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Fran engagement report

@FranYaoi - 102K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Top 10% for its size
Per follower
23.8%
of 102K followers
Per impression
18.2%
124K views on a typical post
Reach
130.8%
of its followers see a post
Typical post
23K
interactions (median)
Saved
0.701%
871 bookmarks on a typical post
Posting rate
1.47/day
active 43% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 23K interactions against 102K followers, an engagement rate of 23.8%. Measured over 14 original posts, its engagement rate beats 100% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 124K times each, and 18.2% of those impressions turn into an interaction. That is about 121.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 14 posts sampled, 86% carry an image or video. The account's strongest tracked post pulled 243K interactions, about 11x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on September 25, 2026. Recurring tag: #mlp.

Compared with accounts its own size

Fran's engagement rate beats 100% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 100% 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 23.8%, Fran sits above the 90th percentile of the 212,741 accounts in this comparison. That places it in the top 10% band, which runs 2.61% to 82.8%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 212,741 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,375 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 percentile0.697%
90th percentile2.61%
99th percentile82.8%

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 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: 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: 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 video86% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 86% 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 69 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

  • Aug 27, 202611x their median

    hoy se estrenan 2 cosas muy importantes https://t.co/DgxnsfBcUw

    218K24K1576303.2M viewsView on X
  • Aug 9, 20266.7x their median

    Estoy ayudando a mi novio a estudiar para un examen final y cuando le dije en broma que me diga profesor se quedo mirandome como si hubiese desbloqueado algo en el

    148K3.3K1993023.0M viewsView on X
  • Aug 14, 20265.0x their median

    Ranking every human on Earth https://t.co/GCLcUJXI0S

    108K2.6K1.2K1.2K8.7M viewsView on X
  • Jul 24, 20264.8x their median

    diganme que lo hice bien https://t.co/lg3AH0PQQS

    103K4.5K35423317M viewsView on X
  • Aug 3, 20263.4x their median

    Mi novio me acaba de invitar a dormir en su departamento sin decirme que no tenia luz y como estamos a 5 grados no queda otra que acostarse en la cama o congelarse, cai directo en la trampa

    75K2.1K6261045.4M viewsView on X
  • Jul 28, 20262.9x their median

    Un duende https://t.co/McFjsKeQgs

    61K4.5K7719330K viewsView on X
  • Aug 18, 20262.6x their median

    Por mi salud mental voy a pensar que es bait https://t.co/1hLPiOQS7q

    56K2.6K83142.0M viewsView on X
  • Aug 5, 20262.5x their median

    Cuando se entere https://t.co/9AGf3skc9k

    53K2.7K21057627K viewsView on X
  • Aug 19, 20262.4x their median

    Me da risa como mi cuñada me escribe de la nada para decirme estas cosas https://t.co/3rJoEvPu81

    49K3.6K4118232K viewsView on X
  • Aug 25, 20262.3x their median

    tiene que ser apropósito https://t.co/hV0YocN5gN

    49K3.5K7674413K 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

#mlp

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 23K interactions against 102K followers, an engagement rate of 23.8%. Measured over 14 original posts, its engagement rate beats 100% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 124K times each, and 18.2% of those impressions turn into an interaction. That is about 121.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 14 posts sampled, 86% carry an image or video. The account's strongest tracked post pulled 243K interactions, about 11x its own typical post.

What is Fran's engagement rate on X?
Fran (@FranYaoi) has an engagement rate of 23.8%, based on the median interactions across 14 original posts from the last 30 days against 101,849 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 23.8%, Fran sits above the 90th percentile of the 212,741 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 @FranYaoi have real engagement?
Its engagement rate beats 100% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top 10% 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 @FranYaoi post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 1.47 posts per day across the measured window.

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