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Superinteressante engagement report

@revistasuper - 3.4M followers on X

Measured over 76 original posts from a 30-day window, last computed on August 23, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 3.4M followers
Per impression
0.482%
6.1K views on a typical post
Reach
0.18%
of its followers see a post
Typical post
30
interactions (median)
Saved
0.033%
2 bookmarks on a typical post
Posting rate
2.53/day
active 47% of days
Peak time
11:00 UTC
Tuesday

A typical post picks up 30 interactions against 3.4M followers, an engagement rate of 0.001%. Measured over 76 original posts, its engagement rate beats 18% of 1,003 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 6.1K times each, and 0.482% of those impressions turn into an interaction. That is about 0.181% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 76 posts sampled, 100% carry an image or video and 99% link out. The account's strongest tracked post pulled 189 interactions, about 6.3x its own typical post.

Measured over 76 original posts from a 30-day window, last computed on August 23, 2026.

Compared with accounts its own size

Superinteressante's engagement rate beats 18% of the tracked X accounts closest to it in follower count (1,003 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 40% 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 0.001%, Superinteressante sits above the 10th percentile of the 9,981 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.007%.

p100.001%
p250.007%
p50 (median)0.047%
p750.325%
p902.60%
p99357.9%
Engagement rate as a share of followers, across the 9,981 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 447,404 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 percentile0.047%
75th percentile0.325%
90th percentile2.60%
99th percentile357.9%

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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 96%Busiest hour: 11:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 96%Busiest day: Tuesday
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 video100% of posts+79%+73% to +85%5.8K
Outbound link99% of posts-49%-50% to -47%6.1K
Typical length--5%-7% to -4%7.9K
  • 100% 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.
  • 99% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% 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 255 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

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    Por que gatos miam para você abrir a porta, mas não entram quando você abre? Nem sempre fazer o que eles pedem é a melhor atitude a ser tomada 📖 Leia a matéria no link - https://t.co/Wd99o0wwOX https://t.co/PxQkjzO4fP

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  • Aug 18, 20265.2x their median

    Taxistas raramente sofrem de Alzheimer: mapas mentais complexos e raciocínio espacial protegem o cérebro Motoristas de táxi e de ambulância têm menos risco de morrer de Alzheimer. A navegação constante e o raciocínio espacial parecem proteger o... https://t.co/kQDnjdmw9H https://t.co/7klzLR8RSe

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  • Aug 21, 20264.9x their median

    Esta é a edição de agosto, já disponível nas bancas, no Mercado Livre, no app GoRead e no nosso site. https://t.co/UhlpAyBW1b

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  • Aug 11, 20264.4x their median

    Nova espécie de lagarto é nomeada em homenagem a dragão de “House of the Dragon” O Acanthosaura syrax vive nas florestas das montanhas da Tailândia. 📖 Leia a matéria no link - https://t.co/lxpIgZUX4G https://t.co/8lagmHe61s

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  • Aug 21, 20263.2x their median

    Quem bebe café tem mais músculos, menos gordura e diferenças hormonais Bebida pode estar ligada a um metabolismo mais eficiente, mas pesquisa não comprova relação de causa e efeito. 📖 Leia a matéria no link - https://t.co/dzWgVBKUMr https://t.co/cmYpDf1hWM

    839128.0K viewsView on X
  • Aug 21, 20263.1x their median

    Creutzfeldt-Jakob: entenda a doença enfrentada por Lito Sousa Doença rara e fatal é causada por proteínas que destroem neurônios. 📖 Leia a matéria no link - https://t.co/xVUwzJOobL https://t.co/QuZSq4UVOt

    8462014K viewsView on X
  • Aug 21, 20263.0x their median

    Cães entendem quando estamos felizes ou tristes pelas nossas expressões faciais Os cachorros conseguem identificar emoções como felicidade, raiva, medo e tristeza com base apenas nos rostos dos humanos. 📖 Leia a matéria no link - https://t.co/IwxHaG4lfN https://t.co/boyHdAo3Jm

    836006.4K viewsView on X
  • Aug 20, 20262.7x their median

    Goiaba pode ser aliada no combate à anemia, diz estudo Análise indica que a fruta favorece a absorção de ferro vindo dos vegetais, graças ao alto teor de vitamina C; saiba como tirar proveito. 📖 Leia a matéria no link - https://t.co/TmbuhHye0C https://t.co/ePPFGIKQjH

    738018.8K viewsView on X
  • Aug 22, 20262.6x their median

    DNA revela sociedade "matrilocal" na Inglaterra da Idade do Ferro Elas não saíam de casa para morar com o marido, e algumas delas tinham filhos com mais de um homem. 📖 Leia a matéria no link - https://t.co/ST95u1qCxO https://t.co/XAlyENLOwW

    744007.2K viewsView on X
  • Aug 10, 20262.4x their median

    Canto dos pássaros segue padrão encontrado na linguagem humana, diz estudo Aves canoras podem empregar a Lei de Zipf para facilitar o aprendizado entre gerações. Entenda como. 📖 Leia a matéria no link - https://t.co/APTVt7gLrU https://t.co/PhyQTDaMBr

    609208.6K 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 30 interactions against 3.4M followers, an engagement rate of 0.001%. Measured over 76 original posts, its engagement rate beats 18% of 1,003 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 6.1K times each, and 0.482% of those impressions turn into an interaction. That is about 0.181% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 76 posts sampled, 100% carry an image or video and 99% link out. The account's strongest tracked post pulled 189 interactions, about 6.3x its own typical post.

What is Superinteressante's engagement rate on X?
Superinteressante (@revistasuper) has an engagement rate of 0.001%, based on the median interactions across 76 original posts from the last 30 days against 3,384,145 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Superinteressante sits above the 10th percentile of the 9,981 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 @revistasuper have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (1,003 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 @revistasuper post?
Most posts go out around 11:00 UTC, and Tuesday is its busiest day, at roughly 2.53 posts per day across the measured window.

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