A proven methodology for identifying, testing, and scaling growth opportunities through structured experimentation and data-driven optimization.
Scaling Growth Through Data-Driven Product Strategy
Growth is part science, part intuition. I've helped startups find their first 1,000 users and helped scale products past millions. The through-line is always the same: deeply understand your customer, then remove every obstacle between them and value.
What I Bring to Growth Product Leadership Roles
Product-Led Growth (PLG) Strategy
Design and implement PLG frameworks that reduce customer acquisition costs while increasing lifetime value. Create self-service experiences that drive organic growth.
- Self-service onboarding and activation flows
- In-product upgrade prompts and value demonstration
- Viral loops and referral program design
- Freemium to premium conversion optimization
Growth Experimentation Frameworks
Establish systematic A/B testing programs, conversion funnel optimization, and rapid experimentation cycles that drive predictable, scalable growth.
- A/B testing infrastructure and statistical rigor
- Conversion funnel analysis and optimization
- Growth hypothesis generation and prioritization
- Rapid experiment design and execution cycles
User Acquisition & Conversion
Optimize acquisition channels and conversion funnels through data-driven insights. Partner with marketing to create seamless experiences that maximize conversion.
- Multi-channel acquisition strategy and optimization
- Landing page and signup flow conversion
- Cohort analysis and user behavior tracking
- Customer acquisition cost (CAC) optimization
Retention & Engagement Optimization
Design features and experiences that drive long-term user engagement and reduce churn. Implement behavioral analytics to identify retention levers.
- Onboarding experience and time-to-value optimization
- Feature adoption and engagement tracking
- Churn prediction and intervention strategies
- Lifecycle email and in-app messaging campaigns
Monetization & Pricing Strategy
Develop and optimize pricing models, subscription tiers, and revenue mechanisms. Balance user growth with revenue generation through strategic experimentation.
- Pricing model design and optimization
- Subscription tier structure and feature gating
- Revenue per user (ARPU) growth strategies
- Payment flow and billing optimization
Data-Driven Growth Analytics
Establish comprehensive analytics infrastructure, growth metrics frameworks, and data-driven decision-making processes that guide continuous optimization.
- Growth metrics dashboard and KPI tracking
- Customer journey mapping and analysis
- Cohort analysis and lifetime value modeling
- Growth attribution and channel performance
Growth Challenges I Solve
Growth Has Stalled
User acquisition has plateaued, conversion rates are declining, or customer acquisition costs have become unsustainable. Need systematic approach to re-accelerate growth.
Product-Market Fit Questions
Uncertainty about whether the product truly fits market needs. Need to validate product-market fit through systematic customer discovery and data analysis.
Monetization Strategy Unclear
Struggling to convert user growth into sustainable revenue. Need to design and implement effective monetization strategies without harming user experience.
Retention and Churn Issues
Users sign up but don't stick around. High churn rates are undermining growth investments. Need to improve onboarding and long-term engagement.
Scaling Growth Operations
Growth team lacks structure, processes, or leadership. Need to build systematic growth capabilities and establish sustainable growth practices.
Data-Driven Culture Missing
Growth decisions are based on intuition rather than data. Need to establish analytics infrastructure and evidence-based decision-making processes.
My Systematic Approach to Growth
Growth Audit
Analyze current metrics, identify bottlenecks, and map the customer journey to uncover optimization opportunities.
Hypothesis Generation
Develop prioritized growth hypotheses based on data insights, user research, and competitive analysis.
Rapid Experimentation
Design and execute A/B tests and experiments with statistical rigor to validate growth opportunities.
Scale & Optimize
Implement winning experiments at scale while continuously monitoring and optimizing for sustained growth.
Systematic Learning
Document insights, build growth playbooks, and establish repeatable processes for ongoing optimization.