Guide
E-Commerce Analytics Guide
Define the store metrics that matter, run a simple reporting cadence, stay humble about attribution, and connect numbers to decisions — not to dashboards for their own sake.
Updated Jul 15, 2026
Analytics is useful when definitions are stable. These pages define conversion rate, AOV, CAC, LTV and related metrics, and show how to use them together instead of in isolation.
Guide
Define the store metrics that matter, run a simple reporting cadence, stay humble about attribution, and connect numbers to decisions — not to dashboards for their own sake.
Updated Jul 15, 2026
Guide
Define the store metrics that matter, run a simple reporting cadence, stay humble about attribution, and connect numbers to decisions — not to dashboards for their own sake.
Updated Jul 15, 2026
A useful store dashboard is small: conversion, AOV, margin, CAC, contribution and fulfillment health. Vanity traffic and session counts do not run the P&L.
4 min read · Jun 11, 2026 · Updated Aug 17, 2026
AOV is revenue divided by orders. Bundles and free-shipping thresholds can raise it, but discounts that crush conversion or contribution are not a win.
4 min read · Apr 23, 2026 · Updated Aug 8, 2026
LTV estimates future contribution from a customer. Simple averages hide cohorts. Use a contribution model and treat precision as a range, not a forecast.
4 min read · Apr 16, 2026 · Updated Aug 6, 2026
Business
Estimate revenue from sessions, conversion rate and average order value.
Business
Calculate conversion rate from sessions or visitors and the number of orders or goals.
Business
Calculate average order value from revenue and number of orders.
Business
Estimate simple LTV from AOV, purchase frequency and gross margin.
Start with conversion rate, average order value and contribution margin. Acquisition metrics only make sense after you know what an order is worth.