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Justin ROSE engagement report

@JustinRose99 - 5.9M followers on X

Measured over 25 original posts from a 30-day window, last computed on October 26, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 5.9M followers
Per impression
0.472%
161K views on a typical post
Reach
2.73%
of its followers see a post
Typical post
761
interactions (median)
Saved
0.005%
8 bookmarks on a typical post
Posting rate
1.8/day
active 77% of days
Peak time
18:00 UTC
Wednesday

A typical post picks up 761 interactions against 5.9M followers, an engagement rate of 0.013%. Measured over 25 original posts, its engagement rate beats 37% 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 161K times each, and 0.472% of those impressions turn into an interaction. That is about 2.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 88% carry an image or video. The account's strongest tracked post pulled 18K interactions, about 24x its own typical post. Recurring topics include #dpwic, #dunhilllinks, #openespana.

Measured over 25 original posts from a 30-day window, last computed on October 26, 2026. Recurring tags: #dpwic, #dunhilllinks, #openespana.

Compared with accounts its own size

Justin ROSE's engagement rate beats 37% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 30% 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 0.013%, Justin ROSE sits above the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 18:00 UTC, and Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video88% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 88% 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.
  • 4% 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 127 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

  • Aug 30, 202624x their median

    Ending the @PGATOUR season with a slam dunk!!! https://t.co/Zaepbjrihb

    17K36728131592K viewsView on X
  • Aug 7, 202621x their median

    First @McLarenF1 signed golf bag giveaway!! Just RT for a chance to win it!! I’ll pick one winner on Monday 17th September… 🍀 https://t.co/TKjmbyCjp4

    4.8K10K597168569K viewsView on X
  • Jul 19, 202616x their median

    Champion Golfer of the Year. https://t.co/jKB7XSv1bl

    11K950242177863K viewsView on X
  • Jul 26, 202611x their median

    The future has arrived and his name is Jackson Koivun. The @AuburnMGolf alum wins @3MOpen in his third professional start! https://t.co/2oxEz84k7b

    7.6K1.0K151211770K viewsView on X
  • Aug 30, 20268.4x their median

    ☝🏼 @Titleist #ProV1x https://t.co/YtR7QAG4Y2

    6.1K961263200K viewsView on X
  • Aug 3, 20268.0x their median

    Enjoying some family time… 🇵🇹 Clubs back out tomorrow after two weeks!! 😳 https://t.co/uHXc6i9hoQ

    5.8K1021650456K viewsView on X
  • Sep 9, 20266.3x their median

    Couldn’t resist joining this iconic 80s trend! #80strend 😂 https://t.co/Qc3IRhG0fU

    4.5K8019616350K viewsView on X
  • Jul 17, 20265.6x their median

    That was special @TheOpen @royalbirkdale Gutted I won’t be around for the weekend around that amazing golf course…. Thanks for all the support #Team🌹 https://t.co/biXLg6Mh1g

    4.1K1141195110K viewsView on X
  • Jul 18, 20264.7x their median

    Come on Tommy Lad!!! 🏴󠁧󠁢󠁥󠁮󠁧󠁿 @TheOpen

    3.5K85384156K viewsView on X
  • Sep 9, 20264.2x their median

    So many asking about Tommy Lad! @TommyFleetwood1 #80strend https://t.co/2aa66ArSoA

    2.9K1051738185K 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

#dpwic#dunhilllinks#openespana#exceling#intlteam

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 761 interactions against 5.9M followers, an engagement rate of 0.013%. Measured over 25 original posts, its engagement rate beats 37% 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 161K times each, and 0.472% of those impressions turn into an interaction. That is about 2.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 88% carry an image or video. The account's strongest tracked post pulled 18K interactions, about 24x its own typical post. Recurring topics include #dpwic, #dunhilllinks, #openespana.

What is Justin ROSE's engagement rate on X?
Justin ROSE (@JustinRose99) has an engagement rate of 0.013%, based on the median interactions across 25 original posts from the last 30 days against 5,903,587 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Justin ROSE sits above the 10th percentile of the 204,583 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 @JustinRose99 have real engagement?
Its engagement rate beats 37% 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 @JustinRose99 post?
Most posts go out around 18:00 UTC, and Wednesday is its busiest day, at roughly 1.8 posts per day across the measured window.

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