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Leo Zuckermann engagement report

@leozuckermann - 1.4M followers on X

Measured over 41 original posts from a 30-day window, last computed on October 23, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 1.4M followers
Per impression
1.02%
5.2K views on a typical post
Reach
0.38%
of its followers see a post
Typical post
53
interactions (median)
Saved
0.019%
1 bookmarks on a typical post
Posting rate
1.83/day
active 83% of days
Peak time
02:00 UTC
Tuesday

A typical post picks up 53 interactions against 1.4M followers, an engagement rate of 0.004%. Measured over 41 original posts, its engagement rate beats 23% of 19,932 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.2K times each, and 1.02% of those impressions turn into an interaction. That is about 0.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 41 posts sampled, 98% link out. The account's strongest tracked post pulled 15K interactions, about 288x its own typical post.

Measured over 41 original posts from a 30-day window, last computed on October 23, 2026. Recurring tag: #eslahoradeopinar.

Compared with accounts its own size

Leo Zuckermann's engagement rate beats 23% of the tracked X accounts closest to it in follower count (19,932 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 48% 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 0.004%, Leo Zuckermann sits above the 10th percentile of the 199,658 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.669%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 199,658 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.141%
75th percentile0.669%
90th percentile2.53%
99th percentile82.4%

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 02:00 UTC, and Tuesday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video0% of posts+111%+108% to +115%34K
Outbound link98% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 98% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 120 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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 13, 2026288x their median

    Ay, abuelo querido, me pregunto qué opinarías al ver que en este generoso México, que te recibió dos veces en tu obligado exilio por estar en las listas de los nazis y estalinistas, ahora su gobierno elabora listas de sus críticos donde aparece de nuevo tu nombre, que es el mío.

    11K2.9K1.3K193316K viewsView on X
  • Jun 29, 2026165x their median

    Sí, acabaron siendo un peligro para México. Nuestro país está peor que en 2018 cuando Morena llegó al poder. Hoy tenemos un mayor control territorial del crimen organizado, finanzas públicas prendidas con alfileres y una democracia desmantelada https://t.co/EyGYAE3fHz

    5.3K2.5K1.5K187307K viewsView on X
  • Aug 24, 202629x their median

    Nosotros sólo reaccionamos a lo que hacen los políticos quienes estas dos últimas semanas nos han ofrecido un espectáculo de soberbia, arrogancia, ridículo, incompetencia y descoordinación que genera la sensación de desgobierno https://t.co/xPUc6GDrJP

    1.1K40054819K viewsView on X
  • Aug 18, 202628x their median

    Andy es el epítome del embuste. Se lee clarito en la carta que le envió a Trump. Exhibe la soberbia y arrogancia del mirrey. Porque él se apellida López, sí de los López moralmente superiores que prometieron purificar la vida pública del país.  https://t.co/30P5MMpLKq

    1.1K35956719K viewsView on X
  • Aug 20, 202624x their median

    No necesitamos al Estado para que nos proteja en el ámbito informativo. Al revés, es un peligro para la libertad de expresión que cinco burócratas cercanos al gobierno tengan el poder de decidir qué es veraz y, en consecuencia, multar a un medio. https://t.co/LSvtJe8Uof

    8213331121736K viewsView on X
  • Oct 1, 202621x their median

    Lo que logró en su sexenio fue cambiar a la mafia del poder. Aparecieron nuevos “empresarios” que se hicieron ricos de la noche a la mañana gracias a sus conexiones con el gobierno, en particular con alguno de los hijos del Presidente.  https://t.co/7MkrjKCpPZ

    79226865215K viewsView on X
  • Aug 18, 202620x their median

    La lista evidencia la paranoia de un gobierno frustrado por estar perdiendo la narrativa. No quieren hacerse responsables de una realidad adversa apabullante. No es que sean incompetentes y corruptos, sino víctimas de un gran complot en su contra. https://t.co/X4ifCRQETW

    74224878519K viewsView on X
  • Jul 7, 202618x their median

    “Nosotros no somos iguales”, repetía el entonces presidente López Obrador hasta el cansancio. A Sheinbaum ya no la escuchamos decir lo mismo. La 4T ahora lo ha sustituido por “ellos hacían lo mismo”. https://t.co/3fLqMIbiFu

    64729534413K viewsView on X
  • Jun 30, 202614x their median

    A dos décadas de la campaña de “López Obrador es un peligro para México”, más allá de reconocer que esta expresión fue de propaganda en su contra, creo que vale la pena reflexionar si efectivamente lo fue. https://t.co/EyGYAE3Nx7

    4771761352323K viewsView on X
  • Jul 16, 202614x their median

    “Lo que pienso y de verdad ya lo dudo seriamente es de la capacidad intelectual de la gobernadora de Baja California, por decirlo suavecito, porque también es la segunda vez que la graban”: @leozuckermann en #TercerGrado | Mira el análisis en https://t.co/IPE4ELRZ25 y escúchalo en todas las plataformas de audio. #Podcast

    58013022432K 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

#eslahoradeopinar

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 53 interactions against 1.4M followers, an engagement rate of 0.004%. Measured over 41 original posts, its engagement rate beats 23% of 19,932 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.2K times each, and 1.02% of those impressions turn into an interaction. That is about 0.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 41 posts sampled, 98% link out. The account's strongest tracked post pulled 15K interactions, about 288x its own typical post.

What is Leo Zuckermann's engagement rate on X?
Leo Zuckermann (@leozuckermann) has an engagement rate of 0.004%, based on the median interactions across 41 original posts from the last 30 days against 1,366,901 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Leo Zuckermann sits above the 10th percentile of the 199,658 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 @leozuckermann have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (19,932 accounts), which puts it in the bottom quarter 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 @leozuckermann post?
Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 1.83 posts per day across the measured window.

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