, but one of them thankfully convinced me to read that Sarno book first. He could tell from meeting me that I had all of the personality traits of a person who would suffer back pain. It’s actually pretty predictable. Perfectionists, people pleasers, repressed emotions, the book has way more. He said that he knew if he operated on me, I would still feel pain regardless, because most people who get back surgery don’t feel much better, or the pain will travel somewhere new. Long story short, your brain creates pain to protect you. Repressing emotions consistently can also trick your brain into thinking they are a threat and it creates pain to distract you from them. Doctors telling you you are fucked makes you more scared therefore creates more pain. They will point out, bulging discs, stenosis, and abnormal growths on your spine, but for some reason, never mention that most people have these things and cause zero pain. There’s way more to it, but that’s the gist of it. Get that damn book, I regret not reading it at the start. Unfortunately, I’ve realized that most back pain is kind of a word-of-mouth thing that infects people when you start worrying them about it. So probably by talking about it a lot it has probably made people worry about it therefore causing it lol sorry about that. Good news is you can undo it. And if this all sounds schizo, I thought so too 🤷 your brain can do some crazy things. Same idea as phantom pain, you can feel things without your arm, even really being there. Anyway teehee done talking about it hope everyone is doing well

    18K836395831.1M viewsView on X
  • Mar 4, 2026

    Happy birthday @psychicpebble ❤️🎉🥳 birthday blowout starts NOW!!!!

    8.9K4329416148K viewsView on X
  • Aug 15, 2026

    https://t.co/44cAVyjgj5

    6.8K382653208K viewsView on X
  • Jun 27, 2026

    epic bacon https://t.co/SHZqqXJInc

    6.6K20877684K viewsView on X
  • Jun 28, 2026

    TooManyGames was awesome! Sorry I lied about going but actually I’m not, the line was nonstop all the way through, thank you so much for to playing my game 🙏

    5.3K103665343K viewsView on X
  • Jun 15, 2026

    Bowlbo got nominated for best platformer at TooManyGames! Go there and play it in like a week 🙏 https://t.co/pBpeWztSSz

    4.4K3118014140K viewsView on X
  • Jul 4, 2026

    Really great in depth article about Bowlbo at TooManyGames. ONLY thing I’ll say is I don’t think Jake meant to say the game will be out in 3 months. We’re putting the TMG demo on steam soon, that’s what he meant. Keep an eye out ! https://t.co/22HZRax4IS

    1.5K60331138K viewsView on X
  • Jun 9, 2026

    Happy birthday @DexTheSwede !!! 🥳🪳

    1.3K3018048K viewsView on X
  • Jun 27, 2026

    I didn't get to play Bowlbo yet but I watched some friends play it. I got to talk to Oney and Tomar for a bit. Oney let me take this cool Bowlbo postcard thing. Game looks great, gonna try and play it tomorrow. https://t.co/FjR1vTTOyT

    2301119K 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 7.1K interactions against 390K followers, an engagement rate of 1.81%. Posts are seen about 168K times each, and 4.23% of those impressions turn into an interaction. That is about 43.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 20:00 UTC, and Saturday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 2.8x its own typical post. Only 1 original post 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 Chris's engagement rate on X?
Chris (@OneyNG) has an engagement rate of 1.81%, based on the median interactions across 1 original posts from the last 30 days against 390,164 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.81%, Chris sits above the 75th percentile of the 212,741 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 @OneyNG have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @OneyNG post?
Most posts go out around 20:00 UTC, and Saturday is its busiest day, at roughly 0.03 posts per day across the measured window.

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