ACBUY Spreadsheet: How to Monitor SKU Performance Across Orders
In today's competitive e-commerce landscape, strategic buying is crucial for profitability. The ACBUY Spreadsheet provides a comprehensive framework to monitor your SKU performance effectively across all orders. This guide will walk you through tracking Quality Control (QC) success rates, refund rates, and product popularity to make data-driven purchasing decisions.
Understanding the Three Core Metrics
1. Quality Control (QC) Success Rate
This metric indicates the percentage of units that pass your quality inspection upon arrival. A low QC success rate signals issues with your supplier or product quality.
- Calculation:
- Benchmark:
- Action:
- Benchmark:
2. Refund Rate
The refund rate measures customer dissatisfaction and product issues that emerge after sale. High refund rates directly impact profitability and brand reputation.
- Calculation:
- Benchmark:
- Action:
- Benchmark:
3. Popularity Index
This measures sales velocity and customer demand for each SKU. Understanding popularity helps optimize inventory levels and identify sales trends.
- Calculation:
- Benchmark:
- Action:
- Benchmark:
Setting Up Your ACBUY Monitoring System
Data Collection Framework
Implement a systematic approach to gather consistent data across all orders:
| Data Point | Source | Frequency |
|---|---|---|
| QC Results | Inspection sheets | Per shipment |
| Refund Data | Platform reports | Weekly |
| Sales Volume | Sales dashboard | Daily |
Spreadsheet Organization
Structure your ACBUY spreadsheet with these essential columns:
- SKU ID
- Product Description
- Order Date
- Quantity Ordered
- QC Pass Count
- QC Failure Count
- QC Success Rate (%)
- Units Sold
- Units Refunded
- Refund Rate (%)
- Popularity Score
- Action Required
Strategic Decision-Making Scenarios
High Performer Profile
Characteristics:95%, Refund Rate <3%, Popularity Score High
Action:
Quality Risk Profile
Characteristics:
Action:
Customer Satisfaction Risk
Characteristics:8%, Popularity Any
Action:
Automating Performance Alerts
Set up conditional formatting in your spreadsheet to automatically highlight:
- Red: Refund rates exceeding 8%
- Orange: QC success rates below 90%
- Green: Top 20% of popularity scores
This visual system enables quick identification of priority items during weekly reviews.
Conclusion
The ACBUY Spreadsheet system transforms raw order data into actionable intelligence. By consistently monitoring QC success rates, refund rates, and popularity metrics, you can eliminate guesswork from your buying process. This disciplined approach leads to improved profitability, stronger supplier relationships, and better inventory management. Start implementing these tracking methods today to make your next buying cycle more strategic and data-driven.