ACBUY: How to Track SKU-Level Performance Across Multiple Orders
For e-commerce businesses and inventory managers, understanding product performance at the individual SKU (Stock Keeping Unit) level is crucial for profitability. Tracking aggregated sales data alone isn't enough. To truly optimize your inventory selection, you need a granular view of how each item is performing across its entire lifecycle. This involves monitoring three key metrics: item popularity, QC success rate, and refund frequency.
1. The Three Pillars of SKU-Level Performance
Monitor Item Popularity
This is more than just tracking sales numbers. To gauge true popularity, you should track:
- Sales Velocity:
- Sell-Through Rate:
- Pre-Order Frequency:
- Sell-Through Rate:
Goal:
Track QC Success Rate
Quality Control (QC) is where you catch problems before they reach the customer. For each incoming batch per SKU, track:
- QC Pass/Fail Ratio:
- Common Defect Types:
- Supplier Performance:
- Common Defect Types:
Goal:
Analyze Refund Frequency
The post-purchase experience is a goldmine of data. For each SKU, calculate:
- Refund & Return Rate:
- Reason for Return:
- Customer Feedback:
- Reason for Return:
Goal:
2. A Practical Workflow for Optimization
- Unify Your Data:
- Benchmark and Compare:
- Take Action:
- Star Performers (High Popularity, High QC, Low Refunds):
- Problem Products (Low Popularity, Low QC, High Refunds):
- Hidden Gems (High Popularity, but QC/Refund issues):
- Benchmark and Compare:
Conclusion
By systematically tracking SKU-level performance across orders, you move beyond guesswork. Monitoring the trifecta of popularity, QC success, and refund frequency