Weekly Report · Updated October 9, 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: October 8, 2026

31.5%
Avg Open (Email Wk)
+22
Real New (Sep 29–Oct 6)
22
Unsubs (Sep 29–Oct 6)
80.3%
1-Wk Survival
01 · This Period's Emails

Every email vs. its category baseline

Last two weeks shown (Sep 25 – Oct 8), so recent still-accumulating sends don't shrink the table. Baselines are the trailing 90 days, full-list sends only: apply 32.1% open / 0.12% click · product 33.0% / 0.44% · content 32.1% / 2.55%. Deltas are against the email's own category.

DateSubjectTypeOpenΔ OpenClickΔ ClickUnsubs
Sep 25Why You Haven't Met Anyone In 2 Yearsapply32.4%+0.30.08%−0.046
Sep 26I may have done you a disserviceapply30.9%−1.20.13%+0.015
Sep 27Why it’s fine to disengage with datingapply30.5%−1.70.05%−0.077
Sep 28Guys Who Get You Laidapply32.0%−0.10.08%−0.046
Sep 29Getting Your Cheerleaderapply31.7%−0.40.06%−0.069
Sep 30Get more dates with this riskless approachcontent32.3%+0.22.37%−0.189
Oct 1God help the morons on Instagramcontent31.3%−0.81.85%−0.704
Oct 2“Insane” tactic that saved him yearsapply30.6%−1.60.08%−0.046
Oct 3Getting past being a Flat Eartherapply32.0%−0.10.05%−0.074
Oct 4How to tell your wife to shut up (without getting murdered)apply32.3%+0.20.06%−0.062
Oct 5How to Ruin Your Life By Pretending to be a Good Personcontent32.5%+0.42.73%+0.183
Oct 6Making Western marriage work when the odds are against youcontent30.1%−2.01.39%−1.166
Oct 7What we can learn from this 29 y.o. hottie *apply29.7%—0.08%—3
Oct 8How to beat her list of non-negotiables in a man *——————
* = 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 are fine — last week's alarm was premature scoring, retracted Correction
Last week this page flagged "every scored send below baseline." The matured data says otherwise: the Sep 26 – Oct 1 sends gained 1–2 points as opens accumulated (the scary 23.8% Oct 1 send landed at 31.3%), September closed at 32.0%, and this week's scored sends run 30.1–32.5% with a 31.5% average — the normal band of the gentle long-term slide. The real lesson is methodological: sends were being scored at 1–2 days old, before opens finish. The scoring window is honest now; next week reads the same numbers with less drama. Complaints also went clean: zero across all seven Oct 2–8 sends.
Wk Avg Open31.5%
Sep Final32.0%
Complaints0
Twitter: 19 opt-ins — four straight weeks of growth, and 2 applications submitted Priority
The Twitter pipe climbed again: 5 → 9 → 14 → 19 weekly opt-ins, now carrying ~90% of acquisition, and the biggest intake week since June (the Sep 28 join-cohort is 23 strong and holding 96%). Downstream, the week produced 2 submitted coaching applications (the "Application Submitted" tag) — the first submissions visible in the weekly diffs in over a month, arriving despite apply click-rates staying soft. The funnel is working end-to-end again: X → list → application. Whatever changed upstream on X in September, it's compounding — worth one line from Will on what he's been doing differently so it can be named and repeated.
Twitter Opt-ins19
4-Wk Trend5→9→14→19
Applications2
Content engine on a heater; apply clicks flat on the floor Content
Four content sends in the window all pulled: the Oct 5 evergreen-blog send did 173 clicks (2.73%, above baseline — the second blog monster in a month), the Sep 30 video matured to 150 (2.37%), the Oct 1 Instagram pointer took 117 (1.85%), and Oct 6's video 88 (1.39%). The 2021/2019 blog archive is now a proven well twice over. Meanwhile apply clicks sat at 0.05–0.08% on all four scored apply sends — no at-baseline send this week, and the drought has now dragged the 90-day apply baseline itself down to 0.12%. The clicks aren't the conversions though: see the applications in the item above. The open question is whether apply emails are now working as *priming* (read, not clicked, applied later via X or memory) — the GA4 application funnel would answer exactly this once its exports start flowing.
Blog Send173 (2.73%)
Apply Range0.05–0.08%
Apply Baseline0.12%
03 · Unsub Watch

What cost subscribers

Highest unsub rates of the last month (Sep 9 – Oct 8, full-list sends). Still a quiet board — nothing over 0.17%. Two matured sends from the Sep 29–30 pair joined mid-board; nothing from October has registered above 0.09%.

EmailTypeDateUnsub RateLost
hey. can we talk later?productSep 80.17%11
Get more dates with this riskless approachcontentSep 300.14%9
Getting Your CheerleaderapplySep 290.14%9
MK Ultra’ed Into Being UndateableproductSep 190.13%8
Why Your Woman Stops Wanting SexcontentSep 110.13%8
The Secret to Pitching Her Infinite ChildrencontentSep 100.13%8
Quiet week on both fronts: the highest October unsub rate so far is 0.09%, and complaints went clean — zero across all seven Oct 2–8 sends (the three 1s flagged last week stayed isolated; the matured window total for late September was 3). The rule stands: any single send at 2+ complaints, pause and investigate before the next send. Flag any single send over ~0.2% unsubs.
04 · List Health

Subscriber flow: September 29 → October 6

Growth — the best acquisition week since June
22 real new subscribers — 19 from Twitter organic (the fourth straight climb: 5 → 9 → 14 → 19) and 2 from the home page, zero bots. Churn matched it exactly, so net real is 0 — but the composition is the story: intake this strong hasn't happened since the June paid spike, and this is organic. If the X climb holds even flat at ~19, the list flips structurally positive the next quiet-churn week.
Real New+22
Twitter Organic19
Net Real0
Bot-Filled0
Churn — back to the normal band, and it flipped OLD
22 unsubs ≈ 0.34%/week — normal band after two record-low weeks. The tenure profile inverted from the recent pattern: 55% of leavers had been on the list 2+ years (median tenure 41 months — the oldest churn cohort recorded on this page). That's a veteran flush, not the young-cohort leak — long-dormant 2023–24 subscribers finally hitting unsubscribe, which costs engaged-rate nothing. Two people re-subscribed.
Churn Rate0.34%/wk
2+ Yr Leavers55%
Median Tenure41 mo
Intent — 2 applications submitted
The coaching side delivered: 2 "Application Submitted" tags this window — the conversion metric that pays. First-time application-page clickers (tag adds — counts each subscriber only the FIRST time they ever click an application link, so it undercounts total clicks): 7. First-time Masterclass-page clickers: 2. Real page traffic lands with the GA4 application funnel once its exports flow.
Applications2
New App-Page Clickers7
New MC-Page Clickers2
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 an ~80% chance of surviving their first week (323 of 402 measurable). 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%

Measurable subscribers in parentheses. Jun 29, Jul 27, and Sep 28 cohorts omitted (too few measurable at ~1 week yet; Sep 28 — the biggest intake since June at 23 — gets its real reading next week). Only cohorts that joined within snapshot coverage (Jun 2 onward) can be measured at ~1 week; earlier cohorts appear in the retention-to-date chart below. The Jun 1 paid-spike cohort (75%) and Sep 14 (75%) share the low-water mark; the new Sep 21 bar lands at 82%.

Retention to date, by join-week cohort (as of Oct 6)

Apr 6 (74)
68%
Apr 13 (45)
73%
Apr 20 (25)
68%
Apr 27 (43)
93%
May 4 (25)
64%
May 11 (21)
71%
May 18 (15)
60%
May 25 (34)
56%
Jun 1 (149)
59%
Jun 8 (42)
79%
Jun 15 (26)
69%
Jun 22 (28)
64%
Jul 6 (15)
73%
Jul 13 (23)
74%
Jul 20 (15)
73%
Aug 3 (20)
70%
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)
82%
Sep 28 (23)
96%

Cohort size in parentheses. Jun 29 and Jul 27 cohorts omitted (under 10 subscribers). Each cohort's bar updates with every new snapshot, turning this into a survival curve. Mixed week: the September cohorts kept settling (Sep 14: 75 → 70%, Sep 21: 100 → 82%) while Aug 24 recovered 65 → 71% (re-subscribes are real) and the veteran flush hit pre-coverage cohorts instead. The fresh Sep 28 cohort — 23 joined, the biggest intake since June — opens at 96%.

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%

% of each join-week cohort carrying the "Downloaded Self-Audit" tag as of Oct 6. The tag went live ~Jul 19, and the step-change is visible: cohorts joining before it ran 0–13%, while the Jul 27 and Aug 3 cohorts download at 50–67% — the self-audit is now in the new-subscriber path, and when it's actually in front of new opt-ins, roughly half take it. (Jul 27 is a 6-person cohort; the Aug 3 read — 10 of 20 — is the solid one.)

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%

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
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. Jul 28 – Aug 4 remains the summer's worst churn week; the Aug 25 – Sep 1 spike (0.45%, the heavy-email flush) normalized the following week. Three weeks at breakeven or better (+4, −1, 0) — the August bleed has stopped, and this week's zero came on the strongest organic intake since June (+22). The Twitter climb (5 → 9 → 14 → 19) is now the single most important number on this page: if it holds, growth flips structural. This week's churn was a veteran flush (55% of leavers 2+ years tenured), not the young-cohort leak.
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 2 – Oct 8)Last 4 weeks (Sep 11 – Oct 8)
Light1 of 7 (14%)6 of 26 (23%)
Medium6 of 7 (86%)19 of 26 (73%)
Heavy0 of 7 (0%)1 of 26 (4%)
Selling strategyLast week (Oct 2 – Oct 8)Last 4 weeks (Sep 11 – Oct 8)
Proof1 of 7 (14%)3 of 26 (12%)
Insight6 of 7 (86%)20 of 26 (77%)
Tension0 of 7 (0%)3 of 26 (12%)
Read: Light missed the watch again: 1 of 7 (the Oct 4 "without getting murdered" subject is clearly the lighter-writing attempt — but one isn't two), now two straight weeks under target. The structural flag has hardened: tension is at 0 for the second week and just 12% over the month, while insight runs 77% — a month ago the 4-week split was 50/31. One proof send returned (the "Insane tactic" client-result email). Caveat: 6 of 7 sends classified from subject + CTA only again — that's 16 of the last 21 sends blind; the _intake/ finals drop is the fix. 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

* Oct 7–8 captured under 3 days old — provisional (Oct 8 was scraped before any stats registered; its numbers and category land next week). Correction from last week: the "every scored send below baseline" alarm was mostly premature scoring — the Sep 26 – Oct 1 sends matured UP 1–2 points (Oct 1: 23.8% → 31.3%, Sep 27: 29.6% → 30.5%), and September closed at 32.0%, not 31.8%. Lesson absorbed: sends get scored too early at 1–2 days old; treat sub-baseline reads inside the provisional shadow as noise. This week's scored sends run 30.1–32.5% — normal band. Daily cadence held perfectly: 14 sends in 14 days, no skips.
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.