{"version":"1.2.0","chapters":[{"startTime":0,"endTime":297,"title":"Introduction and welcome to the eCommerce Podcast"},{"startTime":297,"endTime":607,"title":"Jeff's origin story: from computer programmer to data analytics expert"},{"startTime":607,"endTime":799,"title":"Navigating data overwhelm: The car dashboard vs. airplane cockpit analogy"},{"startTime":799,"endTime":901,"title":"The Measurement Marketing Framework: focusing on user journey friction points"},{"startTime":901,"endTime":1057,"title":"Common analytics issues in eCommerce and how to identify your biggest \"leaks\""},{"startTime":1057,"endTime":1184,"title":"Google Analytics 4: Is it worth implementing despite its learning curve?"},{"startTime":1184,"endTime":1345,"title":"Top Google Analytics alternatives: Adobe Analytics and Amplitude"},{"startTime":1345,"endTime":1490,"title":"Analytics investment guidelines: The 1-2% rule for eCommerce businesses"},{"startTime":1490,"endTime":1578,"title":"Options for smaller businesses: DIY analytics vs. hiring consultants"},{"startTime":1578,"endTime":1762,"title":"The future of AI in eCommerce analytics and data interpretation"},{"startTime":1762,"endTime":1861,"title":"The importance of knowing what questions to ask your data"},{"startTime":1861,"endTime":2206,"title":"When to hire a dedicated data analyst for your eCommerce business"},{"startTime":2206,"endTime":2711.4,"title":"The \"anti AB testing\" approach: why smaller eCommerce sites should focus elsewhere"}]}