Majuu Alone π°πͺ engagement report
@jaokojohnmark - 57K followers on X
Measured over 3 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
Early reading. We have captured 3 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 47 interactions against 57K followers, an engagement rate of 0.083%. Posts are seen about 842 times each, and 5.58% of those impressions turn into an interaction. That is about 1.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 3 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 154 interactions, about 3.3x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on October 6, 2026.
Where this sits in the catalog
At 0.083%, Majuu Alone π°πͺ sits above the 25th percentile of the 199,274 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.141%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.668% |
| 90th percentile | 2.53% |
| 99th percentile | 82.4% |
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 10:00 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.
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 | 33% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 33% 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 176 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 6, 20263.3x their median
STAY VIGILANT .HAKUNA EBOLA KENYA.! The Ebola case as per the announcement by the illegitimate outgoing Govt of Kenya,is 100% SCAMDAL. GoK & the Githeri Media are running a Script. We are in a Revolution and we The People Must ensure every atrocity by them, fails totally.! https://t.co/gB9z7z8HGj
- May 31, 20262.7x their median
THE USUAL SUSPECTS: How Old Useful Idiots Are Pushing Another Lockdown Psyop Veteran propagandist Saddique Shaban is once again stoking fear by pushing choreographed videos provided by the Ministry of Health, with Andrew Kibeβs tweet overlayed asking βWho else can smell a lockdown loading?β - a clear attempt to normalise the idea. SADDIQUE SHABAN: The Serial Fearmonger Saddique Shaban is no stranger to weaponising fear. During the 2020-2021 COVID period, he was one of the most aggressive voices on X (then Twitter) pushing panic, lockdowns, and compliance. He repeatedly attacked those questioning restrictions, celebrated curfews, demanded harsher measures, and mocked people sceptical of the official narrative. His relentless fear-mongering helped create the psychological environment that allowed war criminal and mass murderer Uhuru Kenyatta government to impose economically devastating restrictions that threw thousands of businesses into ruin, destroyed livelihoods, and deepened poverty across the country. Without any honor or shame, heβs back with the same script, this time around Ebola. ANDREW KIBE: The Deadbeat Gen X Sellout Andrew Kibe, the loudmouth Gen X commentator, appeared on BBC recently in an appalling interview where he spent more time falling into conversational booby traps and chasing sideshows than addressing substantive issues. This is no coincidence. Kibe has increasingly struggled to speak truth on boychild disenfranchisement and emasculation because doing so would require exposing the stateβs deliberate hand in it. Having done shady deals with corrupt government demagogues, he is now severely handicapped - left with nothing but incoherence and deflection. His tweet subtly sanitising the lockdown idea is classic controlled opposition behaviour. THE GENERATIONAL BETRAYAL: If given half a chance and sufficient financial recompense, the generation of old useless bastards - Boomers, Gen X, and Millennials - would gladly condemn the entire country to chains. Right now, many of them are more triggered by Gaitho βinsultingβ Uhuru Kenyatta and Rigathi Gachagua than by the very real threat of an Ebola-driven lockdown that could be exploited to postpone elections. Millennials in particular remain suspiciously quiet, hiding behind religion and sanctimonious, self-righteous posturing. It is no coincidence that the key architects and amplifiers of this latest mooted lockdown - @bonifacemwangi , @SaddiqueShaban , and @kibeandy - all fall squarely within that age group. They were compliant during COVID, they benefited from the chaos, and they are ready to do it again. Kenyans must remain vigilant. The same cast of characters who helped engineer economic destruction in 2020-2021 are back on the stage, reading from the same fear script. This is not journalism or commentary. This is psychological operations by compromised voices.
- Oct 6, 2026
The first ARTIFICIAL Ebola case has been recorded in Nairobi. Don't you fret fellow Kenyans, it's a script to avoid Public gatherings and rallies just because demagogz in power are in tension .
- Oct 6, 2026
Dereva wa chiv@yo Must Go.
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 47 interactions against 57K followers, an engagement rate of 0.083%. Posts are seen about 842 times each, and 5.58% of those impressions turn into an interaction. That is about 1.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 3 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 154 interactions, about 3.3x its own typical post. Only 3 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 Majuu Alone π°πͺ's engagement rate on X?
- Majuu Alone π°πͺ (@jaokojohnmark) has an engagement rate of 0.083%, based on the median interactions across 3 original posts from the last 30 days against 56,804 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.083%, Majuu Alone π°πͺ sits above the 25th percentile of the 199,274 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 @jaokojohnmark have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @jaokojohnmark post?
- Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 1.3 posts per day across the measured window.