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Andres Oppenheimer engagement report

@oppenheimera - 549K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 14, 2026.

Engagement

Per follower
0.006%
of 549K followers
Per impression
0.5%
7.0K views on a typical post
Reach
1.27%
of its followers see a post
Typical post
35
interactions (median)
Saved
0.086%
6 bookmarks on a typical post
Posting rate
1.5/day
active 47% of days
Peak time
19:00 UTC
Monday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 35 interactions against 549K followers, an engagement rate of 0.006%. Posts are seen about 7.0K times each, and 0.5% of those impressions turn into an interaction. That is about 1.27% 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, with activity on roughly 47% of days. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 100% link out. The account's strongest tracked post pulled 19K interactions, about 534x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on October 14, 2026. Recurring tag: #elinformeoppenheimer.

Where this sits in the catalog

At 0.006%, Andres Oppenheimer sits above the 10th percentile of the 205,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.143%
75th percentile0.679%
90th percentile2.56%
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 19:00 UTC, and Monday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 100% 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 294 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

  • Aug 3, 2026534x their median

    JUST IN: Capital One says it closed hundreds of bank accounts associated with President Trump and his businesses in 2021 "for anti-money laundering reasons," according to a recent court filing from the financial institution. Read more: https://t.co/WR53gFyiF0 https://t.co/0ZPN45QFic

    13K4.5K789395690K viewsView on X
  • Aug 5, 202691x their median

    Vice President Kamala Harris endorses Abdul El-Sayed for U.S. Senate in Michigan. “This was a hard-fought Democratic primary, and Michiganders were lucky to have such inspiring leaders step up in this moment.” https://t.co/3muwfTUy9G

    2.8K303561763K viewsView on X
  • May 2, 202432x their median

    🌎Un viaje en busca de la felicidad.📷 La investigación periodística para escribir "COMO SALIR DEL POZO" me llevó a viajar a varios países para ver que hacen los gobiernos, empresas, escuelas y las personas para ser más felices. Lo puedes pedir aca: https://t.co/ImZtApUxiL https://t.co/hi9EUb2E4E

    389643814149K viewsView on X
  • Aug 5, 202618x their median

    Breaking news: Democrat Abdul El-Sayed, a former public health official who built a surging progressive movement in Michigan, overcame a massive spending disadvantage to win Tuesday’s nationally watched Senate primary, AP projected. He beats establishment candidate Rep. Haley Stevens (D). https://t.co/hG2s8hGKxP

    4181119919135K viewsView on X
  • Oct 5, 202618x their median

    El voto hispano se está perfilando como la peor pesadilla electoral del presidente Trump en las cruciales elecciones intermedias del 3 de noviembre: puede hacerle perder el control del Congreso y convertirlo en un mandatario débil por el resto de su gestión. Las encuestas anticipan una rebelión masiva de los hispanos contra Trump. De producirse, Trump podría perder la Cámara de Representantes y – aunque menos probable – también el Senado. Vean las consecuencias que tendria un triunfo democrata en mi columna en O Estado de Sao Paulo: https://t.co/oTMn2O3U2x

    377188571122K viewsView on X
  • Aug 12, 20268.3x their median

    Buena noticia para el Partido Demócrata, mala noticia para Trump: la extrema izquierda del Partido Demócrata, los Demócratas Socialistas de América (DSA), perdieron una batalla crucial anoche en las primarias del partido para la gobernatura de Wisconsin. Perdió la candidata del DCA Francesca Wong contra un demócrata moderado. El partido republicano había invertido dinero en fortalecer la candidatura de Wong, bajo la premisa que ella sería más fácil de derrotar, según reportó CNN. Lean mi columna sobre el movimiento de los Demócratas Socialistas de América, y lo que dice su pagina oficial (incluyendo “Viva la Revolución Cubana!” y otros disparates): https://t.co/zYX0uyKh4P

    1877225622K viewsView on X
  • Oct 9, 20263.9x their median

    Mi artículo sobre los centros de datos de América Latina para la revista Americas Quarterly: La región puede convertirse en un centro global de centros de datos, pero no será de mucha ayuda a menos que mejore drásticamente su educación y formación de trabajadores: https://t.co/fG4AJo9LQx

    8938647.0K viewsView on X
  • Aug 16, 20262.7x their median

    El alarmante informe de la ONU sobre el comercio en America Latina. Vean esto en el canal de YouTube "Oppenheimer Presenta" y registrate alli para recibir nuestros programas gratis: https://t.co/k7zlW2gJY2

    74163027K viewsView on X
  • Aug 17, 20262.4x their median

    El Presidente Trump está subiendo la presión para que los países latinoamericanos acepten realizar operaciones militares conjuntas contra los narcos. ¿Pero seran efectivos estos ataques, o un show para la tribuna? Lean: https://t.co/pKlJGLUzZP

    56179211K viewsView on X
  • Oct 1, 2026

    ¿Se viene el fin del mundo por la inteligencia artificial, o son exageraciones? Mi comentario en el canal “Oppenheimer Presenta” de YouTube: https://t.co/GgQPB8YBvo

    2672011K 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

#elinformeoppenheimer

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 35 interactions against 549K followers, an engagement rate of 0.006%. Posts are seen about 7.0K times each, and 0.5% of those impressions turn into an interaction. That is about 1.27% 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, with activity on roughly 47% of days. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 100% link out. The account's strongest tracked post pulled 19K interactions, about 534x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Andres Oppenheimer's engagement rate on X?
Andres Oppenheimer (@oppenheimera) has an engagement rate of 0.006%, based on the median interactions across 5 original posts from the last 30 days against 549,370 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Andres Oppenheimer sits above the 10th percentile of the 205,582 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 @oppenheimera have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @oppenheimera post?
Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 1.5 posts per day across the measured window.

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