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Khaya Dlanga engagement report

@khayadlanga - 580K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Middle of its size range
Per follower
0.122%
of 580K followers
Per impression
3.60%
20K views on a typical post
Reach
3.38%
of its followers see a post
Typical post
706
interactions (median)
Saved
0.082%
16 bookmarks on a typical post
Posting rate
1.2/day
active 37% of days
Peak time
09:00 UTC
Saturday

A typical post picks up 706 interactions against 580K followers, an engagement rate of 0.122%. Measured over 9 original posts, its engagement rate beats 74% 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 3.60% of those impressions turn into an interaction. That is about 3.38% 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, though only 37% of days saw any activity at all. Most posts go out around 09:00 UTC, and Saturday is the busiest day of the week. Of the 9 posts sampled, 11% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 29x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 10, 2026.

Compared with accounts its own size

Khaya Dlanga's engagement rate beats 74% 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 83% 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 0.122%, Khaya Dlanga sits above the 25th percentile of the 204,798 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 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 09:00 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: 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: 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 video11% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 11% 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 256 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

  • Jul 15, 202629x their median

    9 & 2 - Lionel Messi completed nine dribbles and assisted two goals against England - the first player on record (from 1966) to do so in a single FIFA World Cup knockout game. Catalyst. https://t.co/wwrE1QnQC1

    15K4.3K137527838K viewsView on X
  • Oct 9, 20264.9x their median

    Donald Trump will be even madder. A South African received something he so badly wanted: the Nobel Peace Prize this morning. Congratulations, Navi Pillay! South Africa's 5th Peace Prize.

    3.0K386621058K viewsView on X
  • Sep 18, 20264.7x their median

    Messi doesn’t need it but he deserves it.

    3.0K269141126K viewsView on X
  • Oct 5, 20262.2x their median

    Jozi is so fucked!

    1.3K2028237127K viewsView on X
  • Jul 31, 20261.9x their median

    Khaya Dlanga dates the most gorgeous women in South Africa and South African men come along and marry them because uKhaya never marries them.

    1.2K563643518K viewsView on X
  • Aug 10, 20261.8x their median

    While the Eastern Cape is a poor province in South Africa. If it were an independent African country, with its $32 billion GDP, it would rank approximately 20th, and would place it ahead of 35 African countries. Its economy would be larger than countries such as: Mali: $30.1bn Zambia: $28.9bn Guinea: $27.2bn Burkina Faso: $27.1bn Benin: $24.4bn Mozambique: $22.3bn Botswana: $19.5bn Mauritius: $16.1bn Rwanda: $16.0bn Namibia: $14.8bn Lesotho, Somalia, ESwatini, etc. Now, GDP per capita would position it even higher, 10th. This would place ahead of countries like: Egypt, Angola, Côte d’Ivoire, Ghana, Kenya, Nigeria, Senegal, Tanzania, Uganda, Rwanda, Zambia, Ethiopia, Mozambique and the DRC. Eastern Cape GDP per capita would be almost 2.6 times Nigeria’s, about 2.4 times Tanzania’s, and more than four times the DRC’s. And the province has incredible potential, it’s just badly run.

    914239823065K viewsView on X
  • Jul 15, 2026

    Damnit , and there it is!!! Hahaha dawg but there is no way you can allow people to get so manny crosses in. It was inevitable. England sold.

    8542242261K viewsView on X
  • Oct 5, 2026

    Every damn thing is expensive.

    627255171720K viewsView on X
  • Sep 3, 2026

    0 shots on target in his last game in the national team by the way 😭😭 3 World Cup finals only 1 won with penalties under very unconvincing circumstances, could never be my GOAT 🐐 https://t.co/5iBZnwb23d

    304493559772K viewsView on X
  • Sep 19, 2026

    Just because you like a woman does not mean she is obligated to like you back. Just because you give her attention does not mean she owes you the same. Women do not owe us affection, attention or a chance. She is allowed to ignore you. You should be able to accept that and leave her alone. I am not encouraging people to be rude. But even if you feel someone has been rude to you, you can walk away. Your hurt feelings do not give you permission to threaten, harass or become violent. I find it odd that some men can control their behaviour at work, but somehow lose that ability when a woman rejects them. Is it because the consequences at work are swift? And when it comes to women, is it because they believe society and law enforcement will let them get away with it? If you can control your behaviour at work, you can control it at home and elsewhere. You already know how. Why should a woman's safety depend on whether you feel like doing so? If you believe the only way a woman will pay attention to you is through harassment and violent conduct, that is a clear demonstration of a deeply and profoundly broken, insecure man. Rejection hurts, of course. But you are still responsible for what you do with that hurt. We are not entitled to women. A woman should not have to fear you simply because she does not want you.

    5291649420K 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 706 interactions against 580K followers, an engagement rate of 0.122%. Measured over 9 original posts, its engagement rate beats 74% 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 3.60% of those impressions turn into an interaction. That is about 3.38% 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, though only 37% of days saw any activity at all. Most posts go out around 09:00 UTC, and Saturday is the busiest day of the week. Of the 9 posts sampled, 11% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 29x its own typical post.

What is Khaya Dlanga's engagement rate on X?
Khaya Dlanga (@khayadlanga) has an engagement rate of 0.122%, based on the median interactions across 9 original posts from the last 30 days against 580,221 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.122%, Khaya Dlanga sits above the 25th percentile of the 204,798 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 @khayadlanga have real engagement?
Its engagement rate beats 74% 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 @khayadlanga post?
Most posts go out around 09:00 UTC, and Saturday is its busiest day, at roughly 1.2 posts per day across the measured window.

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