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π™΄πš›πš’πšπšπšŠ engagement report

@erigganewmoney - 3.4M followers on X

Measured over 111 original posts from a 30-day window, last computed on August 23, 2026.

Engagement

Middle of its size range
Per follower
0.016%
of 3.4M followers
Per impression
1.76%
31K views on a typical post
Reach
0.93%
of its followers see a post
Typical post
554
interactions (median)
Saved
0.038%
12 bookmarks on a typical post
Posting rate
4.6/day
active 23% of days
Peak time
12:00 UTC
Sunday

A typical post picks up 554 interactions against 3.4M followers, an engagement rate of 0.016%. Measured over 111 original posts, its engagement rate beats 56% of 983 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 31K times each, and 1.76% of those impressions turn into an interaction. That is about 0.934% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.6 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 111 posts sampled, 16% carry an image or video. The account's strongest tracked post pulled 10K interactions, about 18x its own typical post.

Measured over 111 original posts from a 30-day window, last computed on August 23, 2026.

Compared with accounts its own size

π™΄πš›πš’πšπšπšŠ's engagement rate beats 56% of the tracked X accounts closest to it in follower count (983 accounts, accounts of similar size (decile 9 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 75% 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 0.016%, π™΄πš›πš’πšπšπšŠ sits above the 25th percentile of the 9,668 accounts in this comparison. That places it in the below the median band, which runs 0.006% to 0.046%.

p100.001%
p250.006%
p50 (median)0.046%
p750.318%
p902.67%
p99366.2%
Engagement rate as a share of followers, across the 9,668 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 457,772 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 percentile0.001%
25th percentile0.006%
50th percentile0.046%
75th percentile0.318%
90th percentile2.67%
99th percentile366.2%

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 12:00 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 97%Busiest hour: 12:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%14K
01:00 UTC+3%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-4%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%16K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%28K
15:00 UTC-1%30K
16:00 UTC-1%29K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%23K
20:00 UTC0%21K
21:00 UTC+1%19K
22:00 UTC+1%16K
23:00 UTC+1%15K
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 97%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+9%56K
Monday+8%72K
Tuesday+1%93K
Wednesday-4%77K
Thursday-3%70K
Friday-6%71K
Saturday+2%62K
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 video16% of posts+79%+73% to +84%5.7K
Outbound link0% of posts-49%-50% to -47%6.0K
Typical length--7%-8% to -5%8.9K
  • 16% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
  • Its average post runs 111 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 7% 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

  • Aug 17, 202618x their median

    As poor man dey think say Rich man do blood money na so Rich man dey think say Poor man na witch πŸ˜’ I like as everyone dey suspect each other......

    8.2K1.6K18476199K viewsView on X
  • Aug 17, 202611x their median

    As a man, lack of funds go make you look very stupid even if you get good ideas...

    5.0K84410954105K viewsView on X
  • Aug 18, 20269.2x their median

    Musicians will spend six months making a song and then feel guilty promoting it twice. Meanwhile Coca-Cola has been telling us Coke exists for 140 years. Post your fucking music. πŸ’―πŸ”₯ https://t.co/xav98Gu8Cq

    4.5K4617821100K viewsView on X
  • Aug 18, 20269.1x their median

    Weed isnt the problem. People who dont smoke weed are.οΏΌ

    4.3K60810234105K viewsView on X
  • Aug 17, 20268.9x their median

    I hope one day I will sleep before midnight like normal humans do. Everyday I sleep tomorrow, even yesterday I slept today.

    4.2K646902894K viewsView on X
  • Aug 16, 20268.1x their median

    A poor man can’t fake being rich for long, but a rich man can fake being poor forever. Meaning,wealth can be hidden much easier than poverty can be disguised.

    3.8K5984615100K viewsView on X
  • Aug 15, 20267.1x their median

    One for the gangsters one for the babes Only me collect one take de lead the way !!! https://t.co/IS1vi4Bug2

    3.4K37911325111K viewsView on X
  • Aug 18, 20267.0x their median

    If you a recording artist drop your latest single release below and let’s see who really got πŸ”₯οΏΌ

    2.8K14893749100K viewsView on X
  • Aug 17, 20266.9x their median

    if eating at night is bad then why is there a light in the fridge

    3.4K2701072085K viewsView on X
  • Aug 18, 20266.6x their median

    Coconut water will fix your life.

    3.3K20410627107K 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 554 interactions against 3.4M followers, an engagement rate of 0.016%. Measured over 111 original posts, its engagement rate beats 56% of 983 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 31K times each, and 1.76% of those impressions turn into an interaction. That is about 0.934% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.6 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 111 posts sampled, 16% carry an image or video. The account's strongest tracked post pulled 10K interactions, about 18x its own typical post.

What is π™΄πš›πš’πšπšπšŠ's engagement rate on X?
π™΄πš›πš’πšπšπšŠ (@erigganewmoney) has an engagement rate of 0.016%, based on the median interactions across 111 original posts from the last 30 days against 3,371,951 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.016%, π™΄πš›πš’πšπšπšŠ sits above the 25th percentile of the 9,668 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 @erigganewmoney have real engagement?
Its engagement rate beats 56% of the tracked X accounts closest to it in follower count (983 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 @erigganewmoney post?
Most posts go out around 12:00 UTC, and Sunday is its busiest day, at roughly 4.6 posts per day across the measured window.

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