Understand why your customers are returning
→ Identify the most returned products
→ Understand why those products are returned
→ Identify which customers are serial returners
→ Reduce Return Rate with Actionable Insights
→ Returns data available in BigQuery
Improve your profit margin by streamlining your processes, products, and return policy.
✅ Identify most exchanged product
✅ Collect product feedback from your customers
✅ Understand the financial impact of returns and exchanges
Customers often return items because they were not satisfied with the product. Examining these returns can give businesses a lot of insight into what their customers want.
Returns by region
Understand how returns affect customer lifetime value
Return analytics provides data-driven insights to help eCommerce businesses make decisions about return policies, product mix, and ways to increase revenue. By understanding returns by region, revenue lost to returns, and return rate, you can pinpoint the root causes of returns and develop more effective long-term strategies.
Revenue Lost to Returns
Cost of Returns
Understand how to reduce return rates
Reviewing and streamlining your operational processes can help reduce return related customer calls.
Understand how many returns are expected to arrive every day and appropriately assign the necessary people to process returns and issue refunds same day.
Real-Time Return Shipping Analytics
Return Status Analysis
Big Query Integration