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Betches engagement report

@betchesluvthis - 207K followers on X

Measured over 21 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Middle of its size range
Per follower
0.029%
of 207K followers
Per impression
0.902%
6.8K views on a typical post
Reach
3.26%
of its followers see a post
Typical post
61
interactions (median)
Saved
0.015%
1 bookmarks on a typical post
Posting rate
0.7/day
active 30% of days
Peak time
17:00 UTC
Monday

A typical post picks up 61 interactions against 207K followers, an engagement rate of 0.029%. Measured over 21 original posts, its engagement rate beats 38% 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 6.8K times each, and 0.902% of those impressions turn into an interaction. That is about 3.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 21 posts sampled, 57% carry an image or video. The account's strongest tracked post pulled 42K interactions, about 686x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on October 6, 2026.

Compared with accounts its own size

Betches's engagement rate beats 38% of the tracked X accounts closest to it in follower count (20,444 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 40% 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 0.029%, Betches sits above the 25th percentile of the 205,374 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 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 17:00 UTC, and Monday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video57% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 57% 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 96 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

  • Jul 27, 2026686x their median

    Robert Pattinson the whole ending of the Odyssey: https://t.co/A04EvgTBsi

    38K3.8K47134371K viewsView on X
  • Jul 27, 2026579x their median

    every woman in the theater understood her on a deeply personal level https://t.co/corEkIrRtc

    31K4.1K1074121.9M viewsView on X
  • Jul 29, 2026338x their median

    New poster for ‘WICKER’ has been released. The film centers on an ostracized fisherwoman who commissions a husband made of wicker, leading to social chaos in her conservative village. In theaters this October. https://t.co/hWrcqvH9un

    19K1.0K2328211.1M viewsView on X
  • Jul 29, 2026316x their median

    10 years ago today, The Chainsmokers and Halsey released ‘Closer.’ https://t.co/ZisnKarvLr

    17K1.5K2139541.1M viewsView on X
  • Jul 20, 2026180x their median

    having a Jimothy summer (body positive, snacking nonstop and lurking) https://t.co/FcCuSkHXZu

    10K8542323127K viewsView on X
  • Aug 10, 2026115x their median

    whenever someone tries to talk to me about ai https://t.co/DLacAfS8z4

    6.1K8433899K viewsView on X
  • Aug 30, 2026108x their median

    the daisy chain festival proves that our world would look like this if we lived in a matriarchy https://t.co/bwBfxxtYTB

    6.0K5381337K viewsView on X
  • Jul 29, 202679x their median

    me trying to explain to Gen Z the significance Closer by The Chainsmokers had on us https://t.co/2c5VNs9DTM

    4.4K3661430118K viewsView on X
  • Sep 3, 202674x their median

    Ok, time to wrap up 2026. https://t.co/WCo2RN2xwF

    4.1K3855630K viewsView on X
  • Sep 28, 202668x their median

    hey so I actually don't need Taylor Swift to make more music, I need her to make a sapphic blockbuster starring her and Dakota Johnson asap

    3.8K328141766K 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 61 interactions against 207K followers, an engagement rate of 0.029%. Measured over 21 original posts, its engagement rate beats 38% 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 6.8K times each, and 0.902% of those impressions turn into an interaction. That is about 3.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 21 posts sampled, 57% carry an image or video. The account's strongest tracked post pulled 42K interactions, about 686x its own typical post.

What is Betches's engagement rate on X?
Betches (@betchesluvthis) has an engagement rate of 0.029%, based on the median interactions across 21 original posts from the last 30 days against 207,154 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.029%, Betches sits above the 25th percentile of the 205,374 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 @betchesluvthis have real engagement?
Its engagement rate beats 38% 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 @betchesluvthis post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 0.7 posts per day across the measured window.

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