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Genie Bouchard engagement report

@geniebouchard - 1.5M followers on X

Measured over 15 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.027%
of 1.5M followers
Per impression
0.489%
81K views on a typical post
Reach
5.57%
of its followers see a post
Typical post
395
interactions (median)
Saved
0.017%
14 bookmarks on a typical post
Posting rate
0.77/day
active 47% of days
Peak time
03:00 UTC
Monday

A typical post picks up 395 interactions against 1.5M followers, an engagement rate of 0.027%. Measured over 15 original posts, its engagement rate beats 50% of 3,758 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 81K times each, and 0.489% of those impressions turn into an interaction. That is about 5.56% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 15 posts sampled, 47% carry an image or video. The account's strongest tracked post pulled 56K interactions, about 143x its own typical post. Recurring topics include #usopen, #tennis, #tennislife.

Measured over 15 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #usopen, #tennis, #tennislife.

Compared with accounts its own size

Genie Bouchard's engagement rate beats 50% of the tracked X accounts closest to it in follower count (3,758 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 32% 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 0.027%, Genie Bouchard sits above the 25th percentile of the 36,378 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.432%
p902.10%
p99161.0%
Engagement rate as a share of followers, across the 36,378 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,364 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.432%
90th percentile2.10%
99th percentile161.0%

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 03:00 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 03:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jun 16, 2026143x their median

    Back together, at Wimbledon 💚💜 Serena and Venus Williams will compete in the Ladies’ Doubles at The Championships 2026 https://t.co/xrOV0yeBCJ

    45K9.7K4161.1K1.2M viewsView on X
  • Jun 1, 2026101x their median

    Good news travels fast. https://t.co/R7x7EFPUJ8

    31K6.2K8091.8K3.4M viewsView on X
  • Aug 10, 202640x their median

    Going to bed late is associated with a higher IQ. Researchers at the London School of Economics analyzed thousands of individuals to map the relationship between circadian rhythms and cognitive ability. People with higher IQs are significantly more likely to be night owls. The data breaks it down by sleep schedules: • Very Dull (IQ < 75): Sleep by 11:41 PM • Normal (IQ 90–110): Sleep by 12:10 AM • Very Bright (IQ > 125): Sleep by 1:44 AM (and sleep in past 11:00 AM on weekends) Why? Evolutionary psychology. For 99% of human history, night was for sleeping. Artificial light didn't exist. Staying up late chasing complex thoughts, building projects, or solving problems is an "evolutionarily novel preference." People with higher general intelligence are more equipped to override ancestral instincts, break away from the traditional sun-up-sun-down routine, and adapt to a modern, 24/7 world. The early bird might get the worm. But the night owl gets the higher IQ score.

    13K1.5K7257381.9M viewsView on X
  • Aug 4, 202628x their median

    Alcaraz's hairstyle lasted 2 days. https://t.co/cNdMAQiKzn

    10K2732332232.3M viewsView on X
  • Aug 29, 202627x their median

    Did someone say us open? https://t.co/KpxNcT9nqK

    9.9K28327524423K viewsView on X
  • May 25, 202632x their median

    Hi @rolandgarros !! So fun hanging out w ya 🫶🏼🫶🏼🫶🏼 @TNTSportsUS https://t.co/O82fnpfY5J

    8.9K23891241.1M viewsView on X
  • Jun 3, 202620x their median

    RG admins since the tournament started: https://t.co/8769w8qgRl

    7.1K6424050178K viewsView on X
  • Jun 30, 202617x their median

    Hi @Wimbledon 🤍 https://t.co/9cHW4tjdlE

    6.2K14314811614K viewsView on X
  • Jul 1, 202616x their median

    Happy Canada Day from the UK 🇨🇦🇬🇧 https://t.co/XpPk4hMcjC

    5.9K1511343285K viewsView on X
  • Jun 23, 202614x their median

    Travel internationally one time per quarter, max. That's what I'd suggest after extensively measuring my biomarkers while traveling to China, India, and Australia. It's a real biological insult. One trip requires weeks to fully recover.

    4.7K1654041221.7M 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.

Recurring topics

#usopen#tennis#tennislife#tennisplayer

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 395 interactions against 1.5M followers, an engagement rate of 0.027%. Measured over 15 original posts, its engagement rate beats 50% of 3,758 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 81K times each, and 0.489% of those impressions turn into an interaction. That is about 5.56% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 15 posts sampled, 47% carry an image or video. The account's strongest tracked post pulled 56K interactions, about 143x its own typical post. Recurring topics include #usopen, #tennis, #tennislife.

What is Genie Bouchard's engagement rate on X?
Genie Bouchard (@geniebouchard) has an engagement rate of 0.027%, based on the median interactions across 15 original posts from the last 30 days against 1,451,404 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.027%, Genie Bouchard sits above the 25th percentile of the 36,378 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 @geniebouchard have real engagement?
Its engagement rate beats 50% of the tracked X accounts closest to it in follower count (3,758 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 @geniebouchard post?
Most posts go out around 03:00 UTC, and Monday is its busiest day, at roughly 0.77 posts per day across the measured window.

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