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Mark C. Crowley engagement report

@MarkCCrowley - 137K followers on X

Measured over 31 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Bottom quarter for its size
Per follower
0.015%
of 137K followers
Per impression
1.28%
1.6K views on a typical post
Reach
1.19%
of its followers see a post
Typical post
21
interactions (median)
Saved
0.061%
1 bookmarks on a typical post
Posting rate
1.37/day
active 33% of days
Peak time
12:00 UTC
Monday

A typical post picks up 21 interactions against 137K followers, an engagement rate of 0.015%. Measured over 31 original posts, its engagement rate beats 23% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.6K times each, and 1.28% of those impressions turn into an interaction. That is about 1.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 31 posts sampled, 42% carry an image or video and 26% link out. The account's strongest tracked post pulled 467 interactions, about 22x its own typical post. Recurring topics include #leadership, #ai, #hr.

Measured over 31 original posts from a 30-day window, last computed on September 28, 2026. Recurring tags: #leadership, #ai, #hr.

Compared with accounts its own size

Mark C. Crowley's engagement rate beats 23% of the tracked X accounts closest to it in follower count (15,519 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 47% 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 0.015%, Mark C. Crowley sits above the 10th percentile of the 156,711 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.5%
Engagement rate as a share of followers, across the 156,711 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,082 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.5%

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 12:00 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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 video42% of posts+111%+108% to +115%34K
Outbound link26% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 42% 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.
  • 26% 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 377 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

  • Sep 22, 202622x their median

    One of the most interesting arguments about the #AI age comes from Anthropic cofounder Jack Clark, who studied literature and creative writing—not computer science in college. His point: As AI makes technical execution easier, the premium may shift to people who can ask the right questions, think critically, connect ideas across disciplines, understand history and human behavior, and see what’s worth pursuing in the first place. In other words, the skills we once dismissed as “soft” may become some of the hardest—and most valuable—skills to replace. All kinds of evidence of this already. #Leadership #HR #SHRM #FutureOfWork #LeadFromTheHeart

    31086561523K viewsView on X
  • Sep 24, 20262.9x their median

    How many leaders would you guess actually create #PsychologicalSafety for their teams? After a decade of books, articles & podcasts on the subject, you'd guess most of us have this figured out by now. McKinsey puts the real number at about 1 in 4. We're not nearly as good at this as we think we are. #Leadership #LeadFromTheHeart #HR #SHRM #WellBeing

    3371923.3K viewsView on X
  • Sep 26, 20262.5x their median

    "Burnout is not a badge of honor, nor is it a personal failing. It is a symptom of a system that treats human energy as an infinite resource." — Dr. Christina Maslach, Professor Psychology Emerita, UC Berkeley #Leadership #WellBeing #HR #LeadFromTheHeart

    3661012.2K viewsView on X
  • Sep 22, 20262.1x their median

    Starbucks is betting $1 billion that people want more than coffee and other drinks. It’s investing in its stores as places for human #connection and community—a striking departure for a company that has increasingly sold drinks transactionally through its app. In a world of digital convenience, it may be that #belonging becomes its most valuable offering #Leadership #WellBeing #HR #Business #LeadFromTheHeart .

    3031112.7K viewsView on X
  • Sep 24, 20261.9x their median

    I've learned to trust it. “#Intuition does not denote something contrary to reason, but something outside of the province of reason.” — Carl Jung #Leadership #HR #SHRM #WellBeing #Management #LeadFromTheHeart

    303511.6K viewsView on X
  • Sep 24, 20261.7x their median

    According to new research from Workday, 37%t of employees who use #AI at work have turned to it for companionship. The effect shows up hardest in Generation Z — twelve times more likely than Generation X to feel completely disconnected from their colleagues. We're introducing tools to make work easier and somehow are only making people feel lonelier. Probably not the plan, but it is the result. No bueno. #Leadership #Technology #FutureOfWork #HR #SHRM #WellBeing

    199711.8K viewsView on X
  • Sep 22, 20261.7x their median

    Jon Clifton, CEO of @Gallup says the media is grossly misrepresenting the percentage of people currently unemployed in the US. The number being reported is around 4% which sounds really good. But "real" unemployment accounts for people who are looking, discouraged, part time wanting full time, and prime working-age adults ages 25 to 54 not working or looking at all. Currently, 12% of Americans fit this description -- not good at all. #Leadership #Work #HR #SHRM #Wellbeing

    234712.5K viewsView on X
  • Sep 24, 2026

    He's not talking about Armageddon like other people -- he's saying #AI is harming kids in terrible ways. Another reminder of how little we know about AI and how quickly we're willing to dive in its pool despite it. Google former VP of #Trust & safety says we need a slowdown in AI development because the tech is already harming children at a scale that’s surpassing the damage wreaked by social media. “The idea that the industry will figure it out by itself without outside help is unrealistic.” #Education #Leadership #Technology #WellBeing

    1721101.6K viewsView on X
  • Sep 24, 2026

    More evidence we're not as effective as leaders as we'd like to believe: According to new PwC data: 86% of executives say they highly trust their employees. Only 60% of employees feel it. Same gap runs the other way too — most executives think employees trust them but only two-thirds of employees actually do. Just as with #PsychologicalSafety, we keep mistaking our intentions for what people experience. #Leadership #LeadFromTheHeart #WellBeing #HR

    154712.2K viewsView on X
  • Sep 26, 2026

    "We simply must be consistently, authentically, unwaveringly tender-hearted with people if we hope to lead effectively." — Doug Conant (Former CEO of Campbell Soup Company) #LeadFromTheHeart #Leadership #FutureOfWork #WellBeing

    175401.5K 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.

Recurring topics

#leadership#ai#hr#leadfromtheheart#wellbeing

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 21 interactions against 137K followers, an engagement rate of 0.015%. Measured over 31 original posts, its engagement rate beats 23% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.6K times each, and 1.28% of those impressions turn into an interaction. That is about 1.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 31 posts sampled, 42% carry an image or video and 26% link out. The account's strongest tracked post pulled 467 interactions, about 22x its own typical post. Recurring topics include #leadership, #ai, #hr.

What is Mark C. Crowley's engagement rate on X?
Mark C. Crowley (@MarkCCrowley) has an engagement rate of 0.015%, based on the median interactions across 31 original posts from the last 30 days against 137,480 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.015%, Mark C. Crowley sits above the 10th percentile of the 156,711 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 @MarkCCrowley have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the bottom quarter for its size 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 @MarkCCrowley post?
Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 1.37 posts per day across the measured window.

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