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Jonathan Swan engagement report

@jonathanvswan - 1.1M followers on X

Measured over 1 original post from a 30-day window, last computed on October 25, 2026.

Engagement

Per follower
0.01%
of 1.1M followers
Per impression
0.139%
77K views on a typical post
Reach
7.37%
of its followers see a post
Typical post
108
interactions (median)
Saved
0.022%
17 bookmarks on a typical post
Posting rate
0.3/day
active 27% of days
Peak time
00:00 UTC
Monday

Early reading. We have captured 1 original post 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 108 interactions against 1.1M followers, an engagement rate of 0.01%. Posts are seen about 77K times each, and 0.139% of those impressions turn into an interaction. That is about 7.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 24K interactions, about 221x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on October 25, 2026.

Where this sits in the catalog

At 0.01%, Jonathan Swan 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 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: 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: 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 video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 100% 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 77 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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 4, 2026221x their median

    Tapper: Now, your ex-wife stated to police that your child told her… “daddy kill you” Max Miller: I wish you could talk to my beautiful baby girl. She can't string together sentences like that Tapper: But didn't you just tell me that she had said that she was scared to go to mommy's house. But now you're saying that she's not capable of saying, daddy kill you?

    21K2.5K2051441.4M viewsView on X
  • Aug 15, 202428x their median

    Trump: Virtually 100% of the net job creation in the last year has gone to migrants In fact I've heard substantially more and actually beyond that number 100%. It’s a much higher number than that but the government has not caught up with that yet. https://t.co/OhXChdai8n

    9.2K1.5K2.8K2.7K6.5M viewsView on X
  • Jul 11, 202658x their median

    https://t.co/aT3yI9dsYS

    11K2.2K699120779K viewsView on X
  • Jun 17, 202619x their median

    Jeff Bezos told Trump the Washington Post was his worst investment before slashing staff: 'People there are terrible' https://t.co/IuoYGIth6g https://t.co/jDfCTWmHSc

    9.8K1.1K20190327K viewsView on X
  • Jun 18, 20265.8x their median

    NEW @WIRED: Meta CEO Mark Zuckerberg and Amazon founder Jeff Bezos sought to ingratiate themselves to Trump after the 2024 election — who in return mocked them behind their backs, per new book by Maggie Haberman and Jonathan Swan — Zuckerberg sent Trump a photo of a letter one of his grade-school kids wrote that looked forward to the “golden age of america” — Bezos denigrated The Washington Post to Trump and described the newspaper as one of his worst financial investments — Trump showed off texts from Zuckerberg and Bezos to other guests, including to Elon Musk, who mocked them as “Firstclass groveling” — Months after their dinner, Bezos tried to get a favor from Trump, telling him it was a risk for SpaceX to dominate govt space contracts — Bezos suggested Trump tell Deputy Defense Secy Feinberg to ensure“contractor diversity,” opening the door for Blue Origin to get contracts — But Trump ultimately screwed over Bezos after he reconciled with Musk, and instead expanded SpaceX’s access to US space launch sites — WIRED obtained the details from “Regime Change: Inside the Imperial Presidency of Donald Trump” by @maggieNYT and @jonathanvswan ahead of June 23 release

    8.3K1.8K1632301.5M viewsView on X
  • May 12, 202616x their median

    New: Classified military intelligence assessments from early this month show Iran has regained access to most of its missile sites, launchers and underground facilities. Including: U.S. intel assesses Iran has restored operational access to 30 of the 33 missile sites it maintains along the Strait of Hormuz, and ~90% of Iran's underground missile sites are "partially or fully operational." w @Adamentous @maggieNYT https://t.co/3R2GEostRh

    5.9K2.2K5523492.9M viewsView on X
  • Sep 9, 202682x their median

    POINT OF THE TOURNAMENT https://t.co/KinG016xug

    8.0K6463590628K viewsView on X
  • Jul 11, 202620x their median

    Trump: “I just finished a perfect physical at Walter Reed, I do it every six months, and I requested another Cognitive Test, the only President to do so, three times, and I aced them all — Got every question right. Few people in Washington, D.C., could do so, including Maggot and her flunky associate, Jonathan Swan. I would be willing to bet they couldn’t get 50% of the questions right.”

    2.7K6389772721.4M viewsView on X
  • Aug 4, 202642x their median

    A candid assessment of GOP Rep Max Miller's interview with Jake Tapper just now, from a GOP strategist: "I mean what the absolute fuck was that"

    4.1K38452201.5M viewsView on X
  • Jun 18, 20262.4x their median

    New CNN has obtained new Trump book by Maggie Haberman and Jonathan Swan reveals how Trump compared himself to Mao, Stalin, Attila the Hun — and how a top aide found him with Superglue trying to decorate the Oval Office…. w/ @jeremyherb #Regime https://t.co/r43mmffFdn

    3.0K1.1K2181071.1M 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 108 interactions against 1.1M followers, an engagement rate of 0.01%. Posts are seen about 77K times each, and 0.139% of those impressions turn into an interaction. That is about 7.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 24K interactions, about 221x its own typical post. Only 1 original post 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 Jonathan Swan's engagement rate on X?
Jonathan Swan (@jonathanvswan) has an engagement rate of 0.01%, based on the median interactions across 1 original posts from the last 30 days against 1,053,550 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Jonathan Swan 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 @jonathanvswan have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @jonathanvswan post?
Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 0.3 posts per day across the measured window.

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