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Míriam Leitão engagement report

@miriamleitao - 2.9M followers on X

Measured over 20 original posts from a 30-day window, last computed on August 20, 2026.

Engagement

Middle of its size range
Per follower
0.012%
of 2.9M followers
Per impression
1.84%
18K views on a typical post
Reach
0.63%
of its followers see a post
Typical post
334
interactions (median)
Saved
0.008%
2 bookmarks on a typical post
Posting rate
0.8/day
active 43% of days
Peak time
11:00 UTC
Thursday

A typical post picks up 334 interactions against 2.9M followers, an engagement rate of 0.012%. Measured over 20 original posts, its engagement rate beats 49% of 1,003 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 18K times each, and 1.84% of those impressions turn into an interaction. That is about 0.629% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 11:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 10% carry an image or video and 100% link out. The account's strongest tracked post pulled 8.8K interactions, about 26x its own typical post.

Measured over 20 original posts from a 30-day window, last computed on August 20, 2026.

Compared with accounts its own size

Míriam Leitão's engagement rate beats 49% 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 76% 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 0.012%, Míriam Leitão sits above the 25th percentile of the 9,789 accounts in this comparison. That places it in the below the median band, which runs 0.006% to 0.046%.

p100.001%
p250.006%
p50 (median)0.046%
p750.319%
p902.64%
p99357.2%
Engagement rate as a share of followers, across the 9,789 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 446,562 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 percentile0.006%
50th percentile0.046%
75th percentile0.319%
90th percentile2.64%
99th percentile357.2%

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 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: 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 96%Busiest day: Thursday
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 video10% of posts+79%+73% to +85%5.8K
Outbound link100% of posts-49%-50% to -47%6.1K
Typical length--7%-8% to -5%9.0K
  • 10% 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.
  • 100% 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 109 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 7% 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

  • Jun 25, 202626x their median

    Brasil condenado injustamente. E o problema contra o país teve apoio dos Bolsonaro. https://t.co/lkOzrH0O4Y

    5.1K1.2K2.4K9792K viewsView on X
  • Jul 27, 202621x their median

    A quebra de protocolo diplomático por Milei teve ajuda de Tarcísio e Flávio Bolsonaro https://t.co/FUhHoSFYWD

    4.4K9301.7K100159K viewsView on X
  • Aug 7, 202620x their median

    Esposa de Ramagem acumula férias, licenças e faltas e está há nove meses sem atuar como procuradora. Nota de @anacaroldiniz https://t.co/HGvRHAqqsX

    4.5K9401.2K82123K viewsView on X
  • Aug 4, 202614x their median

    Caso do visto da embaixadora é ato de extrema hostilidade de Trump contra Brasil https://t.co/gQ2E92MCla

    2.1K3282.1K71153K viewsView on X
  • Aug 6, 202612x their median

    Tensão nos casos Master e INSS./ André Mendonça em conflito com a Polícia Federal. Veja a coluna 👇🏽 https://t.co/Kz7nh1tTGC

    2.8K6255625683K viewsView on X
  • Aug 12, 20263.6x their median

    Inflação e preços levam avaliação de Trump ao pior nível do mandato, segundo a The Economist https://t.co/Rs8aX3MpKk

    790126271819K viewsView on X
  • Jul 2, 20263.4x their median

    Pecuária não conseguirá adiar o abate indefinidamente, e preços tendem a cair https://t.co/10ME0b7ZTu

    8491151381949K viewsView on X
  • Aug 6, 20262.7x their median

    Nome de Alfredo Gaspar na chapa de Flávio Bolsonaro indica improviso e falta de alternativas, avalia cientista político https://t.co/85pdv9vkGe

    58071232816K viewsView on X
  • Jul 30, 20261.8x their median

    O vento trouxe um aviso: preparar o país para o El Niño https://t.co/jFibOccd4O

    5124939421K viewsView on X
  • Jul 2, 20261.7x their median

    Operação de hoje da PF mostra o puro suco do Rio de Janeiro https://t.co/Wpi3xnCsiZ

    4527244811K 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 334 interactions against 2.9M followers, an engagement rate of 0.012%. Measured over 20 original posts, its engagement rate beats 49% of 1,003 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 18K times each, and 1.84% of those impressions turn into an interaction. That is about 0.629% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 11:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 10% carry an image or video and 100% link out. The account's strongest tracked post pulled 8.8K interactions, about 26x its own typical post.

What is Míriam Leitão's engagement rate on X?
Míriam Leitão (@miriamleitao) has an engagement rate of 0.012%, based on the median interactions across 20 original posts from the last 30 days against 2,881,770 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.012%, Míriam Leitão sits above the 25th percentile of the 9,789 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 @miriamleitao have real engagement?
Its engagement rate beats 49% of the tracked X accounts closest to it in follower count (1,003 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 @miriamleitao post?
Most posts go out around 11:00 UTC, and Thursday is its busiest day, at roughly 0.8 posts per day across the measured window.

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