AI-Powered Growth Marketing and Experimentation

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AI-Powered Growth Marketing and Experimentation

AI-Powered Growth Marketing and Experimentation

A guided, multi-course journey that builds this skill from the ground up. Work through the chapters in order, or jump to any lesson.

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1The Growth Marketer Role, Cadence, and Core Artifacts 2Funnel Model Selection and Stage Metrics by Motion 3KPI Trees That Drive Decisions 4The Growth Experiment Packet as a Repeatable Workflow 5AI Usage Policy for Marketing Work 6NIST-Style AI Risk Thinking for Marketing Workflows

7ICP vs Persona vs Segment and Practical Segmentation Variables 8AI-Assisted Research Workflow With Triangulation and Citation Notes 9Evidence Table for Pains, Outcomes, Triggers, Objections, and Alternatives 10Positioning Decision From Category Context to Main Alternative 11Claims-and-Proof Inventory and Messaging Safety Boundaries 12Uncertainty to Testable Assumption for Future Experiments

13Build a Messaging Hierarchy From Positioning 14Create a Reusable Creative Brief Template That AI Can Follow 15Generate and Edit a Controlled Set of Headline/Subhead/CTA Variants for a Landing Hero Section 16Generate Paid Ad Copy Variants (Search-Style and Social-Style) With Policy-Sensitive Checks 17Generate Lifecycle Message Variants With Segmentation Rules Derived From ICP and Lifecycle Stage 18Compile a Prompt Library Section for Messaging Work: System Prompt, Evaluation Checklist, and a ‘Human Approval Required’ Gate

19GA4-Style Event Thinking: Events, Parameters, Users, and Sessions 20UTM Conventions and Campaign Taxonomy That Survive Scale 21Funnel-to-Event and Conversion Mapping With Guardrails 22Tags, Pixels, and Conversion APIs: How Signals Reach Tools 23Tracking Plan v1: Event List, Parameters, Conversions, Owners, and QA 24Privacy, Consent Awareness, and Data Minimization in Measurement Design

25From Uncertainty to Testable Hypotheses With Metrics and Guardrails 26CRO Diagnostic for the Biggest Leak on a Conversion Surface 27Meaningfully Different Variants Tied to Objections and Outcomes 28A/B Testing Judgment: Sample Size, Significance, and Common False Wins 29A Prioritized Experiment Backlog With ICE or RICE and Instrumentation Dependencies 30The Growth Experiment Packet Writeup and Learning Log Update

31Funnel-Stage Channel Plan and Bet Allocation 32Paid Acquisition Packets for Search and Social 33Lifecycle Program Map, Segmentation, and Consent-Aware Experiments 34Intent-Led SEO Briefs and AI Draft-Review Workflow 35PLG Loop Hypothesis and Product Touchpoint Instrumentation 36KPI-Tree Dashboard Spec, Weekly Narrative, and Decision Log 37Attribution Sensemaking for Stakeholders 38Growth Ops: CRM Stages, Handoffs, and AI Workflow Governance

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