How companies actually engineer retention
Behavioural autopsies of real products — Notion, Kit, Chowdeck, Glovo, Risevest. Real email captures, trigger logic mapped, and what you can take from their architecture.
Lifecycle intelligence for operators who take retention seriously.
Teardowns of real lifecycle systems, automation architectures you can steal, and operator-level findings you can’t Google. It goes out when there is something worth sending. Free.
Every edition is built for people who run the post-signup revenue layer — the part of the funnel most teams build once and then never watch.
Behavioural autopsies of real products — Notion, Kit, Chowdeck, Glovo, Risevest. Real email captures, trigger logic mapped, and what you can take from their architecture.
Trigger logic patterns, data property design, scan frameworks. The infrastructure behind always-on lifecycle systems — laid out so you can rebuild it yourself.
Anonymised findings from real scans and consulting engagements. What the leak was, what it was costing, and how it was fixed — with the revenue math attached.
Read any of them before you decide whether to subscribe. Nothing here is gated.
Earlier letters — from before this became a lifecycle publication — are still up. Full archive ↗
Before the letter starts arriving, you’ll get a focused course on the retention truths most subscription businesses never see.
The number your board sees is an average. Averages hide the cohorts quietly draining cash.
Most teams treat retention as a campaign problem. It's an infrastructure problem.
A framework for scoring your own retention infrastructure — plus the full PDF with every playbook behind the results.
Includes PDFThe class has its own page. The Cohort Inversion Equation →
The revenue layer most teams ignore is the one that compounds.
Teardowns. Architectures. Operator-level findings.