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safadenha engagement report

@ousafadenha - 1.8M followers on X

Measured over 89 original posts from a 30-day window, last computed on August 22, 2026.

Engagement

Middle of its size range
Per follower
0.004%
of 1.8M followers
Per impression
1.02%
7.7K views on a typical post
Reach
0.42%
of its followers see a post
Typical post
79
interactions (median)
Saved
0.065%
5 bookmarks on a typical post
Posting rate
3.77/day
active 23% of days
Peak time
13:00 UTC
Friday

A typical post picks up 79 interactions against 1.8M followers, an engagement rate of 0.004%. Measured over 89 original posts, its engagement rate beats 31% 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 7.7K times each, and 1.02% of those impressions turn into an interaction. That is about 0.422% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.8 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 89 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 250x its own typical post.

Measured over 89 original posts from a 30-day window, last computed on August 22, 2026.

Compared with accounts its own size

safadenha's engagement rate beats 31% of the tracked X accounts closest to it in follower count (1,003 accounts, accounts of similar size (decile 8 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 55% 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 0.004%, safadenha 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 13:00 UTC, and Friday 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 96%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 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 96%Busiest day: Friday
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 link0% of posts-49%-50% to -47%6.1K
Typical length-+7%+4% to +9%7.2K
  • 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.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
  • Its average post runs 66 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 7% 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 20, 2026250x their median

    Tragédia anunciada, né?! A princesa saiu com as amigas enquanto o namorado ficou em casa. Bebeu, ficou animadinha e acabou se envolvendo com um cara que conheceu na noite. O plano era ninguém descobrir, até as mídias dos dois circularem na net. O resto tá nos comentários.. https://t.co/mFsLrRr94J

    19K67711143.2M viewsView on X
  • Aug 18, 2026108x their median

    Tragédia anunciada, né?! A princesa saiu com as amigas enquanto o namorado ficou em casa. Bebeu, ficou animadinha e acabou se envolvendo com um cara que conheceu na noite. O plano era ninguém descobrir… até as mídias dos dois vazarem. O resto tá nos comentários 👇 https://t.co/zLC17J4OUB

    8.2K23953113.7M viewsView on X
  • Aug 18, 202642x their median

    Gente? e essa mulher que voltou a morar com o ex, depois que voltou a cirlular um certo vídeo dos dois. O atual largou na hora, e eu até entendo PT2 nos comentários ... https://t.co/6e9MbCHAIQ

    3.2K13265406K viewsView on X
  • Aug 18, 202637x their median

    https://t.co/EzRROj5u6R

    2.1K81101731K viewsView on X
  • Aug 21, 202623x their median

    Povo? Ninguém esperava descobrir o que essa frentista fazia com o gerente nos bastidores do posto… Os dois mantinham tudo em segredo, até as câmeras de segurança entregarem a intimidade deles. O vídeo vazou e começou a rodar pela região. O resto tá nos comentários… https://t.co/D5CLlPljlq

    1.7K97482.4M viewsView on X
  • Aug 21, 202623x their median

    https://t.co/WowREimAAP

    1.5K26562420K viewsView on X
  • Aug 17, 202618x their median

    https://t.co/I3cbryA4Rs

    1.1K3582519K viewsView on X
  • Aug 17, 202612x their median

    https://t.co/YOK3w8CPY6

    7062321615K viewsView on X
  • Aug 18, 202611x their median

    https://t.co/Y4Wlw0itTZ

    704166207.6K viewsView on X
  • Aug 21, 20269.9x their median

    https://t.co/Ci3O98CoW9

    6511312211K 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 79 interactions against 1.8M followers, an engagement rate of 0.004%. Measured over 89 original posts, its engagement rate beats 31% 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 7.7K times each, and 1.02% of those impressions turn into an interaction. That is about 0.422% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.8 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 89 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 250x its own typical post.

What is safadenha's engagement rate on X?
safadenha (@ousafadenha) has an engagement rate of 0.004%, based on the median interactions across 89 original posts from the last 30 days against 1,828,611 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, safadenha 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 @ousafadenha have real engagement?
Its engagement rate beats 31% 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 @ousafadenha post?
Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 3.77 posts per day across the measured window.

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