Total Return Orders Metric
Essential knowledge
Intended Audience:
Business User
Author:
Holger Lierse
Changed on:
16 Nov 2025
Overview
Learn about the Total Return Orders Metric in Fluent Analytics
Key points
- Return volume affects operational costs and customer satisfaction
- Seasonal patterns are normal for many product categories
- Volume spikes may indicate specific product or process issues
What it measures
Total number of return orders created within the selected time period irrespective of the return order status.
When to use this metric
- Monitor return volume trends and patterns
- Plan return processing capacity and staffing
- Assess the effectiveness of return prevention initiatives
- Compare return volumes across time periods
How to interpret
- Good performance: Return volumes are stable and manageable
- Potential issues: Increasing return volumes may indicate quality or operational issues
- Benchmark guidance: Varies by industry; track trends more than absolute numbers
Technical details
Formula:
COUNT(returnOrders) where status = {STATUS_COMPLETE} for specific time period
Configurable elements:
- STATUS_COMPLETE: Status definitions for complete returns (default: COMPLETE)
Reference Parameters:
`return_order.created_date`: Filters the metric to return orders created within the selected time period`retailer.ref`: Filters the metric to return orders from the selected retailer`return_order.type`: Filters the metric to return orders of specific order types
