Weekly Report · Updated November 6, 2026

Email Performance Analysis

Every daily email compared against its own category baseline — apply (coaching), product (Masterclass / Tackling Texting), and content (podcast / video / posts) — plus list growth, churn, and application/intent signals from the weekly BerserkerMail export.

Data cutoff: November 5, 2026

28.1%
Avg Open (Email Wk)
+195
Real New (Oct 6–Nov 3, 28d)
82
Unsubs (Oct 6–Nov 3, 28d)
77.4%
1-Wk Survival
01 · This Period's Emails

Every email vs. its category baseline

Last two weeks shown (Oct 23 – Nov 5), so recent still-accumulating sends don't shrink the table. Baselines are the trailing 90 days, full-list sends only: apply 32.0% open / 0.10% click · product 32.5% / 0.27% · content 31.3% / 2.08%. Deltas are against the email's own category. (This is a four-week catch-up report — Oct 9–22 sends are scored in the baselines and in the Standouts below but not listed here.)

DateSubjectTypeOpenΔ OpenClickΔ ClickUnsubs
Oct 23Change Your Life With Basic Advice You’ve Heard Dozens of Timesapply32.0%+0.00.06%−0.048
Oct 24“Do you know any good guys?”apply32.1%+0.10.05%−0.056
Oct 26Replacing Rare Chemistry After a Breakupapply32.0%+0.10.06%−0.046
Oct 27Going Dutchapply32.8%+0.80.09%−0.013
Oct 28Ever Googled this at 2am?apply30.7%−1.20.06%−0.044
Oct 29Sweet, sweet releaseapply30.2%−1.70.06%−0.044
Oct 30The Coward’s Exitapply31.3%−0.70.03%−0.071
Oct 31How to avoid letting the dark side of women ruin youapply31.2%−0.80.06%−0.044
Nov 1Applying the 3 Pillars of Attraction to Halloweenproduct29.6%−2.90.14%−0.132
Nov 2Is dominating women for simps?content19.6%−11.71.33%−0.753
Nov 3Using the Birds to get girlsproduct28.9%−3.60.11%−0.166
Nov 4Defending this spicy latina *apply29.1%—0.06%—0
Nov 52 warring perspectives on how to fix a sexless marriage *content25.0%—0.68%—12
* = provisional (captured under 3 days old, stats still maturing) — full notes and this week’s corrections are at the bottom of the page.
02 · Standouts

Emails that beat their category

Opens stepped down 4 points in one week — the filter-hit signature, not the slow drift Deliverability
The 19 scored sends from Oct 9–29 averaged 32.2%, right on the long-run band (best: "Shane Gillis Was Right" 34.2%, "What Caleb Hammer teaches you about self-esteem" 33.3%). Then the floor moved: the five scored sends from Oct 30 – Nov 3 average 28.1%, and the two provisional sends behind them (29.1%, 25.0%) are holding the lower level rather than maturing back up. The Nov 2 Sunday video send is the outlier at 19.6% — 12 points under the content baseline — yet it took 85 clicks, so the people who saw it engaged normally; it looks like fewer inboxes showed it. One complaint registered on Nov 5 (the first since Oct 9). Two confounders to rule out before calling it a filter hit: the recipient count jumped from 6,374 to 6,483 between Nov 3 and Nov 5 (new, unengaged names dilute opens), and three of the five low sends were product/content, which open a touch lower. Next week's matured read decides it — but this is the step-down pattern the runbook says to flag, so: run the Google Postmaster spot-check now rather than wait.
Oct 9–29 Avg32.2%
Oct 30–Nov 3 Avg28.1%
Nov 2 Send19.6%
Complaints1
Twitter held at ~20/week for a month; a 79-person batch landed on Oct 8 from somewhere else Priority
Twitter organic delivered 79 opt-ins across the 28 days — about 20 a week, which means the September climb (5 → 9 → 14 → 19) held its new level instead of fading. These are good subscribers: 56% have downloaded the Self-Audit and 76% are still here. The bigger number is stranger: 113 "Home Page Opt-In" subscribers, 79 of them created on Oct 8 alone. That batch doesn't behave like the Twitter pipe — only 15% took the Self-Audit, and 31% of the Oct 5–11 cohort has already unsubscribed or been suppressed (35 of 116), the worst four-week read since the June paid spike. The shape (one day, one form, low engagement) reads like an import or a traffic burst that bypassed the normal opt-in path. Will: what happened on Oct 8? Until it's named, the page treats it as a separate cohort rather than organic growth.
Twitter Opt-ins (28d)79
Oct 8 Batch79
Batch Gone Already31%
Twitter Self-Audit56%
Masterclass week found clicks; the apply drought is now 15 sends deep Clicks
The Oct 16–19 Masterclass run produced the period's only above-baseline click rates: "Feel it in your balls" 24 clicks (0.38%) and "Shane Gillis Was Right" 23 (0.36%) against a 0.27% product baseline — the testimonial-led and the culture-moment emails, respectively. "3 Words Killing Your Marriage" (14, 0.22%) and the Halloween Persona send (9, 0.14%) didn't. Content ran below its own bar: the Oct 20 video took 97 (1.52%) and Nov 2's 85 (1.33%) vs a 2.08% baseline that the Oct 5 blog send keeps high (it matured to 192 clicks, 3.04%). And apply: fifteen apply sends, best result 6 clicks (0.09%), none at the 0.10% baseline. Downstream, 2 applications were submitted in the 28 days — versus 2 in the single week before this window — so the priming theory from last report (read now, apply later) didn't get support this month.
Best Product0.38%
Blog Send (matured)192 (3.04%)
Apply Range0.03–0.09%
Applications (28d)2
03 · Unsub Watch

What cost subscribers

Highest unsub rates of the last month (Oct 6 – Nov 5, full-list sends). Busier board than last month: the Oct 9 send is the first over the 0.2% flag line since the summer, and six sends sit at 0.16% or higher — four of them in the Oct 18–22 stretch that followed the Masterclass push.

EmailTypeDateUnsub RateLost
Great prompts that will get you laid!applyOct 90.23%15
2 warring perspectives on how to fix a sexless marriage *contentNov 50.19%12
The 4 Filters That Keep Bad Women OutapplyOct 220.17%11
Advanced strategy for restarting desire in marriagecontentOct 200.17%11
2 (or 3) ways to tell your brother not to proposeapplyOct 210.16%10
Shane Gillis Was RightproductOct 180.16%10
Two complaints in 26 sends, and both landed on the two sends at the top of this table: "Great prompts that will get you laid!" (15 unsubs, 0.23%, 1 complaint) and the provisional Nov 5 send (12, 0.19%, 1 complaint). That's the second time a "get you laid"-style subject has topped the board. The rule stands: any single send at 2+ complaints, pause and investigate before the next send; flag any single send over ~0.2% unsubs. The Oct 9 send crossed it.
04 · List Health

Subscriber flow: October 6 → November 3 (28 days)

Four weekly snapshots were missed, so this window is one 28-day diff. Per-week figures below are averages across it.

Growth — +195 real new, but 79 of them arrived in one day
195 real new subscribers (3 bots excluded): 113 tagged Home Page Opt-In, 79 Twitter organic, 2 Instagram. Net real after churn is +113, the best 28 days on this page — but see the Oct 8 batch in Standouts before reading that as a trend. Strip the batch out and the organic run-rate is roughly 29 new a week (20 Twitter + ~9 home page), which still clears the ~20/week churn: the list is structurally positive on organic alone for the first time since the page began.
Real New+195
Twitter Organic79
Net Real+113
Bot-Filled3
Churn — normal rate, still skewed old, plus a bounce flush
82 unsubs ≈ 0.32%/week — the normal band, in line with the 0.34% of the prior week. Tenure stayed inverted: 54% of leavers had been on the list 2+ years (median 37.5 months), so this is still the veteran flush rather than the young-cohort leak. Separately, 25 addresses moved to Suppressed (bounces / blocks) in the window, versus 0–2 in a normal week; 13 of them came from the Oct 8 batch, which is another reason to find out what that batch was.
Churn Rate0.32%/wk
2+ Yr Leavers54%
Median Tenure38 mo
Newly Suppressed25
Intent — 2 applications submitted; Masterclass page saw 50 first-time clickers
2 "Application Submitted" tags in 28 days — the conversion metric that pays, and a slower month than the 2-in-one-week before it. First-time clickers (tag adds — counts each subscriber only the FIRST time they ever click that link, so it undercounts total clicks): 22 new application-page clickers and 50 new Masterclass-page clickers, the latter driven by the Oct 15–19 Masterclass run plus the Nov 1 Halloween send. Real page traffic lands with the GA4 funnels once their exports flow.
Applications2
New App-Page Clickers22
New MC-Page Clickers50
06 · Retention Tracker

One-week survival: a new subscriber's chance of still being here 7 days later

The headline metric. For each join-week cohort, we check every subscriber's status at the first snapshot at least 7 days after they joined. Current answer: a new subscriber has a ~77% chance of surviving their first week (465 of 601 measurable) — down from ~80%, and the drop is mostly the Oct 8 batch plus a measurement artifact explained under the chart. This series gains one bar per week as snapshots accumulate.

1-week survival rate by join week

Jun 1 (111)
75%
Jun 8 (42)
90%
Jun 15 (26)
85%
Jun 22 (28)
79%
Jul 6 (15)
80%
Jul 13 (23)
83%
Jul 20 (15)
80%
Aug 3 (20)
80%
Aug 10 (12)
83%
Aug 17 (19)
79%
Aug 24 (17)
76%
Aug 31 (13)
77%
Sep 7 (16)
88%
Sep 14 (20)
75%
Sep 21 (11)
82%
Sep 28 (23)
83%
Oct 5 (113)†
69%
Oct 12 (37)†
70%
Oct 19 (27)†
74%

Measurable subscribers in parentheses. † No snapshot exists between Oct 6 and Nov 3, so the October cohorts are measured at their first available snapshot — 2 to 4 weeks after joining, not 1 — and understate true 1-week survival; they'll stay as-is (the measurement can't be redone), so read them as "retained at ~3 weeks." Jun 29, Jul 27, Oct 26, and Nov 2 cohorts omitted (too few measurable). The Oct 5 bar is the Oct 8 batch: 113 measurable, 69% — the lowest since the Jun 1 paid spike (75%), which it resembles. The Sep 28 Twitter cohort landed its real reading at 83%.

Retention to date, by join-week cohort (as of Nov 3)

Apr 6 (74)
68%
Apr 13 (45)
73%
Apr 20 (25)
60%
Apr 27 (43)
93%
May 4 (25)
64%
May 11 (21)
71%
May 18 (15)
53%
May 25 (34)
53%
Jun 1 (149)
59%
Jun 8 (42)
74%
Jun 15 (26)
69%
Jun 22 (28)
64%
Jul 6 (15)
73%
Jul 13 (23)
74%
Jul 20 (15)
73%
Aug 3 (20)
65%
Aug 10 (12)
83%
Aug 17 (19)
74%
Aug 24 (17)
71%
Aug 31 (13)
69%
Sep 7 (16)
81%
Sep 14 (20)
70%
Sep 21 (11)
73%
Sep 28 (23)
78%
Oct 5 (113)
69%
Oct 12 (37)
70%
Oct 19 (27)
74%
Oct 26 (16)
81%

Cohort size in parentheses. Jun 29, Jul 27, and Nov 2 cohorts omitted (under 10 subscribers). Each cohort's bar updates with every new snapshot, turning this into a survival curve. A month of settling: the Sep 28 cohort came down from its 96% opening read to 78%, Sep 21 from 82 → 73%, Aug 3 from 70 → 65%, and the veteran flush reached the spring cohorts (Apr 20: 68 → 60%, May 18: 60 → 53%). The Oct 5 batch cohort sits at 69% after four weeks — a pace that puts it on the Jun 1 paid-spike curve (59% at 22 weeks), not the organic one.

Self-Audit lead magnet: download rate by join week

Jun 1 (149)
5%
Jun 8 (42)
10%
Jun 15 (26)
4%
Jun 22 (28)
11%
Jul 6 (15)
7%
Jul 13 (23)
0%
Jul 20 (15)
13%
Jul 27 (6)
67%
Aug 3 (20)
50%
Aug 10 (12)
42%
Aug 17 (19)
26%
Aug 24 (17)
35%
Aug 31 (13)
46%
Sep 7 (16)
38%
Sep 14 (20)
45%
Sep 21 (11)
55%
Sep 28 (23)
61%
Oct 5 (113)
15%
Oct 12 (37)
57%
Oct 19 (27)
44%
Oct 26 (16)
56%

% of each join-week cohort carrying the "Downloaded Self-Audit" tag as of Nov 3. The tag went live ~Jul 19; since then organic cohorts download at roughly 45–60%. The Oct 5 bar (15%) is the Oct 8 batch again — those 79 subscribers largely never saw the self-audit step, which is the clearest evidence they didn't come through the normal opt-in path. The three cohorts after it are back in the organic band (57 / 44 / 56%).

List-wide churn rate (% of actives lost per week)

Jun 9–23
0.30%
Jun 23–30
0.29%
Jun 30–Jul 7
0.35%
Jul 7–14
0.32%
Jul 14–28
0.28%
Jul 28–Aug 4
0.47%
Aug 4–11
0.32%
Aug 11–18
0.37%
Aug 18–25
0.28%
Aug 25–Sep 1
0.45%
Sep 1–8
0.35%
Sep 8–15
0.39%
Sep 15–22
0.23%
Sep 22–29
0.26%
Sep 29–Oct 6
0.34%
Oct 6–Nov 3 (28d)
0.32%

Subscriber flow (people per week: gained vs. lost)

WindowReal New / wkUnsubs / wkNet / wk
Jun 9–23 (14d, averaged)+34.5−20+14.5
Jun 23–30+26−19+7
Jun 30–Jul 7+3−23−20
Jul 7–14+23−21+2
Jul 14–28 (14d, averaged)+16.5−18.5−2
Jul 28–Aug 4+4−31−27
Aug 4–11+20−21−1
Aug 11–18+11−24−13
Aug 18–25+26−18+8
Aug 25–Sep 1+16−29−13
Sep 1–8+11−23−12
Sep 8–15+14−25−11
Sep 15–22+19−15+4
Sep 22–29+16−17−1
Sep 29–Oct 6+22−220
Oct 6–Nov 3 (28d, averaged)+48.8−20.5+28.3
Source: email-data/cohort-retention.csv and email-data/weekly-metrics.csv, both recomputed from the committed snapshots each week (scripts: compute-cohort-retention.py, compute-weekly-metrics.py). Cohort retention = still-subscribed ÷ everyone who joined that week (bots excluded). Churn = unsubscribes ÷ actives at window start. Jul 21 snapshot missing, so Jul 14–28 is a fortnight; Oct 13, 20, and 27 snapshots missing, so Oct 6 – Nov 3 is a 28-day window shown as weekly averages. The +48.8/week includes the Oct 8 batch (79 in one day); without it the organic rate is ~29 new/week against ~20 lost — the first sustained structural surplus on this page. Churn held in the normal band (0.32%) and stayed a veteran flush (54% of leavers 2+ years tenured).
07 · Tone & Strategy Mix

What kind of emails went out — and how they sold

Every full-list send is classified on two axes. Tone: light (warm, funny, celebratory), medium (analytical or story-driven with stakes), heavy (dread — divorce, betrayal, loneliness). Selling strategy: proof (testimonials, track record, community, credentials), insight (selling by demonstrating the thinking), tension (analyze the problem deeply, build tension, pitch into it). Splits below: last week vs. the trailing 4 weeks.

ToneLast week (Oct 30 – Nov 5)Last 4 weeks (Oct 9 – Nov 5)
Light2 of 7 (29%)7 of 26 (27%)
Medium5 of 7 (71%)19 of 26 (73%)
Heavy0 of 7 (0%)0 of 26 (0%)
Selling strategyLast week (Oct 30 – Nov 5)Last 4 weeks (Oct 9 – Nov 5)
Proof0 of 7 (0%)3 of 26 (12%)
Insight4 of 7 (57%)16 of 26 (62%)
Tension3 of 7 (43%)7 of 26 (27%)
Read: Light hit the watch line: 2 of 7 (the Halloween Persona send and the Tackling Texting "Birds" email), and 27% over the month — the lighter-writing commitment is showing up. Tension came back: 3 of 7 last week and 27% over four weeks, up from 12% a month ago — the Giff Lasta video promo, the "Birds" principle-tease, and the "Replacing Rare Chemistry" outside-eye lock all sell into a gap. Insight is down to 62% from 77%. Proof went to zero last week (the month's three were "Sweet, sweet release," "Change Your Life With Basic Advice," and "Feel it in your balls"); heavy is at zero for the month. Caveat: the scrape didn't deliver bodies, so 12 of the 26 are classified from subject + CTA only (Oct 9–16, 18, 20, 24, 28, and Nov 2) — the 14 that had finals in the swipe files were classified from full text. Subject-only tends to miscall tension as insight, so the true tension share is likely higher, not lower. Segmented sends (under 1,000 recipients) are excluded from splits. Classifications live in the Tone/Strategy columns of sent-emails.csv.
08 · This Week’s Notes & Corrections

The fine print the * points to

* Nov 4–5 captured under 3 days old — provisional. Four-week catch-up: this report covers Oct 9 – Nov 5 in one pass (no reports ran Oct 16, 23, or 30), so the list diff is a single 28-day window and the October cohorts' "1-week" survival is measured late (see the † note in Retention). Oct 8 "How to beat her list of non-negotiables in a man" still shows no stats in BerserkerMail after four weeks — it is listed as sent to 6,396 but has no opens, clicks, or CTA recorded; most likely it never actually went out. It stays unscored; Will to confirm. Oct 5 "How to Ruin Your Life By Pretending to be a Good Person" matured from 173 to 192 clicks (3.04%) on re-capture. Bodies: the scrape returned stats only, not full email text, so Tone/Strategy for 12 of 26 sends is subject-only (listed in section 07) and no new finals were filed to the swipe files from this run. Cadence: 26 confirmed sends in 28 days — Oct 12 and Oct 25 skipped, Oct 8 unverified.
09 · Method

How this report is built

Categories. Every email is classified by its CTA: apply → patstedman.com/apply (1-on-1 coaching), product → the Masterclass or Tackling Texting sales pages, content → a podcast, video, or post. Comparisons are always within category — a content email's 2% click rate and an apply email's 0.15% are both normal.

Baselines. Trailing 90 days, full-list sends only. All-time averages are inflated by the higher-open era of late 2025.

Excluded outliers. Sends under 1,000 recipients are excluded from all averages — these are segmented sends to buyers, event registrants, or sales-page visitors (e.g., "The Dynamic Man Masterclass is HERE" at 83% open to 249 buyers, the Forbidden Intimacy Deep Dive emails at ~380 registrants, "Your Free Call" to 24 people). They're a different audience, not a signal about copy. The most recent 2 days of sends are shown but not scored, since opens are still accumulating.

Conversion proxy. BerserkerMail doesn't report per-email revenue, and buyer counts aren't reported here (retired 2026-10-09 — too small-n to mean anything weekly). The coaching-side conversion metric is "Application Submitted" tags; product-side signal is intent clicks on the sales pages.