Why most AI marketing builds break
Most AI marketing builds fail because the workflow underneath was never made production-ready.
Insights
Operating notes for lifecycle teams.
No generic growth takes. Working notes on systems, scoring, migrations, and AI layers that survive production.
- AI
- Lifecycle
The trial-to-paid lifecycle gap costs real money
The biggest trial leak is usually the quiet space between first value and paid intent.
- Migrations
ESP migration without breaking your sends
A migration works when the trigger logic, consent rules, and cutover plan are treated as production systems.
- Lifecycle
Behavioral conversion scoring is not lead scoring
Individual-buyer SaaS needs scoring that predicts product value and paid intent, not enterprise handoff rituals.
- Methodology
When to build lifecycle infrastructure
Buy software for stable needs. Build the connective layer when your lifecycle work depends on your product behavior.
Think your lifecycle is leaking?
Book a 30-minute call. One-page scope inside a week if there’s a fit. Clear no if there isn’t.