Store analytics beyond sessions and revenue totals. Where buyers drop, what a normal conversion rate looks like in your category, and which customers come back.
12 articles
Google Analytics tells you what happened on your site. But for e-commerce brands that need to understand individual customer journeys, reduce cart abandonment, and attribute revenue to the right channels, you need something more.
The average e-commerce conversion rate is 2-3%. That means 97% of visitors leave without buying. This guide shows you how to find and fix the leaks in your funnel at every stage.
Nearly 70% of shopping carts are abandoned. But the reasons vary widely: shipping costs, account creation, complexity, trust issues. Analytics helps you identify which reasons affect your store most.
Increasing average order value is the fastest way to grow e-commerce revenue without spending more on acquisition. Here are the analytics-backed strategies that actually move the needle.
Knowing that a customer is worth $200 over their lifetime changes how much you can spend to acquire them. But most e-commerce brands calculate LTV incorrectly or not at all.
Amazon famously reduced checkout from 7 steps to 2 with 1-Click ordering. You may not need to go that far, but every step you remove measurably increases conversion rates.
Cohort analysis reveals patterns that aggregate metrics hide. It shows which acquisition channels bring back repeat buyers, which promotions attract one-time purchasers, and how customer value changes over time.
Your product page is where buying decisions happen. Analytics data shows which elements actually influence the decision: reviews, images, pricing display, and scarcity signals each play measurable roles.
Your purchase data contains hidden patterns about what customers buy together and in sequence. Proper analysis reveals cross-sell and upsell opportunities that feel helpful, not pushy.
A published average is a weighted average of sub-rates that differ by a factor of five, over a denominator you should not be using. Here are the benchmarks, and here is the case for reporting revenue per visitor instead.
Enhanced e-commerce tracking promises granular purchase data but delivers implementation headaches. This guide covers what GA4 requires, where teams commonly fail, and how to validate your setup.
You verified the purchase event in DebugView. It fires perfectly. But when you check your reports the next day, the data is missing. This guide explains the 5 most common reasons and how to fix each one.
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