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Mike&Ashley311 engagement report

@Monroegrow - 58K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Per follower
0.641%
of 58K followers
Per impression
3.34%
11K views on a typical post
Reach
19.2%
of its followers see a post
Typical post
373
interactions (median)
Saved
0.152%
17 bookmarks on a typical post
Posting rate
0.17/day
active 10% of days
Peak time
13:00 UTC
Saturday

Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 373 interactions against 58K followers, an engagement rate of 0.641%. Posts are seen about 11K times each, and 3.34% of those impressions turn into an interaction. That is about 19.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Saturday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video, 33% are part of a thread and 33% link out. The account's strongest tracked post pulled 2.7K interactions, about 7.3x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 3 original posts from a 30-day window, last computed on October 4, 2026.

Where this sits in the catalog

At 0.641%, Mike&Ashley311 sits above the 50th percentile of the 218,501 accounts in this comparison. That places it in the above the median band, which runs 0.149% to 0.705%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,501 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,721 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 percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 13:00 UTC, and Saturday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video100% of posts+111%+108% to +115%34K
Outbound link33% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% 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.
  • 33% 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 107 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

  • Jan 3, 20257.3x their median

    Bored and home alone today! Cum keep me company on @SextPanther https://t.co/EAunNZzMQ2 https://t.co/1OhF0tbP1L

    2.4K1711065494K viewsView on X
  • Jul 31, 20246.4x their median

    We get so turned on making porn for yall to enjoy! We’re looking for our next collaborator(s) who’s joining in for Mikes birthday orgy the 23rd??? ! @Hungrynaughty Thanks for the artwork!🤘🏽 https://t.co/QkhG7OMNlg

    1.8K5674210455K viewsView on X
  • Jul 25, 20246.2x their median

    Always looking for fun couples to play with!! @Hungrynaughty https://t.co/daaEFcJbsG

    1.8K4783213433K viewsView on X
  • Aug 8, 20244.9x their median

    Sometimes balloons are used for celebrations and sometimes clitoral stimulation! This is one of those times 🥵 https://t.co/6jtTglIOCD

    1.6K221272199K viewsView on X
  • Apr 12, 20264.9x their median

    Daddy keeps buying me such wonderful toys! https://t.co/bVyMG1Vg8F

    1.7K7620065K viewsView on X
  • Sep 22, 20244.8x their median

    Couples that play together stay together! Finally snuck a camera into our favorite adult theater!! Share what naughty fun you got into today! And let us know if you’d like the full video. https://t.co/XMHmB0aRe1

    1.6K162622204K viewsView on X
  • May 19, 20254.7x their median

    No better weekend entertainment than watching Ashley ride another man’s cock! Who’s next?? https://t.co/SPhWNd4mgF

    1.5K170454151K viewsView on X
  • Aug 25, 20244.5x their median

    Sexy Saturday started off right! I love a good shiny ass and tits! So let’s see what ya got 😈😉🥵 I want to see how everyone’s Saturday is going! #SexySaturday #milf https://t.co/jRxK5yBjMU

    1.5K142463204K viewsView on X
  • Jul 24, 20244.4x their median

    Nothing better than getting fucked in front of an open window by Mike!! I’m such a naughty girl😈 https://t.co/Kgu3hVLmrH

    1.4K157346164K viewsView on X
  • Jan 30, 20254.1x their median

    Trying to figure out which pair of @SwampCompany panties to wear. My husband drools over them! https://t.co/TIv5KUn46W

    1.4K109456100K 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 373 interactions against 58K followers, an engagement rate of 0.641%. Posts are seen about 11K times each, and 3.34% of those impressions turn into an interaction. That is about 19.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Saturday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video, 33% are part of a thread and 33% link out. The account's strongest tracked post pulled 2.7K interactions, about 7.3x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Mike&Ashley311's engagement rate on X?
Mike&Ashley311 (@Monroegrow) has an engagement rate of 0.641%, based on the median interactions across 3 original posts from the last 30 days against 57,911 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.641%, Mike&Ashley311 sits above the 50th percentile of the 218,501 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 @Monroegrow have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Monroegrow post?
Most posts go out around 13:00 UTC, and Saturday is its busiest day, at roughly 0.17 posts per day across the measured window.

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