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Michael S. Kim engagement report

@Mike_kim714 - 5.2M followers on X

Measured over 7 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Per follower
0.007%
of 5.2M followers
Per impression
0.221%
161K views on a typical post
Reach
3.07%
of its followers see a post
Typical post
355
interactions (median)
Saved
0.012%
19 bookmarks on a typical post
Posting rate
0.47/day
active 23% of days
Peak time
18:00 UTC
Friday

Early reading. We have captured 7 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 355 interactions against 5.2M followers, an engagement rate of 0.007%. Posts are seen about 161K times each, and 0.221% of those impressions turn into an interaction. That is about 3.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video, 43% are part of a thread and 29% link out. The account's strongest tracked post pulled 39K interactions, about 73x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 7 original posts from a 30-day window, last computed on October 24, 2026.

Where this sits in the catalog

At 0.007%, Michael S. Kim sits above the 10th percentile of the 204,491 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 204,491 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 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: 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 link29% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 29% 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 483 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% 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

  • Jul 5, 202673x their median

    🔥🚨LATEST: Canadian engineer John Tse is going viral after revealing his umbrella that follows him around as if he is in a futuristic movie. Tse created a fully autonomous umbrella that will assist people that need both of their hands while providing cover. https://t.co/Bs0FfTf718

    31K4.8K2.4K8554.1M viewsView on X
  • Jul 24, 202681x their median

    59 breakdown!! Something I never would have thought I’d do. What a day. Let’s get into it https://t.co/esvVk9vznx

    27K5571.2K1112.0M viewsView on X
  • Jul 29, 202662x their median

    BRAND new Si Woo Kim story: There’s a solid Korean bbq restaurant I always go to when I’m in Detroit. I text Si Woo, wanna grab dinner tonight at this place? He goes sure. He searches the name of the restaurant on Google Maps, and without much thinking starts driving. But before it’s too late, he realizes that he’s about to go across the US border into Canada! There was a restaurant under the SAME NAME closer to him in Canada 😂 He doesn’t have a passport, just his wallet. He tries to turn back, but it’s already too late, it’s a one way and there are multiple signs telling him he can’t turn back. He drives to the gate and talks to the officer. I’m driving to dinner with a friend, I came here by accident. The officer goes, ok don’t worry, happens all the time actually. But I can’t let you go back so you have to go across to Canada and then talk to the officers on the other side. He drives across, waits in line for 45min. He finally gets to an officer and he tries to explain. He’s super nervous but tries to explain what happened. He points to his courtesy car and says I’m here for the golf tournament. This officer is not sure what to do so they drive the car to the side and calls another officer… then another… then another until 8!!! officers are surrounding his car and talking to him and each other. They check his cars for weapons, asks him if he has any drugs or weapons, stuff like that and they finally let him thru 😂😂😂. Night ended with a nice kbbq dinner about 90 minutes later than we had originally planned. Never a dull moment with Si Woo. Thanks for the content my guy

    21K528319913.2M viewsView on X
  • Jul 28, 202654x their median

    59 Giveaway Time! Whoever guesses my locker number I had at 3M gets the 60 degree vokey wedge that I used all week with a commemorative stamping https://t.co/YEk8Njmxet

    6.8K9512K461.1M viewsView on X
  • Jul 24, 202629x their median

    This putt for 59 ... HISTORY for @Mike_Kim714! 📺 PGA TOUR LIVE on ESPN+ https://t.co/XCyOOWeeEP

    9.6K4541591263.1M viewsView on X
  • Jun 21, 202622x their median

    Beer after a tough day at the US Open is a tradition https://t.co/qABbeJz77k

    10K481584541K viewsView on X
  • Jul 10, 202622x their median

    Yo guys im tied with Brooks and Scottie after 36. I’m right in this! 😤🤦🏻‍♂️

    8.7K571384495K viewsView on X
  • Aug 1, 202625x their median

    This week could end no other way lol https://t.co/uryRlySoUL

    8.6K711719567K viewsView on X
  • Jun 21, 202614x their median

    That was such a gutsy performance by Wyndham. The entire crowd was against him and he pulled it off. What a win

    6.7K841299229K viewsView on X
  • Jul 26, 202617x their median

    Thoughts from 3M: -What an interesting week haha. 59 plus some solid golf but also some misses. -I gave pretty detailed thoughts about my 59, so I won’t go into that much detail here. Still a bit surreal. 1 out of 15… That’s a pretty cool club to be a part of. -I am proud of the fight I gave on Sunday. I was +2 at two different parts of the round, after 4 and also after 10. Still fighting and shooting -2 for the day to finish t-10 feels like a small win for me. My game is super close, just have to put 4 rounds together. -It’s pretty crazy how quickly Jackson has won. Beating Scottie in a pretty tough environment on a really hot day is really impressive stuff. Looking forward to competing with him for a long time. -What I think is a pretty cool giveaway coming up tomorrow!

    5.7K762366377K 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 355 interactions against 5.2M followers, an engagement rate of 0.007%. Posts are seen about 161K times each, and 0.221% of those impressions turn into an interaction. That is about 3.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video, 43% are part of a thread and 29% link out. The account's strongest tracked post pulled 39K interactions, about 73x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Michael S. Kim's engagement rate on X?
Michael S. Kim (@Mike_kim714) has an engagement rate of 0.007%, based on the median interactions across 7 original posts from the last 30 days against 5,242,004 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Michael S. Kim sits above the 10th percentile of the 204,491 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 @Mike_kim714 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Mike_kim714 post?
Most posts go out around 18:00 UTC, and Friday is its busiest day, at roughly 0.47 posts per day across the measured window.

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