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Jazmyne Day engagement report

@jazmynedayy - 211K followers on X

Measured over 4 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Per follower
0.474%
of 211K followers
Per impression
10.9%
9.2K views on a typical post
Reach
4.36%
of its followers see a post
Typical post
1.0K
interactions (median)
Saved
1.26%
116 bookmarks on a typical post
Posting rate
0.8/day
active 27% of days
Peak time
13:00 UTC
Wednesday

Early reading. We have captured 4 original posts 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 1.0K interactions against 211K followers, an engagement rate of 0.474%. Posts are seen about 9.2K times each, and 10.9% of those impressions turn into an interaction. That is about 4.37% 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 27% of days saw any activity at all. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 14K interactions, about 16x its own typical post. Recurring topics include #areolaslip, #bigboobs, #bimbo. Only 4 original posts 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 4 original posts from a 30-day window, last computed on October 5, 2026. Recurring tags: #areolaslip, #bigboobs, #bimbo.

Where this sits in the catalog

At 0.474%, Jazmyne Day sits above the 50th percentile of the 205,582 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.679%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.679%
90th percentile2.56%
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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 100% 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 67 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • Mar 20, 202316x their median

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    12K1.3K375232.3M viewsView on X
  • Sep 12, 20261.7x their median

    I really am just a huge pair of titties for you to play with ๐Ÿ˜ˆ https://t.co/YcYhr0RGMw

    1.5K11742116K viewsView on X
  • Aug 28, 2026

    Love being a Barbie doll ๐Ÿ’— https://t.co/AgJbAkDTQG

    1.2K9332013K viewsView on X
  • Aug 30, 2026

    What is the biggest difference between big naturals and huge breast implants? Huge natural boobs are beautiful, but huge fake boobs are completely slutty ๐Ÿ˜ˆ A totally normal reserved girl can be born with big naturals. She might not even want them. She may just want to have a normal life and hide themโ€ฆ but a girl who goes to a surgeon multiple times, pays tens of thousands of dollars for (potentially) life threatening procedures, all to get huge breasts is a bimbo. A fuckdoll. She wants to be objectified. She wants to be living porn. She wants to be seen as sex. Itโ€™s a deliberate choiceโ€ฆ That is the biggest difference between big fake tits and big natural boobs ๐Ÿ˜ˆ

    1.1K10651742K viewsView on X
  • Aug 28, 2026

    Happy National Big Boobs day! ๐Ÿ€๐Ÿ€ https://t.co/wGEeNgyqxJ

    1.1K9920223K viewsView on X
  • Aug 31, 2026

    Gym class is in sessionโ€ฆ https://t.co/D0fyuEz9Jy

    1.1K7622217K viewsView on X
  • Sep 9, 2026

    I love being an overinflated Barbie doll! https://t.co/23aVFCoTZA

    936852719.3K viewsView on X
  • Sep 8, 2026

    Popping out of my dress ๐Ÿ˜ณ https://t.co/ZLa2hc7M1N

    870621909.1K viewsView on X
  • Aug 25, 2026

    Supergirl is here! https://t.co/vTenQWd44g

    7886524011K viewsView on X
  • Sep 2, 2026

    Hey @sydney_sweeney these are 2,250ccโ€™sโ€ฆ in case you need a reference for your bimbofication journey ๐Ÿ˜‰ https://t.co/Zhnk6FNpwM

    7456725012K 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

#areolaslip#bigboobs#bimbo#jazmynedayy#ootd

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 1.0K interactions against 211K followers, an engagement rate of 0.474%. Posts are seen about 9.2K times each, and 10.9% of those impressions turn into an interaction. That is about 4.37% 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 27% of days saw any activity at all. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 14K interactions, about 16x its own typical post. Recurring topics include #areolaslip, #bigboobs, #bimbo. Only 4 original posts 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 Jazmyne Day's engagement rate on X?
Jazmyne Day (@jazmynedayy) has an engagement rate of 0.474%, based on the median interactions across 4 original posts from the last 30 days against 211,057 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.474%, Jazmyne Day sits above the 50th percentile of the 205,582 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 @jazmynedayy have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @jazmynedayy post?
Most posts go out around 13:00 UTC, and Wednesday is its busiest day, at roughly 0.8 posts per day across the measured window.

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