A practical, step-by-step guide to cohort analysis for e-commerce brands — covering acquisition cohorts, behavioral cohorts, retention curves, LTV projections, and actionable patterns to look for in your data.
Learn how to build a customer health score for your e-commerce brand — from choosing the right input signals and weighting factors to tiering customers and using health scores for proactive retention.
A comprehensive guide to e-commerce unit economics — covering CAC, LTV, LTV:CAC ratio, contribution margin, payback period, and AOV. Learn how to calculate each metric, what benchmarks to target, and the common mistakes that lead to bad decisions.
Compare the best ecommerce analytics tools in 2026 including Finsi, Triple Whale, Lifetimely, Polar Analytics, Northbeam, Peel Insights, and Glew. Find the right fit for your brand size and needs.
Shopify analytics has limits. Learn why built-in reports fall short on LTV analysis, cohort tracking, attribution, and predictive models — and how to build a proper analytics stack.
