Returns Optimization 101 Episode 10: Optimizing your Returns
What is Returns Optimization? Continuous improvement strategies that use Returns Data to enhance the shopper experience, improve operational efficiency, and grow profits
Power of Returns Data Improve your operational processes Optimize your return rate Shift refunds to exchanges Gather summary insights from return reasons Enhance your website experience Create more value for your shoppers
Start with Good Data: Specific Consistent Actionable Comprehensive Unique Simple
Streamline your Returns Workflow See the quantity of returns at each stage Find out when returns reached each stage Visualize the average amount of time from one point to the next Identify and alleviate bottlenecks in your process
Reality of Returns All you know for sure about a return is that reality did not match expectation
Encouraging Exchanges Prioritize the customer's experience Examine the relationships between return reasons and return types
Consolidated Data Points Return type, return reason, and return comments are different data points of the same observation
Logical Flow of Analyses It can be helpful to start with return rate Then dive into return reasons and comments for actionable insights
Return Rates Vary A lot of factors affect return rate The more benchmarks you incorporate, the better perspective you will have when you take action
Courses of Action You will collect powerful insights that can be used to inform your website, products, or both!
Continual Improvement Returns Optimization involves constant learning and iteration Never stop exploring!
Full Picture in Ecommerce Without returns, we're not seeing the full picture
Related Resources Ecommerce Returns: How to Shopify Returns: 3 Ways to Use Returns Data to Grow Improve Your Ecommerce Your Shopify Store Returns Process
Returns optimization begins here.
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