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Willice Ochieng engagement report

@WilliceOchieng1 - 80K followers on X

Measured over 32 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Bottom quarter for its size
Per follower
0.011%
of 80K followers
Per impression
0.856%
994 views on a typical post
Reach
1.25%
of its followers see a post
Typical post
8
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.07/day
active 43% of days
Peak time
11:00 UTC
Saturday

A typical post picks up 8 interactions against 80K followers, an engagement rate of 0.011%. Measured over 32 original posts, its engagement rate beats 18% of 21,624 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 994 times each, and 0.856% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 11:00 UTC, and Saturday is the busiest day of the week. Of the 32 posts sampled, 34% are part of a thread. The account's strongest tracked post pulled 68 interactions, about 8.5x its own typical post. Recurring topics include #tv47, #whichiswhich, #wisdom.

Measured over 32 original posts from a 30-day window, last computed on October 10, 2026. Recurring tags: #tv47, #whichiswhich, #wisdom.

Compared with accounts its own size

Willice Ochieng's engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,624 accounts, accounts of similar size (decile 7 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 36% 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 0.011%, Willice Ochieng sits above the 10th percentile of the 218,597 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,597 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,723 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 percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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 video3% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 3% 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 266 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

  • Oct 8, 20268.5x their median

    PIER versus PYRE Friends, these words are NOT homophones. They are pronounced differently. PIER has the diphthong /ia/, unlike PYRE that is pronounced with the triphthong /ia/. PIER as /paia/? ❎ PIER as /pia/ ✅ (like PEER) PYRE as /paia/ ✅

    558503.3K viewsView on X
  • Sep 23, 20264.0x their median

    NEVER DISREGARD OR BELITTLE ANY UNSUCCESSFUL RELATIVE AT A FUNERAL There are FUNERALS where some SUCCESSFUL FAMILIES hardly recognize or appreciate the presence of their UNLUCKY RELATIVES. Life is never static, and those whom you belittle/disrespect TODAY might succeed LATER.

    228202.5K viewsView on X
  • Oct 8, 20263.1x their median

    NEVER BE TOO TALKATIVE OR PLAYFUL IN CLASS OR AT YOUR PLACE OF WORK Although there is nothing wrong with talking or playing, doing them at the right time and place matters a lot. Being TOO TALKATIVE/PLAYFUL in a classroom or lecture hall can affect the FUTURE of many learners.

    211302.7K viewsView on X
  • Sep 28, 20262.6x their median

    NEVER "KILL" YOURSELF WITH JEALOUSY AND/OR ENVY It is absurd that some MEN and WOMEN can unnecessarily become naughty with JEALOUSY and/or ENVY. Avoid being the kind of person who BURNS INSIDE when a friend, colleague or any other person is achieving his/her goals. (Next page)

    153302.0K viewsView on X
  • Aug 6, 20262.5x their median

    Which of these sentences is grammatically correct? 1. When did he become an MP? 2. When did he became an MP? 3. When did he become a MP? 4. When did he becomes a MP?

    1001003.0K viewsView on X
  • Oct 4, 20262.4x their median

    NEVER MISTREAT ORPHANS, NEEDY CHILDREN, WIDOWS, WIDOWERS OR POOR PEOPLE There are some individuals who are more beastly than human in their interactions with orphans, needy children, widows, widowers or poor people. Being kind to "simple" people matters a lot. (More)

    161202.1K viewsView on X
  • Sep 26, 20262.3x their median

    NEVER BE FOOLED BY TRIBALISM OR CLANNISM THAT POLITICALLY SETS KENYANS AGAINST THEMSELVES Fellow Kenyans, many politicians and ordinary Kenyans commonly promote TRIBALISM and CLANNISM, which always gives attracts votes, popularity or influence. ★Aren't we BROTHERS and SISTERS?

    121501.7K viewsView on X
  • Aug 19, 20262.3x their median

    Are you a human being? Then just behave like a human being because we are all brothers and sisters in this crazy world.

    143101.6K viewsView on X
  • Aug 28, 20262.1x their median

    ENGLISH I can be able to do it. ❎ I am able to do it. ✅ I can do it. ✅ ★CAN means BE ABLE so it is wrong/repetitive to use CAN and BE ABLE. I returned back yesterday. ❎ I returned yesterday. ✅ I came back yesterday. ✅ ★Just say RETURN or COME BACK, not RETURN BACK.

    142102.0K viewsView on X
  • Aug 6, 20262.0x their median

    My names are . . . ❎ My names are . . . ❎ My names are . . . ❎ Friends, NAME refers to ONE or SEVERAL WORDS by which you are identified. As an INDIVIDUAL, avoid saying "my names are" even if you have thirty words forming your compound noun/name. (Sounds stylish, but wrong)

    131201.9K 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

#tv47#whichiswhich#wisdom

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 8 interactions against 80K followers, an engagement rate of 0.011%. Measured over 32 original posts, its engagement rate beats 18% of 21,624 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 994 times each, and 0.856% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 11:00 UTC, and Saturday is the busiest day of the week. Of the 32 posts sampled, 34% are part of a thread. The account's strongest tracked post pulled 68 interactions, about 8.5x its own typical post. Recurring topics include #tv47, #whichiswhich, #wisdom.

What is Willice Ochieng's engagement rate on X?
Willice Ochieng (@WilliceOchieng1) has an engagement rate of 0.011%, based on the median interactions across 32 original posts from the last 30 days against 79,792 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, Willice Ochieng sits above the 10th percentile of the 218,597 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 @WilliceOchieng1 have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,624 accounts), which puts it in the bottom 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 @WilliceOchieng1 post?
Most posts go out around 11:00 UTC, and Saturday is its busiest day, at roughly 2.07 posts per day across the measured window.

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