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Escritos engagement report

@AquiLoLei - 1.7M followers on X

Measured over 16 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 1.7M followers
Per impression
1.26%
17K views on a typical post
Reach
1.03%
of its followers see a post
Typical post
216
interactions (median)
Saved
0.073%
12 bookmarks on a typical post
Posting rate
0.77/day
active 23% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 216 interactions against 1.7M followers, an engagement rate of 0.013%. Measured over 16 original posts, its engagement rate beats 50% of 3,809 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 17K times each, and 1.26% of those impressions turn into an interaction. That is about 1.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 81% carry an image or video. The account's strongest tracked post pulled 1.7K interactions, about 7.8x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Escritos's engagement rate beats 50% of the tracked X accounts closest to it in follower count (3,809 accounts, accounts of similar size (decile 10 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 63% 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 0.013%, Escritos sits above the 25th percentile of the 36,852 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99159.8%
Engagement rate as a share of followers, across the 36,852 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,564 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 percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile159.8%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%54K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-3%95K
14:00 UTC-4%98K
15:00 UTC-2%101K
16:00 UTC-4%99K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%75K
21:00 UTC-1%66K
22:00 UTC-2%58K
23:00 UTC-2%52K
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 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%232K
Monday0%290K
Tuesday-2%281K
Wednesday-1%252K
Thursday-2%245K
Friday-3%254K
Saturday+3%228K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 23, 20267.8x their median

    https://t.co/Z1tutiTyaE

    1.4K2561456K viewsView on X
  • Aug 1, 20266.3x their median

    https://t.co/O4IDRd3HpK

    1.1K24851855K viewsView on X
  • Aug 1, 20266.2x their median

    https://t.co/yNFCOAQJ8y

    1.1K2202756K viewsView on X
  • Aug 27, 20266.0x their median

    https://t.co/WmuHGYPWRY

    98428461629K viewsView on X
  • Jul 24, 20263.7x their median

    https://t.co/ojHIMI2qoF

    6641360645K viewsView on X
  • Aug 4, 20262.8x their median

    https://t.co/oUavWAIZIe

    522703141K viewsView on X
  • Aug 1, 20262.8x their median

    https://t.co/DFmHZkFgIq

    504872252K viewsView on X
  • Jul 17, 20262.4x their median

    Una relación puede sobrevivir a los errores, pero no a los patrones. El comportamiento repetido no es un error; es una elección. Las disculpas pierden su sentido cuando las acciones nunca cambian.

    3851280714K viewsView on X
  • Aug 27, 20262.2x their median

    https://t.co/LHkdUbn3iT

    371961117K viewsView on X
  • Aug 5, 20262.1x their median

    https://t.co/CPFwib2fqc

    386751217K 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 216 interactions against 1.7M followers, an engagement rate of 0.013%. Measured over 16 original posts, its engagement rate beats 50% of 3,809 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 17K times each, and 1.26% of those impressions turn into an interaction. That is about 1.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 81% carry an image or video. The account's strongest tracked post pulled 1.7K interactions, about 7.8x its own typical post.

What is Escritos's engagement rate on X?
Escritos (@AquiLoLei) has an engagement rate of 0.013%, based on the median interactions across 16 original posts from the last 30 days against 1,669,426 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Escritos sits above the 25th percentile of the 36,852 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 @AquiLoLei have real engagement?
Its engagement rate beats 50% of the tracked X accounts closest to it in follower count (3,809 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 @AquiLoLei post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 0.77 posts per day across the measured window.

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