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Sismología UdeChile engagement report

@Sismos_CSN - 1.3M followers on X

Measured over 195 original posts from a 30-day window, last computed on October 26, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 1.3M followers
Per impression
0.141%
23K views on a typical post
Reach
1.80%
of its followers see a post
Typical post
33
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
6.5/day
active 93% of days
Peak time
21:00 UTC
Sunday

A typical post picks up 33 interactions against 1.3M followers, an engagement rate of 0.003%. Measured over 195 original posts, its engagement rate beats 18% 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 23K times each, and 0.141% of those impressions turn into an interaction. That is about 1.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 21:00 UTC, and Sunday is the busiest day of the week. The account's strongest tracked post pulled 497 interactions, about 15x its own typical post.

Measured over 195 original posts from a 30-day window, last computed on October 26, 2026.

Compared with accounts its own size

Sismología UdeChile's engagement rate beats 18% 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 10% 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 0.003%, Sismología UdeChile sits below the 10th percentile of the 204,491 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 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 percentile0.677%
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 21:00 UTC, and Sunday 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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 119 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

  • Sep 18, 202615x their median

    PRELIMINAR Hora Local: 2026/09/18 13:52:07, mag: 4.7, Lat: -33.32, Lon: -70.34, Prof: 95.81, Loc: 4.46 km al NO de Farellones

    324119292590K viewsView on X
  • Oct 12, 202613x their median

    PRELIMINAR Hora Local: 2026/10/12 15:17:19, mag: 4.6, Lat: -33.71, Lon: -71.76, Prof: 37.63, Loc: 19.39 km al SO de San Antonio

    291103301474K viewsView on X
  • Sep 18, 20269.0x their median

    Hora Local: 2026/09/18 13:52:07, mag: 4.7, Lat: -33.33, Lon: -70.35, Prof: 97.62, Loc : 4.24 km al NO de Farellones

    18874211456K viewsView on X
  • Oct 12, 20266.5x their median

    Hora Local: 2026/10/12 15:17:19, mag: 4.8, Lat: -33.69, Lon: -71.72, Prof: 41.41, Loc : 16.05 km al SO de San Antonio

    1346091335K viewsView on X
  • Sep 3, 20266.2x their median

    PRELIMINAR Hora Local: 2026/09/03 02:04:04, mag: 5.2, Lat: -29.77, Lon: -71.41, Prof: 61.38, Loc: 21.31 km al NO de La Serena

    1374514935K viewsView on X
  • Sep 25, 20265.8x their median

    PRELIMINAR Hora Local: 2026/09/25 12:29:07, mag: 5.3, Lat: -34.05, Lon: -72.2, Prof: 24.72, Loc: 35.69 km al O de Navidad

    1106115532K viewsView on X
  • Sep 29, 20265.5x their median

    PRELIMINAR Hora Local: 2026/09/29 01:02:46, mag: 4.2, Lat: -32.81, Lon: -71.5, Prof: 57.68, Loc: 4.61 km al SE de Quintero

    132385693K viewsView on X
  • Aug 30, 20264.5x their median

    PRELIMINAR Hora Local: 2026/08/30 01:19:51, mag: 5.3, Lat: -22.22, Lon: -70.44, Prof: 57.27, Loc: 28.28 km al SO de Tocopilla

    1123701197K viewsView on X
  • Sep 3, 20264.4x their median

    PRELIMINAR Hora Local: 2026/09/03 17:18:16, mag: 5.1, Lat: -31.59, Lon: -71.55, Prof: 105.86, Loc: 23.03 km al SO de Canela Baja

    103315581K viewsView on X
  • Aug 16, 20263.3x their median

    Hora Local: 2026/08/16 13:14:10, mag: 4.0, Lat: -32.81, Lon: -72.04, Prof: 23.66, Loc : 48.27 km al NO de Valparaíso

    81250367K 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 33 interactions against 1.3M followers, an engagement rate of 0.003%. Measured over 195 original posts, its engagement rate beats 18% 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 23K times each, and 0.141% of those impressions turn into an interaction. That is about 1.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 21:00 UTC, and Sunday is the busiest day of the week. The account's strongest tracked post pulled 497 interactions, about 15x its own typical post.

What is Sismología UdeChile's engagement rate on X?
Sismología UdeChile (@Sismos_CSN) has an engagement rate of 0.003%, based on the median interactions across 195 original posts from the last 30 days against 1,302,673 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Sismología UdeChile sits below the 10th percentile of the 204,491 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 @Sismos_CSN have real engagement?
Its engagement rate beats 18% 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 @Sismos_CSN post?
Most posts go out around 21:00 UTC, and Sunday is its busiest day, at roughly 6.5 posts per day across the measured window.

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