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Graciela Ocaña engagement report

@gracielaocana - 291K followers on X

Measured over 17 original posts from a 30-day window, last computed on October 21, 2026.

Engagement

Middle of its size range
Per follower
0.023%
of 291K followers
Per impression
4.46%
1.5K views on a typical post
Reach
0.52%
of its followers see a post
Typical post
67
interactions (median)
Saved
0.067%
1 bookmarks on a typical post
Posting rate
1.33/day
active 53% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 67 interactions against 291K followers, an engagement rate of 0.023%. Measured over 17 original posts, its engagement rate beats 34% of 20,444 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 1.5K times each, and 4.46% of those impressions turn into an interaction. That is about 0.516% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 5.2K interactions, about 77x its own typical post.

Measured over 17 original posts from a 30-day window, last computed on October 21, 2026. Recurring tag: #vilouta910.

Compared with accounts its own size

Graciela Ocaña's engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 84% 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 0.023%, Graciela Ocaña sits above the 10th percentile of the 205,475 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 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 percentile0.678%
90th percentile2.55%
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 13:00 UTC, and Thursday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 0% 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 344 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 28, 202677x their median

    Les comparto las palabras de Flor. Todos los comunicados saldrán desde su cuenta, y yo voy a colaborar con la difusión. Por favor no caigan en avivadas de gente que hace colectas, aún no salió nada oficial. https://t.co/PZbFSwm0hM

    3.5K1.5K996878K viewsView on X
  • Oct 1, 202659x their median

    Había caja fuerte. Había cuadernos. Había bolsos. Había plata que nunca pudieron explicar. Y todavía hay quienes gritan “Cristina libre”. ¿De verdad pueden mirar a la cara a los argentinos que no llegan a fin de mes y defender a quien fue condenada por robarle al Estado? ¡La plata que se afanaron era de todos!

    2.1K8479215644K viewsView on X
  • Aug 22, 202631x their median

    Avara y desvergonzada: desde la comodidad de su departamento la condenada no repara en que, mientras litiga en la justicia para mantener sus privilegios y cobrar 16 millones de pesos, la mayoría de los jubilados ganan menos de 500 mil haciendo lo imposible para llegar a fin de mes. Mantendré el recurso que presenté ante la Corte Suprema para revertir esta injusticia. Anses ha hecho lo propio. Cristina es el ejemplo perfecto de la doble moral del kirchnerismo. De la poca para afuera hablan de justicia social pero se llenan los bolsillos a costa del hambre de la gente.

    1.1K5873444917K viewsView on X
  • Aug 28, 202625x their median

    Accidente fatal en Santiago del Estero: murió “El Polaco” Groh Riemersma, referente del proteccionismo animal en la Argentina https://t.co/0NMODYqoWb

    1.4K263691646K viewsView on X
  • Aug 26, 202621x their median

    Finalmente, la verdad está saliendo a la luz. La declaración del contador de Techint en la causa Cuadernos fue contundente: la matriz de corrupción kirchnerista atravesaba la obra pública y alcanzaba a las principales empresas del país. Ahora esperamos que la Justicia llegue hasta las últimas consecuencias, determine todas las responsabilidades y se recupere hasta el último peso que nos robaron a todos los argentinos.

    92743656810.0K viewsView on X
  • Oct 8, 202619x their median

    ¡Al fin! ¡Recuperemos lo robado a todos los argentinos! https://t.co/2hv02xwaux

    7872662321611K viewsView on X
  • Sep 3, 202616x their median

    Ministro Caputo: no condene a los adultos mayores. Es fundamental que el Ministerio de Economía le envíe al PAMI los fondos que le corresponden para su correcto funcionamiento. Las quejas y cortes en las presraciones se repiten a lo largo de todo el país. Mirar para otro lado, es negarle los servicios de salud a los que más la necesitan.

    62434869218.3K viewsView on X
  • Aug 19, 202615x their median

    Ayuden con RT para que se pongan las pilas y resuelvan esto. Desde hace dos meses el edificio donde viven mis suegros y toda la cuadra de Aníbal Troilo (Corrientes y Angel Gallardo) más otros edificios están con problemas de cortes de luz. Les pusieron un grupo electrógeno que se saturó y ahora agregan otro. El ruido es molesto, los cortes se repiten y no aparece la solución. El origen es que se inunda una cámara por un trabajo mal hecho por @gcba y ahora se tiran la pelota entre @AySA_Oficial, @OficialEdesur y el gobierno de la Ciudad. Por favor que los responsables se hagan cargo.

    448490251027K viewsView on X
  • Aug 17, 20269.4x their median

    Facundo Moyano no se hizo rico trabajando, construyó su vida de lujos a costa de los trabajadores y los acuerdos con el kirchnerismo. Le crearon un sindicato para él. Hoy exhibe su vida de millonario y pretende que nadie le pregunte de dónde salió la plata. https://t.co/6dA6n0NOeM

    4092031515.6K viewsView on X
  • Aug 13, 20268.9x their median

    Yategate: el juez armella antes de dejar hoy el juzgado de lomas de zamora sobreseyo a Sofía Clerici como presunta testaferro de Martín Insaurralde https://t.co/R97w5C7Jaa

    251225754422K 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

#vilouta910

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 67 interactions against 291K followers, an engagement rate of 0.023%. Measured over 17 original posts, its engagement rate beats 34% of 20,444 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 1.5K times each, and 4.46% of those impressions turn into an interaction. That is about 0.516% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 5.2K interactions, about 77x its own typical post.

What is Graciela Ocaña's engagement rate on X?
Graciela Ocaña (@gracielaocana) has an engagement rate of 0.023%, based on the median interactions across 17 original posts from the last 30 days against 290,615 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.023%, Graciela Ocaña sits above the 10th percentile of the 205,475 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 @gracielaocana have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 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 @gracielaocana post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 1.33 posts per day across the measured window.

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