xiaohongshu
xiaohongshu
faion-growth-marketer
Growth marketing: experiments, analytics, A/B testing, AARRR metrics, retention.
Full skill instructions
Entry point:
/faion-net— invoke this skill for automatic routing to the appropriate domain.
Data-driven growth: experiments, analytics, A/B testing, AARRR metrics, retention strategies, viral loops, referral programs.
Orchestrates growth activities: metrics tracking, experimentation framework, A/B testing, AARRR optimization, retention strategies, viral mechanics, analytics setup.
Check these project signals to understand growth marketing context:
| Signal | Location | What to Look For |
|---|---|---|
| Analytics setup | docs/analytics/, config files | Google Analytics, Plausible, tracking implementation |
| Metrics dashboard | Analytics platform, internal docs | KPIs, North Star metric, AARRR funnel metrics |
| Experiment docs | .aidocs/, docs/experiments/ | A/B tests, MVT tests, experiment results |
| Cohort data | Analytics, retention reports | User cohorts, retention curves, churn rates |
| Growth loops | Product docs, user flows | Viral loops, referral programs, PLG mechanics |
| Conversion funnels | Analytics, funnel reports | Acquisition → Activation → Retention metrics |
| User data | Database schema, analytics | User properties, events, behavioral data |
question: "What's your primary growth focus?"
header: "Growth Focus"
multiSelect: false
options:
- label: "Establish metrics foundation"
description: "AARRR framework, North Star metric, analytics setup"
- label: "Improve activation"
description: "Onboarding optimization, aha moment, time-to-value"
- label: "Increase retention"
description: "Retention strategies, churn prevention, engagement loops"
- label: "Build viral growth"
description: "Viral loops, referral programs, K-factor optimization"
question: "What's your experimentation maturity?"
header: "Experimentation"
multiSelect: false
options:
- label: "No experiments yet"
description: "A/B testing basics, experiment setup, statistical foundations"
- label: "Basic A/B testing"
description: "Advanced testing, MVT, prioritization frameworks"
- label: "Regular experiments"
description: "Optimization tactics, velocity, statistical rigor"
- label: "Advanced program"
description: "Growth loops, sophisticated attribution, scaling experiments"
question: "What metrics do you need to improve?"
header: "Metrics to Optimize"
multiSelect: true
options:
- label: "Acquisition (AARRR)"
description: "Traffic sources, CAC, conversion rates"
- label: "Activation (AARRR)"
description: "Onboarding, aha moment, time-to-value"
- label: "Retention (AARRR)"
description: "Engagement, churn, cohort analysis"
- label: "Revenue (AARRR)"
description: "Monetization, LTV, upsells"
- label: "Referral (AARRR)"
description: "Viral coefficient, K-factor, referral loops"
| Scenario | Methodologies |
|---|---|
| Growth framework | aarrr-pirate-metrics → north-star-metric |
| Activation | activation-framework → activation-tactics → activation-metrics |
| Retention | retention-basics → retention-strategies → ops-churn-prevention |
| Viral growth | viral-loops → growth-viral-loops → growth-referral-programs |
| A/B testing | ab-testing-basics → ab-testing-setup → mvt-basics |
| Analytics setup | google-analytics / plausible-analytics → conversion-tracking |
| Cohort analysis | cohort-basics → cohort-implementation |
| Growth loops | growth-loops → viral-loops |
| Operations | ops-metrics-basics → ops-dashboard-setup → ops-automation-workflow |
| Statistics | statistics-basics → statistics-application |
Growth Marketer v1.0 | 30 Methodologies
xiaohongshu
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