growth-marketer

Model AARRR funnels, prioritize A/B tests, and forecast viral growth loops.

Updated Jun 27, 2026
One-click install
npx skills add https://github.com/JDMAXilius/Brand-building --skill growth-marketer-jdmaxilius
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: growth-marketer
Source: https://github.com/JDMAXilius/Brand-building/tree/main/skills/growth-marketer
Command: npx skills add https://github.com/JDMAXilius/Brand-building --skill growth-marketer-jdmaxilius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Growth teams often waste resources on low-impact initiatives, struggle to optimize user funnels, and lack a standardized process for measuring the success of growth experiments. This Skill eliminates guesswork by providing a proven, data-driven framework for end-to-end growth marketing, from defining north star metrics to forecasting long-term user and revenue growth.

Core Features & Use Cases

  • AARRR Funnel Optimization: Quantify performance across acquisition, activation, retention, referral, and revenue stages, with industry benchmarks to identify gaps and opportunities.
  • Experiment Design & Prioritization: Build testable hypotheses, calculate statistically significant sample sizes, and rank experiments using ICE or RICE scoring to focus on high-impact work.
  • Viral & Growth Forecasting: Model viral coefficients, product-led growth loops, and content growth loops to predict user trajectories and validate LTV:CAC sustainability.
  • Use Case: For a SaaS product with a 20% activation rate, use this Skill to map the onboarding funnel, design an A/B test for the onboarding flow, and forecast the revenue impact of a 15% activation lift.

Quick Start

Use the growth-marketer skill to analyze my e-commerce product's AARRR funnel, prioritize 3 high-impact retention experiments using RICE scoring, and forecast 12-month user growth with a 0.5 viral K-factor.

Frequently Asked Questions about growth-marketer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize my AARRR funnel to identify user retention and revenue gaps?

AARRR funnel optimization quantifies performance across acquisition, activation, retention, referral, and revenue stages. By applying industry benchmarks, you can identify specific gaps and opportunities to improve overall user growth and conversion rates.

What is the best way to prioritize growth marketing experiments using ICE or RICE scoring?

Prioritizing growth experiments with ICE or RICE scoring involves ranking testable hypotheses based on potential impact, confidence, and ease. This standardized process calculates statistically significant sample sizes to ensure teams focus only on high-impact work.

How do I calculate LTV:CAC sustainability for my SaaS or e-commerce product?

Calculating LTV:CAC sustainability validates whether your customer lifetime value adequately exceeds your customer acquisition costs. This data-driven framework forecasts long-term revenue growth and ensures your digital product's financial model remains viable.

Can I use this workflow to run cohort analysis and A/B testing for a consumer digital product?

Yes, this workflow supports cohort retention analysis and A/B testing for consumer digital products. It provides a standardized process to design high-impact experiments, calculate sample sizes, and quantify activation lifts within your user base.

How do I forecast 12-month user growth with a viral K-factor?

Forecasting 12-month user growth with a viral K-factor involves modeling product-led and content growth loops. This predicts user trajectories by computing the viral coefficient to validate long-term scalability.