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Observatório da Imprensa engagement report

@observatorio - 505K followers on X

Measured over 40 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 505K followers
Per impression
0.681%
954 views on a typical post
Reach
0.19%
of its followers see a post
Typical post
6
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 57% of days
Peak time
13:00 UTC
Monday

A typical post picks up 6 interactions against 505K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 10% of 3,899 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 954 times each, and 0.681% of those impressions turn into an interaction. That is about 0.189% 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 57% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 5% carry an image or video and 95% link out. The account's strongest tracked post pulled 28 interactions, about 4.7x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on August 28, 2026.

Compared with accounts its own size

Observatório da Imprensa's engagement rate beats 10% of the tracked X accounts closest to it in follower count (3,899 accounts, accounts of similar size (decile 7 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 41% 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%, Observatório da Imprensa sits below the 10th percentile of the 37,701 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99156.3%
Engagement rate as a share of followers, across the 37,701 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 104,204 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile156.3%

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 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 18, 20264.7x their median

    Um dos maiores jornais dos EUA fechou acordo com a Palantir para monetizar dados de leitores. O sindicato dos jornalistas quer a parceria encerrada. Vivaldo José Breternitz, doutor pela USP, traz o caso que coloca ética e IA em rota de colisão. https://t.co/RXfTPYGYn4

    20800898 viewsView on X
  • Aug 11, 20263.2x their median

    Existem leis contra bullying. Existem campanhas de vacinação. Existem protocolos. E quase ninguém sabe. Armando Medeiros de Faria, da ABCPública, conecta dois casos recentes ao maior problema da comunicação pública brasileira: a ausência de continuidade. https://t.co/l56oDUC1pz

    136001.1K viewsView on X
  • Aug 16, 20262.5x their median

    Uma curiosidade virou ferramenta: Lucas de Souza, programador de Governador Valadares, criou o Terminômetro para medir em tempo real o quanto as manchetes dos grandes portais brasileiros se parecem entre si. https://t.co/kQR8ANskBZ

    112111.3K viewsView on X
  • Aug 19, 20262.2x their median

    Um factoide repetido centenas de vezes acaba sendo percebido como fato. Carlos Castilho mapeia como o manejo da informação substituiu seu conteúdo nas eleições de outubro, antes mesmo da campanha começar. https://t.co/vjd4xVqkfU

    10210701 viewsView on X
  • Aug 16, 20262.0x their median

    47% dos brasileiros se identificam como negacionistas informativos. Carlos Castilho, doutor pela UFSC, mostra como o enviesamento de notícias em ano eleitoral alimenta essa desconfiança e o que está por trás das escolhas editoriais dos grandes jornais. https://t.co/lfimVSrSmu

    84001.2K viewsView on X
  • Aug 23, 20261.7x their median

    Cinco ferramentas de IA de código aberto para redações brasileiras. Nesta terça (25), às 19h, o Observatório da Imprensa reúne no YouTube do Projor as equipes da Agência Tatu, Ambiental Media, Correio Sabiá, InfoAmazonia e Revista AzMina para apresentar o que desenvolveram. https://t.co/R0mpPR80Af

    6400848 viewsView on X
  • Aug 20, 20261.7x their median

    A IA invadiu outra empresa. Mentiu para um humano. Tentou chantagear um engenheiro. E o mundo tratou tudo como rotina. Eugênio Bucci, professor da ECA-USP, diz que é questão de tempo, não "se", mas "quando". https://t.co/F8mviB28zE

    8101671 viewsView on X
  • Aug 27, 20261.5x their median

    Em 77% dos casos de estupro, o acusado é da própria família. Nomear o réu é identificar a criança para a vizinhança e para sempre. Sergio Couto Junior lista o que a cobertura jornalística ainda não aprendeu desde a Escola Base. https://t.co/nvvQc4wLpO

    8100830 viewsView on X
  • Aug 18, 20261.5x their median

    O Centrão não abandonou Flávio por causa do Master ou de Michelle. Abandonou porque Bolsonaro está preso e não tem mais "a caneta na mão". Carlos Wagner explica o que a escolha do vice revela sobre a campanha. https://t.co/s3kAOmGv2x

    81001.5K viewsView on X
  • Aug 25, 2026

    O Estado tinha dados, alertas e reclamações sobre as fraudes no INSS e ficou calado. Armando Medeiros de Faria, da ABCPública, elenca os cinco inimigos da comunicação pública que nenhum candidato está discutindo. https://t.co/2rwEHOwBGo

    80001.1K 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 6 interactions against 505K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 10% of 3,899 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 954 times each, and 0.681% of those impressions turn into an interaction. That is about 0.189% 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 57% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 5% carry an image or video and 95% link out. The account's strongest tracked post pulled 28 interactions, about 4.7x its own typical post.

What is Observatório da Imprensa's engagement rate on X?
Observatório da Imprensa (@observatorio) has an engagement rate of 0.001%, based on the median interactions across 40 original posts from the last 30 days against 504,673 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Observatório da Imprensa sits below the 10th percentile of the 37,701 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 @observatorio have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (3,899 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 @observatorio post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1.33 posts per day across the measured window.

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