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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

Bottom 10% for its size
Per follower
0.001%
of 101K followers
Per impression
0.168%
597 views on a typical post
Reach
0.59%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.37/day
active 37% of days
Peak time
15:00 UTC
Thursday

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%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.143%
75th percentile0.678%
90th percentile2.55%
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 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.

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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video55% of posts+111%+108% to +115%34K
Outbound link100% 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

    4030811 viewsView on X
  • 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

    42001.9K viewsView on X
  • 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

    20201.1K viewsView on X
  • 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

    2100588 viewsView on X
  • 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

    2100270 viewsView on X
  • 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

    2000712 viewsView on X
  • 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

    2000524 viewsView on X
  • 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

    1100511 viewsView on X
  • 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

    1100696 viewsView on X
  • 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

    11001.0K 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 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.

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