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FMI engagement report

@FMInoticias - 329K followers on X

Measured over 26 original posts from a 30-day window, last computed on October 11, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 329K followers
Per impression
0.478%
2.6K views on a typical post
Reach
0.79%
of its followers see a post
Typical post
12
interactions (median)
Saved
0.038%
1 bookmarks on a typical post
Posting rate
1.3/day
active 50% of days
Peak time
16:00 UTC
Friday

A typical post picks up 12 interactions against 329K followers, an engagement rate of 0.004%. Measured over 26 original posts, its engagement rate beats 22% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.6K times each, and 0.478% of those impressions turn into an interaction. That is about 0.794% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 26 posts sampled, 92% carry an image or video, 23% are part of a thread and 69% link out. The account's strongest tracked post pulled 1.6K interactions, about 133x its own typical post.

Measured over 26 original posts from a 30-day window, last computed on October 11, 2026.

Compared with accounts its own size

FMI's engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 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 30% 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 0.004%, FMI sits above the 10th percentile of the 204,880 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 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%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%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 video92% of posts+111%+108% to +115%34K
Outbound link69% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 92% 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.
  • 69% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 275 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Sep 3, 2026133x their median

    El FMI y las autoridades de El Salvador han llegado a un acuerdo a nivel técnico sobre las segunda y tercera revisiones combinadas en el marco del Servicio Ampliado del FMI (SAF). Sujeto a la aprobación del Directorio del FMI, esto liberaría unos US$140m. https://t.co/MYF68pFoz2 https://t.co/b3mBDX9m6c

    954605231953K viewsView on X
  • Apr 21, 2026

    Thanks to Venezuela Acting President @delcyrodriguezv for a very valuable & productive call today. We discussed next steps in our engagement, with a focus on data, policy advice & capacity development. I underscored the commitment of the IMF to support the people of Venezuela. https://t.co/FkgYZgHlLq

    55417820370145K viewsView on X
  • Oct 8, 202622x their median

    La economía mundial enfrenta tres grandes corrientes contrapuestas: la rápida llegada de la IA, los elevados precios de la energía y niveles récord de deuda pública. @KGeorgieva explica por qué el éxito dependerá de nuestra capacidad para navegarlas. https://t.co/yAUJOn4jPN https://t.co/XsNpKN20ei

    156102379.7K viewsView on X
  • Jun 25, 2026

    My thoughts are with the people of Venezuela following the devastating earthquakes. Heartfelt condolences to those who lost loved ones. We remain closely engaged with the authorities as they assess the economic impact and recovery needs for Venezuela.

    1684317132K viewsView on X
  • Apr 18, 2026

    Previsão de crescimento do FMI para a América do Sul em 2026: 🇦🇷 Argentina: 3,5 % 🇧🇴 Bolívia: −3,3 % 🇧🇷 Brasil: 1,9 % 🇨🇱 Chile: 2,4 % 🇨🇴 Colômbia: 2,3 % 🇪🇨 Equador: 2,5 % 🇵🇾 Paraguai: 4,2 % 🇵🇪 Peru: 2,8 % 🇺🇾 Uruguai: 1,8 % 🇻🇪 Venezuela: 4,0 % https://t.co/Ny4EcoaYBl https://t.co/Wiz5KRd4hE

    1455613711K viewsView on X
  • Sep 29, 202616x their median

    1/2 Excellent discussion with Vice President @jrestrp and Finance Minister @miguel_gomez_m. Building on President @ABDELAESPRIELLA's request for deeper engagement with the IMF, we exchanged views on Colombia’s fiscal challenges and the authorities’ reform efforts. https://t.co/rkxfQHtFm2

    13835146215K viewsView on X
  • Jul 8, 202612x their median

    Actualización de los pronósticos de crecimiento del FMI para 2026: 🇺🇸 Estados Unidos:2,3% 🇩🇪 Alemania:0,7% 🇫🇷 Francia:0,6% 🇬🇧 Reino Unido:1,0% 🇨🇳 China:4,6% 🇯🇵 Japón:0,6% 🇮🇳 India:6,4% 🇷🇺 Rusia:1,1% 🇧🇷 Brasil:2,4% 🇸🇦 Arabia Saudita:1,7% 🇳🇬 Nigeria:4,1% https://t.co/z9d2EJN1ry https://t.co/zRmcx6f3vU

    83475816K viewsView on X
  • Apr 17, 2026

    Las Américas iniciaron 2026 con solidez: crecimiento cercano al potencial e inflación próxima al objetivo. Pero la guerra ha reconfigurado los precios de materias primas, las condiciones financieras y los flujos de capital de manera desigual en la región. https://t.co/uTdm3Hm8Z7 https://t.co/54CBkuysyO

    7644387.3K viewsView on X
  • Apr 19, 2026

    Previsión de crecimiento del FMI para América del Sur en 2026: 🇦🇷 Argentina: 3,5 % 🇧🇴 Bolivia: −3,3 % 🇧🇷 Brasil: 1,9 % 🇨🇱 Chile: 2,4 % 🇨🇴 Colombia: 2,3 % 🇪🇨 Ecuador: 2,5 % 🇵🇾 Paraguay: 4,2 % 🇵🇪 Perú: 2,8 % 🇺🇾 Uruguay: 1,8 % 🇻🇪 Venezuela: 4,0 % https://t.co/uTdm3Hm8Z7 https://t.co/GzOJ1IdZUd

    5828614.0K viewsView on X
  • Oct 9, 20266.3x their median

    A alta dos preços dos alimentos e da energia sãorepresenta um peso maior para as famílias mais pobres. O apoio direcionado, em vez de subsídios, é a melhor forma de protegê-las quando a inflação dispara. Saiba mais no novo blog [English only]: https://t.co/o5fIOgaSut https://t.co/69HUa0gH5F

    4525064.3K 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 12 interactions against 329K followers, an engagement rate of 0.004%. Measured over 26 original posts, its engagement rate beats 22% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.6K times each, and 0.478% of those impressions turn into an interaction. That is about 0.794% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 26 posts sampled, 92% carry an image or video, 23% are part of a thread and 69% link out. The account's strongest tracked post pulled 1.6K interactions, about 133x its own typical post.

What is FMI's engagement rate on X?
FMI (@FMInoticias) has an engagement rate of 0.004%, based on the median interactions across 26 original posts from the last 30 days against 329,140 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, FMI sits above the 10th percentile of the 204,880 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 @FMInoticias have real engagement?
Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size 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 @FMInoticias post?
Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 1.3 posts per day across the measured window.

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