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Wendy Shay engagement report

@wendyshaygh - 1.2M followers on X

Measured over 16 original posts from a 30-day window, last computed on October 28, 2026.

Engagement

Middle of its size range
Per follower
0.106%
of 1.2M followers
Per impression
5.50%
24K views on a typical post
Reach
1.93%
of its followers see a post
Typical post
1.3K
interactions (median)
Saved
0.036%
8 bookmarks on a typical post
Posting rate
0.8/day
active 50% of days
Peak time
16:00 UTC
Friday

A typical post picks up 1.3K interactions against 1.2M followers, an engagement rate of 0.106%. Measured over 16 original posts, its engagement rate beats 71% of 21,185 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 24K times each, and 5.50% of those impressions turn into an interaction. That is about 1.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 16 posts sampled, 69% carry an image or video and 6% link out. The account's strongest tracked post pulled 27K interactions, about 11x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on October 28, 2026. Recurring tag: #bendova.

Compared with accounts its own size

Wendy Shay's engagement rate beats 71% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 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 91% 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 0.106%, Wendy Shay sits above the 25th percentile of the 212,146 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.694%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,146 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.694%
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 16:00 UTC, and Friday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video69% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 69% 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.
  • 6% 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 77 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • Jun 23, 202611x their median

    Well done πŸ‡¬πŸ‡­β€οΈ Thank you @hisense_ghana https://t.co/arnSwIUvT4

    26K1.1K653123K viewsView on X
  • Aug 23, 202616x their median

    It’s giving Royalty πŸ‘‘ Last night with the Queen @TiwaSavage ✨ https://t.co/envKEA1SSN

    20K96211037292K viewsView on X
  • Aug 5, 202614x their median

    Beast mood activated πŸ”₯πŸ’― Don’t Come To Close Remix @OKESE_1 https://t.co/f6e0n51kLD

    17K1.7K448204866K viewsView on X
  • Jun 28, 20264.0x their median

    Mood cos we still qualified πŸ‘πŸΎπŸ‡¬πŸ‡­ https://t.co/4VizqgdRdU

    15K6269425213K viewsView on X
  • Aug 20, 202610x their median

    Tables Don turn ooo πŸ™†πŸΎβ€β™€οΈ https://t.co/9O4Bzdcv1G

    13K60411025347K viewsView on X
  • Oct 17, 20269.9x their median

    Happy Birthday to the African Dancehall King πŸ‘‘ @shattawalegh My love for you is deep ❀️ https://t.co/E0Wwfugnzu

    12K805941294K viewsView on X
  • Oct 5, 20267.3x their median

    Bendova with Uncle https://t.co/85wPReifza

    9.2K3459424167K viewsView on X
  • Sep 21, 20266.8x their median

    Time to Bendova.. #newmusicthisweek @Lasmidofficial https://t.co/LhjwdRKAa5

    8.0K61222774345K viewsView on X
  • Jul 1, 20262.0x their median

    Happy new month πŸŒΈπŸ’• https://t.co/BbQAhTFBGv

    7.8K2691041065K viewsView on X
  • Sep 15, 20265.7x their median

    What shows are we attending this Christmas? Promise land Rapperholic Kweku smoke Blacko Bhimfest I’m looking forward to Lasmid and Lalid’s show and a proper highlife show.

    6.7K47725888352K 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

#bendova

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 1.3K interactions against 1.2M followers, an engagement rate of 0.106%. Measured over 16 original posts, its engagement rate beats 71% of 21,185 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 24K times each, and 5.50% of those impressions turn into an interaction. That is about 1.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 16 posts sampled, 69% carry an image or video and 6% link out. The account's strongest tracked post pulled 27K interactions, about 11x its own typical post.

What is Wendy Shay's engagement rate on X?
Wendy Shay (@wendyshaygh) has an engagement rate of 0.106%, based on the median interactions across 16 original posts from the last 30 days against 1,235,649 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.106%, Wendy Shay sits above the 25th percentile of the 212,146 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 @wendyshaygh have real engagement?
Its engagement rate beats 71% of the tracked X accounts closest to it in follower count (21,185 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 @wendyshaygh post?
Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 0.8 posts per day across the measured window.

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