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๐™‡๐™ค๐™ก๐™– ๐™ˆ๐™š๐™ฃ๐™ฉ๐™ค engagement report

@007Lola_Mento - 158K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Per follower
0.657%
of 158K followers
Per impression
3.65%
29K views on a typical post
Reach
18.0%
of its followers see a post
Typical post
1.0K
interactions (median)
Saved
0.119%
34 bookmarks on a typical post
Posting rate
0.63/day
active 47% of days
Peak time
00:00 UTC
Monday

Early reading. We have captured 7 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 1.0K interactions against 158K followers, an engagement rate of 0.657%. Posts are seen about 29K times each, and 3.65% of those impressions turn into an interaction. That is about 18.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 4.4K interactions, about 4.3x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on September 22, 2026.

Where this sits in the catalog

At 0.657%, ๐™‡๐™ค๐™ก๐™– ๐™ˆ๐™š๐™ฃ๐™ฉ๐™ค sits above the 50th percentile of the 205,676 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.679%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,676 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.679%
90th percentile2.56%
99th percentile82.4%

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 00:00 UTC, and Monday 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 118 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

  • Aug 31, 20264.3x their median

    Y en este caso de quien fue responsabilidad? Del que manejaba el carro o del motociclista? ๐Ÿค”๐Ÿค”๐Ÿค” https://t.co/IDfRHYidYX

    1.7K2302.4K90202K viewsView on X
  • Sep 4, 20261.6x their median

    Hay una pequeรฑa diferencia en hacer las cosas y hacerlas las cosas bien ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚ les ha pasado? https://t.co/na7MGbztMk

    1.5K155509109K viewsView on X
  • Jul 1, 20261.6x their median

    Te amo perrito que saluda mientras suena el Himno Nacional ๐Ÿ˜ https://t.co/IYStV7RF75

    1.4K1986638K viewsView on X
  • Jul 16, 2026

    "ยฟPor quรฉ los latinos no festejamos cuando ganan los argentinos? Porque muchos de ellos mismos dicen que no son latinos, que son mรกs europeos, entonces que les festeje Europa ๐Ÿ˜‚๐Ÿ˜‚ Ya no se sorprenderme o aplaudir su "honestidad" con tufo a superioridad https://t.co/AtzwuXzXNG

    8911551411638K viewsView on X
  • Sep 7, 2026

    Este hรฉroe sin capa se aventรณ al trรกfico, salvรณ a una niรฑa de ser atropelladaโ€ฆ y ni siquiera se ve un โ€œgraciasโ€ por parte de los padres. Hay gente que nace con instinto. Y hay gente que nace con hijos. https://t.co/GxKyoEa0VC

    93116829317K viewsView on X
  • Jul 4, 2026

    No sรฉ quรฉ me sorprendiรณ mรกsโ€ฆ La moto acuรกtica o el Tsuru que sigue rodando como si nada ๐Ÿ˜‚ En cuรกl confiarรญan para salir de la inundaciรณn?. . #lluvia #inundaciรณn #Mรฉxico https://t.co/KTMTf3mrOI

    92516010675K viewsView on X
  • Aug 25, 2026

    No culpo a la tortuga, cualquiera lo habrรญa hecho ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚ Si o no? https://t.co/ixvWkyFzhl

    9065279429K viewsView on X
  • Aug 30, 2026

    Arrollan al hombre que estรก en la banqueta ... De acuerdo al reglamento del trรกnsito, quiรฉn tendrรญa la culpa? El carro o la moto? ๐Ÿค” https://t.co/8IcWSjn4y7

    47551240763K viewsView on X
  • Jul 15, 2026

    Neta Argentina?โ€ฆ ยฟalguien mรกs aparte de los propios argentinos se pone realmente feliz cuando ganan? ยฟO todos aquรญ nada mรกs estamos con cara de "ยฟotra vez?" ๐Ÿ™„ https://t.co/uhX2UVsgIG

    115382117K viewsView on X
  • Aug 24, 2026

    Se me hace que esas patas no son de esa mesa ๐Ÿคจ O si? ๐Ÿค”๐Ÿค” https://t.co/zlDPbRIQQz

    157115113K 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 1.0K interactions against 158K followers, an engagement rate of 0.657%. Posts are seen about 29K times each, and 3.65% of those impressions turn into an interaction. That is about 18.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 4.4K interactions, about 4.3x its own typical post. Only 7 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 ๐™‡๐™ค๐™ก๐™– ๐™ˆ๐™š๐™ฃ๐™ฉ๐™ค's engagement rate on X?
๐™‡๐™ค๐™ก๐™– ๐™ˆ๐™š๐™ฃ๐™ฉ๐™ค (@007Lola_Mento) has an engagement rate of 0.657%, based on the median interactions across 7 original posts from the last 30 days against 158,452 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.657%, ๐™‡๐™ค๐™ก๐™– ๐™ˆ๐™š๐™ฃ๐™ฉ๐™ค sits above the 50th percentile of the 205,676 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 @007Lola_Mento have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @007Lola_Mento post?
Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 0.63 posts per day across the measured window.

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