Читать книгу Habit Machine. AI Product Management - Ар'лан ис'Дрекхэм - Страница 34

When a product stabilizes and retention holds, analytics shifts from validation to efficiency. Growth without unit economics is subsidized decay. The evidence engine keeps expansion honest.

— Track LTV/CAC relentlessly. If acquisition cost exceeds lifetime value, you’re buying churn. Fix retention or pricing before scaling paid channels.

— Measure organic pull and referral loops. Track how many users invite others, where those invites originate, and whether invited cohorts retain at equal or higher rates.

— Monitor virality and retention together. A product that spreads but doesn’t retain creates motion, not compounding value. Growth amplifies what already exists.

Example: Streaming and content platforms don’t just use data for recommendations. They map engagement decay, predict churn triggers, and auto-surface high-retention content formats. The data doesn’t just personalize feeds. It protects habit.

Common mistakes: spending aggressively on acquisition before understanding channel efficiency, ignoring how product changes affect retention, focusing on top-of-funnel volume while a leaky bucket drains the base. Pouring more traffic into a broken loop doesn’t fix the leak.