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María Eugenia Vidal engagement report

@mariuvidal - 1.6M followers on X

Measured over 16 original posts from a 30-day window, last computed on August 21, 2026.

Engagement

Middle of its size range
Per follower
0.038%
of 1.6M followers
Per impression
1.13%
54K views on a typical post
Reach
3.36%
of its followers see a post
Typical post
613
interactions (median)
Saved
0.011%
6 bookmarks on a typical post
Posting rate
0.83/day
active 40% of days
Peak time
15:00 UTC
Saturday

A typical post picks up 613 interactions against 1.6M followers, an engagement rate of 0.038%. Measured over 16 original posts, its engagement rate beats 61% of 1,003 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 54K times each, and 1.13% of those impressions turn into an interaction. That is about 3.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Saturday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video and 31% link out. The account's strongest tracked post pulled 60K interactions, about 97x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on August 21, 2026. Recurring tag: #leyyorden.

Compared with accounts its own size

María Eugenia Vidal's engagement rate beats 61% of the tracked X accounts closest to it in follower count (1,003 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 55% 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 0.038%, María Eugenia Vidal sits above the 25th percentile of the 10,660 accounts in this comparison. That places it in the below the median band, which runs 0.007% to 0.048%.

p100.001%
p250.007%
p50 (median)0.048%
p750.328%
p902.48%
p99343.7%
Engagement rate as a share of followers, across the 10,660 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 429,653 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 percentile0.001%
25th percentile0.007%
50th percentile0.048%
75th percentile0.328%
90th percentile2.48%
99th percentile343.7%

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 15:00 UTC, and Saturday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 96%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%15K
01:00 UTC+4%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-5%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%17K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%29K
15:00 UTC-1%30K
16:00 UTC-1%30K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%24K
20:00 UTC0%22K
21:00 UTC+1%19K
22:00 UTC+1%17K
23:00 UTC+1%15K
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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 96%Busiest day: Saturday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+8%59K
Monday+8%72K
Tuesday+1%94K
Wednesday-4%78K
Thursday-3%71K
Friday-5%73K
Saturday+2%64K
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 video75% of posts+79%+73% to +85%5.8K
Outbound link31% of posts-49%-50% to -47%6.1K
Typical length--5%-7% to -4%7.9K
  • 75% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 31% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
  • Its average post runs 264 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters run 5% 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

  • Jul 21, 202697x their median

    "Rosalia" Porque a días de su show en el país, se sumó a la campaña anti-Argentina compartiendo un video de Mia Khalifa: trató a los argentinos de "perlas", que en su país significa sinvergüenza, vago, caradura, problemático o delincuente. https://t.co/J3odebLva7

    49K5.5K1.8K3.0K8.9M viewsView on X
  • Jul 19, 202691x their median

    🇦🇷 "La IMAGEN de ARGENTINA es PATÉTICA". ‼️ "Ha hecho el RIDÍCULO". @jpedrerol alucina con los medios argentinos y sus reflexiones tras la derrota en la final. https://t.co/i5Am4tFYIQ

    47K5.5K2.8K6594.8M viewsView on X
  • Aug 13, 202616x their median

    Nos cansamos de decirlo. Era una pelea de cartón. Ego, vanidad y un poco de lapicera. Al final terminan juntos. Porque son lo mismo. Emisión. Inflación. Corrupción. Devaluación. Expropiación. Persecución. Desinversión. Cepo. Brecha. Plan Platita. Sira. Ley de góndolas. Ley de alquileres. Retenciones. Frente para la Victoria. Frente de Todos. Unión por la Patria. Fuerza Patria. Cambian el nombre porque no pueden cambiar el prontuario.

    7.6K2.2K0167153K viewsView on X
  • Jun 16, 202611x their median

    Vidal le pidió la renuncia Adorni por viajar a Punta del Este. Saben dónde es esto? En el VIP del aeropuerto de Punta. Toda la vida viviendo del Estado. https://t.co/9nA66kOmzo

    5.3K84528345565K viewsView on X
  • Aug 1, 20266.7x their median

    El PRO ya demostró que sabe gobernar. Ahora tiene que volver a ser la alternativa para la Argentina que viene. Tenemos equipo, experiencia y estamos listos para dar el próximo paso. https://t.co/eGsOAxEfSA

    1.3K3772.2K218359K viewsView on X
  • Jul 13, 20263.0x their median

    Las familias porteñas podrán refinanciar sus deudas de tarjetas de crédito y préstamos en mora con más plazo y una tasa de interés fija. Es un alivio para la clase media que trabaja, se esfuerza y quiere ponerse al día. Las nuevas alternativas de refinanciación estarán disponibles a través del Banco Ciudad y de las entidades financieras que decidan adherirse. Esta fue una propuesta que trabajamos en conjunto entre el Poder Ejecutivo y la Legislatura para convertirla en una ley financieramente viable.

    796255646116180K viewsView on X
  • Aug 5, 20262.8x their median

    Desmantelamos un clan narco en Lugano. 6 detenidos, 10 allanamientos y más de 1.700 dosis de pasta base y cocaína secuestradas. No les vamos a dejar un solo lugar donde esconderse a estos delincuentes. Ley y orden. https://t.co/mucTR87bTZ

    1.2K3671362467K viewsView on X
  • Jul 25, 20262.5x their median

    Kicillof quiere volver a las reelecciones indefinidas que nosotros eliminamos. Otra vez elige gobernar para él y sus amigos, y no para la gente. https://t.co/R3SqrfhIqv

    9283651942446K viewsView on X
  • Jun 29, 20262.1x their median

    Éxitos, @diegosantilli . La Argentina necesita dirigentes que hagan, escuchen y se animen a impulsar los cambios que faltan.

    753674354047K viewsView on X
  • Aug 13, 20262.0x their median

    Decir que la deuda es “un problema entre privados” es ignorar la realidad: millones de argentinos se endeudan para llegar a fin de mes. https://t.co/UBH7R3HRTe

    3251057485071K 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

#leyyorden

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 613 interactions against 1.6M followers, an engagement rate of 0.038%. Measured over 16 original posts, its engagement rate beats 61% of 1,003 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 54K times each, and 1.13% of those impressions turn into an interaction. That is about 3.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Saturday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video and 31% link out. The account's strongest tracked post pulled 60K interactions, about 97x its own typical post.

What is María Eugenia Vidal's engagement rate on X?
María Eugenia Vidal (@mariuvidal) has an engagement rate of 0.038%, based on the median interactions across 16 original posts from the last 30 days against 1,618,596 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.038%, María Eugenia Vidal sits above the 25th percentile of the 10,660 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 @mariuvidal have real engagement?
Its engagement rate beats 61% of the tracked X accounts closest to it in follower count (1,003 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 @mariuvidal post?
Most posts go out around 15:00 UTC, and Saturday is its busiest day, at roughly 0.83 posts per day across the measured window.

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