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Lady Dina engagement report

@LadyDina16 - 94K followers on X

Measured over 14 original posts from a 30-day window, last computed on August 25, 2026.

Engagement

Bottom quarter for its size
Per follower
0.018%
of 94K followers
Per impression
0.207%
8.2K views on a typical post
Reach
8.74%
of its followers see a post
Typical post
17
interactions (median)
Saved
0.012%
1 bookmarks on a typical post
Posting rate
0.47/day
active 43% of days
Peak time
05:00 UTC
Monday

A typical post picks up 17 interactions against 94K followers, an engagement rate of 0.018%. Measured over 14 original posts, its engagement rate beats 25% 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 8.2K times each, and 0.207% of those impressions turn into an interaction. That is about 8.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 100% link out. The account's strongest tracked post pulled 24 interactions.

Measured over 14 original posts from a 30-day window, last computed on August 25, 2026.

Compared with accounts its own size

Lady Dina's engagement rate beats 25% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 5 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 13% 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 0.018%, Lady Dina sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 05:00 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: 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%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 7, 2026

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    182409.1K viewsView on X
  • Jul 9, 2026

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    1913013K viewsView on X
  • Jun 22, 2026

    Some sexy pics from outside https://t.co/m5pgGiD7da

    2002014K viewsView on X
  • Jun 11, 2026

    Amazing outfit https://t.co/m5pgGiD7da

    1912012K viewsView on X
  • Jun 19, 2026

    Are you horny in this morning πŸ₯΅πŸ₯΅πŸ’¦πŸ’¦πŸ’¦, I need you I need your πŸ‘… and your πŸ† https://t.co/m5pgGiD7da

    1722012K viewsView on X
  • Aug 9, 2026

    You agree with me it’s best to do topples on the beach ? https://t.co/m5pgGiD7da

    161308.4K viewsView on X
  • Jun 17, 2026

    πŸ“ŒπŸ“ŒπŸ“ŒπŸ“ŒIf you want your name on my big boobs write with lipstick write in privat !... https://t.co/m5pgGiD7da

    1811013K viewsView on X
  • Aug 12, 2026

    Good morning hot boy 😘 https://t.co/m5pgGiD7da

    180108.0K viewsView on X
  • Aug 5, 2026

    Rate my outfit 😘 https://t.co/m5pgGiD7da

    162109.7K viewsView on X
  • Jul 15, 2026

    Today black πŸ–€ https://t.co/m5pgGiD7da

    1702013K 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 17 interactions against 94K followers, an engagement rate of 0.018%. Measured over 14 original posts, its engagement rate beats 25% 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 8.2K times each, and 0.207% of those impressions turn into an interaction. That is about 8.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 100% link out. The account's strongest tracked post pulled 24 interactions.

What is Lady Dina's engagement rate on X?
Lady Dina (@LadyDina16) has an engagement rate of 0.018%, based on the median interactions across 14 original posts from the last 30 days against 94,096 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, Lady Dina sits above the 25th 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 @LadyDina16 have real engagement?
Its engagement rate beats 25% 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 @LadyDina16 post?
Most posts go out around 05:00 UTC, and Monday is its busiest day, at roughly 0.47 posts per day across the measured window.

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