Total Return Orders Metric
Essential knowledge
Intended Audience:
Business User
Author:
Holger Lierse
Changed on:
21 May 2026
Overview
Learn about the Total Return Orders Metric in Fluent AnalyticsKey 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.
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
Domain:`return_order`Formula: COUNT(returnOrders) in the status {STATUS_COMPLETE} for specific time periodReference Filter Parameters:`return_order.status`: {STATUS_COMPLETE} Filters the metric to return orders in the selected status(es) (DEFAULT: 'COMPLETE')`return_order.created_date`: Filters the metric to return orders created within the selected time period`return_order.type`: Filters the metric to return orders of specific order types`retailer.ref`: Filters the metric to return orders from the selected retailer
