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sloane (sîpihkopiyesîs) 🇵🇸🇨🇩🇸🇩 engagement report

@cottoncandaddy - 123K followers on X

Measured over 1 original post from a 30-day window, last computed on October 4, 2026.

Engagement

Per follower
7.13%
of 123K followers
Per impression
20.1%
44K views on a typical post
Reach
35.5%
of its followers see a post
Typical post
8.8K
interactions (median)
Saved
0.165%
72 bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
12:00 UTC
Wednesday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 8.8K interactions against 123K followers, an engagement rate of 7.13%. Posts are seen about 44K times each, and 20.1% of those impressions turn into an interaction. That is about 35.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. The account's strongest tracked post pulled 288K interactions, about 33x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on October 4, 2026.

Where this sits in the catalog

At 7.13%, sloane (sîpihkopiyesîs) 🇵🇸🇨🇩🇸🇩 sits above the 90th percentile of the 212,825 accounts in this comparison. That places it in the top 10% band, which runs 2.61% to 83.0%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,825 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.0%

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 12:00 UTC, and Wednesday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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-no effect-2% to -1%42K
  • 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 271 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

  • Apr 1, 202533x their median

    “april fools” so im a fool because you betrayed my trust? im a fool for holding what you say with complete sincerity? i’m not the fool, you are

    253K34K3201.4K9.7M viewsView on X
  • May 23, 202619x their median

    An automated A.I. WWE news channel on YouTube tries to pronounce "WWE" as a word and ends up going insane!🤣 https://t.co/wV7ZpXdCdh

    147K14K1.8K2.4K18M viewsView on X
  • Jun 9, 202510x their median

    After careful consideration, the City of Glendale has decided to end its agreement with U.S. Homeland Security/ICE to house federal immigration detainees. This local decision reflects our core values: public safety, transparency, and community trust. https://t.co/ELf4GSyWU2

    69K11K8.6K1.9K6.9M viewsView on X
  • May 13, 20259.7x their median

    I hate it here https://t.co/emguNEpMA7

    83K1.8K641211.2M viewsView on X
  • Aug 21, 20257.7x their median

    Remember when Stephen Miller spray-painted his bald head to go on national TV? That doesn't get talked about enough. https://t.co/1X7UCK1ILO

    59K6.1K1.5K4261.6M viewsView on X
  • May 14, 20265.2x their median

    The Monterey Bay Aquarium charges $295 for a family membership or $125 for a single adult. With an EBT card, entry is free — and up to four guests get in free every visit. There is a ZERO incentive for these people to ever get off Food Stamps. https://t.co/1U4CtZ8mfF

    35K6.7K2.5K1.1K12M viewsView on X
  • Aug 20, 2025

    new favourite predictive text https://t.co/8b8EMAPZhu

    9.4K218614107K viewsView on X
  • Sep 23, 2026

    I introduced my stepkid to the sims and for the first year-ish she just made sims and decorated houses but now she’s giving me updates like “I trapped vlad in a basement and I’m making him practice singing forever” and now I feel like the torch has officially been passed

    8.6K1754044K viewsView on X
  • Jul 3, 2025

    so for his entire six years on this earth we’ve been under the impression that our dog doesn’t like vegetables but we just learned he loves taiwanese mustard greens and cabbage, so he doesn’t hate vegetables he’s just Cultured

    8.3K13810670K viewsView on X
  • Jul 10, 2025

    Elon Musk announces Grok AI will be integrated into Tesla vehicles next week https://t.co/SEnFHNLCCa

    3.5K1103211.1K13M 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 8.8K interactions against 123K followers, an engagement rate of 7.13%. Posts are seen about 44K times each, and 20.1% of those impressions turn into an interaction. That is about 35.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. The account's strongest tracked post pulled 288K interactions, about 33x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is sloane (sîpihkopiyesîs) 🇵🇸🇨🇩🇸🇩's engagement rate on X?
sloane (sîpihkopiyesîs) 🇵🇸🇨🇩🇸🇩 (@cottoncandaddy) has an engagement rate of 7.13%, based on the median interactions across 1 original posts from the last 30 days against 122,673 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 7.13%, sloane (sîpihkopiyesîs) 🇵🇸🇨🇩🇸🇩 sits above the 90th percentile of the 212,825 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 @cottoncandaddy have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @cottoncandaddy post?
Most posts go out around 12:00 UTC, and Wednesday is its busiest day, at roughly 0.03 posts per day across the measured window.

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