SaaS Growth Stack

Diagnoses SaaS churn root causes through cohort analysis and a seven-category taxonomy, then builds segmented intervention playbooks ranked by frequency, revenue at stake, and addressability - including save-offer economics. Use when someone asks "why is our churn so high", "build a churn reduction plan", "should we offer discounts to cancelling customers", or when NRR/GRR is slipping and the team needs a diagnosis before prescriptions. Do NOT use for gym or fitness-studio member retention - use retention-and-churn-killer instead. Do NOT use for re-acquiring customers who already left - use win-back-campaign instead. Do NOT use for growing existing accounts - use expansion-revenue instead.

Builds a systematic expansion playbook for existing SaaS customers - a catalog of usage triggers (limit approach, new team adoption, milestone hit) with routing rules, outcome-anchored upsell and cross-sell talk tracks, ownership and comp models, and metrics led by net revenue retention. Use when someone asks "how do we grow revenue from existing accounts", "build an upsell playbook", "our NRR is too low", or wants trigger-based expansion instead of reps guessing. Do NOT use for designing tiers and value metrics from scratch - use saas-pricing instead; for stopping customers from leaving, use churn-reduction.

Runs quarterly business reviews that prove delivered value, score account health, and open the expansion and renewal conversation - producing an agenda, a value-delivered slide format, a health-score definition, and an expansion script. Use when someone asks "how do I run a QBR", "prep my quarterly business review", "build a customer health score", "how do I bring up renewal in a QBR", or is preparing an executive business review for a key account. Do NOT use for designing the expansion motion and pricing itself - use expansion-revenue instead - or for rescuing an account already at risk of churning - use churn-reduction instead.

Stands up product analytics from decision questions backward - a north-star metric with an input-metric tree, an object-action event taxonomy with a governed tracking plan, and the priority analyses to build first: activation funnels, cohort retention curves, and feature adoption correlated with retention. Use when someone asks "what events should we track", "set up our analytics taxonomy", "where do users drop off before first value", or "what's our activation moment". Do NOT use for growth-accounting decompositions of MAU changes - use growth-accounting instead - or for deep funnel diagnosis on existing data - use funnel-analysis instead.

Compute CAC, contribution margin, LTV, LTV:CAC, and payback with honest definitions, a runnable calculator, and a verdict on whether each customer makes money. Use when someone asks "what's my CAC", "is my LTV:CAC healthy", "how long is my payback period", "can I afford to spend more on ads", or before scaling acquisition spend. Do NOT use for gym-specific front-end economics and Client-Financed Acquisition - use gym-money-model instead; for multi-year revenue projections and MRR bridges use revenue-modeling; for cohort-level retention and growth diagnosis use growth-accounting.

Designs a SaaS pricing model - the value metric, three-tier packaging with feature gates, list prices, annual discount, and a built-in expansion path targeting net revenue retention - delivered as a pricing page spec. Use when a founder asks "how should we price our SaaS", "per seat or usage-based", "what features go in each tier", or is building or overhauling a pricing page. Do NOT use for pricing strategy outside SaaS packaging - use pricing-strategy instead; for the upsell motion after pricing exists, use expansion-revenue.