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Wesley engagement report

@Ambani_Wessley - 67K followers on X

Measured over 17 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Middle of its size range
Per follower
0.309%
of 67K followers
Per impression
0.49%
43K views on a typical post
Reach
63.1%
of its followers see a post
Typical post
209
interactions (median)
Saved
0.005%
2 bookmarks on a typical post
Posting rate
2/day
active 43% of days
Peak time
09:00 UTC
Tuesday

A typical post picks up 209 interactions against 67K followers, an engagement rate of 0.309%. Measured over 17 original posts, its engagement rate beats 69% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 43K times each, and 0.49% of those impressions turn into an interaction. That is about 63.2% 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, though only 43% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 17 posts sampled, 29% carry an image or video, 6% are part of a thread and 82% link out. The account's strongest tracked post pulled 502 interactions, about 2.4x its own typical post.

Measured over 17 original posts from a 30-day window, last computed on September 19, 2026. Recurring tag: #ncbanowapp.

Compared with accounts its own size

Wesley's engagement rate beats 69% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 6 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 22% 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 0.309%, Wesley sits above the 50th percentile of the 204,798 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 09:00 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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 video29% of posts+111%+108% to +115%34K
Outbound link82% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 29% 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.
  • 82% 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 159 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

  • Sep 15, 20262.4x their median

    NCBA Bank is now shaping the future through supporting creative economy. Watch @nwainaina explains how: 👇🏿 https://t.co/aQzBP25D0Z

    23324920061K viewsView on X
  • Sep 7, 20262.0x their median

    I had multiple accounts on Instagram, TikTok, Facebook, and Bluesky to watch. If I stepped away, comments sat there. DMs piled up. I came back to a mess I had to sort by hand. Every trip felt the same. Open four apps, several accounts. Scroll what I missed. Guess what needed a reply. Lose the morning to catch-up I should not have to do. I tried phone alerts and a shared checklist. I still had to check everything myself. The work waited until I opened the apps and cleared the pile. I almost cancelled Viktor after the first days. The first reports felt thin. I kept logging in anyway, just to be sure nothing slipped while I was offline. Then I left him on the job while I was away. He checked every account, drafted the replies that could wait for my yes, and flagged the ones that needed my voice. Every morning at 8 AM he dropped a clear report: what moved, what was waiting, and what could wait one more day. I stopped opening four apps before breakfast. When I got back I asked him to keep the 8 AM report going and to queue follow-ups for anything that picked up overnight. One AI employee watched the accounts so I did not have to live in them all day. The pages kept moving while I was gone. I could travel without taking the inboxes with me. I did not hire someone to sit on the apps all day. Tell me I'm wrong. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. Paid Partnership

    2281792096K viewsView on X
  • Sep 16, 2026

    https://t.co/z8DySYp5Hr

    12412119072K viewsView on X
  • Sep 18, 2026

    https://t.co/APySH66l8O

    1161272023K viewsView on X
  • Sep 17, 2026

    https://t.co/Ppn1ctg7CB

    1171131028K viewsView on X
  • Sep 9, 2026

    https://t.co/RchSfyWNMZ

    1101123045K viewsView on X
  • Sep 14, 2026

    https://t.co/oQ2i1A6onj

    10210219070K viewsView on X
  • Sep 10, 2026

    https://t.co/sbrX8TMiEk

    9510119058K viewsView on X
  • Sep 15, 2026

    https://t.co/5sidww8yeJ

    949619054K viewsView on X
  • Sep 11, 2026

    https://t.co/qdEZXdQcpQ

    939320071K 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

#ncbanowapp

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 209 interactions against 67K followers, an engagement rate of 0.309%. Measured over 17 original posts, its engagement rate beats 69% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 43K times each, and 0.49% of those impressions turn into an interaction. That is about 63.2% 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, though only 43% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 17 posts sampled, 29% carry an image or video, 6% are part of a thread and 82% link out. The account's strongest tracked post pulled 502 interactions, about 2.4x its own typical post.

What is Wesley's engagement rate on X?
Wesley (@Ambani_Wessley) has an engagement rate of 0.309%, based on the median interactions across 17 original posts from the last 30 days against 67,488 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.309%, Wesley sits above the 50th percentile of the 204,798 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 @Ambani_Wessley have real engagement?
Its engagement rate beats 69% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @Ambani_Wessley post?
Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 2 posts per day across the measured window.

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