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P.O. engagement report

@PeterOpondo - 118K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Per follower
0.012%
of 118K followers
Per impression
0.56%
2.6K views on a typical post
Reach
2.20%
of its followers see a post
Typical post
14
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.2/day
active 10% of days
Peak time
14:00 UTC
Tuesday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 14 interactions against 118K followers, an engagement rate of 0.012%. Posts are seen about 2.6K times each, and 0.56% of those impressions turn into an interaction. That is about 2.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 73K interactions, about 5201x its own typical post. Recurring topics include #generalelection2027, #journalism, #mediacouncilkenya. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on October 7, 2026. Recurring tags: #generalelection2027, #journalism, #mediacouncilkenya.

Where this sits in the catalog

At 0.012%, P.O. sits above the 10th percentile of the 205,374 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 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 Tuesday 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video100% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 282 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

  • Nov 6, 20245201x their median

    If Kamala Harris fails to win these elections call me a sheep 🐑 https://t.co/eKqChbydUn

    37K2.0K32K2.3K3.7M viewsView on X
  • Oct 19, 2024129x their median

    Prof. Macharia Munene, Historian: Uhuru was a little more mature; there are things you don’t do to put the country in a crisis. Gachagua was going even before the Gen Z protests, they actually saved him a little bit of time #CitizenWeekend @OBurrows https://t.co/BGfJJNSQ20

    1.5K296168153K viewsView on X
  • Jun 20, 202690x their median

    'President William Ruto was at Evian because South Africa was not there. French President Emmanuel Macron, under pressure from Washington over its tensions with Pretoria, needed an African face at the table.' 'Kenya was not the partner but was simply the venue — invited not because it was indispensable, but because it was available.' Read more: https://t.co/hpvmcVyWlL

    801367553890K viewsView on X
  • May 7, 202563x their median

    It’s fascinating how, whenever you ask Kenyans how Ruto plans to win in 2027 given the widespread public dissatisfaction, the answer is always: “he will steal it.” But let’s be real. Kenya is expected to have about 27 million registered voters in 2027. If 75% turn out, that’s around 20 million votes cast. Now ask yourself, how many votes can really be stolen? Even with full control of the system, you can’t possibly steal more than a million votes without getting caught. That’s just 5% of the total votes cast, and nowhere near enough to stop a public wave at the ballot. Yes, the President received the IEBC selection report yesterday. And yes, there are concerns about state capture. But even if State House handpicks the IEBC, remember that there are over 46,000 polling stations in Kenya, manned by teachers, security personnel, and everyday Kenyans. Do you honestly believe that all these people, suffering under this administration’s greed and incompetence, will just sit and watch as votes are cooked? So, to those worried that Ruto will win through rigging, relax. It won’t happen. And to those banking on that strategy, try a new plan. Better yet, deliver something meaningful to the people. They just might surprise you.

    5791231622040K viewsView on X
  • Nov 6, 202453x their median

    The Nairobi regime under Ruto appears unenthusiastic about Trump’s historic comeback. The reason? They made a foreign policy misstep by accepting the State Visit. When a country is heading into elections, the prudent approach is to adopt a wait-and-see stance and avoid signing any major deals. Congratulations from Nairobi seem delayed.

    541124522166K viewsView on X
  • Feb 1, 202547x their median

    Peter Salasya: 'I can be Kenya's next president' https://t.co/kUEyRFqbzV https://t.co/JBaEXmhXuQ

    5744439434K viewsView on X
  • Dec 1, 202420x their median

    YNWA

    1981372342K viewsView on X
  • Nov 17, 2024

    The boyfriend made a report saying that his wife had been kidnapped only for her to be found with her husband. https://t.co/c6FI9KmhLy

    134125.3K viewsView on X
  • Sep 15, 2026

    @MediaCouncilK has warned that journalists who fail to secure elective positions in the upcoming General Election risk being denied reinstatement in their media houses. Read more: https://t.co/KpCrtBeSUn #MediaCouncilKenya #GeneralElection2027 #Journalism https://t.co/Fdhy9LIT4c

    85132.8K viewsView on X
  • Sep 29, 2026

    I hear some saying that Dangote has said he will defy our courts. No. Listen to him again. He is saying: we have seen this script before, across Africa. We know who is behind such cases. We'll fight in the same courts to the highest level, and to the very end. https://t.co/Lzw1BozlKs

    63212.3K 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

#generalelection2027#journalism#mediacouncilkenya

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 14 interactions against 118K followers, an engagement rate of 0.012%. Posts are seen about 2.6K times each, and 0.56% of those impressions turn into an interaction. That is about 2.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 73K interactions, about 5201x its own typical post. Recurring topics include #generalelection2027, #journalism, #mediacouncilkenya. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is P.O.'s engagement rate on X?
P.O. (@PeterOpondo) has an engagement rate of 0.012%, based on the median interactions across 2 original posts from the last 30 days against 117,557 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.012%, P.O. sits above the 10th percentile of the 205,374 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 @PeterOpondo have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @PeterOpondo post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.2 posts per day across the measured window.

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