Total Return Orders Metric
Essential knowledge
Intended Audience:
Business User
Author:
Holger Lierse
Changed on:
23 Oct 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 completed returns processed for the selected time period.
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 = {COMPLETE_STATUS} for specific time period
Configurable elements:
- COMPLETE_STATUS: Status definitions for complete fulfillments (default: COMPLETE)
