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Lauren💕🧚🏼‍♀️ engagement report

@amouredelavie - 2.1M followers on X

Measured over 44 original posts from a 30-day window, last computed on August 20, 2026.

Engagement

Top quarter for its size
Per follower
0.135%
of 2.1M followers
Per impression
6.39%
44K views on a typical post
Reach
2.11%
of its followers see a post
Typical post
2.8K
interactions (median)
Saved
0.491%
216 bookmarks on a typical post
Posting rate
2.53/day
active 90% of days
Peak time
15:00 UTC
Friday

A typical post picks up 2.8K interactions against 2.1M followers, an engagement rate of 0.135%. Measured over 44 original posts, its engagement rate beats 84% of 1,003 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 44K times each, and 6.39% of those impressions turn into an interaction. That is about 2.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 44 posts sampled, 84% carry an image or video, 41% are part of a thread and 14% link out. The account's strongest tracked post pulled 11K interactions, about 4.1x its own typical post.

Measured over 44 original posts from a 30-day window, last computed on August 20, 2026.

Compared with accounts its own size

Lauren💕🧚🏼‍♀️'s engagement rate beats 84% of the tracked X accounts closest to it in follower count (1,003 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 98% 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 0.135%, Lauren💕🧚🏼‍♀️ sits above the 50th percentile of the 9,789 accounts in this comparison. That places it in the above the median band, which runs 0.046% to 0.319%.

p100.001%
p250.006%
p50 (median)0.046%
p750.319%
p902.64%
p99357.2%
Engagement rate as a share of followers, across the 9,789 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 446,562 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 percentile0.319%
90th percentile2.64%
99th percentile357.2%

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 15:00 UTC, and Friday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 96%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%15K
01:00 UTC+4%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-5%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%17K
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%29K
15:00 UTC-1%30K
16:00 UTC-1%30K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%24K
20:00 UTC0%22K
21:00 UTC+1%19K
22:00 UTC+1%17K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 96%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+8%59K
Monday+8%72K
Tuesday+1%94K
Wednesday-4%78K
Thursday-3%71K
Friday-5%73K
Saturday+2%64K
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 video84% of posts+79%+73% to +85%5.8K
Outbound link14% of posts-49%-50% to -47%6.1K
Typical length-+7%+4% to +9%7.2K
  • 84% 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.
  • 14% 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 69 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 7% above 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 13, 20264.1x their median

    I‘ve been a bad girl...what‘s my punishment? https://t.co/UsOJY001M3

    11K454211588K viewsView on X
  • Aug 16, 20263.4x their median

    I surrender. What is happening next? https://t.co/bqEIfH8yqK

    8.9K382190573K viewsView on X
  • Aug 15, 20262.5x their median

    Pillow or couch? https://t.co/Zmeo6kSni7

    6.6K217143167K viewsView on X
  • Aug 13, 20262.1x their median

    Should I stay like this a little longer? 🤭 https://t.co/KGCvGAyvYH

    5.6K19689264K viewsView on X
  • Aug 7, 20262.1x their median

    Would you spoil me? https://t.co/7LBJtGc5bK

    5.5K186118287K viewsView on X
  • Aug 12, 20262.0x their median

    Should I have turned around? https://t.co/YyxG6TGlvo

    5.4K173116260K viewsView on X
  • Aug 9, 20261.9x their median

    Don't stare for too long https://t.co/4KlbhRa58m

    5.2K15257081K viewsView on X
  • Aug 15, 20261.9x their median

    You gonna keep me waiting? https://t.co/xr4pjqN0D7

    5.1K18789057K viewsView on X
  • Aug 12, 20261.7x their median

    Is it the stockings or the stare? https://t.co/FbnyKvPeOH

    4.6K14892154K viewsView on X
  • Aug 6, 20261.7x their median

    Are you getting behind me? https://t.co/4E7i3cJnc1

    4.5K147137355K 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 2.8K interactions against 2.1M followers, an engagement rate of 0.135%. Measured over 44 original posts, its engagement rate beats 84% of 1,003 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 44K times each, and 6.39% of those impressions turn into an interaction. That is about 2.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 44 posts sampled, 84% carry an image or video, 41% are part of a thread and 14% link out. The account's strongest tracked post pulled 11K interactions, about 4.1x its own typical post.

What is Lauren💕🧚🏼‍♀️'s engagement rate on X?
Lauren💕🧚🏼‍♀️ (@amouredelavie) has an engagement rate of 0.135%, based on the median interactions across 44 original posts from the last 30 days against 2,077,903 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.135%, Lauren💕🧚🏼‍♀️ sits above the 50th percentile of the 9,789 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 @amouredelavie have real engagement?
Its engagement rate beats 84% of the tracked X accounts closest to it in follower count (1,003 accounts), which puts it in the top quarter for its size 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 @amouredelavie post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 2.53 posts per day across the measured window.

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