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Marie Bunny 🐰 engagement report

@bunnie_wifey - 1.9M followers on X

Measured over 29 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Top 10% for its size
Per follower
0.282%
of 1.9M followers
Per impression
5.13%
102K views on a typical post
Reach
5.50%
of its followers see a post
Typical post
5.3K
interactions (median)
Saved
0.547%
561 bookmarks on a typical post
Posting rate
1/day
active 97% of days
Peak time
20:00 UTC
Sunday

A typical post picks up 5.3K interactions against 1.9M followers, an engagement rate of 0.282%. Measured over 29 original posts, its engagement rate beats 95% of 3,758 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 102K times each, and 5.13% of those impressions turn into an interaction. That is about 5.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 20:00 UTC, and Sunday is the busiest day of the week. Of the 29 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 48K interactions, about 9.2x its own typical post.

Measured over 29 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

Marie Bunny 🐰's engagement rate beats 95% of the tracked X accounts closest to it in follower count (3,758 accounts, accounts of similar size (decile 10 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 96% 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 0.282%, Marie Bunny 🐰 sits above the 50th percentile of the 36,378 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.432%.

p100.002%
p250.012%
p50 (median)0.08%
p750.432%
p902.10%
p99161.0%
Engagement rate as a share of followers, across the 36,378 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,364 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 percentile0.432%
90th percentile2.10%
99th percentile161.0%

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 20:00 UTC, and Sunday 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 20:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 23, 20269.2x their median

    Can I take care of you? https://t.co/hVDTu3XAoA

    47K1.2K59517571K viewsView on X
  • Jun 23, 20269.0x their median

    Yes or nah? https://t.co/qqAnxHo1Gf

    45K9671.4K15879K viewsView on X
  • Jun 25, 20267.2x their median

    Are you here? Yes or no? https://t.co/SpkeGUdgGc

    36K7407218505K viewsView on X
  • Jul 31, 20267.2x their median

    Oops surprise I guess https://t.co/loridUpYoi

    36K8961.2K11850K viewsView on X
  • Aug 2, 20264.3x their median

    So… welcome to tavern, traveler https://t.co/c8l6TH99gE

    21K5826895506K viewsView on X
  • Aug 7, 20264.0x their median

    Oops got you hehe https://t.co/lW9g0plZKL

    20K5043484406K viewsView on X
  • Jul 12, 20263.9x their median

    Left or right? πŸ₯Ί https://t.co/oAOpBEFjh7

    20K5144266302K viewsView on X
  • Aug 10, 20263.7x their median

    Can’t wait for Halloween? https://t.co/4qO0A4z2e2

    19K3903671327K viewsView on X
  • Jun 28, 20263.7x their median

    Tell me what you think? πŸ₯Ί https://t.co/JyaPMQHbeD

    18K3436123271K viewsView on X
  • Jul 16, 20263.2x their median

    Did you notice it too? πŸ‘€ https://t.co/6beu938L9R

    16K3962752223K 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 5.3K interactions against 1.9M followers, an engagement rate of 0.282%. Measured over 29 original posts, its engagement rate beats 95% of 3,758 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 102K times each, and 5.13% of those impressions turn into an interaction. That is about 5.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 20:00 UTC, and Sunday is the busiest day of the week. Of the 29 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 48K interactions, about 9.2x its own typical post.

What is Marie Bunny 🐰's engagement rate on X?
Marie Bunny 🐰 (@bunnie_wifey) has an engagement rate of 0.282%, based on the median interactions across 29 original posts from the last 30 days against 1,863,986 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.282%, Marie Bunny 🐰 sits above the 50th percentile of the 36,378 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 @bunnie_wifey have real engagement?
Its engagement rate beats 95% of the tracked X accounts closest to it in follower count (3,758 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 @bunnie_wifey post?
Most posts go out around 20:00 UTC, and Sunday is its busiest day, at roughly 1 posts per day across the measured window.

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