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Jazmen engagement report

@jazmen000 - 387K followers on X

Measured over 16 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Top 10% for its size
Per follower
1.10%
of 387K followers
Per impression
5.81%
73K views on a typical post
Reach
18.9%
of its followers see a post
Typical post
4.2K
interactions (median)
Saved
1.52%
1.1K bookmarks on a typical post
Posting rate
1.3/day
active 53% of days
Peak time
03:00 UTC
Monday

A typical post picks up 4.2K interactions against 387K followers, an engagement rate of 1.10%. Measured over 16 original posts, its engagement rate beats 95% of 4,124 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 73K times each, and 5.81% of those impressions turn into an interaction. That is about 18.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 16 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 11K interactions, about 2.5x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Jazmen's engagement rate beats 95% of the tracked X accounts closest to it in follower count (4,124 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 93% 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 1.10%, Jazmen sits above the 75th percentile of the 39,924 accounts in this comparison. That places it in the top 25% band, which runs 0.441% to 2.08%.

p100.002%
p250.013%
p50 (median)0.082%
p750.441%
p902.08%
p99149.1%
Engagement rate as a share of followers, across the 39,924 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 93,203 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 percentile0.013%
50th percentile0.082%
75th percentile0.441%
90th percentile2.08%
99th percentile149.1%

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 03:00 UTC, and Monday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 03:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%56K
01:00 UTC-2%57K
02:00 UTC-3%55K
03:00 UTC-4%59K
04:00 UTC-6%47K
05:00 UTC-4%46K
06:00 UTC-4%53K
07:00 UTC-5%57K
08:00 UTC-4%66K
09:00 UTC-4%77K
10:00 UTC-3%79K
11:00 UTC-3%86K
12:00 UTC-2%95K
13:00 UTC-2%103K
14:00 UTC-3%106K
15:00 UTC-2%110K
16:00 UTC-3%107K
17:00 UTC-2%99K
18:00 UTC-2%92K
19:00 UTC-2%87K
20:00 UTC-1%82K
21:00 UTC-1%73K
22:00 UTC-1%63K
23:00 UTC-1%56K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%247K
Monday+1%316K
Tuesday-3%332K
Wednesday-3%282K
Thursday-2%257K
Friday-3%268K
Saturday+3%241K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 25, 20262.5x their median

    Letting my tits out on a walk https://t.co/dTKYRZO5RI

    10K504162119K viewsView on X
  • Aug 17, 20262.3x their median

    Pool day https://t.co/CN7CfW9EqD

    9.3K524330115K viewsView on X
  • Aug 30, 20261.5x their median

    Shower with me https://t.co/iS9HMJSEGs

    6.1K28734060K viewsView on X
  • Aug 7, 2026

    New titty fuck dropping on OF/fansly this week 😈 https://t.co/0VQsUC3QBA

    6.0K290161179K viewsView on X
  • Aug 12, 2026

    Goon material https://t.co/XU6UrmCaNT

    5.9K318131124K viewsView on X
  • Aug 22, 2026

    Fake tits don’t hang like this https://t.co/pBSrGkrSmH

    5.7K313301101K viewsView on X
  • Jul 31, 2026

    🩡🩡 https://t.co/HLiQuZsOeQ

    5.0K16919180K viewsView on X
  • Aug 22, 2026

    5’1 with a big booty https://t.co/fn5F9S2u5a

    4.2K17427075K viewsView on X
  • Aug 24, 2026

    Pool titty fuck 😈 https://t.co/14slQsA84l

    4.2K1839191K viewsView on X
  • Aug 4, 2026

    https://t.co/f7nGCuORK3

    4.0K15210270K 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 4.2K interactions against 387K followers, an engagement rate of 1.10%. Measured over 16 original posts, its engagement rate beats 95% of 4,124 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 73K times each, and 5.81% of those impressions turn into an interaction. That is about 18.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 16 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 11K interactions, about 2.5x its own typical post.

What is Jazmen's engagement rate on X?
Jazmen (@jazmen000) has an engagement rate of 1.10%, based on the median interactions across 16 original posts from the last 30 days against 387,194 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.10%, Jazmen sits above the 75th percentile of the 39,924 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 @jazmen000 have real engagement?
Its engagement rate beats 95% of the tracked X accounts closest to it in follower count (4,124 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 @jazmen000 post?
Most posts go out around 03:00 UTC, and Monday is its busiest day, at roughly 1.3 posts per day across the measured window.

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