Okong' Okuna engagement report
@XivTroy - 169K followers on X
Measured over 11 original posts from a 30-day window, last computed on October 21, 2026.
Engagement
A typical post picks up 207 interactions against 169K followers, an engagement rate of 0.123%. Measured over 11 original posts, its engagement rate beats 63% of 21,185 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 7.1K times each, and 2.93% of those impressions turn into an interaction. That is about 4.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 18% are part of a thread. The account's strongest tracked post pulled 36K interactions, about 172x its own typical post.
Measured over 11 original posts from a 30-day window, last computed on October 21, 2026.
Compared with accounts its own size
Okong' Okuna's engagement rate beats 63% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 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 73% 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 0.123%, Okong' Okuna sits above the 25th percentile of the 213,381 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.699% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 15:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 0% 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 529 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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
- Oct 19, 2026172x their median
What habit immediately reveals that a person grew up in a poor family?
- Sep 15, 202673x their median
We going to study the Houthis for generations. https://t.co/I4GVjA8HYA
- Sep 15, 202663x their median
Does male yearning even exist? Like do you guys actually wait for a girl's reply? Do they think about her throughout the day? Do they re-read old chats when they miss her? Do they smile randomly because she crossed their mind? Do they also wonder if she's thinking about them too?
- Sep 16, 202653x their median
if you taught a film class, what is the first film you're assigning...im assembling a list
- Oct 19, 202614x their median
Sai vile hakuna cash flow Kenya ukijaribu kuweka biashara ni hivo umeisha
- Oct 18, 202612x their median
I like dating romantic, quirky women. One evening, a few years ago, I was a month into dating someone, when she called me at 5 pm. Her shift was done and she wanted to come get me. Said she wanted to take me somewhere, show me something. I was still running errands in CBD so she joined me. We held hands like kids, walking from shop to shop, grinning like kids, her in her work scrubs still. It was about 7pm when we wrapped the last errand, and went to the restaurant, & this woman held me the entire time, arms around my torso, swaddled me completely. And we laughed. God, we laughed. It's like when we were together, the world stopped existing outside of us. She had this very interesting habit of lingering before answering questions. She'd squint mischievously & giggle, like she was savouring, replaying the conversation in her mind before she nodded, and gave a rejoinder. I loved it. Got so enamored by this ritual that I could time, with exact precision, the moment she'd nod. I, too, nodded. We laughed so much we did not notice we were the last ones in the restaurant, as was always the case, and only did so when the waitresses came to tell us they were locking up. It was 10pm, & I thought that was it for the day because she had an early start in the morning. I figured whatever she wanted to show me could wait. But she tells me she is too tired to drive, so I drive her home. Plan was to get myself an Uber back to the pick up. We get to her place at 11 pm. I am about to alight, kiss her goodbye, and leave when she tells me to wait. Leaps out of the car, up the stairs, and back in less than 10 minutes. Gets in, tells me to drive. I am thinking this woman is mad. Isn't she tired? It's 11:15 pm. She puts on some Aretha Franklins et al. and off we go. We branch off the highway, she directs me through some strange road I have never been on, that gets bushier as we go. 30 minutes later, she tells me to stop by some isolated bush. No cars. No humans. I'm thinking this woman is a serial killer. She wants to kill me. That or she is completely insane. She alights, asks me to follow her through a small thicket,I am worried shitless thinking someone or something will spring from the bush. Her? Completely unbothered. She stops, I stop behind her. When my eyes adjust, I see the outline of a pond before us. Huge pond. Like a dam. And it was quiet. So quiet you could hear the fidgeting of leaves in the muffled night breeze. It was so beautiful, man. She says that's her best spot, her secret spot. Says she comes there and just lays down. Says in daylight you can see swans swimming in pairs. They are beautiful. She brought her head to my chest and I wrapped both arms around her and for a long time, we stood in silence. It was so quiet, man. Almost like we were the only two people on earth. We left the place at about 12:30 am. We get back in the ride & the first thing she says is, "so not a serial killer, huh?" I never laughed so hard. So she too was afraid afterall.. but she trusted me anyway, as I trusted her. I think about that night often. And I hope she is happy wherever she is. And I hope she never lost that childlike wonder. God knows we need it. I need it.
- Sep 16, 202610.0x their median
Stopped by Toi yesterday evening to buy a formal shoe. My budget was 4-6k They are selling formal shoes for 25,000 bob. A 2nd hand pair 😳
- Sep 14, 20268.0x their median
But if their country is beautiful like this, why do all it’s citizens flood to Uganda? https://t.co/nWNt1IdG47
- Sep 17, 20267.2x their median
You have a window between 23-29, where your spirit & vitals are at their fiercest. Do everything within your power to realize your dreams. Do your utmost. After that, living is, for the most part, just dying. A little everyday. A wound you can stitch, not so much a torn spirit.
- Sep 20, 20267.0x their median
Yesterday, on the evening run in Karura, I ran past a very pretty woman who waved when she saw me. I stopped, said hi, and challenged her to a 400m sprint on the field. If I beat her , she gives me her number, right? She said cool. I said, are you sure? She nodded.
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 207 interactions against 169K followers, an engagement rate of 0.123%. Measured over 11 original posts, its engagement rate beats 63% of 21,185 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 7.1K times each, and 2.93% of those impressions turn into an interaction. That is about 4.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 18% are part of a thread. The account's strongest tracked post pulled 36K interactions, about 172x its own typical post.
- What is Okong' Okuna's engagement rate on X?
- Okong' Okuna (@XivTroy) has an engagement rate of 0.123%, based on the median interactions across 11 original posts from the last 30 days against 168,605 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.123%, Okong' Okuna sits above the 25th percentile of the 213,381 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 @XivTroy have real engagement?
- Its engagement rate beats 63% of the tracked X accounts closest to it in follower count (21,185 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 @XivTroy post?
- Most posts go out around 15:00 UTC, and Sunday is its busiest day, at roughly 1.53 posts per day across the measured window.