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Growth Engineer

A career-spanning roadmap from analytics-curious to mid-level Growth Engineer. The trunk gives you the complete throughline — measurement, experimentation, instrumentation, AARRR systems, monetization, GTM motions, and growth leadership — and clusters let you go deep on specific topics (Bayesian A/B testing, identity resolution, paid attribution, lifecycle email, dark patterns) when they matter.

1 pillars1 courses52 concepts
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What you'll learn

Main Path

The mandatory throughline of this roadmap.

  • Becoming a Growth Engineer (GTM)(52 concepts)
    • What Growth Engineering Actually Is
    • Pirate Metrics — The AARRR Lifecycle
    • North Star Metrics — One Number to Steer By
    • Leading vs Lagging Indicators
    • Vanity vs Actionable Metrics
    • Events, Properties, and Tracking Plans
    • Funnels and Cohorts — The Two Workhorse Analyses
    • Probability and the Central Limit Theorem
    • Hypothesis Testing — Null, P-Values, and Confidence
    • A/B Test Design — Sample Size, Power, MDE
    • Frequentist A/B Testing in Practice
    • Statistical Pitfalls — Peeking, Simpson's, Survivorship
    • The Modern Analytics Data Stack
    • Client-Side and Server-Side Tracking
    • Identity Resolution — Stitching Anonymous to Authenticated
    • Data Warehousing for Growth — Star Schema and Sessions
    • ETL/ELT Pipelines and Reverse ETL
    • Growth Loops vs Funnels
    • SEO Engineering and Programmatic SEO
    • Paid Acquisition Infrastructure
    • Attribution — First-Touch, Last-Touch, Multi-Touch
    • Deep Linking and Cross-Platform Routing
    • The Aha Moment and Activation Metric
    • Onboarding Flow Architecture
    • Friction Reduction in Signup and First-Use
    • Retention Curves and Habit Formation
    • Notification Engineering and Lifecycle Email
    • Churn Prediction and Early Warning
    • Viral Mechanics — K-Factor and Cycle Time
    • Referral Program Architecture
    • Pricing Pages and Plan Comparison
    • Paywalls, Feature Gates, and Metered Limits
    • Billing Integration and Subscription Lifecycle
    • SaaS Business Mechanics — MRR, ARR, NRR
    • Unit Economics — CAC, LTV, Payback Period
    • Product-Market Fit Signals
    • GTM Motions — PLG, SLG, and Hybrid
    • PLG Engineering — Self-Serve and Freemium
    • Product-Qualified Leads (PQLs)
    • Free-to-Paid Conversion Engineering
    • The Modern Martech Stack
    • Customer Data Platforms (CDPs)
    • Customer Lifecycle Engineering
    • Personalization — Rules, Behavior, Recommendations
    • AI-Powered Growth — LLMs and Dynamic Content
    • Real-Time Orchestration and Feature Stores
    • Growth Team Structures and Where You Fit
    • Experiment Prioritization — ICE, RICE, PIE
    • Communicating Growth Results
    • Dark Patterns and Sustainable vs Extractive Growth
    • The Experimentation Flywheel
    • The Growth Engineer's Career

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Frequently asked questions

What does the Growth Engineer roadmap cover?
1 courses broken into 52 bite-size concepts, each taught as an interactive lesson with quizzes and spaced review.
Do I need prior experience to start?
No. The roadmap starts from fundamentals and builds in prerequisite order — each concept unlocks the next, so you're never thrown into material you haven't been prepared for. If you already know the basics, a placement check skips you ahead.
Is the Growth Engineer roadmap free?
You can sign up free and start learning immediately. Mochivia's premium subscription unlocks unlimited daily lessons and the full roadmap depth.

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