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Leonardo Rocha engagement report

@Leo_Fit - 90K followers on X

Measured over 18 original posts from a 30-day window, last computed on August 29, 2026.

Engagement

Middle of its size range
Per follower
0.391%
of 90K followers
Per impression
6.15%
5.7K views on a typical post
Reach
6.35%
of its followers see a post
Typical post
348
interactions (median)
Saved
0.397%
22 bookmarks on a typical post
Posting rate
0.7/day
active 40% of days
Peak time
15:00 UTC
Friday

A typical post picks up 348 interactions against 90K followers, an engagement rate of 0.391%. Measured over 18 original posts, its engagement rate beats 74% of 6,874 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 5.7K times each, and 6.15% of those impressions turn into an interaction. That is about 6.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 18 posts sampled, 100% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 213K interactions, about 611x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on August 29, 2026.

Compared with accounts its own size

Leonardo Rocha's engagement rate beats 74% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 5 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 91% 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 0.391%, Leonardo Rocha sits above the 50th percentile of the 66,536 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.5%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99119.7%
Engagement rate as a share of followers, across the 66,536 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,995 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 percentile0.016%
50th percentile0.1%
75th percentile0.5%
90th percentile2.09%
99th percentile119.7%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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--3%-3% to -2%54K
  • 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 111 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Jul 15, 2026611x their median

    🩵🤍 Leo Messi: “I have been preparing for this World Cup for almost a year”. “I spent December in Argentina, training morning and afternoon, because I knew I was going to give everything to arrive in the best possible shape”. https://t.co/hDCp1AKN4A

    196K14K1.7K1.3K5.5M viewsView on X
  • Jul 15, 2026270x their median

    🚨🏴󠁧󠁢󠁥󠁮󠁧󠁿 Thomas Tuchel: “We will find a way to stop Leo Messi”, told Telegraph. https://t.co/ebI28jHEVS

    85K3.7K2.7K2.5K7.9M viewsView on X
  • Jul 17, 202617x their median

    Joder, parece un puto monstruo sacado de algún juego de miedo de la PS2. https://t.co/rUlqYJtMtm

    5.4K161302841.2M viewsView on X
  • Aug 28, 202612x their median

    Ve al pvt0 gimnasio. https://t.co/6mbZ2iP2O8

    3.9K9116048K viewsView on X
  • Jan 18, 20269.5x their median

    Otros 10k al bolsillo!⚡️ https://t.co/sUKMXnhsGH

    3.1K11434579K viewsView on X
  • Feb 28, 20269.0x their median

    This was my last 5 day water only fast No food. No supplements. Just water. By day 3 something shifts. Hunger quiets. Inflammation drops. Clarity sharpens. Your body stops asking for input and starts repairing. Most people never experience this level of reset. https://t.co/GmecFnwyvM

    2.8K147169172.0M viewsView on X
  • Aug 17, 20266.2x their median

    worst way to lose fat: RUNNING https://t.co/Wu6CbCdY9k

    2.1K622071.3M viewsView on X
  • Aug 25, 20266.0x their median

    Yo a los 19 // yo a los 38 https://t.co/sOU97jR1Qi

    2.0K2910152K viewsView on X
  • Jan 18, 20264.8x their median

    El abdomen mañanero debería ser así por siempre. 🤣 https://t.co/mhEGTfTkmr

    1.6K2417023K viewsView on X
  • Jan 24, 20264.5x their median

    ¿Qué opinan de mi cambio físico? https://t.co/saaKnt6PeS

    1.5K1977457K 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 348 interactions against 90K followers, an engagement rate of 0.391%. Measured over 18 original posts, its engagement rate beats 74% of 6,874 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 5.7K times each, and 6.15% of those impressions turn into an interaction. That is about 6.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 18 posts sampled, 100% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 213K interactions, about 611x its own typical post.

What is Leonardo Rocha's engagement rate on X?
Leonardo Rocha (@Leo_Fit) has an engagement rate of 0.391%, based on the median interactions across 18 original posts from the last 30 days against 89,818 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.391%, Leonardo Rocha sits above the 50th percentile of the 66,536 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 @Leo_Fit have real engagement?
Its engagement rate beats 74% of the tracked X accounts closest to it in follower count (6,874 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 @Leo_Fit post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 0.7 posts per day across the measured window.

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