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Sean Sweeney engagement report

@seandsweeney - 112K followers on X

Measured over 6 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Per follower
0.587%
of 112K followers
Per impression
0.823%
80K views on a typical post
Reach
71.4%
of its followers see a post
Typical post
656
interactions (median)
Saved
0.108%
86 bookmarks on a typical post
Posting rate
1.17/day
active 70% of days
Peak time
14:00 UTC
Monday

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 656 interactions against 112K followers, an engagement rate of 0.587%. Posts are seen about 80K times each, and 0.823% of those impressions turn into an interaction. That is about 71.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 33% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 1.4K interactions, about 2.1x 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 October 10, 2026.

Where this sits in the catalog

At 0.587%, Sean Sweeney sits above the 50th percentile of the 212,656 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.697%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 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 percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.9%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video33% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 33% 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 849 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 28, 20262.1x their median

    Today I saw the future of robotics, and I’m convinced: robots will clean and cook for us and I can’t waaait!! Some people call that a useless luxury. My grandmother thought the same thing about washing machines. The future is cool. Give people their time back and see what they do with it.

    98511820784242K viewsView on X
  • Sep 26, 2026

    We might have this AI proof job thing all backwards. I just had 2 major issues with my sink & disposal today that I would’ve called the plumber on immediately in the past because I’m not handy. Just spent two hours with ChatGPT sharing pictures & I was able to fix both issues.

    7421117422100K viewsView on X
  • Sep 23, 2026

    A few years ago we were designing Akin, a 204-unit apartment building in Minneapolis. I remember obsessing over hundreds of tiny decisions. Where to spend money. Where not to. What people would actually notice and care about. We killed expensive pendant lights and saved ~$50k. Changed the lighting package elsewhere and saved another ~$50k. Then spent some of that money on things I thought would actually make the building better. Better fitness. Better common spaces. Little seating nooks at the entry. Better appliances. Landscaping. Outdoor saunas. A million small things. The goal was never to spend more money than everyone else. It was to spend the same money better. I was on a call about Akin this week and the property manager told us it’s one of the most thoughtful buildings they’ve seen. People love the design and the way the spaces work. It’s also currently 99% occupied. That was really gratifying to hear. Development has been brutally hard the last few years, and I haven’t spent much time thinking about what I actually love about it. This was a nice reminder. I really love making places. And I think one of the most underrated parts of development is that great design doesn’t always have to cost more. Sometimes it’s just caring enough to make 500 small decisions differently.

    7312148683K viewsView on X
  • Oct 5, 2026

    2009. Bear Sterns had failed and the economic world was ending. So was mine. Big debt including credit cards (so stupid), cars and a huge mortgage. Young kids. An economic crisis at the Ashley household. Fear ruled over my wife and me. Trouble sleeping. Did I mention fear? I decided NO MORE. Fear needed to hit the trash can. I attacked the phones for 9 months which generated exceptional business. I was scared for my financial life but also convicted that one person was responsible for my family's financial success. ME. Calls led to meetings and then pitches which led to deals. In a market where nothing was moving, I slugged it out and found business. I closed one of the largest deals of my career in 2012. And with the winnings of the business development assault...we slowly but surely paid down our debt. It took years of discipline and saying "no" to buying more stuff. 2026? Totally debt free including the house. You can keep your 3% mortgage, but I owe the man nothing. I sleep like a baby at night. And I still attack the phones today. Nothing is stopping me! I feel like like a million bucks (and maybe more ;)) And fear is no longer my master. I am. Along with God. Onward!

    452840677K viewsView on X
  • Sep 14, 2026

    One thing X has changed my mind on. Always needing to drive a crappy car. I still 100% believe if you can’t pay cash comfortably for the car, or lease it through the business you own, you have no business driving a nice car. It kills your wealth building. But I’ve come around for others. No shame at all driving a sick ride if you have the net worth to back it up. What net worth? In my opinion until you are worth AT LEAST a couple million you have have no business driving an expensive car. After that, your call. I’ve also changed my mind and will buy my daughter the safest car on the road when she’s 16. Technology and safety have come a long way!

    138146134K viewsView on X
  • Oct 9, 2026

    I was disappointed to miss Reconvene this week. It’s always been one of my favorite opportunities to catch up with people in the industry, exchange ideas, and make new connections. Hope everyone had a great time. Looking forward to getting back to some of these events next year. One thing I’ve learned after nearly two decades in real estate is that you don’t have to have everything figured out yourself. In fact, some of the most valuable moments in my career have come from conversations with people who see the world differently than I do. People who’ve built bigger businesses. People who’ve taken different paths. People who’ve succeeded in areas where I have very little experience. I’ve been having more of those conversations lately, and it’s reminded me just how much knowledge and experience exists within the relationships I’ve built over the years. It’s easy to get so focused on your own projects and problems that you forget to look up and see what everyone else is doing. But sometimes a 30-minute conversation with the right person can be more valuable than weeks of trying to figure something out on your own. One of the best investments you can make in your career is building genuine relationships with interesting, capable people. And then actually maintaining them.

    310604.1K 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 656 interactions against 112K followers, an engagement rate of 0.587%. Posts are seen about 80K times each, and 0.823% of those impressions turn into an interaction. That is about 71.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 33% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 1.4K interactions, about 2.1x 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 Sean Sweeney's engagement rate on X?
Sean Sweeney (@seandsweeney) has an engagement rate of 0.587%, based on the median interactions across 6 original posts from the last 30 days against 111,826 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.587%, Sean Sweeney sits above the 50th percentile of the 212,656 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 @seandsweeney have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @seandsweeney post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 1.17 posts per day across the measured window.

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