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Ronoh K Clinton engagement report

@RonohClinton - 92K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 20, 2026.

Engagement

Middle of its size range
Per follower
0.042%
of 92K followers
Per impression
2.80%
1.4K views on a typical post
Reach
1.51%
of its followers see a post
Typical post
39
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.83/day
active 53% of days
Peak time
20:00 UTC
Sunday

A typical post picks up 39 interactions against 92K followers, an engagement rate of 0.042%. Measured over 35 original posts, its engagement rate beats 36% of 15,519 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 1.4K times each, and 2.80% of those impressions turn into an interaction. That is about 1.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 20:00 UTC, and Sunday is the busiest day of the week. Of the 35 posts sampled, 37% carry an image or video. The account's strongest tracked post pulled 32K interactions, about 708x its own typical post.

Measured over 35 original posts from a 30-day window, last computed on September 20, 2026.

Compared with accounts its own size

Ronoh K Clinton's engagement rate beats 36% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 6 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 71% 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 0.042%, Ronoh K Clinton sits above the 25th percentile of the 156,969 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,969 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,068 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 percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 20:00 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: 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: 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 video37% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 37% 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 70 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

  • Mar 16, 2021708x their median

    🔝 Toni Kroos OR Luka Modrić? #UCL https://t.co/qSYgKfBNSH

    29K1.3K925767View on X
  • Aug 20, 2026487x their median

    🚨🟡🔵 Leeds United have rejected a loan approach from Polish side Radomiak Radom for Alfie Cresswell. Loan proposal rejected by #lufc while Cresswell remains a player attracting interest. 🇵🇱 https://t.co/y3iBUAZ9xD

    18K6643791152.5M viewsView on X
  • Aug 31, 2026349x their median

    🚨😅 | OFFICIAL: Como 1907 have been granted permission to host Champions League games at their lake-side home stadium. That means Manchester United will now play against them there in October. [@NathSalt1] https://t.co/gJSjRuHmYU

    13K41350621.0M viewsView on X
  • Aug 31, 2026267x their median

    Come on Villa Park 😤🏠 https://t.co/I9zZ1Xhwhd

    9.6K457197165385K viewsView on X
  • Sep 18, 202680x their median

    Losing 3–0 on a Friday after work, with the whole weekend ahead of you. Imagine how ruined the weekend is for Chelsea fans. 😭😀😆😆

    2.5K517233125K viewsView on X
  • Jan 6, 202146x their median

    The best ever goal in Manchester derby! #MUFC #MUNMCI https://t.co/cycvtus0KH

    1.4K3003131View on X
  • Sep 6, 20263.7x their median

    Amad saved Mbeumo’s ass a lot last season. His overlapping runs from the wing often covered up Mbeumo’s poor performances. Now Mbeumo has to cover the whole flank with Dalot, and the two of them look terrible together.

    12113633.7K viewsView on X
  • Sep 16, 20263.6x their median

    Who pays Manchester United players because these guys are rubbish employees.

    12212502.2K viewsView on X
  • Aug 18, 20263.5x their median

    Eras comes to an end. https://t.co/FR1kfROdcE

    1269111.8K viewsView on X
  • Jul 22, 20263.5x their median

    Vibes 🥰 https://t.co/CGWAafSvzn

    1268122.6K 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 39 interactions against 92K followers, an engagement rate of 0.042%. Measured over 35 original posts, its engagement rate beats 36% of 15,519 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 1.4K times each, and 2.80% of those impressions turn into an interaction. That is about 1.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 20:00 UTC, and Sunday is the busiest day of the week. Of the 35 posts sampled, 37% carry an image or video. The account's strongest tracked post pulled 32K interactions, about 708x its own typical post.

What is Ronoh K Clinton's engagement rate on X?
Ronoh K Clinton (@RonohClinton) has an engagement rate of 0.042%, based on the median interactions across 35 original posts from the last 30 days against 92,279 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.042%, Ronoh K Clinton sits above the 25th percentile of the 156,969 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 @RonohClinton have real engagement?
Its engagement rate beats 36% of the tracked X accounts closest to it in follower count (15,519 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 @RonohClinton post?
Most posts go out around 20:00 UTC, and Sunday is its busiest day, at roughly 1.83 posts per day across the measured window.

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