E-commerce Analytics: Key Metrics and How to Use Them

E-commerce analytics is not just charts — it’s a decision-making tool. It helps you see where you lose revenue, which channels convert best, and what to improve to grow faster. Below are key metrics and practical ways to use them.

1. Sales metrics

• Revenue — total sales for the period.
• Average order value (AOV) — the average purchase size.
• Order count — shows demand dynamics.
• Margin — track profit, not just revenue.

2. Conversion and funnel

• Conversion rate — visitors who place an order.
• Funnel — view → add to cart → checkout → payment.
• Abandoned carts — signal friction or trust issues.

3. Traffic sources

• UTM tags — track performance by campaign.
• CAC — cost per acquired customer.
• ROI by channel — compare revenue vs ad spend.

4. Repeat sales and LTV

• Repeat purchase rate
• LTV — total value over the customer lifecycle.
• Retention

5. Product analytics

• Best sellers
• Zero‑sales products
• Cross‑sell insights

6. Operational metrics

• Order processing speed
• Refund rate
• Order errors

How to implement analytics

1. Pick 5–7 core metrics that matter for your business.
2. Tag all campaigns with UTM parameters.
3. Track the funnel and improve weak steps.
4. Segment customers and build retention flows.
5. Review metrics weekly and act on the data.

How Korzina helps

Korzina provides analytics for sales, sources, products, and orders in one dashboard:

• Sales and conversion reports
• Order source analytics
• Product and category insights
• CRM tools for repeat sales

Start using analytics today. Try Korzina for free.

Conclusion

Analytics is the foundation of growth. Use data not just for reporting, but for action: optimize ads, improve product pages, and increase repeat sales. That’s how e-commerce scales sustainably.