domain-ecommerce:ecommerce-analytics

E-commerce conversion funnel analysis tracks user journeys from browsing to purchase, identifying specific bottlenecks where customers drop off. You can segment funnel stages by traffic source to diagnose performance issues and optimize the checkout process.

RFM segmentation analyzes Recency, Frequency, and Monetary scores to group customers, while customer lifetime value (CLV) calculation projects their total revenue contribution. Together, they help tailor marketing efforts and personalize retention strategies.

Yes, understanding statistical significance is required to ensure sound evaluation of A/B test experiments. This prevents inconclusive results and confirms that observed changes in metrics are meaningful rather than caused by random variance.

Yes, cohort analysis tracks distinct customer groups over time to reveal behavioral patterns. By combining it with conversion funnel tracking, you can isolate whether a conversion rate drop stems from a specific checkout bottleneck or a particular user segment.

Accurate revenue attribution requires data warehousing for event tracking. This infrastructure captures user interactions across channels, providing the structured event data needed to map marketing touchpoints to actual online sales.

Use CLV calculations when optimizing long-term profitability rather than just immediate sales. CLV projects total customer revenue over their relationship with your business, enabling data-driven decisions for acquisition spend and retention marketing.