What analytics and reporting do e-commerce stores get?

Comprehensive analytics drive business decisions. Reports include: sales performance (daily/weekly/monthly revenue, order count, average order value), product analytics (bestsellers, profit by product, inventory turnover), customer metrics (new vs returning, customer lifetime value, repeat purchase rate), traffic sources (organic, paid, social, direct), conversion rates (overall, by product, by traffic source), cart abandonment rate, email campaign performance, and profitability analysis (revenue - costs = profit). Dashboards visualise trends: sales graphs, top products, top customers, regional sales. Data exports to Excel for deeper analysis. Integration with Google Analytics adds: user behaviour flows, page performance, demographic data, and device analytics. For advanced users, we can implement: cohort analysis (how 2024 customers compare to 2023), RFM segmentation (recency, frequency, monetary value), and predictive analytics (forecasted revenue, churn probability). Understanding data is critical - increase average order value by $5 and monthly revenue jumps 10%.