Stephan Spencer engagement report
@sspencer - 101K followers on X
Measured over 11 original posts from a 30-day window, last computed on October 16, 2026.
Engagement
A typical post picks up 1 interaction against 101K followers, an engagement rate of 0.001%. Measured over 11 original posts, its engagement rate beats 3% 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 597 times each, and 0.168% of those impressions turn into an interaction. That is about 0.59% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 11 posts sampled, 55% carry an image or video and 100% link out. The account's strongest tracked post pulled 7 interactions, about 7.0x its own typical post.
Measured over 11 original posts from a 30-day window, last computed on October 16, 2026.
Compared with accounts its own size
Stephan Spencer's engagement rate beats 3% of the tracked X accounts closest to it in follower count (20,444 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 9% 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 0.001%, Stephan Spencer sits below the 10th percentile of the 205,374 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 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.
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 | 55% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 55% 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.
- 100% 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 263 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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 3, 20267.0x their median
"If you're doing AEO, then by definition, you are doing SEO. If your SEO is a train wreck, there is no AEO." SEO veteran @nathangotch (author of AI SEO for Dummies) on why the AI-search panic is mostly rebranding, and what's actually changed. @mktg_speak https://t.co/f0hC5OIshw https://t.co/1lR1VdrKNM
- Jul 20, 20266.0x their median
Learning is still the real bottleneck, even with AI. @ericries on why you can't outsource the hard work, what makes companies incorruptible, & why it's always too early to protect your mission until it's too late. Watch this Marketing Speak episode! https://t.co/1KyGy7iDRE
- Oct 5, 20264.0x their median
A site ranked #1 for every keyword it cared about — and still lost 46% of its traffic to AI overviews. @nathangotch (Rankability) breaks down what's actually different about SEO in the AI era, and what hasn't changed at all. @mktg_speak https://t.co/k6emDram1d
- Sep 9, 20263.0x their median
"You can't outperform an AI using AI." @DavidHenzel(MaxCDN, LTVPlus, Context Engine) on why middle management is disappearing, why he refuses to rely on one AI vendor, and what "AI-first" really means. @mktg_speak https://t.co/aaZPZZcQBy https://t.co/mwy0FIysYO
- May 6, 20263.0x their median
AI is always building a case for or against your brand. Most organizations have no system to manage it. @jessicabowman on the operational side of AI visibility that most brands are completely missing. @mktg_speak https://t.co/0vVb8yB6xK https://t.co/WXAtPYsjYh
- Sep 29, 20262.0x their median
100,000 new songs a week just became a million. Music publisher Benjamin Groff explains how he still finds tomorrow's stars in that noise — and why taste, not algorithms, will matter most in the AI era. Watch now! https://t.co/PIkEkmpZ4h
- Sep 24, 20262.0x their median
"Your network is your net worth." Music publisher Benjamin Groff explains how he still discovers tomorrow's biggest artists before anyone else, and why AI won't replace musicians any more than the drum machine did. New @GetOptimized episode! https://t.co/s3RIWWm2mb https://t.co/5K5vuAY0PN
- Sep 10, 20262.0x their median
"Bone is a full member of the endocrine system." Peter Simonson (Juvent) on why your skeleton isn't just structural, the science behind microimpact therapy, and why walking might be the most underrated biohack there is. @GetOptimized https://t.co/jDirser2P0 https://t.co/rwRbAjDYoa
- Aug 19, 20262.0x their median
What if you could market without marketing? @ScottAdamMartin author of Groundswell, on why meaning beats attention in the AI era. @mktg_speak https://t.co/xwHMu5Ftqv https://t.co/ds8OuTgWp2
- Jul 15, 20262.0x their median
Why do great companies get acquired and then deliberately ruined for profit? @ericries, author of The Lean Startup, cracks the mystery in his new book Incorruptible and shows what enduring companies do differently. Don't miss this @mktg_speak episode! https://t.co/1K0RNVXwSG https://t.co/Hti5uPgwmU
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 1 interaction against 101K followers, an engagement rate of 0.001%. Measured over 11 original posts, its engagement rate beats 3% 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 597 times each, and 0.168% of those impressions turn into an interaction. That is about 0.59% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 11 posts sampled, 55% carry an image or video and 100% link out. The account's strongest tracked post pulled 7 interactions, about 7.0x its own typical post.
- What is Stephan Spencer's engagement rate on X?
- Stephan Spencer (@sspencer) has an engagement rate of 0.001%, based on the median interactions across 11 original posts from the last 30 days against 101,232 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, Stephan Spencer sits below the 10th percentile of the 205,374 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 @sspencer have real engagement?
- Its engagement rate beats 3% 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 @sspencer post?
- Most posts go out around 15:00 UTC, and Thursday is its busiest day, at roughly 0.37 posts per day across the measured window.