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Mario Boss engagement report

@_mario_boss - 793K followers on X

Measured over 24 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.066%
of 793K followers
Per impression
0.718%
73K views on a typical post
Reach
9.21%
of its followers see a post
Typical post
524
interactions (median)
Saved
0.018%
14 bookmarks on a typical post
Posting rate
1.93/day
active 77% of days
Peak time
09:00 UTC
Wednesday

A typical post picks up 524 interactions against 793K followers, an engagement rate of 0.066%. Measured over 24 original posts, its engagement rate beats 63% of 3,758 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 73K times each, and 0.718% of those impressions turn into an interaction. That is about 9.21% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 38% carry an image or video, 13% are part of a thread and 29% link out. The account's strongest tracked post pulled 21K interactions, about 40x its own typical post.

Measured over 24 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

Mario Boss's engagement rate beats 63% of the tracked X accounts closest to it in follower count (3,758 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 44% 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 0.066%, Mario Boss sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.433%
90th percentile2.10%
99th percentile160.5%

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 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%52K
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 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 2, 202640x their median

    LLEGANDO A CEUTA https://t.co/3yMp9oi2Fl

    14K2.5K3.1K9954.7M viewsView on X
  • Aug 11, 202624x their median

    🇫🇷 DÉBAT – Êtes-vous pour ou contre l’éclipse solaire ? https://t.co/zehWrxI3ik

    10K4808845521.9M viewsView on X
  • Jul 14, 202619x their median

    Juan Carlos Rivero saludando a sus sobrinos en directo. Es bastante probable que no se llamen así.

    9.1K5373018223K viewsView on X
  • Aug 12, 202617x their median

    No miréis directamente el precio de la gasolina.

    7.3K1.6K3128115K viewsView on X
  • Aug 12, 202611x their median

    Quién en su sano juicio no va a hacer caso a un cantante drogadicto y a un lateral derecho cuando hablan de astronomía.

    5.3K652285144K viewsView on X
  • Aug 12, 20269.9x their median

    A ver qué vestido se pone la Pedroche para el eclipse.

    4.7K50922277K viewsView on X
  • Jul 30, 20268.5x their median

    Habría que crear una plataforma donde los trabajadores podiéramos dejar reseñas de las empresas. Una especie de JobAdvisor: “El café es gratis. Lo vas a necesitar para soportar el resto de condiciones”.

    4.0K3579417137K viewsView on X
  • Jul 26, 20266.1x their median

    LA NASA MOSTRÓ EL MODELO QUE REPRESENTA LA ESTRUCTURA REAL DE LA TIERRA: EL GEOIDE Michael Watkins, científico del Laboratorio de Propulsión a Chorro de la NASA, explicó que sus variaciones responden a la distribución desigual de masas en el planeta. Testimonio de Michael Watkins "Esta moldeado así por su gravedad". “Debido a que la distribución de materiales en las profundidades de la Tierra varía, su campo de gravedad tiene colinas y valles. Esa clave considera el factor determinante, que la geometría pura suele pasar por alto, la gravedad. En términos geodésicos, el geoide se define como una superficie equipotencial del campo gravitatorio terrestre". "Los científicos exageran la escala vertical del Geoide para que las sutiles variaciones de gravedad resulten apreciables a simple vista. En la escala real, si se sostuviera el Geoide en la mano, se sentiría tan suave como una bola de billar" "Para entender la diferencia de forma sencilla, se lo puede abordar partiendo de la teoría de que la Tierra tiene dos “caras”: la que calculamos en un papel y la que realmente existe según las leyes de la física. Muchos aseguran que tiene formato de elipsoide". "Esto es un Geoide, donde la superficie que adaptaría el agua de los océanos si estuvieran completamente en reposo (sin olas, viento ni mareas) y extendiéndose por debajo de los continentes. Como las rocas, montañas y capas internas de la Tierra tienen diferente masa y densidad, la gravedad atrae el agua con más o menos fuerza según la zona". (+) en Clarín: https://t.co/gua9r4rsXe

    2.7K210532132.1M viewsView on X
  • Aug 12, 20264.9x their median

    Ojalá Juan Carlos Rivero retransmitiendo el eclipse y confundiendo la luna con el sol.

    2.2K32410669K viewsView on X
  • Jul 6, 20264.3x their median

    Gracias, Merino, mañana me levanto a las seis.

    2.1K12811787K 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.

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Reading these numbers

A typical post picks up 524 interactions against 793K followers, an engagement rate of 0.066%. Measured over 24 original posts, its engagement rate beats 63% of 3,758 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 73K times each, and 0.718% of those impressions turn into an interaction. That is about 9.21% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 38% carry an image or video, 13% are part of a thread and 29% link out. The account's strongest tracked post pulled 21K interactions, about 40x its own typical post.

What is Mario Boss's engagement rate on X?
Mario Boss (@_mario_boss) has an engagement rate of 0.066%, based on the median interactions across 24 original posts from the last 30 days against 793,127 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.066%, Mario Boss sits above the 25th percentile of the 36,654 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 @_mario_boss have real engagement?
Its engagement rate beats 63% of the tracked X accounts closest to it in follower count (3,758 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 @_mario_boss post?
Most posts go out around 09:00 UTC, and Wednesday is its busiest day, at roughly 1.93 posts per day across the measured window.

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