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Elías engagement report

@Eliasrael97 - 999 followers on X

Measured over 33 original posts from a 30-day window, last computed on August 21, 2026.

Engagement

Top 10% for its size
Per follower
1832.6%
of 999 followers
Per impression
2.98%
615K views on a typical post
Reach
61513.4%
of its followers see a post
Typical post
18K
interactions (median)
Saved
0.109%
672 bookmarks on a typical post
Posting rate
3.17/day
active 57% of days
Peak time
01:00 UTC
Thursday

A typical post picks up 18K interactions against 999 followers, an engagement rate of 1832.6%. Measured over 33 original posts, its engagement rate beats 99% of 1,224 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 615K times each, and 2.98% of those impressions turn into an interaction. That is about 61513.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 33 posts sampled, 70% carry an image or video. The account's strongest tracked post pulled 154K interactions, about 8.4x its own typical post.

Measured over 33 original posts from a 30-day window, last computed on August 21, 2026.

Compared with accounts its own size

Elías's engagement rate beats 99% of the tracked X accounts closest to it in follower count (1,224 accounts, accounts of similar size (decile 1 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 60% 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 1832.6%, Elías sits above the 99th percentile of the 13,919 accounts in this comparison. That places it in the top 1% band, which runs 269.2% and above.

p100.001%
p250.008%
p50 (median)0.055%
p750.355%
p902.37%
p99269.2%
Engagement rate as a share of followers, across the 13,919 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 269,226 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 percentile0.001%
25th percentile0.008%
50th percentile0.055%
75th percentile0.355%
90th percentile2.37%
99th percentile269.2%

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 01:00 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 94%Busiest hour: 01:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%18K
01:00 UTC+1%18K
02:00 UTC-1%18K
03:00 UTC-4%18K
04:00 UTC-7%15K
05:00 UTC-6%14K
06:00 UTC-6%16K
07:00 UTC-6%17K
08:00 UTC-6%20K
09:00 UTC-3%23K
10:00 UTC-2%25K
11:00 UTC-2%26K
12:00 UTC0%29K
13:00 UTC0%33K
14:00 UTC-2%34K
15:00 UTC-1%36K
16:00 UTC-1%35K
17:00 UTC-1%33K
18:00 UTC+1%30K
19:00 UTC+1%28K
20:00 UTC-1%26K
21:00 UTC+1%23K
22:00 UTC+1%20K
23:00 UTC0%18K
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 94%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%85K
Monday+2%88K
Tuesday+1%102K
Wednesday-3%87K
Thursday-1%82K
Friday-4%89K
Saturday+4%83K
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 video70% of posts+83%+77% to +89%7.0K
Outbound link0% of posts-48%-50% to -47%7.2K
Typical length--5%-7% to -4%11K
  • 70% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 83% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 48% below the same accounts' other posts.
  • Its average post runs 121 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 5% 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 5, 20268.4x their median

    Robert Pattinson as pedophile hunter Chris Hansen in ‘PRIMETIME’. Trailer releases tomorrow. https://t.co/pBwKE3OiwM

    142K7.3K1.2K2.8K17M viewsView on X
  • Aug 17, 20266.4x their median

    sem população = sem caso de dengue https://t.co/ISkwQzWFc5

    106K10K6267271.5M viewsView on X
  • Aug 12, 20264.4x their median

    yo de novia amor estoy esperando el bondi amor no viene mas el bondi amor ya vino el bondi amor ya me subi al bondi amor esta re lleno el bondi amor va re lento el bondi amor ya me baje del bondi

    66K13K786431.9M viewsView on X
  • Aug 6, 20263.9x their median

    https://t.co/DUcsfFXuFS

    70K2.1K1053462.3M viewsView on X
  • Aug 11, 20262.7x their median

    Siempre que veo este video me destruye de la risa, de DONDE SALE ESE FISURA AMIGO llovió de las nubes https://t.co/Q6Bmyw76wl

    47K2.9K7977615K viewsView on X
  • Aug 10, 20262.5x their median

    La mayor ridiculización de toda la historia a una comunista. En pleno directo. La destrozó; jamás se ha visto mayor ni semejante humillación pública Brutal https://t.co/2RMJCKx8A5

    40K5.9K2061611.1M viewsView on X
  • Aug 19, 20262.5x their median

    Pep genuinely wasn’t normal. https://t.co/Jh7k0I7eMx

    41K3.1K2255272.4M viewsView on X
  • Aug 12, 20262.3x their median

    y tu novio?? esta yendo a una batalla de aura con los amigos no pasa nada

    40K2.5K2380384K viewsView on X
  • Aug 17, 20261.9x their median

    JAJASKJAFA ES LA MEJOR PATADA VOLADORA QUE VI EN MI VIDA. EL FÚTBOL BRASILEÑO ES LO MÁS GRANDE QUE HAY. https://t.co/5Do1uoOl1f

    32K1.8K10988922K viewsView on X
  • Aug 5, 20261.8x their median

    https://t.co/XjiVEvTI1h

    28K3.4K865413.7M 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 18K interactions against 999 followers, an engagement rate of 1832.6%. Measured over 33 original posts, its engagement rate beats 99% of 1,224 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 615K times each, and 2.98% of those impressions turn into an interaction. That is about 61513.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 33 posts sampled, 70% carry an image or video. The account's strongest tracked post pulled 154K interactions, about 8.4x its own typical post.

What is Elías's engagement rate on X?
Elías (@Eliasrael97) has an engagement rate of 1832.6%, based on the median interactions across 33 original posts from the last 30 days against 999 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1832.6%, Elías sits above the 99th percentile of the 13,919 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 @Eliasrael97 have real engagement?
Its engagement rate beats 99% of the tracked X accounts closest to it in follower count (1,224 accounts), which puts it in the top 10% 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 @Eliasrael97 post?
Most posts go out around 01:00 UTC, and Thursday is its busiest day, at roughly 3.17 posts per day across the measured window.

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