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Patrick Lencioni engagement report

@patricklencioni - 62K followers on X

Measured over 6 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Per follower
0.026%
of 62K followers
Per impression
0.791%
2.1K views on a typical post
Reach
3.34%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.24%
5 bookmarks on a typical post
Posting rate
0.2/day
active 20% of days
Peak time
01:00 UTC
Thursday

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 16 interactions against 62K followers, an engagement rate of 0.026%. Posts are seen about 2.1K times each, and 0.791% of those impressions turn into an interaction. That is about 3.34% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 6 posts sampled, 83% carry an image or video and 67% link out. The account's strongest tracked post pulled 128 interactions, about 8.0x its own typical post. 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 27, 2026.

Where this sits in the catalog

At 0.026%, Patrick Lencioni sits above the 25th percentile of the 201,225 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.141%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,225 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,900 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 01:00 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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 video83% of posts+111%+108% to +115%34K
Outbound link67% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 83% 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 398 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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 25, 20268.0x their median

    One of the biggest mistakes managers make is one I've made many times myself. We see one of our people doing something wrong, and we don't call it out. It's uncomfortable, so we wimp out and tell others close to us instead. The pressure builds, and eventually we lose it on them, ding them in a review out of left field, or let them go. All of it feels unfair, because it is. They never knew. Letting people know when something needs to change is one of a leader's biggest responsibilities, and it gives the other person much dignity. There is no better way to handle it.

    101147616K viewsView on X
  • May 8, 20266.9x their median

    A team that never argues isn't aligned. It's avoiding the topics that really matter. The healthiest teams I've worked with debate hard, then leave the room on the same page. Not because they had to agree, but because they trusted each other enough to actually disagree. https://t.co/FK3vu2fGmE

    9116127.6K viewsView on X
  • Apr 29, 20266.3x their median

    Most people shouldn't be leaders. Not because they aren't capable — because they're chasing the wrong things. Real leadership is responsibility. Sacrifice. Suffering for others. The question is not "should I be a leader?" It's "how much am I willing to suffer for others?" https://t.co/mpYrGX0AKL

    7419616.2K viewsView on X
  • May 1, 20265.6x their median

    The term "servant leadership" implies there is another kind of leadership. There isn't. Every leader has to be a servant for the people they lead. Drop the qualifier. Just call it leadership. https://t.co/cXZlQ20n6V

    6815434.9K viewsView on X
  • May 4, 20265.5x their median

    There are a lot of ways to build a team. But there are really only five ways to destroy one. A lack of trust. A fear of conflict. No real commitment. The unwillingness to hold each other accountable. And an inattention to collective results. Get those five right, and almost everything else takes care of itself. If your team is feeling stuck, this is where you should start. Check out my book The Five Dysfunctions of a Team to learn more.

    6715607.5K viewsView on X
  • Sep 12, 20265.1x their median

    Twenty-five years ago today I finished writing my book The Five Dysfunctions of a Team, mere hours after the tragedy that we now call 9/11. I thought it might be a good idea to republish the short commentary I included at the end of that book that day, which was a tribute to the teamwork that brought ordinary people to do extraordinary things to save the lives of strangers, even at the expense of their own lives. May God bless those brave men and women, and may He bless their families.

    755202.8K viewsView on X
  • May 15, 20264.5x their median

    One of the most underrated forces in team culture is peer pressure. I know, the phrase has some baggage. But on a healthy team, it's one of the most powerful tools you have. Teammates notice each other's work, they cheer for each other, and they care enough to say, "I know you can do better." If you want to go deeper into this, I'd encourage you to pick up The Five Dysfunctions of a Team.

    636217.6K viewsView on X
  • Sep 2, 20263.6x their median

    Team #1. The team you're on comes before the team you lead. Get that order right and everything below it gets healthier. More in The Advantage: https://t.co/vG0PVqNlKv https://t.co/QHR7WglS61

    449323.1K viewsView on X
  • May 18, 20263.3x their median

    Recently, someone challenged me to explain every book I've written. 14 of them (and counting)... By the grace of God, these resources have reached millions of people. And the need for organizational health is just as real today as it was on day one. If you have read any of my books, do you have a favorite? (or least favorite?)

    426413.7K viewsView on X
  • Aug 11, 20263.2x their median

    Most teams have one meeting for everything. That's why they hate meetings. These are the different meetings you should be having: The daily check-in. The weekly tactical. The ad hoc strategic. The quarterly offsite. This is the way to be effective and avoid having a meeting stew. If you want to learn how to run these meetings. Checkout Death by Meeting: https://t.co/gLfzRMe5ay

    472025.0K 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 16 interactions against 62K followers, an engagement rate of 0.026%. Posts are seen about 2.1K times each, and 0.791% of those impressions turn into an interaction. That is about 3.34% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 6 posts sampled, 83% carry an image or video and 67% link out. The account's strongest tracked post pulled 128 interactions, about 8.0x its own typical post. 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 Patrick Lencioni's engagement rate on X?
Patrick Lencioni (@patricklencioni) has an engagement rate of 0.026%, based on the median interactions across 6 original posts from the last 30 days against 62,401 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.026%, Patrick Lencioni sits above the 25th percentile of the 201,225 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 @patricklencioni have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @patricklencioni post?
Most posts go out around 01:00 UTC, and Thursday is its busiest day, at roughly 0.2 posts per day across the measured window.

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