5 Data Mistakes E-commerce Stores Make (And How to Fix Them)

E-commerce stores have access to more data than ever before, but many are making critical mistakes that cost them revenue and growth. Here are the five most common mistakes and how to fix them.

1. Ignoring Customer Lifetime Value

Many e-commerce stores optimize for immediate conversion while ignoring the long-term value of customers. Focus on metrics that matter for long-term growth.

2. Not Tracking Abandoned Carts Properly

Cart abandonment is a goldmine of opportunity. Track it, analyze it, and create targeted campaigns to recover those sales.

3. Poor Inventory Management

Too much inventory ties up capital; too little loses sales. Use data to predict demand and optimize stock levels.

4. Neglecting Post-Purchase Data

What happens after purchase matters. Return rates, repeat purchase behavior, and customer satisfaction all inform future strategies.

5. Analysis Without Action

Data is useless if it doesn't lead to decisions. Implement systems that translate insights into actionable recommendations.