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Nate Cohn engagement report

@Nate_Cohn - 440K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 30, 2026.

Engagement

Per follower
0.029%
of 440K followers
Per impression
0.29%
45K views on a typical post
Reach
10.2%
of its followers see a post
Typical post
130
interactions (median)
Saved
0.105%
47 bookmarks on a typical post
Posting rate
0.13/day
active 10% of days
Peak time
13:00 UTC
Sunday

Early reading. We have captured 3 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 130 interactions against 440K followers, an engagement rate of 0.029%. Posts are seen about 45K times each, and 0.29% of those impressions turn into an interaction. That is about 10.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 3 posts sampled, 33% are part of a thread and 67% link out. The account's strongest tracked post pulled 5.6K interactions, about 43x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on October 30, 2026.

Where this sits in the catalog

At 0.029%, Nate Cohn sits above the 25th percentile of the 218,281 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,281 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,721 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 percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 13:00 UTC, and Sunday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video0% of posts+111%+108% to +115%34K
Outbound link67% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 67% 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 89 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

  • Nov 2, 202443x their median

    And on that note, we'll have the final Times/Siena polls of the cycle at some time tomorrow

    5.1K1842391041.3M viewsView on X
  • Nov 7, 202426x their median

    Our last estimate for the final turnout in the presidential election is 157.5 million, almost matching 2020 in raw votes though falling a tick lower as share of eligible voters, given population growth.

    2.6K461762401.4M viewsView on X
  • Apr 22, 202621x their median

    I'm going to break my self-imposed social media ban to note something that I might write if I wasn't leaving on a trip tonight: If you want to solve gerrymandering, it is a solvable problem.

    2.4K1936456738K viewsView on X
  • Nov 3, 202420x their median

    A final point that I *hope* is obvious from the whole of my work, but may not be obvious if you only read individual snippets: I have no idea whether our polls (or any polls) polls be "right", too good for Harris, or too good for Trump. No one does.

    2.2K1801561581.1M viewsView on X
  • Oct 11, 2024

    Seems close https://t.co/3CUnJQb1HJ

    2.0K2071941631.6M viewsView on X
  • Nov 5, 202414x their median

    Will there be a needle? A quick thread.

    1.4K86901821.1M viewsView on X
  • Oct 1, 20269.3x their median

    Dems+7 on the generic in TX-15 is exactly what you would expect, given national polls https://t.co/qWCIKF7DFF

    1.1K122225159K viewsView on X
  • Nov 6, 20248.4x their median

    We have a needle https://t.co/Vp8KVIxgN3

    75314789100585K viewsView on X
  • Oct 31, 20246.7x their median

    It occurs to me that a lot of you probably weren't around back when the polling seemed healthy. Here's what it looked like in the pivotal battleground of Ohio, 2004-2012. Some real variance, and it was ok https://t.co/dtSwnkVNcW

    757563820403K viewsView on X
  • Nov 3, 20246.2x their median

    The final Times/Siena polls of the campaign show a dead-heat, with Harris gaining along late deciders in the Sun Belt while the Rust Belt tightens https://t.co/9klUN8AHcc https://t.co/ofGsrCkhUA

    5561226557297K 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 130 interactions against 440K followers, an engagement rate of 0.029%. Posts are seen about 45K times each, and 0.29% of those impressions turn into an interaction. That is about 10.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 3 posts sampled, 33% are part of a thread and 67% link out. The account's strongest tracked post pulled 5.6K interactions, about 43x its own typical post. Only 3 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 Nate Cohn's engagement rate on X?
Nate Cohn (@Nate_Cohn) has an engagement rate of 0.029%, based on the median interactions across 3 original posts from the last 30 days against 440,326 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.029%, Nate Cohn sits above the 25th percentile of the 218,281 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 @Nate_Cohn have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Nate_Cohn post?
Most posts go out around 13:00 UTC, and Sunday is its busiest day, at roughly 0.13 posts per day across the measured window.

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