Stephen J. Caggiano engagement report
@StephenCaggiano - 313K followers on X
Measured over 48 original posts from a 30-day window, last computed on October 15, 2026.
Engagement
A typical post picks up 6 interactions against 313K followers, an engagement rate of 0.002%. Measured over 48 original posts, its engagement rate beats 9% of 20,444 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 1.2K times each, and 0.462% of those impressions turn into an interaction. That is about 0.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 48 posts sampled, 81% carry an image or video and 17% link out. The account's strongest tracked post pulled 18K interactions, about 2976x its own typical post.
Measured over 48 original posts from a 30-day window, last computed on October 15, 2026.
Compared with accounts its own size
Stephen J. Caggiano's engagement rate beats 9% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 25% 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 0.002%, Stephen J. Caggiano sits below the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 04:00 UTC, and Wednesday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 81% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 17% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 81% 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.
- 17% 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 146 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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
- Oct 11, 20262976x their median
The moment you pause it, it disappears, hiding in plain sight~ https://t.co/rG4qSFjqV5
- Sep 8, 2026829x their median
Pets that imitate their owners https://t.co/VQDH9z240f
- Oct 14, 2026687x their median
Is this the MOST RACIST scene in movie history? Some say it could NEVER be made today. Others say it’s one of the funniest scenes Hollywood ever filmed. June Cleaver speaking JIVE in Airplane! (1980). Absolute comedy genius or completely over the line? https://t.co/dt5qPyXhbF
- Sep 4, 2026354x their median
Stray dogs get much needed relief on a very hot day..🐕🐾🌡️🙏❤️ https://t.co/8nV1a6WPss
- Oct 5, 2026330x their median
The vaccine injured are not just a tiny subset whose fate has regrettably been dealt a bad hand. The injured are the injected survivors whose health has been wrecked, a vast population of poisoned people who have no voice because no one wants to admit their existence. We do not know how vast because the entire system – agencies, researchers, monitoring models, industry, so-called medical care – is structured to deny, hide, and bury their stories.
- Sep 14, 2026140x their median
would you? GPT 2.5 Image + Seedance 2.5 prompts below 👇 https://t.co/4sKwMQIq5m
- Oct 9, 2026121x their median
Some people think this is AI~ KatrinMone https://t.co/ZpQH5z79lz
- Oct 7, 2026100x their median
I’m 69. I’m supposed to be thinking about retirement. Instead I’m thinking about what I can build next. AI has complicated the old life script: Learn. Work. Retire. What happens when technology gives you new capabilities at exactly the age society expects you to start surrendering them?
- Jun 14, 202549x their median
https://t.co/Q6fNRho7c3
- Sep 16, 202666x their median
Place sand on a metal plate and vibrate it at a precise frequency, and the grains don’t scatter randomly - they move toward the exact points where the plates star still. Those still points are called nodes, everywhere else the plate is shaking too hard for sand to stay, so grain by grain it gets pushed away until the nodes are covered. Change the frequency, and the pattern of stillness changes with it - a new node, a new pattern.
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 6 interactions against 313K followers, an engagement rate of 0.002%. Measured over 48 original posts, its engagement rate beats 9% of 20,444 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 1.2K times each, and 0.462% of those impressions turn into an interaction. That is about 0.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 48 posts sampled, 81% carry an image or video and 17% link out. The account's strongest tracked post pulled 18K interactions, about 2976x its own typical post.
- What is Stephen J. Caggiano's engagement rate on X?
- Stephen J. Caggiano (@StephenCaggiano) has an engagement rate of 0.002%, based on the median interactions across 48 original posts from the last 30 days against 313,292 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, Stephen J. Caggiano sits below the 10th percentile of the 205,048 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 @StephenCaggiano have real engagement?
- Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% 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 @StephenCaggiano post?
- Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 2.6 posts per day across the measured window.