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๐‘ป๐’‰๐’† ๐‘บ๐’‚๐’๐’• ๐‘ถ๐’‡ ๐‘ป๐’‰๐’† ๐‘ฌ๐’‚๐’“๐’•๐’‰ engagement report

@Shadaya_Knight - 700K followers on X

Measured over 89 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Top quarter for its size
Per follower
0.259%
of 700K followers
Per impression
2.31%
78K views on a typical post
Reach
11.2%
of its followers see a post
Typical post
1.8K
interactions (median)
Saved
0.14%
109 bookmarks on a typical post
Posting rate
4.43/day
active 50% of days
Peak time
09:00 UTC
Monday

A typical post picks up 1.8K interactions against 700K followers, an engagement rate of 0.259%. Measured over 89 original posts, its engagement rate beats 84% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 78K times each, and 2.31% of those impressions turn into an interaction. That is about 11.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 09:00 UTC, and Monday is the busiest day of the week. Of the 89 posts sampled, 46% carry an image or video. The account's strongest tracked post pulled 87K interactions, about 48x its own typical post.

Measured over 89 original posts from a 30-day window, last computed on October 3, 2026.

Compared with accounts its own size

๐‘ป๐’‰๐’† ๐‘บ๐’‚๐’๐’• ๐‘ถ๐’‡ ๐‘ป๐’‰๐’† ๐‘ฌ๐’‚๐’“๐’•๐’‰'s engagement rate beats 84% of the tracked X accounts closest to it in follower count (21,185 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 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 0.259%, ๐‘ป๐’‰๐’† ๐‘บ๐’‚๐’๐’• ๐‘ถ๐’‡ ๐‘ป๐’‰๐’† ๐‘ฌ๐’‚๐’“๐’•๐’‰ sits above the 50th percentile of the 212,482 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.696%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,482 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,403 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 percentile0.696%
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 09:00 UTC, and Monday 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video46% of posts+111%+108% to +115%34K
Outbound link2% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 46% 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.
  • 2% 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 250 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 8, 202648x their median

    ๐Ÿšจ๐ŸŒ• Lamine Yamal on Ousmane Dembรฉlรฉ not including him into his top 3 for the Ballon dโ€™Or: โ€œHeโ€™s Kylian Mbappรฉโ€™s friend, right?โ€. ๐Ÿ˜… โ€œIโ€™m very happy with the season I had. I think every time we faced each other, I probably did something that made them dislike me! And thatโ€™s normal. My relationship with Ousmane is very good, and I understand that he wants to choose other playersโ€. โ€œBut Iโ€™m very happy with what I delivered this year, and Iโ€™m confident that everyone watched it, even if he didnโ€™tโ€.

    78K6.3K1.4K1.2K5.6M viewsView on X
  • Sep 1, 202639x their median

    A mother is asking for help for her teenage son, who gets overly angry when things donโ€™t go his way, cursing at her, fighting her and his siblings, and destroying things in the house. https://t.co/gMn3BcdqS3

    53K3.4K11K3.8K14M viewsView on X
  • Sep 1, 202631x their median

    An ethnic replacement is underway in London. The white population has plummeted from 98% to current 34%. https://t.co/OoTp9Tqfao

    41K10K4.1K1.5K13M viewsView on X
  • Sep 25, 202621x their median

    Need half of Ryan Reynolds' luck ๐Ÿ˜Ž https://t.co/9RnhcdU14L

    36K1.3K4661212.2M viewsView on X
  • Sep 8, 202620x their median

    why do niggas with high IQ become unsociable at some point?

    31K1.7K1.4K8712.0M viewsView on X
  • Sep 11, 202619x their median

    This ain't funny from Michael Olise. Man needs to grow up. https://t.co/cqCBWPbpeO

    30K1.4K1.8K1.6K12M viewsView on X
  • Aug 30, 202616x their median

    The same age, the same gender. Different mentality. https://t.co/akUKnlQo1D

    25K4.1K4102252.0M viewsView on X
  • Sep 28, 202613x their median

    how does one even initiate a threesome?

    21K7125935912.8M viewsView on X
  • Sep 8, 202610x their median

    I remember one time a guy at Club gave me R2k to buy drinks for me and my friends. We went outside one by one then requested Uber to home... I bought groceries the next day๐Ÿ‘๐Ÿฟ๐Ÿ˜ญ๐Ÿ˜ญ

    17K758300139478K viewsView on X
  • Aug 20, 20269.3x their median

    30 years later and still applying pressure. ๐Ÿ˜ฎโ€๐Ÿ’จ๐Ÿ–ค Happy birthday to me. ๐Ÿฅ‚โœจ https://t.co/2VXE4gf9dq

    15K6204931931.9M 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 1.8K interactions against 700K followers, an engagement rate of 0.259%. Measured over 89 original posts, its engagement rate beats 84% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 78K times each, and 2.31% of those impressions turn into an interaction. That is about 11.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 09:00 UTC, and Monday is the busiest day of the week. Of the 89 posts sampled, 46% carry an image or video. The account's strongest tracked post pulled 87K interactions, about 48x its own typical post.

What is ๐‘ป๐’‰๐’† ๐‘บ๐’‚๐’๐’• ๐‘ถ๐’‡ ๐‘ป๐’‰๐’† ๐‘ฌ๐’‚๐’“๐’•๐’‰'s engagement rate on X?
๐‘ป๐’‰๐’† ๐‘บ๐’‚๐’๐’• ๐‘ถ๐’‡ ๐‘ป๐’‰๐’† ๐‘ฌ๐’‚๐’“๐’•๐’‰ (@Shadaya_Knight) has an engagement rate of 0.259%, based on the median interactions across 89 original posts from the last 30 days against 700,356 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.259%, ๐‘ป๐’‰๐’† ๐‘บ๐’‚๐’๐’• ๐‘ถ๐’‡ ๐‘ป๐’‰๐’† ๐‘ฌ๐’‚๐’“๐’•๐’‰ sits above the 50th percentile of the 212,482 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 @Shadaya_Knight have real engagement?
Its engagement rate beats 84% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top quarter for its size 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 @Shadaya_Knight post?
Most posts go out around 09:00 UTC, and Monday is its busiest day, at roughly 4.43 posts per day across the measured window.

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