growing-nrr

Original：🇺🇸 English

Translated

Use when net revenue retention is below 110%, when churn patterns are reactive instead of predictive, when expansion revenue lacks systematic triggers, when onboarding fails to reach activation milestones, or when customer health scoring does not exist. Use when customer base is large enough for patterns (50-500 accounts) but retention is managed manually.

1installs

Sourceamogha-dalvi/marketing_gtm

Added on2026-02-23

NPX Install

npx skill4agent add amogha-dalvi/marketing_gtm growing-nrr

SKILL.md Content

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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.