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Basic Ass Michelle πŸ€·πŸ½β€β™€οΈ engagement report

@mmathis13 - 336K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Middle of its size range
Per follower
0.079%
of 336K followers
Per impression
2.30%
12K views on a typical post
Reach
3.46%
of its followers see a post
Typical post
267
interactions (median)
Saved
0.047%
6 bookmarks on a typical post
Posting rate
1.57/day
active 53% of days
Peak time
00:00 UTC
Sunday

A typical post picks up 267 interactions against 336K followers, an engagement rate of 0.079%. Measured over 18 original posts, its engagement rate beats 67% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 2.30% of those impressions turn into an interaction. That is about 3.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 00:00 UTC, and Sunday is the busiest day of the week. Of the 18 posts sampled, 50% carry an image or video and 17% are part of a thread. The account's strongest tracked post pulled 41K interactions, about 155x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on October 10, 2026.

Compared with accounts its own size

Basic Ass Michelle πŸ€·πŸ½β€β™€οΈ's engagement rate beats 67% of the tracked X accounts closest to it in follower count (20,444 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 71% 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 0.079%, Basic Ass Michelle πŸ€·πŸ½β€β™€οΈ sits above the 25th percentile of the 205,475 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 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 percentile0.678%
90th percentile2.55%
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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 50% 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 95 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Sep 1, 2026155x their median

    β€œit’s been a rough-ass week” β€” me, in the middle of Tuesday

    33K7.8K27169486K viewsView on X
  • Oct 3, 202658x their median

    Y’all parents used to go get furniture from stores and pay on it monthly for y’all bobble head asses to have something to sit and sleep on but yall criticizing people who split their rent to keep a roof over there head in the literal WORSE economy. Shut the fuck up on this app fr!

    13K2.7K65124229K viewsView on X
  • Dec 14, 202531x their median

    Company holiday party ready 😘 https://t.co/dYPfKyPsUh

    7.7K21124830254K viewsView on X
  • Sep 14, 202626x their median

    This is 34 πŸ₯°πŸ€­πŸ«ΆπŸΌπŸ«  https://t.co/WL6bm6oWrL

    6.6K13320816189K viewsView on X
  • Sep 2, 202616x their median

    If you drink eggnog you’d eat chitlins https://t.co/34noo46b7A

    1.9K6525021.3K348K viewsView on X
  • Sep 20, 202615x their median

    Yall friend tipsy πŸ˜‚πŸ« πŸ€­πŸ«ΆπŸΌ https://t.co/Vipo4flY4U

    3.8K8797735K viewsView on X
  • Jul 26, 202613x their median

    Anyways… auntie coming out her dungeon for a bit 🫢🏼 https://t.co/b7Ux0cU9DX

    3.2K9778641K viewsView on X
  • Sep 27, 202611x their median

    Orange and red look great on me actually 🀭 Heyyy falllllll πŸ‚πŸ https://t.co/hLrzg4e89K

    2.8K9350320K viewsView on X
  • Aug 23, 202611x their median

    I Wouldn't Dare Take My Roller Out In This Heat https://t.co/EDCbRu5jjH

    2.8K9424435K viewsView on X
  • Aug 23, 20269.9x their median

    Nikki: Baby… drinks Me:πŸƒπŸ½β€β™€οΈπŸƒπŸ½β€β™€οΈπŸƒπŸ½β€β™€οΈ https://t.co/WmzL6cp32A

    2.5K7839326K 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 267 interactions against 336K followers, an engagement rate of 0.079%. Measured over 18 original posts, its engagement rate beats 67% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 2.30% of those impressions turn into an interaction. That is about 3.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 00:00 UTC, and Sunday is the busiest day of the week. Of the 18 posts sampled, 50% carry an image or video and 17% are part of a thread. The account's strongest tracked post pulled 41K interactions, about 155x its own typical post.

What is Basic Ass Michelle πŸ€·πŸ½β€β™€οΈ's engagement rate on X?
Basic Ass Michelle πŸ€·πŸ½β€β™€οΈ (@mmathis13) has an engagement rate of 0.079%, based on the median interactions across 18 original posts from the last 30 days against 336,172 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.079%, Basic Ass Michelle πŸ€·πŸ½β€β™€οΈ sits above the 25th percentile of the 205,475 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 @mmathis13 have real engagement?
Its engagement rate beats 67% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @mmathis13 post?
Most posts go out around 00:00 UTC, and Sunday is its busiest day, at roughly 1.57 posts per day across the measured window.

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