Data-Driven Decision Making
From the right metrics to a data-backed 90-day plan.
What you will learn in this track
Identify the right metrics, use GA4 as a shop owner, read dashboards correctly, prioritize with ICE and PXL, audit your tracking, build a steady experimentation cadence, and bring it all together in a well-structured Data-Driven Action Plan.
- By the end of this module, you'll run your shop using five key metrics - conversion rate, Average Order Value, revenue per visitor, retention, and LTV:CAC - instead of a hundred, and you'll use the three-step diagnostic flow to find the metric with the biggest gap and, with it, your next lever.
- By the end of this module, you'll be able to check the five required e-commerce events and their parameters in GA4, use a Funnel Exploration to identify your single largest drop-off in absolute numbers, make sense of attribution models, and build audiences for cart abandoners, high-value buyers, and inactive customers.
- After completing this module, you'll be able to read uplift, significance, and confidence intervals correctly from an A/B test dashboard, calculate a conservative revenue impact using the lower interval bound, and decide - based on segments, guardrails, and sample size - whether a variant has truly won.
- After this module, you'll combine quantitative data (the what) with qualitative insights (the why) into testable if-then-because hypotheses, and prioritize your ideas transparently using ICE or PXL in an experiment backlog, rather than by whoever speaks loudest or gut feeling.
- After completing this module, you'll be able to run a structured data audit in five steps - Scope, Event Map, Validation, Gap Documentation, and Roadmap - spot common tracking gaps and data silos, reconcile analytics against your backend, and prioritize findings by business impact in an action plan.
Modules at a glance
The 5 Metrics That Matter
By the end of this module, you'll run your shop using five key metrics - conversion rate, Average Order Value, revenue per visitor, retention, and LTV:CAC - instead of a hundred, and you'll use the three-step diagnostic flow to find the metric with the biggest gap and, with it, your next lever.
GA4 for Shop Owners
By the end of this module, you'll be able to check the five required e-commerce events and their parameters in GA4, use a Funnel Exploration to identify your single largest drop-off in absolute numbers, make sense of attribution models, and build audiences for cart abandoners, high-value buyers, and inactive customers.
Reading Dashboards
After completing this module, you'll be able to read uplift, significance, and confidence intervals correctly from an A/B test dashboard, calculate a conservative revenue impact using the lower interval bound, and decide - based on segments, guardrails, and sample size - whether a variant has truly won.
From Data to Decisions
After this module, you'll combine quantitative data (the what) with qualitative insights (the why) into testable if-then-because hypotheses, and prioritize your ideas transparently using ICE or PXL in an experiment backlog, rather than by whoever speaks loudest or gut feeling.
The Data Audit
After completing this module, you'll be able to run a structured data audit in five steps - Scope, Event Map, Validation, Gap Documentation, and Roadmap - spot common tracking gaps and data silos, reconcile analytics against your backend, and prioritize findings by business impact in an action plan.
Building Experimentation Velocity
By the end of this module, you'll turn occasional tests into a steady weekly rhythm with clear roles, test templates, a launch checklist, and stop rules. You'll document results as a shared knowledge base and extract the learning from losing tests to sharpen the next hypothesis.
Data-Driven Action Plan
By the end of this module, you'll bring your audit, hypotheses, prioritization, and testing cadence together into a ninety-day action plan built around your current state, SMART goals, data-driven actions with owners and KPIs, tests, and a review ritual that keeps the plan alive as new data comes in.
Certificate on completion
Pass all module quizzes and the final exam to receive the "Data-Driven Decision Making" certificate as a PDF.
7 modules to go before the exam.