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Oliver Mathenge engagement report

@OliverMathenge - 560K followers on X

Measured over 14 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 560K followers
Per impression
0.406%
2.5K views on a typical post
Reach
0.44%
of its followers see a post
Typical post
10
interactions (median)
Saved
0.061%
2 bookmarks on a typical post
Posting rate
1.97/day
active 57% of days
Peak time
05:00 UTC
Monday

A typical post picks up 10 interactions against 560K followers, an engagement rate of 0.002%. Measured over 14 original posts, its engagement rate beats 14% of 3,774 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 2.5K times each, and 0.406% of those impressions turn into an interaction. That is about 0.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 57% carry an image or video and 79% link out. The account's strongest tracked post pulled 285 interactions, about 29x its own typical post. Recurring topics include #thechronicleweekly, #datastory, #kdcdata.

Measured over 14 original posts from a 30-day window, last computed on August 27, 2026. Recurring tags: #thechronicleweekly, #datastory, #kdcdata.

Compared with accounts its own size

Oliver Mathenge's engagement rate beats 14% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 8 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 30% 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 0.002%, Oliver Mathenge sits above the 10th percentile of the 36,654 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.433%
90th percentile2.10%
99th percentile160.5%

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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 05:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%52K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 21, 202629x their median

    The Safaricom Ad that changed the mobile telephony landscape. https://t.co/MVfkLFry2N

    197797216K viewsView on X
  • Apr 27, 202113x their median

    We still need the courts to clarify if, on August 10, 2021, Parliament stands dissolved in line with Article 101. The 5th year since 2017 poll starts on Aug 8, 2021. Term of Parliament ends at the next election held on the 2nd Tuesday of August in the 5th year - August 10, 2021.

    8431122View on X
  • Jul 15, 20269.6x their median

    Whether you’re a government agency, business, NGO, or individual, your message matters. We make sure it lands. https://t.co/TY0pbmKgRG

    789004.2K viewsView on X
  • Aug 4, 20268.5x their median

    The 1948 colonial master plan called for a ring railway and a central business district rail tunnel. The 1972 Nairobi Metropolitan Growth Strategy proposed the same tunnel concept, calling mass rapid transit “the backbone of a sustainable metropolitan transport network.” The 2014 Nairobi Urban Integrated Plan repeated the diagnosis almost word for word. None of the three was built. Read More: https://t.co/UePJbCqn9Q

    5130408.0K viewsView on X
  • Aug 20, 20262.7x their median

    Interesting take on mining in Africa with a focus on Rio Tinto. Rio Tinto left Bougainville unrepaired for thirty-seven years. The same pattern is unfolding in Madagascar and may now threaten Guinea and Mozambique as well. https://t.co/3NcdVHKI1M

    198002.6K viewsView on X
  • Aug 24, 20261.8x their median

    The data doesn’t say “print is dying.” It says something useful: print is retreating into specific, identifiable territory, and the smart move is to treat that territory differently from everywhere else. https://t.co/aBj3abYJx3

    135004.4K viewsView on X
  • Aug 3, 20261.8x their median

    A stadium should not simply host sports. It should generate commerce, attract investment, and create jobs. It should anchor neighbourhood economies, and most importantly, it should continue earning long after the applause fades. https://t.co/6iZK1tqIO2

    144003.5K viewsView on X
  • Aug 11, 2026

    The 2026 Budget Review and Outlook paper paints a growing economy amidst challenges, and so when candidates arrive with their 2027 manifestos, how do you tell the difference between a serious programme and an expensive wish list? Read More: https://t.co/27x2vtuqvB https://t.co/TXzEH9k445

    85001.6K viewsView on X
  • Aug 25, 2026

    About to exhaust this quarter’s English from tomorrow! https://t.co/DtnTTJWkkL

    111001.6K viewsView on X
  • Aug 24, 2026

    In plain terms, a lower-income, rural Kenyan is reached almost exclusively through vernacular or Swahili radio. https://t.co/tqGo2YsX7d

    53002.3K 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

#thechronicleweekly#datastory#kdcdata

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 10 interactions against 560K followers, an engagement rate of 0.002%. Measured over 14 original posts, its engagement rate beats 14% of 3,774 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 2.5K times each, and 0.406% of those impressions turn into an interaction. That is about 0.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 57% carry an image or video and 79% link out. The account's strongest tracked post pulled 285 interactions, about 29x its own typical post. Recurring topics include #thechronicleweekly, #datastory, #kdcdata.

What is Oliver Mathenge's engagement rate on X?
Oliver Mathenge (@OliverMathenge) has an engagement rate of 0.002%, based on the median interactions across 14 original posts from the last 30 days against 559,588 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Oliver Mathenge sits above the 10th percentile of the 36,654 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 @OliverMathenge have real engagement?
Its engagement rate beats 14% of the tracked X accounts closest to it in follower count (3,774 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 @OliverMathenge post?
Most posts go out around 05:00 UTC, and Monday is its busiest day, at roughly 1.97 posts per day across the measured window.

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