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Martín Lousteau engagement report

@GugaLusto - 1.0M followers on X

Measured over 9 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Middle of its size range
Per follower
0.069%
of 1.0M followers
Per impression
2.89%
24K views on a typical post
Reach
2.40%
of its followers see a post
Typical post
706
interactions (median)
Saved
0.037%
9 bookmarks on a typical post
Posting rate
0.47/day
active 33% of days
Peak time
21:00 UTC
Wednesday

A typical post picks up 706 interactions against 1.0M followers, an engagement rate of 0.069%. Measured over 9 original posts, its engagement rate beats 65% of 20,182 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 2.89% of those impressions turn into an interaction. That is about 2.40% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 21:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 33% carry an image or video and 22% link out. The account's strongest tracked post pulled 6.7K interactions, about 18x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 24, 2026.

Compared with accounts its own size

Martín Lousteau's engagement rate beats 65% of the tracked X accounts closest to it in follower count (20,182 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 77% 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 0.069%, Martín Lousteau sits above the 25th percentile of the 202,259 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,259 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,930 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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 video33% of posts+111%+108% to +115%34K
Outbound link22% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 33% 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.
  • 22% 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 367 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Oct 31, 202518x their median

    Se acaba de cerrar el escrutinio definitivo en la Ciudad de Buenos Aires y, como lo marcó el provisorio, casi cien mil porteños eligieron nuestra propuesta para que los represente como diputado Nacional. En el escrutinio definitivo subimos 1294 votos. Y a LLA le faltaron 8688 votos para poder sumar un diputado más. Muchas gracias a quienes nos apoyaron con su voto, a los militantes y a los fiscales que durante estos días participaron del recuento. Durante estos cinco días hemos tenido que soportar agravios y una inédita campaña de desinformación por parte del oficialismo que instaló que nuestra diputación estaba en riesgo cuándo no era así. Decidimos esperar el recuento definitivo en silencio, sin responder ninguna de las mentiras porque creemos en las instituciones y porque sabíamos cuál era el resultado gracias al trabajo de nuestros fiscales. Otra vez, se comprueba que los escrutinios provisorios son consistentes con los definitivos y que no hay riesgo de fraude ni de manipulaciones. A partir de diciembre voy a trabajar en la Cámara de Diputados para honrar la confianza que depositaron en nosotros. Muchas gracias.

    2.5K3473.5K289523K viewsView on X
  • Oct 21, 20253.4x their median

    Suecia invierte el 7,5% del PBI en educación. Argentina, menos del 4%. No hay desarrollo posible si destruimos las universidades. #Educación #UniversidadPública #Futuro #Economía https://t.co/it5NfZIs7v

    6622083.2K247298K viewsView on X
  • Oct 20, 20253.4x their median

    Supera al cohete de la “estratosfera” de Menem 😆🤣 https://t.co/Iyq0jwT7PY

    1.8K38183380123K viewsView on X
  • Oct 27, 20257.8x their median

    Gracias a todos los porteños que fueron a votar y a quienes nos acompañaron con su voto. Gracias a los militantes y a todos los que forman parte de Ciudadanos Unidos. Entramos al Congreso para representar a quienes quieren equilibrio, sensatez y empatía. Vamos a seguir trabajando por una vida mejor para cada argentino y cada argentina desde donde nos toque a cada uno. #CiudadanosUnidos #HayOtraManera

    7571291.9K134251K viewsView on X
  • Oct 16, 20253.0x their median

    Estamos construyendo una alternativa para todos los argentinos que se esfuerzan por un país mejor. Gracias @JSchiaretti @maxipullaro @NachoTorresCH @carlossadirjuy @gustavovaldesok @MartinLlaryora. Hay otra manera. Es unidos. https://t.co/ZbHhWJi0fb

    5361671.6K15773K viewsView on X
  • Jun 24, 20263.2x their median

    Primero dijo que "tenía todo declarado". Después aparecieron las jubiladas prestamistas, la casa en el country, la cascada y el milagroso pendrive con bitcoin. Mintió a periodistas, en Diputados y en su propia declaración jurada. Además confesó que es evasor impositivo. Si estas no son causales para interpelar a un jefe de gabinete no entiendo más nada.

    1.7K375228955K viewsView on X
  • Oct 18, 20252.7x their median

    Pasamos de regalar la energía a cobrarla como si viviéramos en Noruega. El equilibrio fiscal no se logra quebrando a las familias. #Energía #Tarifas #Economía https://t.co/CpVu7Fa8Rs

    4841681.4K141266K viewsView on X
  • Sep 2, 20262.9x their median

    Martín Lousteau comparó a Mercado Libre y Amazon con una mafia —y también con el feudalismo— porque cobran una comisión a quienes venden en sus plataformas. Es difícil meter tantos errores económicos en tan pocas palabras. Mercado Libre no encontró una plataforma tirada en la naturaleza y se apropió de ella, como el señor feudal se apropiaba de la tierra. La creó. Invirtió durante años, reunió compradores y vendedores, construyó sistemas de pagos, reputación, seguridad, crédito y logística, y les permite a miles de empresas llegar a consumidores a los que jamás llegarían por sí solas. La comisión no es un peaje por “dejarte entrar”. Es el precio de todos esos servicios. Si al vendedor no le conviene, puede vender en su propio local, por su página web, Instagram o WhatsApp. Probablemente venda menos. Y esa diferencia revela precisamente el valor que genera Mercado Libre. Por supuesto que una plataforma puede tener poder de mercado y ejercerlo de manera anticompetitiva. Puede discriminar en favor de sus productos, modificar las reglas cuando los vendedores ya están cautivos u obstaculizar la competencia. Todo eso merece ser estudiado. Pero hay que demostrarlo. Cobrar una comisión no demuestra nada. Con el criterio de Lousteau, un shopping es una mafia porque cobra alquiler, una tarjeta porque cobra al comercio, una editorial porque se queda con parte del precio del libro y hasta un diario porque cobra por publicar publicidad. Que Lousteau diga y haga pavadas no sorprende. Como ministro de Economía creó la Resolución 125 y casi lleva al país a una guerra civil. Lo notable es que, además, pretende seguir dando lecciones de economía. Confundir el precio de un servicio voluntariamente contratado con una extorsión mafiosa no es una crítica al capitalismo. Es no haber entendido cómo funciona un mercado.

    1.6K382433780K viewsView on X
  • Apr 8, 20264.4x their median

    Voy a votar en contra de la modificación en la Ley de Glaciares. Porque creo en un desarrollo sustentable que genere trabajo, pero que cuide lo que es de todos. https://t.co/ERNZUeK92g

    8992144596049K viewsView on X
  • Oct 15, 20262.2x their median

    No cumplen una ley que el presidente primero vetó y luego el Congreso aprobó por dos tercios. No cumplen una ley que la Justicia les ordena cumplir. Y cuando la gente se manifiesta por eso, la reprimen. ¿Se entiende, no? Seguiremos acompañando, como lo hicimos siempre, la Ley de Financiamiento Universitario. Como hoy. Y en todos lados. Hasta que el Gobierno la cumpla.

    8542025002835K 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 706 interactions against 1.0M followers, an engagement rate of 0.069%. Measured over 9 original posts, its engagement rate beats 65% of 20,182 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 2.89% of those impressions turn into an interaction. That is about 2.40% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 21:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 33% carry an image or video and 22% link out. The account's strongest tracked post pulled 6.7K interactions, about 18x its own typical post.

What is Martín Lousteau's engagement rate on X?
Martín Lousteau (@GugaLusto) has an engagement rate of 0.069%, based on the median interactions across 9 original posts from the last 30 days against 1,021,324 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.069%, Martín Lousteau sits above the 25th percentile of the 202,259 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 @GugaLusto have real engagement?
Its engagement rate beats 65% of the tracked X accounts closest to it in follower count (20,182 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 @GugaLusto post?
Most posts go out around 21:00 UTC, and Wednesday is its busiest day, at roughly 0.47 posts per day across the measured window.

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