Analytics and reporting for ecommerce: track the metrics that matter
Every online store produces a constant stream of data: visits, clicks, baskets, orders, returns and reviews. Analytics turns that data into answers. Which channels bring profitable customers? Where do shoppers drop out? Which products should you promote, reorder or discontinue? Without reliable reporting, decisions are guesswork.
This guide covers the core metrics, the tools you need, how to set up tracking properly and how to build reports your team will actually use.
The core ecommerce metrics
- Sessions and traffic by channel: how many visits you get and where they come from.
- Conversion rate: the share of sessions that end in an order.
- Average order value (AOV): revenue divided by number of orders.
- Revenue and gross profit: by channel, category and product.
- Customer acquisition cost (CAC): marketing spend divided by new customers.
- Customer lifetime value (CLV): the total profit a customer generates over time.
- Repeat purchase rate: the share of customers who buy again.
- Basket and checkout abandonment: where shoppers leave the purchase journey.
- Return rate: by product and reason.
Pick a handful that matter most to your business and track them consistently.
The tools you need
- Web analytics: Google Analytics 4 or a privacy-focused alternative, to track visits, behaviour and conversions.
- Platform reports: your ecommerce platform’s built-in sales, product and customer reports.
- Search data: Google Search Console for organic search performance.
- Advertising dashboards: each ad platform’s reporting, compared against your own data.
- Behaviour tools: heatmaps and session recordings to see how people use pages.
- Business intelligence: tools such as Looker Studio or Power BI to combine data sources as you grow.
Setting up tracking properly
Most reporting problems start with poor tracking. Make sure:
- Ecommerce events, such as product views, add to basket, checkout steps and purchases, fire correctly with accurate revenue.
- Marketing links use consistent UTM parameters so traffic is attributed correctly.
- Internal traffic and test orders are excluded.
- Your cookie consent setup meets UK GDPR and PECR requirements, and your tracking respects visitors’ choices.
- Analytics revenue is checked regularly against your platform’s actual sales.
Building useful reports
A good report answers a question and leads to an action. Create a simple weekly dashboard with headline numbers and trends, and deeper monthly reviews by channel, category and customer group. Compare against the previous period and the same period last year to allow for seasonality.
From insight to action
Use data to prioritise work: fix the checkout step with the highest drop-off, move budget to the channels with the best return, reorder products with strong sell-through and improve pages with high traffic but low conversion. Test changes where you can, rather than relying on opinion.
Common pitfalls
- Chasing traffic instead of profitable sales.
- Trusting a single attribution model or ad platform without checking.
- Tracking too many metrics and acting on none.
- Ignoring data quality until a big decision depends on it.
Analytics underpins every other area. See AI & Automation Tools for automated insights and Digital Advertising & Media Buying for measuring paid campaigns.
Part of: Ecommerce Technology