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Daniel Pink engagement report

@DanielPink - 441K followers on X

Measured over 39 original posts from a 30-day window, last computed on August 29, 2026.

Engagement

Middle of its size range
Per follower
0.01%
of 441K followers
Per impression
0.365%
12K views on a typical post
Reach
2.68%
of its followers see a post
Typical post
43
interactions (median)
Saved
0.119%
14 bookmarks on a typical post
Posting rate
2.2/day
active 17% of days
Peak time
15:00 UTC
Thursday

A typical post picks up 43 interactions against 441K followers, an engagement rate of 0.01%. Measured over 39 original posts, its engagement rate beats 30% of 3,899 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 12K times each, and 0.365% of those impressions turn into an interaction. That is about 2.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. The account's strongest tracked post pulled 306 interactions, about 7.1x its own typical post.

Measured over 39 original posts from a 30-day window, last computed on August 29, 2026.

Compared with accounts its own size

Daniel Pink's engagement rate beats 30% of the tracked X accounts closest to it in follower count (3,899 accounts, accounts of similar size (decile 7 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 27% 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 0.01%, Daniel Pink sits above the 10th percentile of the 37,701 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99156.3%
Engagement rate as a share of followers, across the 37,701 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 104,204 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile156.3%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Nov 12, 20247.1x 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

    2592026156K viewsView on X
  • Aug 24, 20266.2x 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
  • Aug 25, 20264.2x their median

    We used to have search engines. Now we have answer engines. When answers get cheap, questions become priceless. Great thinkers don’t just deliver answers. They generate better questions. If the machine can finish the sentence, your job is to ask a better one.

    144301412K viewsView on X
  • Aug 27, 20263.4x their median

    Night owls are not undisciplined. Morning culture is just louder. About 15 percent of people are natural early risers. About 20 percent are night owls. That is biology, not character. Stop treating one body clock like a moral system.

    129611013K viewsView on X
  • Aug 28, 20262.9x their median

    Motivation is unreliable. Progress is not. Harvard diary research on workdays found the biggest daily boost was not cash or praise. It was visible progress on work that matters.

    11465114K viewsView on X
  • Aug 28, 20262.9x their median

    If you need a burst of motivation, the step is too big. Shrink it until it is boring. One paragraph. One call. One block of the day protected. Then mark that it happened. Action does not wait for the mood. The mood waits for proof.

    10597313K viewsView on X
  • Aug 27, 20262.3x their median

    We used to have search engines. Now we have answer engines. When answers get cheap, questions become priceless. The machine can finish the sentence. Your job is to ask a better one.

    77146214K viewsView on X
  • Aug 28, 20262.1x their median

    A to-do list is a wish. A calendar is a decision. If the important work has no hour, it will lose to whatever yells. Put the hard thinking in your peak. Put admin in the trough. Put a real break before the second half. Time management is not more tasks. It is better placement.

    8380010K viewsView on X
  • Aug 28, 20262.1x their median

    The afternoon is not just later. It is different. The brain gets noisier. The work feels heavier. Waiting for a motivation burst makes it worse. Do not solve the whole day. Take the 20-minute break. Then do the next small thing. Recovery first. Drive second.

    8090112K viewsView on X
  • Aug 28, 20262.0x their median

    “Motivate yourself” is bad advice. You do not install motivation in a person. You build the conditions, and it shows up. Pay fairly. Give some control. Make progress visible. Show who the work is for. Feeling is the output. Conditions are the input.

    7922111K 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 43 interactions against 441K followers, an engagement rate of 0.01%. Measured over 39 original posts, its engagement rate beats 30% of 3,899 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 12K times each, and 0.365% of those impressions turn into an interaction. That is about 2.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. The account's strongest tracked post pulled 306 interactions, about 7.1x its own typical post.

What is Daniel Pink's engagement rate on X?
Daniel Pink (@DanielPink) has an engagement rate of 0.01%, based on the median interactions across 39 original posts from the last 30 days against 440,664 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Daniel Pink sits above the 10th percentile of the 37,701 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 30% of the tracked X accounts closest to it in follower count (3,899 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 15:00 UTC, and Thursday is its busiest day, at roughly 2.2 posts per day across the measured window.

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