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Ezekiel engagement report

@ezekiel_aleke - 125K followers on X

Measured over 14 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Bottom quarter for its size
Per follower
0.013%
of 125K followers
Per impression
0.567%
2.8K views on a typical post
Reach
2.25%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.071%
2 bookmarks on a typical post
Posting rate
1.8/day
active 13% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 16 interactions against 125K followers, an engagement rate of 0.013%. Measured over 14 original posts, its engagement rate beats 22% of 21,185 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 2.8K times each, and 0.567% of those impressions turn into an interaction. That is about 2.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 14 posts sampled, 79% carry an image or video and 7% are part of a thread. The account's strongest tracked post pulled 10K interactions, about 638x its own typical post. Recurring topics include #dataanalytics, #powerbi, #dataanalyst.

Measured over 14 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #dataanalytics, #powerbi, #dataanalyst.

Compared with accounts its own size

Ezekiel's engagement rate beats 22% of the tracked X accounts closest to it in follower count (21,185 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 27% 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 0.013%, Ezekiel sits above the 10th percentile of the 212,349 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,349 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,452 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 percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile83.1%

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 Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video79% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 79% 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 211 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 2, 2026638x their median

    This is content😂😂🤣 https://t.co/SFonl5ZOGr

    9.3K78810327165K viewsView on X
  • Jul 25, 202636x their median

    Dear Data Analyst, This is all you need I took my time to work on this project and it’s finally ready If you’re interested in learning Data Analysis this is everything you need Lock for for 3 months🔥 Download it NOW: https://t.co/LVSZLUogcO https://t.co/nAYGAnnIKM

    372129364089K viewsView on X
  • Sep 30, 20264.3x their median

    Data visualization is cool @ezekiel_aleke @TechSphereAcad. Soo greateful to God I learnt this course. https://t.co/yz0djikhkd

    5251018.3K viewsView on X
  • Oct 1, 20262.6x their median

    Finally completed my capstone project! 🎓📊 A project I almost thought I wouldn’t complete, especially without a PC. Much appreciation to the best tutor, @ezekiel_aleke and my academy, @TechSphereAcad for the guidance and support. 🙏🏽 One step closer! 🚀 #DataAnalyst https://t.co/p3otVI7ADA

    305523.0K viewsView on X
  • Oct 1, 20262.1x their median

    “How can you finish what you didn’t start?” Capstone Project Completed 🎉 Special thanks to @TechSphereAcad and to the tutor @ezekiel_aleke I started. I learned. I finished. And this is only the beginning more progress to share 🚀 #DataAnalyst #PowerBI #techsphereacademy https://t.co/Pc1ZmJc2Oh

    282212.4K viewsView on X
  • Sep 30, 20261.8x their median

    I just realized that even God with abundance doesn’t give man more than he deserves. Both good and bad

    262014.0K viewsView on X
  • Oct 1, 20261.5x their median

    I was on a Twitter Space weeks ago The topic was Freelance VS 9-5 The room was loud One side said the 9-5 is a trap Freelancing is freedom I spent weeks writing this Be sure you read to the end🔥

    202114.9K viewsView on X
  • Sep 30, 2026

    Capstone Project Update Building a Transportation & Logistics analytics. From data cleaning and modeling to DAX, KPIs, and dashboard storytelling, I’m learning how to turn raw data into meaningful business insights. @TechSphereAcad thank you @ezekiel_aleke for the lessons. https://t.co/WMjpmC2fM0

    122212.6K viewsView on X
  • Oct 1, 2026

    My prayer point bu ka odim n’aka🙏🏼

    132004.1K viewsView on X
  • Sep 30, 2026

    From having zero knowledge of Data Analytics to gaining practical, hands-on knowledge. I’m grateful to @TechSphereAcad for creating a platform where people can learn and grow in tech and to @ezekiel_aleke for breaking down every concept and making the learning process easier. https://t.co/SBx2CBq6qd

    102214.1K 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

#dataanalytics#powerbi#dataanalyst#techsphereacademy#techtwitter

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 16 interactions against 125K followers, an engagement rate of 0.013%. Measured over 14 original posts, its engagement rate beats 22% of 21,185 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 2.8K times each, and 0.567% of those impressions turn into an interaction. That is about 2.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 14 posts sampled, 79% carry an image or video and 7% are part of a thread. The account's strongest tracked post pulled 10K interactions, about 638x its own typical post. Recurring topics include #dataanalytics, #powerbi, #dataanalyst.

What is Ezekiel's engagement rate on X?
Ezekiel (@ezekiel_aleke) has an engagement rate of 0.013%, based on the median interactions across 14 original posts from the last 30 days against 125,321 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Ezekiel sits above the 10th percentile of the 212,349 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 @ezekiel_aleke have real engagement?
Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (21,185 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 @ezekiel_aleke post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.8 posts per day across the measured window.

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