NRR Engine (Net Revenue Retention)

Overview

NRR is the single metric that most reliably predicts SaaS survival and valuation. This skill builds health scoring, onboarding flows, expansion triggers, churn prediction, and community retention that turn your existing customer base into your most efficient growth engine.

When to Use

NRR is below 110% and needs systematic improvement
Customer health scoring does not exist or relies on login frequency
Onboarding is generic and activation rates are low
Expansion revenue is opportunistic, not trigger-based
Churn is detected at renewal time instead of predicted early
Customer feedback is scattered with no synthesis

Don't use when: NRR is above 120% with health scoring, expansion triggers, and predictive churn models already operating.

Quick Reference

| Phase | Duration | Output | |-------|----------|--------| | Customer health scoring model | Week 1 | Health model with signals, weights, thresholds | | Personalized onboarding at scale | Week 2 | Activation milestone map and segmented paths | | Customer feedback synthesis | Week 3 | Monthly synthesis report with prioritized themes | | Automated expansion triggers | Week 3-4 | Trigger definitions, conditions, and routing | | Churn prediction and prevention | Week 4-5 | Cohort analysis, predictive signals, intervention playbooks | | Community as retention moat | Week 5-6 | Community strategy and retention programs |

Core Deliverables

Customer Health Scoring Model -- Multi-signal scoring with thresholds and routing rules
Onboarding Flow Design -- Segmented activation paths with milestone-based intervention triggers
Customer Feedback Synthesis -- Monthly report aggregating all sources into prioritized, revenue-weighted themes
Expansion Trigger Workflows -- Usage, feature, team, milestone, and stakeholder-based triggers tied to health scores
Churn Prediction Model -- Cohort analysis, predictive signals, intervention playbooks, and win-back campaigns
Community Retention Plan -- Ecosystem switching costs through templates, peer connections, and expertise investment

Common Mistakes

Using login frequency as health score (depth and breadth matter, not volume)
Running calendar-based QBRs instead of signal-based outreach
Treating all churn the same (poor-fit churn is healthy; Tier 1 churn is an emergency)
Attempting to upsell unhappy customers (fix health below 70 first)
Single-threading on one champion (one departure away from churn)
Building generic onboarding for all segments
Ignoring churned customers (10-15% will return with the right timing)

Integration

Feeds into: tracking-marketing-metrics, managing-marketing-ops

Refresh: Health model quarterly. Onboarding monthly. Feedback synthesis monthly. Expansion triggers monthly. Churn model quarterly. Full NRR strategy review every 6 months.

See workflow.md for detailed phase-by-phase execution, health scoring templates, onboarding frameworks, expansion triggers, churn prediction models, and community tactics.