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SHERLOCK🐐🇳🇬 engagement report

@KINSH200 - 478K followers on X

Measured over 22 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 478K followers
Per impression
0.313%
20K views on a typical post
Reach
4.08%
of its followers see a post
Typical post
61
interactions (median)
Saved
0.005%
1 bookmarks on a typical post
Posting rate
1.43/day
active 37% of days
Peak time
14:00 UTC
Thursday

A typical post picks up 61 interactions against 478K followers, an engagement rate of 0.013%. Measured over 22 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 20K times each, and 0.313% of those impressions turn into an interaction. That is about 4.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video. The account's strongest tracked post pulled 8.7K interactions, about 143x its own typical post. Recurring topics include #bet9jacode, #lowkey.

Measured over 22 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #bet9jacode, #lowkey.

Compared with accounts its own size

SHERLOCK🐐🇳🇬's engagement rate beats 37% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 22% 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 0.013%, SHERLOCK🐐🇳🇬 sits above the 10th percentile of the 204,880 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 14:00 UTC, and Thursday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video64% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 64% 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 69 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

  • Sep 6, 2026143x their median

    My best moment in the interview https://t.co/Du7J7jrTCb

    8.0K6154519187K viewsView on X
  • Sep 3, 2026113x their median

    Guy I don laugh tire 😭😂 this peller sabi hustle gan https://t.co/3pokbQbne7

    5.6K746340216282K viewsView on X
  • Aug 27, 202690x their median

    Be like say i win 😭 https://t.co/lqzTD37j6D

    5.1K20416315146K viewsView on X
  • Sep 18, 202687x their median

    Next time you will think twice before following nyash 😂😂 https://t.co/McF04dxVuQ

    4.8K4045316268K viewsView on X
  • May 31, 202622x their median

    Comment ❤️ Make I send dinner❤️ https://t.co/IBSnLcUdvi

    7872413316122K viewsView on X
  • Aug 27, 202622x their median

    God go help us today Make I fund 20 people❤️ https://t.co/c3VIHJMbrn

    824168325738K viewsView on X
  • Aug 28, 202619x their median

    Sportybet gift for 200 people?? You want?

    790114283136K viewsView on X
  • Sep 5, 202619x their median

    So many people dont know why @Ekitipikin was called bookies nightmare Mayor sent so many bookies to the grave back then Eg frapapa,made msport change lines etc. Put some respect on His name. 👏👏

    9711177716217K viewsView on X
  • Aug 28, 202615x their median

    Redeem it on sporty voucher E39N2V

    7843665180K viewsView on X
  • Sep 3, 202614x their median

    2 people 5k each Just 2

    43588353836K 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

#bet9jacode#lowkey

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 61 interactions against 478K followers, an engagement rate of 0.013%. Measured over 22 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 20K times each, and 0.313% of those impressions turn into an interaction. That is about 4.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video. The account's strongest tracked post pulled 8.7K interactions, about 143x its own typical post. Recurring topics include #bet9jacode, #lowkey.

What is SHERLOCK🐐🇳🇬's engagement rate on X?
SHERLOCK🐐🇳🇬 (@KINSH200) has an engagement rate of 0.013%, based on the median interactions across 22 original posts from the last 30 days against 478,405 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, SHERLOCK🐐🇳🇬 sits above the 10th percentile of the 204,880 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 @KINSH200 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 @KINSH200 post?
Most posts go out around 14:00 UTC, and Thursday is its busiest day, at roughly 1.43 posts per day across the measured window.

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