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Daniel Pink engagement report

@DanielPink - 442K followers on X

Measured over 48 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Middle of its size range
Per follower
0.019%
of 442K followers
Per impression
0.638%
13K views on a typical post
Reach
2.93%
of its followers see a post
Typical post
82
interactions (median)
Saved
0.182%
24 bookmarks on a typical post
Posting rate
3.5/day
active 43% of days
Peak time
17:00 UTC
Thursday

A typical post picks up 82 interactions against 442K followers, an engagement rate of 0.019%. Measured over 48 original posts, its engagement rate beats 43% 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 13K times each, and 0.638% of those impressions turn into an interaction. That is about 2.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 48 posts sampled, 13% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 2.2K interactions, about 27x its own typical post.

Measured over 48 original posts from a 30-day window, last computed on September 24, 2026.

Compared with accounts its own size

Daniel Pink's engagement rate beats 43% 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 36% 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 0.019%, Daniel Pink 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 17:00 UTC, and Thursday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video13% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 13% 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.
  • 0% 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 215 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

  • Sep 3, 202627x their median

    Four habits that train your mind to reduce negative thinking, if you're an overthinker. Yale psychologist Susan Nolen-Hoeksema spent decades on rumination and found the trap: replaying a problem feels like solving it, and makes you worse at solving it. The habits: 🧵

    1.9K249307357K viewsView on X
  • Sep 10, 202616x their median

    A 20-minute exercise from Stanford that I'd put up against most career coaching. It's called the Odyssey Plan. Three five-year futures, on one page. 🧵

    1.2K122254190K viewsView on X
  • Sep 8, 20268.7x their median

    Two questions that persuade better than any argument. Yale psychologist Michael Pantalon calls them irrational. I first wrote about them in To Sell Is Human, and they still work on everyone, including me. 🧵

    65151122135K viewsView on X
  • Sep 10, 20267.6x their median

    Three books I'd hand anyone who feels stuck. (After reading for 50 years)🧵

    56347114138K viewsView on X
  • Sep 8, 20266.3x their median

    Harvard has been following the same group of men since 1938. Eighty-plus years of data on who thrives at 80. The number one predictor was not IQ, income, or fame. 🧵

    425661513336K viewsView on X
  • Sep 3, 20264.7x their median

    I've read more productivity books than anyone you know. Strip away the packaging and they all teach the same six lessons. Thirty years of advice, one thread: https://t.co/lEaZ6J8miT

    327487634K viewsView on X
  • Nov 12, 20243.8x their median

    For the last 20+ years, I’ve been studying work, creativity, science, and the human condition. Over the next few months, I’ll be sharing the best of what I’ve learned about living a life that matters. Stay tuned! https://t.co/rymEYeGYg9

    2652026160K viewsView on X
  • Sep 4, 20263.6x their median

    How to plan your day (for people in their 50s). I'm 61, so this one's personal: 1. Your body clock has drifted earlier since your 20s. Use it. 2. The midlife slump is real, and it lifts. 3. Say no faster. Your time horizon is the asset. 4. Take your breaks outside, with someone. 5. Quit books at 100 minus your age pages. The science: 🧵

    257308494K viewsView on X
  • Aug 24, 20263.3x their median

    The biggest daily motivator at work is not cash. It is not praise. It is visible progress on work that matters. Most workplaces are feedback deserts. You finish the day unsure whether you moved anything. So do not wait for the world to notice. At the end of the day, write down three things you advanced. Small is fine. Momentum is the point. You cannot install motivation. You can make progress visible enough that it returns tomorrow.

    2193210717K viewsView on X
  • Sep 11, 20263.0x their median

    Psychologists have tracked what happens when people share their goals — two landmark studies, a decade apart. One way of sharing worked. The other backfired.

    219234258K 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 82 interactions against 442K followers, an engagement rate of 0.019%. Measured over 48 original posts, its engagement rate beats 43% 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 13K times each, and 0.638% of those impressions turn into an interaction. That is about 2.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 48 posts sampled, 13% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 2.2K interactions, about 27x its own typical post.

What is Daniel Pink's engagement rate on X?
Daniel Pink (@DanielPink) has an engagement rate of 0.019%, based on the median interactions across 48 original posts from the last 30 days against 441,674 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.019%, Daniel Pink 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 @DanielPink have real engagement?
Its engagement rate beats 43% 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 @DanielPink post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 3.5 posts per day across the measured window.

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