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 La One Two engagement report

@ONETWO507 - 279K followers on X

Measured over 39 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.012%
of 279K followers
Per impression
0.833%
4.1K views on a typical post
Reach
1.46%
of its followers see a post
Typical post
34
interactions (median)
Saved
0.049%
2 bookmarks on a typical post
Posting rate
1.37/day
active 30% of days
Peak time
22:00 UTC
Thursday

A typical post picks up 34 interactions against 279K followers, an engagement rate of 0.012%. Measured over 39 original posts, its engagement rate beats 26% of 20,444 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 4.1K times each, and 0.833% of those impressions turn into an interaction. That is about 1.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 22:00 UTC, and Thursday is the busiest day of the week. Of the 39 posts sampled, 90% carry an image or video. The account's strongest tracked post pulled 2.4K interactions, about 72x its own typical post.

Measured over 39 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

 La One Two's engagement rate beats 26% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 38% 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 0.012%,  La One Two sits above the 10th percentile of the 205,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
90th percentile2.55%
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 22:00 UTC, and Thursday 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video90% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 90% 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 117 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

  • Oct 22, 202672x their median

    Tal vez yo no sepa mucho de fútbol pero esto se nota que es amor por el equipo https://t.co/S70DkSZAmV

    2.3K1214099K viewsView on X
  • Oct 22, 202643x their median

    Por estás cosas es que no entro a Tik Tok https://t.co/wBv6IuoL5m

    1.3K567523118K viewsView on X
  • Sep 6, 202640x their median

    Una de las mejores escenas de nuestra querida @LAURAZAPATAM Actrices como ella NO EXISTEN YA. Te Amo mi Laura preciosa 💎 https://t.co/Vdwhd4NBiM

    1.2K10238381K viewsView on X
  • Sep 15, 202638x their median

    Acabo de ver este video del alcalde de ustedes @mayer dándole una noche en el hotel Sheraton a una persona que estaba formando fila para la feria de empleo. Una noche en el Sheraton, en serio, mi pregunta es por qué no agarró a esas dos personas que estaban formando fila y como premio en vez de darle la noche en el Sheraton les decía que gracias a su puntualidad mañana tenían trabajo en la alcaldía de Panamá. Y que se fueran a sus casas que tenían trabajo asegurado. Pero la cabeza no le da... El alcalde de ustedes no hace absolutamente nada si no lo tiene pensado para la taquilla. Él no puede premiar en ausencia de las redes sociales, él tiene que hacerle ver a todo Panamá que disque es empático, cuando sabemos que hace esto para causar tráfico en las noticias y bla bla bla a su favor, el héroe del necesitado. Nada le costaba decirles en ausencia de las redes sociales mañana están contratados pasen por la alcaldía a firmar sus contratos.... No él prefirió darle una noche en el Sheraton gastando plata cuando ellos lo necesitan. Y a mí no me vengan con el cuento que sí hace lo critican y si no hace también, el todo lo que hace lo hace con el fin de que ustedes le aplaudan este tipo de pendejadas. Al final habrán miles de personas formando fila porque no hay trabajo en este país, y él saldrá a decir que la feria de empleo fue todo un éxito, pero jamás ha salido a decir cuántos empleos fueron dados en esa feria y qué estaban buscando. Esta vaina me huele a campaña política para que ustedes voten por él para que siga nombrando asesores. @Panamaalcaldia

    9261372051877K viewsView on X
  • Oct 14, 202624x their median

    Me encanta todo el equipo de producción de @Mayer creando incansablemente videos para ponerlo como el mesías que llevará al pueblo a la tierra prometida. Cada video es una campaña de publicidad y la gente no se da cuenta. https://t.co/pJ4QiZGSy2

    5691251011314K viewsView on X
  • Aug 8, 202623x their median

    Estoy en contra del nuevo concepto de policía municipal. Eso nació para cuidar parques y monumentos y no se puede transformar en otra policía. Además de inconstitucional , cada alcalde puede hacer lo mismo y sería un desastre, aparte de los uniformes que se confunden con el SPI. Ojalá se tumbe eso.

    5271131223481K viewsView on X
  • Sep 17, 202615x their median

    Despues me dicen que yo soy loca, Pero es que hay gente con sentido común. https://t.co/LvPYO8Jvzu

    3727858416K viewsView on X
  • Sep 18, 202614x their median

    Querer robarse el crédito por la construcción de aceras ejecutado por un proyecto inmobiliario, es lo más patético que he visto en mucho tiempo. ¿Por qué las aceras que realmente está construyendo la @Panamaalcaldia no se ven así? Cc @arquiterror https://t.co/7vxxXAlUtq

    33590361036K viewsView on X
  • Sep 11, 202612x their median

    La gente ya no perdona... @Mayer que fue lindi. Y la @Panamaalcaldia que hace. https://t.co/uGpQe0gGMW

    3266518125K viewsView on X
  • Aug 25, 202611x their median

    Que pasa con la friking justicia en este país. Se premia a los hijos de la gran p... Que cometen crímenes y las víctimas son las que quedan con todo el peso de las injusticias. Que va https://t.co/sZtTHZnxzj

    21611026711K 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 34 interactions against 279K followers, an engagement rate of 0.012%. Measured over 39 original posts, its engagement rate beats 26% of 20,444 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 4.1K times each, and 0.833% of those impressions turn into an interaction. That is about 1.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 22:00 UTC, and Thursday is the busiest day of the week. Of the 39 posts sampled, 90% carry an image or video. The account's strongest tracked post pulled 2.4K interactions, about 72x its own typical post.

What is  La One Two's engagement rate on X?
 La One Two (@ONETWO507) has an engagement rate of 0.012%, based on the median interactions across 39 original posts from the last 30 days against 278,980 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.012%,  La One Two sits above the 10th percentile of the 205,261 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 @ONETWO507 have real engagement?
Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (20,444 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 @ONETWO507 post?
Most posts go out around 22:00 UTC, and Thursday is its busiest day, at roughly 1.37 posts per day across the measured window.

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