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Holy Elle engagement report

@Holy_Elle - 167K followers on X

Measured over 10 original posts from a 30-day window, last computed on October 22, 2026.

Engagement

Middle of its size range
Per follower
0.108%
of 167K followers
Per impression
2.21%
8.2K views on a typical post
Reach
4.90%
of its followers see a post
Typical post
182
interactions (median)
Saved
0.012%
1 bookmarks on a typical post
Posting rate
1.5/day
active 33% of days
Peak time
23:00 UTC
Tuesday

A typical post picks up 182 interactions against 167K followers, an engagement rate of 0.108%. Measured over 10 original posts, its engagement rate beats 55% 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 8.2K times each, and 2.21% of those impressions turn into an interaction. That is about 4.90% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 23:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 31K interactions, about 168x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on October 22, 2026.

Compared with accounts its own size

Holy Elle's engagement rate beats 55% of the tracked X accounts closest to it in follower count (20,444 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 64% 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 0.108%, Holy Elle sits above the 25th percentile of the 205,261 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 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 23:00 UTC, and Tuesday 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: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 89 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, 2026168x their median

    just saw a video where a Zoomer said Millennials need to retire so they can climb the corporate ladder and get our jobs. sir i would love to retire but i am 35 years old.

    28K1.6K297195516K viewsView on X
  • Sep 14, 202635x their median

    You can tell Lanterns is a good show because comic book readers hate it.

    6.0K28112769136K viewsView on X
  • Sep 16, 202619x their median

    how men treat women based on how hot they are https://t.co/WFCJunqjo3

    3.4K973417687K viewsView on X
  • Sep 19, 202611x their median

    8 days to 50😌 https://t.co/H7BUZE4zaG

    1.9K14145221K viewsView on X
  • Oct 20, 202610x their median

    Rays Brewers World Series matchup is the worst thing to happen heading into negotiations for the looming lockout Two small market teams bullying their way to the World Series Also terrible matchup for mlb as a whole Feels like baseball ended a month ago for most of the country

    441141.2K212280K viewsView on X
  • Oct 19, 20269.6x their median

    ✌🏼 https://t.co/p3JqeiTdR5

    1.7K1671215K viewsView on X
  • Oct 15, 20267.6x their median

    🎈 https://t.co/1CLxYHOMyn

    1.3K943216K viewsView on X
  • Sep 14, 20267.4x their median

    ✌🏼Monday https://t.co/IsDlbrbvz9

    1.3K969317K viewsView on X
  • Sep 15, 20264.6x their median

    What's a CBM opinion that will have you like this? https://t.co/TlkHFsypEG

    5242892202449K viewsView on X
  • Oct 17, 20263.6x their median

    “I will die on that hill. If the Dodgers had the best version of Shohei Ohtani the hitter, they would have beaten the Brewers, they would have won the World Series.” “If to get the best version of Shohei Ohtani the hitter means he’s a one-way player, then that’s what best for the Dodgers.” - @DMAC_LA on if Ohtani should stop pitching next season

    2732231448185K 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 182 interactions against 167K followers, an engagement rate of 0.108%. Measured over 10 original posts, its engagement rate beats 55% 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 8.2K times each, and 2.21% of those impressions turn into an interaction. That is about 4.90% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 23:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 31K interactions, about 168x its own typical post.

What is Holy Elle's engagement rate on X?
Holy Elle (@Holy_Elle) has an engagement rate of 0.108%, based on the median interactions across 10 original posts from the last 30 days against 167,266 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.108%, Holy Elle sits above the 25th percentile of the 205,261 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 @Holy_Elle have real engagement?
Its engagement rate beats 55% 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 @Holy_Elle post?
Most posts go out around 23:00 UTC, and Tuesday is its busiest day, at roughly 1.5 posts per day across the measured window.

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