Growth & Analytics Navigator
I help founders design a complete growth system — GTM strategy, analytics architecture, and the data foundation to make confident decisions at every stage.Strategy first.
Measurement second.
Execution third.
Growth Analytics Navigator
Challenges
🔥 Top 3 Challenges Founders Face Once Revenue Starts
1️⃣ Growth Feels Real - But Not PredictableRevenue is coming in. But you don’t fully know:
❔ Which channel actually drives quality customers
❔ Which segment is most profitable
❔ Whether growth is repeatable
❔ What levers truly move revenueYou’re growing, but you can’t confidently explain WHY and how to grow faster.
2️⃣ Data Exists - But It’s Not Decision-ReadyYou might have:
⚪ Marketing dashboards
⚪ Product analytics
⚪ Stripe revenue reports
⚪ CRM dataHowever:
🔴 Metrics aren’t aligned
🔴 Definitions conflict
🔴 CAC/LTV isn’t clear
🔴 Retention isn’t properly measured
🔴 No single source of truth existsSo decisions rely on intuition instead of structured data-driven insight.
3️⃣ GTM Strategy isn't Connected to the NumbersFounders often focus on product improvements while in the early phase:🔴 GTM experiments are unstructured
🔴 Pricing changes aren’t modeled
🔴 Customer acquisition isn’t segmented
🔴 Revenue forecasts are guessworkWithout a clear growth model, scaling becomes risky and costly.You don’t just need more analytics. You need a Growth System.
Growth Analytics Navigator
The Approach
I work with you across three phases, always in this order. Strategy before metrics. Metrics before infrastructure. Direction before tools. You get the full picture: GTM clarity AND the analytics to prove what's working.
Phase 1: Clarify Your Growth EngineWe define the foundation of how your business actually grows before touching a single dashboard.:
✅ Your ICP & revenue segments
✅ Core acquisition channels
✅ Conversion funnel structure
✅ Retention & expansion logic
✅ Monetization modelThis turns growth from random activity into a mapped engine.
Phase 2: Design Your Growth Metrics FrameworkWe align your business strategy with the indicators that actually tell you what's working and what's not.✅ North Star metric
✅ Leading vs lagging indicators
✅ CAC, LTV, payback period
✅ Funnel drop-offs identification
✅ Revenue forecasting structureNo vanity metrics. Only decision-driving numbers.
Phase 3: Build the Data FoundationOnly after strategy and metrics are clear do we design the infrastructure to support them.✅ Tracking architecture
✅ KPI dashboards (built for decisions, not reporting)
✅ Experimentation frameworks
✅ Scalable data infrastructure
✅ Hiring plan for your first analytics hireStrategy first. Tools second.
The analytics layer - designed around your strategy.
Data & Analytics
Analytics without strategy is noise. Strategy without analytics is guesswork. Once we've defined your growth model, I design and oversee the full analytics stack using contractors and AI for execution so you get expert-grade delivery without hiring a full data team.
1️⃣ Data Infrastructure & Tracking
A properly instrumented product is the foundation of everything. We design what gets tracked, how, and why before any tool gets installed.✅ Event tracking design
✅ Source of truth setup
✅ Data warehouse architecture
✅ Tool selection
2️⃣ KPI Dashboards & Reporting
Dashboards built to drive decisions, not to impress in board meetings. Each dashboard maps directly to a growth question your team needs answered.✅ Executive dashboards
✅ Channel performance views
✅ Cohort reporting
✅ Weekly rhythm design
3️⃣ Funnel & Conversion Analytics
Where are people dropping off and why? We identify the highest-leverage points in your acquisition and retention funnel with data, not assumptions.✅ Funnel drop-off mapping
✅ Conversion rate analysis
✅ User journey tracking
✅ Segment comparison
4️⃣ Revenue Forecasting & Modeling
Turn historical data into forward-looking confidence. We build forecast models that your leadership team can actually use, grounded in real business assumptions, not spreadsheet fantasy.✅ Revenue scenario modeling
✅ CAC/LTV projections
✅ Growth rate modeling
✅ Headcount planning inputs
5️⃣ Experimentation Frameworks & Hiring
Build a culture of structured testing, not random A/B tests. And when you're ready to hire your first analytics person, I help you define the role, write the brief, and evaluate candidates.✅ Experiment design & prioritization
✅ Statistical significance setup
✅ First analytics hire spec
✅ Onboarding framework