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πŸ¦‘ Alex Coal ♀️ engagement report

@AlexxxCoal - 420K followers on X

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

Engagement

Bottom quarter for its size
Per follower
0.004%
of 420K followers
Per impression
1.55%
1.0K views on a typical post
Reach
0.25%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.097%
1 bookmarks on a typical post
Posting rate
1.5/day
active 10% of days
Peak time
16:00 UTC
Sunday

A typical post picks up 16 interactions against 420K followers, an engagement rate of 0.004%. Measured over 11 original posts, its engagement rate beats 19% of 3,882 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 1.0K times each, and 1.55% of those impressions turn into an interaction. That is about 0.246% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 27% carry an image or video and 27% link out. The account's strongest tracked post pulled 98K interactions, about 6132x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on August 30, 2026. Recurring tag: #lindsayclancy.

Compared with accounts its own size

πŸ¦‘ Alex Coal ♀️'s engagement rate beats 19% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 7 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 63% 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%, πŸ¦‘ Alex Coal ♀️ sits above the 10th percentile of the 37,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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 5%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 30, 20266132x their median

    Kick streamer Gtwist was allegedly assaulted by his dad during a livestream, leaving him in tears This is the clip from shortly before the VOD was deleted and the stream ended😳 https://t.co/bAfAQD95fv

    90K3.4K3.5K1.5K12M viewsView on X
  • Aug 28, 20263000x their median

    🚨 BREAKING: Elon Musk’s Grok AI is being sued for using real child p*rnography in its training data. https://t.co/YgsDxut8G2

    41K5.4K6649922.7M viewsView on X
  • Aug 29, 202694x their median

    Who knows Tyler? Come bet your boy. https://t.co/rCNuijySGk

    1.3K19237746K viewsView on X
  • Aug 30, 202667x their median

    A federal judge approved the $72.5 million settlement between Jeffrey Epstein's victims and Bank of America, the third financial institution to publicly reach such a settlement. https://t.co/78TGwIxjTn

    6673403624193K viewsView on X
  • Jan 7, 202641x their median

    We must share information and bring to light injustice while maintaining revolutionary optimism. Giving into despair is not the way to progress, neither is burying our heads in the sand. Life isn't like a movie where once a conflict is resolved everyone lives happily ever after. The fight will never end because there will always be predatory individuals trying to take advantage of good people. There will also always be good people to stand in their way. We have to be those good people and fiercely support them when we cannot be them.

    54474322607K viewsView on X
  • Aug 30, 2026

    The Chris Watts Case (2018): Chris Watts murdered his pregnant wife and two young daughters (aged 3 and 4) in Colorado. While the overwhelming public reaction was revulsion, the case spawned a massive, deeply toxic true-crime subculture. Watts has consistently received an influx of financial support sent directly to his prison commissary, along with highly publicized love letters and advocacy from an active network of outside supporters. Many within true-crime forums and fringe male groups attempted to deflect blame away from Watts, framing him as a "victim" of financial stress or his wife's personality.

    142101.0K viewsView on X
  • Aug 30, 2026

    The David "Dj" Creato Jr. Case (2015): In New Jersey, David Creato murdered his 3-year-old son, Brandon, because his younger girlfriend did not want children and threatened to leave him. During the trial and investigation, Creato was backed heavily by local male peers and familial networks who sought to downplay the severity of the situation. Pockets of online commentators actively defended him by framing the homicide as an tragic accidental death or the consequence of a young father trying to balance a difficult relationship, heavily shifting blame onto the women in his life.

    13300904 viewsView on X
  • Aug 30, 2026

    The Michael Valva Case (2020): Michael Valva, a former New York City police officer, was convicted of the murder of his 8-year-old autistic son, Thomas, who was forced to sleep in a freezing garage and died of hypothermia. Despite years of documented abuse reported by the boy's mother and school officials, Valva received extensive protective backing from a network of male peers in law enforcement who actively helped shield him from child protective services investigations. Furthermore, online forums and fringe elements tried to minimize his actions by framing him as a stressed father caught up in a toxic custody battle.

    111001.0K viewsView on X
  • Aug 30, 2026

    The Christian Longo Case (2001): Christian Longo murdered his wife and three young children in Oregon, then fled to Mexico. Before and during his highly publicized trial, Longo was able to rely on financial support and housing from various male associates and employers who initially overlooked his history of check fraud and erratic behavior. After his conviction, he received continuous financial contributions to his prison commissary and legal defense fund from outside supporters.

    111001.1K viewsView on X
  • Aug 30, 2026

    The Marcus Wesson Case (2004): Marcus Wesson orchestrated the murder of nine of his children in Fresno, California. As a cult-like patriarch, Wesson was financially supported entirely by a network of his adult sons and male followers. Even during his trial, certain male loyalists within his inner circle attempted to raise money and shield him from accountability, defending his absolute authority over the family.

    81001.0K 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.

Recurring topics

#lindsayclancy

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 16 interactions against 420K followers, an engagement rate of 0.004%. Measured over 11 original posts, its engagement rate beats 19% of 3,882 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 1.0K times each, and 1.55% of those impressions turn into an interaction. That is about 0.246% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 27% carry an image or video and 27% link out. The account's strongest tracked post pulled 98K interactions, about 6132x its own typical post.

What is πŸ¦‘ Alex Coal ♀️'s engagement rate on X?
πŸ¦‘ Alex Coal ♀️ (@AlexxxCoal) has an engagement rate of 0.004%, based on the median interactions across 11 original posts from the last 30 days against 419,590 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, πŸ¦‘ Alex Coal ♀️ sits above the 10th percentile of the 37,582 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 @AlexxxCoal have real engagement?
Its engagement rate beats 19% of the tracked X accounts closest to it in follower count (3,882 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 @AlexxxCoal post?
Most posts go out around 16:00 UTC, and Sunday is its busiest day, at roughly 1.5 posts per day across the measured window.

Keep going

πŸ¦‘ Alex Coal ♀️ (@AlexxxCoal) Engagement Rate - 0.004% | PlayerSells