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Ivan Watson engagement report

@IvanCNN - 88K followers on X

Measured over 6 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Per follower
0.009%
of 88K followers
Per impression
0.471%
1.7K views on a typical post
Reach
1.92%
of its followers see a post
Typical post
8
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.47/day
active 60% of days
Peak time
00:00 UTC
Friday

Early reading. We have captured 6 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 8 interactions against 88K followers, an engagement rate of 0.009%. Posts are seen about 1.7K times each, and 0.471% of those impressions turn into an interaction. That is about 1.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 00:00 UTC, and Friday is the busiest day of the week. Of the 6 posts sampled, 33% carry an image or video and 100% link out. The account's strongest tracked post pulled 74 interactions, about 9.3x its own typical post. Recurring topics include #china, #meanwhileinasia, #korea. Only 6 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 6 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #china, #meanwhileinasia, #korea.

Where this sits in the catalog

At 0.009%, Ivan Watson sits above the 10th percentile of the 205,261 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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 video33% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 33% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 241 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 4, 20269.3x their median

    .@SecScottBessent: A stable yen is important not only for the U.S., but for the entire Asia region. https://t.co/aPNR0kvDjc https://t.co/9Ka1coJPS5

    5877230K viewsView on X
  • Jul 31, 20262.0x their median

    What if China gets control of the South China Sea? Check out the latest episode of Meanwhile in Asia with @klustout @bexwright1 and @KunalSehgal92 #Philippines #China https://t.co/rraXTHGnUH

    87103.1K viewsView on X
  • Aug 25, 20261.8x their median

    RIP Dolly. What a woman.

    140001.9K viewsView on X
  • Sep 4, 20261.5x their median

    Rescuers pulled 2 men from the ruins of a power plant in Nepal, 9 days after the deadly flood ripped through mountain valleys @HanakoMontgome1 interviewed other hydro-power plant survivors & shares their account in the latest episode of Meanwhile In Asia: https://t.co/8O8w5LBtJ4 https://t.co/KgFrfzKNtP

    75001.6K viewsView on X
  • Sep 4, 2026

    What made the Nepal-China floods so devastating? | Sorrow & survival after the "tsunami in the sky" Watch the latest episode of Meanwhile In Asia with @KunalSehgal92 @HanakoMontgome1 & @BillWeirCNN #Nepal https://t.co/8ayP0ZJN9Z

    65002.4K viewsView on X
  • Aug 15, 2026

    Talking beg-packers and over-tourism in dumb shirts Watch "Bad Tourists," the latest episode of Meanwhile In Asia: https://t.co/WUq2wLplps With @kunalsehgal92 @lilitmarcus & @KochaOlarn #Thailand https://t.co/mVCLsClSkD

    63011.9K viewsView on X
  • Sep 24, 2026

    Federal Judge Timothy Kelly has ordered the Trump administration to restore CNN, MS NOW and Politico’s access to the White House after they were banned from the premises by President Donald Trump. https://t.co/PsqFYLgrte

    63001.3K viewsView on X
  • Sep 13, 2026

    How would Trump react if China invaded Taiwan? This week on Meanwhile In Asia we discuss potential scenarios between China, the US and Taiwan with CNN's Taipei Correspondent @willripleyCNN #China https://t.co/9FySrmvaMq via @YouTube

    34004.2K viewsView on X
  • Aug 13, 2026

    With more than 5,000 sailors and Marines aboard, [the USS Abraham Lincoln] has not made a port call in more than 200 days, setting a modern-day record for consecutive days at sea --Senator Richard Blumenthal https://t.co/m4oKzivA4v

    33001.5K viewsView on X
  • Sep 19, 2026

    Fast food is a booming business across Asia worth $183 billion dollars in 2025. This week on Meanwhile In Asia, @GageGoulding explores how international brands do [and in the case of Chipotle DON'T] localize their menus Watch the episode: https://t.co/uV0OemjKTI #Korea https://t.co/6qIfJCYhPx

    23001.8K 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

#china#meanwhileinasia#korea#nepal#taiwan

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 8 interactions against 88K followers, an engagement rate of 0.009%. Posts are seen about 1.7K times each, and 0.471% of those impressions turn into an interaction. That is about 1.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 00:00 UTC, and Friday is the busiest day of the week. Of the 6 posts sampled, 33% carry an image or video and 100% link out. The account's strongest tracked post pulled 74 interactions, about 9.3x its own typical post. Recurring topics include #china, #meanwhileinasia, #korea. Only 6 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 Ivan Watson's engagement rate on X?
Ivan Watson (@IvanCNN) has an engagement rate of 0.009%, based on the median interactions across 6 original posts from the last 30 days against 88,206 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.009%, Ivan Watson sits above the 10th percentile of the 205,261 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 @IvanCNN have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @IvanCNN post?
Most posts go out around 00:00 UTC, and Friday is its busiest day, at roughly 1.47 posts per day across the measured window.

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