Back to @acuareeela's profile

ִ ࣪𖤐⋆˖⁺‧₊☽◯☾₊‧⁺˖⋆ִ ࣪𖤐 engagement report

@acuareeela - 719K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Per follower
0.033%
of 719K followers
Per impression
0.827%
29K views on a typical post
Reach
4.00%
of its followers see a post
Typical post
238
interactions (median)
Saved
0.106%
30 bookmarks on a typical post
Posting rate
0.17/day
active 13% of days
Peak time
05:00 UTC
Tuesday

Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 238 interactions against 719K followers, an engagement rate of 0.033%. Posts are seen about 29K times each, and 0.827% of those impressions turn into an interaction. That is about 4.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 05:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video and 75% link out. The account's strongest tracked post pulled 110K interactions, about 461x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 4 original posts from a 30-day window, last computed on September 1, 2026.

Where this sits in the catalog

At 0.033%, ִ ࣪𖤐⋆˖⁺‧₊☽◯☾₊‧⁺˖⋆ִ ࣪𖤐 sits above the 25th percentile of the 36,521 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%
p750.434%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,521 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,166 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 percentile0.434%
90th percentile2.10%
99th percentile160.7%

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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 05:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • May 10, 2026461x their median

    https://t.co/dR5ryKPLpT

    99K9.5K2994712.2M viewsView on X
  • Sep 25, 202568x their median

    la ansiedad es un asco, sin querer te pones triste, te sientes solo incluso cuando no lo estás y a veces ni siquiera sabes qué te pasa

    21K6.7K13134593K viewsView on X
  • Jul 25, 202699x their median

    Oyeee mañana hay live en of a las 9 con mi sex machine Te dejé una promo para que te suscribas 💗 https://t.co/CMCdOb7EFW https://t.co/RDxFucmNH9

    23K46903297K viewsView on X
  • Oct 6, 202555x their median

    13 year old me was obsessed with her (still am) https://t.co/RwsBfYJr6r

    20K2.4K45355797K viewsView on X
  • Sep 29, 202552x their median

    "estoy bien" *no duerme, no come, se marea y se le cae el cabello*

    17K4.1K21206577K viewsView on X
  • Jan 24, 202661x their median

    Yo 🖤 https://t.co/6xMeBAqFuS

    14K240611359K viewsView on X
  • Apr 29, 202652x their median

    🐰 https://t.co/nh5JgWQZ8f

    12K18002244K viewsView on X
  • May 26, 202652x their median

    Te gusta? https://t.co/BSmEeNdFbj

    12K1951051180K viewsView on X
  • Jul 10, 202647x their median

    Hoy live en only 7pm 🖤 https://t.co/P9xxcJwE5x

    11K16000169K viewsView on X
  • Jun 25, 202644x their median

    Me extrañas ? Mañana regreso a lo rico . https://t.co/mXk0amcEhF

    10K210381147K 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.

Buy or sell X accounts - escrow-protected

PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 238 interactions against 719K followers, an engagement rate of 0.033%. Posts are seen about 29K times each, and 0.827% of those impressions turn into an interaction. That is about 4.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 05:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video and 75% link out. The account's strongest tracked post pulled 110K interactions, about 461x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is ִ ࣪𖤐⋆˖⁺‧₊☽◯☾₊‧⁺˖⋆ִ ࣪𖤐's engagement rate on X?
ִ ࣪𖤐⋆˖⁺‧₊☽◯☾₊‧⁺˖⋆ִ ࣪𖤐 (@acuareeela) has an engagement rate of 0.033%, based on the median interactions across 4 original posts from the last 30 days against 718,630 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.033%, ִ ࣪𖤐⋆˖⁺‧₊☽◯☾₊‧⁺˖⋆ִ ࣪𖤐 sits above the 25th percentile of the 36,521 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 @acuareeela have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @acuareeela post?
Most posts go out around 05:00 UTC, and Tuesday is its busiest day, at roughly 0.17 posts per day across the measured window.

Keep going