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Returns Analytics for eCommerce Business

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

Returns Analytics for eCommerce Business
Improve product offerings

Improve your product offerings

Benefits of SKU level returns analytics: quickly identify return reasons at the product and variant level, including color, quality, and size. ✅ Adjust sizing chart based on specific product ✅ Review product images ✅ Identify products that need more product reviews ✅ Gather customer feedback of the product fit

Optimize your Business, Increase Profit and Recover Otherwise Lost Revenue

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

Optimize your Business
Increase customer lifetime value

Increase customer lifetime value

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

✅ Return Reason

✅ Understand how returns affect customer lifetime value

Measure financial impact

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

Measure financial impac
Gain actionable insights

Gain actionable insights with Data-Driven Returns Analytics

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