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๐•ญ๐–š๐–‡๐–‡๐–‘๐–Š๐–‡๐–š๐–˜๐–˜๐–†1 ๐Ÿ engagement report

@bubblebussa1 - 92K followers on X

Measured over 36 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Bottom quarter for its size
Per follower
0.01%
of 92K followers
Per impression
0.367%
2.6K views on a typical post
Reach
2.83%
of its followers see a post
Typical post
10
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.17/day
active 60% of days
Peak time
02:00 UTC
Tuesday

A typical post picks up 10 interactions against 92K followers, an engagement rate of 0.01%. Measured over 36 original posts, its engagement rate beats 18% of 3,829 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 2.6K times each, and 0.367% of those impressions turn into an interaction. That is about 2.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 36 posts sampled, 19% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 1999x its own typical post. Recurring topics include #baddiesusa, #bigolive, #bigorecap.

Measured over 36 original posts from a 30-day window, last computed on August 27, 2026. Recurring tags: #baddiesusa, #bigolive, #bigorecap.

Compared with accounts its own size

๐•ญ๐–š๐–‡๐–‡๐–‘๐–Š๐–‡๐–š๐–˜๐–˜๐–†1 ๐Ÿ's engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,829 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 21% 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 0.01%, ๐•ญ๐–š๐–‡๐–‡๐–‘๐–Š๐–‡๐–š๐–˜๐–˜๐–†1 ๐Ÿ sits above the 10th percentile of the 37,037 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.8%
Engagement rate as a share of followers, across the 37,037 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,893 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.8%

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 02:00 UTC, and Tuesday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 02:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%73K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%102K
16:00 UTC-3%99K
17:00 UTC-2%92K
18:00 UTC-1%85K
19:00 UTC-2%80K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-2%58K
23:00 UTC-1%52K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%233K
Monday0%292K
Tuesday-3%284K
Wednesday-1%253K
Thursday-2%246K
Friday-3%255K
Saturday+3%229K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 25, 20261999x their median

    He left really fast soon as he found out sheโ€™s trans ๐Ÿ˜ญ https://t.co/rQJjskcqdF

    19K86630270535K viewsView on X
  • Aug 19, 20261162x their median

    you still single because u go straight home after work๐Ÿ˜‚

    9.8K717421693616K viewsView on X
  • Aug 22, 2026442x their median

    First.... it was her pretending to love chanel bags now all of a sudden she likes carrying her bag to perform on stage can she be original for once??? https://t.co/6h29x0fodF

    3.8K20429791436K viewsView on X
  • Aug 25, 2026389x their median

    Lemmy with a few words following Tesehki and Mariah Lynn being announced as part of the cast for Now Thatโ€™s TVโ€™s new show โ€œGirls will be Girlsโ€โ€ฆ๐Ÿ‘€ #BaddiesUSA https://t.co/fCRwFS8Lm2

    3.3K137301127345K viewsView on X
  • Aug 20, 2026370x their median

    Why are you so quite, What's on your mind? https://t.co/nRR7UgR7Z3

    3.3K335123054K viewsView on X
  • Aug 3, 2026261x their median

    Red Bullยฎ and McDโ€™s galaxies have officially collided

    2.2K1741247217M viewsView on X
  • Jul 15, 202570x their median

    https://t.co/RUCm6c6hb3

    6572418457K viewsView on X
  • Aug 20, 202620x their median

    โ–ถ๏ธ https://t.co/rzVLI6QAyZ

    18614203.1K viewsView on X
  • Aug 10, 20266.0x their median

    ๐Ÿ˜ด https://t.co/2npaAS4h7q

    561124.1K viewsView on X
  • Aug 19, 20263.3x their median

    Making your dude nut before be head to work WILL NOT keep him from cheating on you ๐Ÿคฃ

    284102.3K 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

#baddiesusa#bigolive#bigorecap#bigousa#dl

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 10 interactions against 92K followers, an engagement rate of 0.01%. Measured over 36 original posts, its engagement rate beats 18% of 3,829 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 2.6K times each, and 0.367% of those impressions turn into an interaction. That is about 2.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 36 posts sampled, 19% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 1999x its own typical post. Recurring topics include #baddiesusa, #bigolive, #bigorecap.

What is ๐•ญ๐–š๐–‡๐–‡๐–‘๐–Š๐–‡๐–š๐–˜๐–˜๐–†1 ๐Ÿ's engagement rate on X?
๐•ญ๐–š๐–‡๐–‡๐–‘๐–Š๐–‡๐–š๐–˜๐–˜๐–†1 ๐Ÿ (@bubblebussa1) has an engagement rate of 0.01%, based on the median interactions across 36 original posts from the last 30 days against 91,605 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, ๐•ญ๐–š๐–‡๐–‡๐–‘๐–Š๐–‡๐–š๐–˜๐–˜๐–†1 ๐Ÿ sits above the 10th percentile of the 37,037 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 @bubblebussa1 have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,829 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 @bubblebussa1 post?
Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 2.17 posts per day across the measured window.

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