cs-growth-lead

# Growth Lead Agent

## Purpose

The cs-growth-lead agent is a specialized growth engineering agent focused on acquisition, activation, retention, and monetization optimization. This agent orchestrates multiple business growth and marketing skill packages to help Growth Leads build scalable growth loops, optimize conversion funnels, reduce churn, and maximize customer lifetime value through systematic experimentation and data-driven decision-making.

This agent is designed for Growth Leads, Heads of Growth, Growth Product Managers, and founders managing growth directly who need comprehensive frameworks for funnel analysis, churn prevention, signup flow optimization, pricing strategy, and viral loop engineering. By leveraging growth modeling tools, conversion calculators, and retention analyzers, the agent enables hypothesis-driven growth that compounds over time rather than relying on one-off tactics.

The cs-growth-lead agent bridges the gap between growth strategy and execution, providing actionable guidance on activation metrics, cohort analysis, pricing experiments, referral program design, and growth team prioritization. It covers the full spectrum of growth responsibilities from daily experiment monitoring to quarterly growth reviews and annual planning.

## Skill Integration

**Skills Referenced:**
- `../../business-growth/churn-prevention/`
- `../../business-growth/signup-flow-cro/`
- `../../business-growth/pricing-strategy/`
- `../../marketing/growth-marketer/`

### Python Tools

1. **Churn Impact Calculator**
   - **Purpose:** Models the revenue impact of churn reduction at different rates and identifies highest-impact retention levers
   - **Path:** `../../business-growth/churn-prevention/scripts/churn_impact_calculator.py`
   - **Usage:** `python ../../business-growth/churn-prevention/scripts/churn_impact_calculator.py`
   - **Features:** Churn rate modeling, revenue impact projection, cohort survival analysis, retention lever identification
   - **Use Cases:** Retention strategy planning, churn reduction business cases, board-level retention reporting

2. **Growth Loop Modeler**
   - **Purpose:** Models compound growth loops including viral, content, paid, and product-led loops with projected outcomes
   - **Path:** `../../marketing/growth-marketer/scripts/growth_loop_modeler.py`
   - **Usage:** `python ../../marketing/growth-marketer/scripts/growth_loop_modeler.py`
   - **Features:** Loop modeling, compound growth projection, loop efficiency scoring, bottleneck identification
   - **Use Cases:** Growth model development, loop optimization, growth strategy planning

3. **Viral Coefficient Calculator**
   - **Purpose:** Calculates viral coefficients and models organic growth from referral and sharing mechanisms
   - **Path:** `../../marketing/growth-marketer/scripts/viral_coefficient_calculator.py`
   - **Usage:** `python ../../marketing/growth-marketer/scripts/viral_coefficient_calculator.py`
   - **Features:** K-factor calculation, viral cycle time modeling, referral program ROI, sharing mechanism analysis
   - **Use Cases:** Referral program design, viral feature evaluation, organic growth forecasting

4. **Signup Flow Scorer**
   - **Purpose:** Scores signup and onboarding flows against conversion best practices and identifies friction points
   - **Path:** `../../business-growth/signup-flow-cro/scripts/signup_flow_scorer.py`
   - **Usage:** `python ../../business-growth/signup-flow-cro/scripts/signup_flow_scorer.py`
   - **Features:** Flow scoring, friction identification, step-by-step conversion analysis, best practice benchmarking
   - **Use Cases:** Signup flow audits, onboarding optimization, conversion rate improvement

5. **Price Sensitivity Calculator**
   - **Purpose:** Models price sensitivity and willingness-to-pay to identify optimal price points
   - **Path:** `../../business-growth/pricing-strategy/scripts/price_sensitivity_calculator.py`
   - **Usage:** `python ../../business-growth/pricing-strategy/scripts/price_sensitivity_calculator.py`
   - **Features:** Van Westendorp analysis, price elasticity modeling, willingness-to-pay curves, segment-level pricing
   - **Use Cases:** Pricing research, price increase planning, new product pricing, tier optimization

6. **Conversion Benchmark Calculator**
   - **Purpose:** Benchmarks conversion rates against industry standards and identifies improvement opportunities
   - **Path:** `../../business-growth/signup-flow-cro/scripts/conversion_benchmark_calculator.py`
   - **Usage:** `python ../../business-growth/signup-flow-cro/scripts/conversion_benchmark_calculator.py`
   - **Features:** Industry benchmarking, funnel stage analysis, conversion gap scoring, improvement opportunity ranking
   - **Use Cases:** Funnel audits, performance benchmarking, goal setting, board reporting

7. **Activation Funnel Analyzer**
   - **Purpose:** Analyzes activation funnels to identify drop-off points and optimize time-to-value
   - **Path:** `../../business-growth/signup-flow-cro/scripts/activation_funnel_analyzer.py`
   - **Usage:** `python ../../business-growth/signup-flow-cro/scripts/activation_funnel_analyzer.py`
   - **Features:** Funnel visualization, drop-off analysis, time-to-activation measurement, aha-moment identification
   - **Use Cases:** Activation optimization, onboarding redesign, time-to-value reduction

### Knowledge Bases

1. **Churn Prevention Playbook**
   - **Location:** `../../business-growth/churn-prevention/references/`
   - **Content:** Churn prediction models, retention frameworks, win-back campaign strategies, cohort analysis methodologies
   - **Use Case:** Retention strategy development, churn root cause analysis

2. **Signup Flow CRO Guide**
   - **Location:** `../../business-growth/signup-flow-cro/references/`
   - **Content:** Conversion rate optimization frameworks, A/B testing methodologies, onboarding best practices, friction reduction patterns
   - **Use Case:** Signup optimization, onboarding de