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Music over time🎻 engagement report

@Peal8888 - 127K followers on X

Measured over 43 original posts from a 30-day window, last computed on October 17, 2026.

Engagement

Middle of its size range
Per follower
0.1%
of 127K followers
Per impression
2.26%
5.5K views on a typical post
Reach
4.39%
of its followers see a post
Typical post
124
interactions (median)
Saved
0.292%
16 bookmarks on a typical post
Posting rate
1.43/day
active 30% of days
Peak time
18:00 UTC
Thursday

A typical post picks up 124 interactions against 127K followers, an engagement rate of 0.1%. Measured over 43 original posts, its engagement rate beats 53% of 21,185 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 5.5K times each, and 2.26% of those impressions turn into an interaction. That is about 4.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 43 posts sampled, 100% carry an image or video and 7% link out. The account's strongest tracked post pulled 34K interactions, about 273x its own typical post.

Measured over 43 original posts from a 30-day window, last computed on October 17, 2026.

Compared with accounts its own size

Music over time🎻's engagement rate beats 53% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 8 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 65% 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 0.1%, Music over time🎻 sits above the 25th percentile of the 212,805 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,805 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,448 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 percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.1%

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 18:00 UTC, and Thursday 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 link7% 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.
  • 7% 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 123 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 15, 2026273x their median

    Honestly, this is even better than the studio version. 🎶 https://t.co/5GBulSYHMq

    30K2.9K2105729.9M viewsView on X
  • Sep 12, 2026112x their median

    No piercings, no tattoos to attract attention. Just a good voice, a good band, good sound, a good song. Comparing it to today's music is unfair because 80s music was far superior. https://t.co/wm5pVwP0th

    12K1.6K181119451K viewsView on X
  • Sep 11, 2026101x their median

    The smoothest transition ever🔥 https://t.co/jca4Ao6EkM

    12K6494353527K viewsView on X
  • Jul 20, 202662x their median

    This is probably as close to the original as I've heard. Phenomenal!😍🔥 https://t.co/PoFD5FTUuy

    6.8K65813440319K viewsView on X
  • Sep 12, 202656x their median

    This song is timeless. Probably one of the most iconic melodies in music history. https://t.co/W4631rILcR

    6.1K7563854260K viewsView on X
  • Sep 12, 202654x their median

    Some girls have all the luck 🩷 https://t.co/7A3GPAGF1M

    6.3K38560151.9M viewsView on X
  • Sep 13, 202644x their median

    This is probably as close to the original as I've heard. Phenomenal!❤️ https://t.co/B0mUdC4Bo0

    4.8K49412432364K viewsView on X
  • Sep 14, 202641x their median

    The best cover of all time for this song! ✨ https://t.co/AtUxvOCC3d

    4.3K69810162235K viewsView on X
  • Sep 14, 202631x their median

    Absolutely amazing—they deserved the Golden Buzzer. It really felt like their inspiration came straight out of the video game Mortal Kombat 🎮🔥 https://t.co/f4luKo4XWN

    3.4K3542224363K viewsView on X
  • Sep 14, 202631x their median

    Backing vocals sung before the main vocal was ingenious 🎤👏 https://t.co/wBEKhdfPtL

    3.3K4064826155K 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 124 interactions against 127K followers, an engagement rate of 0.1%. Measured over 43 original posts, its engagement rate beats 53% of 21,185 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 5.5K times each, and 2.26% of those impressions turn into an interaction. That is about 4.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 43 posts sampled, 100% carry an image or video and 7% link out. The account's strongest tracked post pulled 34K interactions, about 273x its own typical post.

What is Music over time🎻's engagement rate on X?
Music over time🎻 (@Peal8888) has an engagement rate of 0.1%, based on the median interactions across 43 original posts from the last 30 days against 126,846 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.1%, Music over time🎻 sits above the 25th percentile of the 212,805 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 @Peal8888 have real engagement?
Its engagement rate beats 53% of the tracked X accounts closest to it in follower count (21,185 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 @Peal8888 post?
Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 1.43 posts per day across the measured window.

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