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agos engagement report

@agosramirezv - 999 followers on X

Measured over 11 original posts from a 30-day window, last computed on August 21, 2026.

Engagement

Top 10% for its size
Per follower
1898.4%
of 999 followers
Per impression
11.1%
171K views on a typical post
Reach
17068.1%
of its followers see a post
Typical post
19K
interactions (median)
Saved
0.191%
325 bookmarks on a typical post
Posting rate
0.8/day
active 30% of days
Peak time
15:00 UTC
Thursday

A typical post picks up 19K interactions against 999 followers, an engagement rate of 1898.4%. Measured over 11 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 171K times each, and 11.1% of those impressions turn into an interaction. That is about 17068.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 11 posts sampled, 36% carry an image or video. The account's strongest tracked post pulled 188K interactions, about 9.9x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on August 21, 2026.

Compared with accounts its own size

agos'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 94% 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 1898.4%, agos 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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 94%Busiest hour: 15:00 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 video36% 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
  • 36% 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 90 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

  • Jul 29, 20269.9x their median

    world cup ends and suddenly no one wants to drink on a wednesday we’re cooked

    173K14K1313422.7M viewsView on X
  • Jul 19, 20266.8x their median

    Sincerely one of the most gauche and disgusting things I've seen in a minute https://t.co/ecg3wAiSEF

    124K3.8K3909696.8M viewsView on X
  • Jul 30, 20266.7x their median

    "do you talk to your dad like that too" baby who do you think my first victim was

    108K19K1197041.5M viewsView on X
  • Jul 7, 20266.7x their median

    "Como vas a festejar el gol de otro país" Yo con el gol de argentina por que no quiero que la copa se vaya a otro continente: https://t.co/6j0LL3eC76

    120K5.8K1.1K2861.2M viewsView on X
  • Jul 30, 20266.6x their median

    cambiando la botella de agua de plástico a una de acero para dejar de ingerir microplásticos y empezar a consumir níquel plomo y arsénico

    114K9.5K1562651.1M viewsView on X
  • Jul 19, 20265.5x their median

    Estás en un fiestón y tu amigo el bohemio saca una guitarra, toca Lamento Boliviano. Tu amigo es Justin Bieber.

    92K12K91430935K viewsView on X
  • Jul 16, 20264.4x their median

    impresionante la cantidad d cuadras q puede caminar una persona q esta a punto d volverse completamente loca

    67K15K971.1K1.2M viewsView on X
  • Jul 15, 20263.2x their median

    paredes y bellingham están en un duelo mano a mano peleándose por cuál de los dos tiene más edits en tiktok

    56K5.6K25104458K viewsView on X
  • Jul 15, 20263.1x their median

    Cuando queres tocar madera para anular mufa pero todo es melamina

    54K5.8K56121617K viewsView on X
  • Jul 7, 20263.0x their median

    busco novio q se parezca a Bellingham

    44K12K80460588K 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 19K interactions against 999 followers, an engagement rate of 1898.4%. Measured over 11 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 171K times each, and 11.1% of those impressions turn into an interaction. That is about 17068.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 11 posts sampled, 36% carry an image or video. The account's strongest tracked post pulled 188K interactions, about 9.9x its own typical post.

What is agos's engagement rate on X?
agos (@agosramirezv) has an engagement rate of 1898.4%, based on the median interactions across 11 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 1898.4%, agos 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 @agosramirezv 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 @agosramirezv post?
Most posts go out around 15:00 UTC, and Thursday is its busiest day, at roughly 0.8 posts per day across the measured window.

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