Transform your raw Taobao/TMall agent data into clear, actionable insights. By tracking key metrics in a structured spreadsheet, you can optimize your purchasing decisions and agent performance.
1. Setting Up Your Data Foundation
Create a master spreadsheet with the following columns for each order to ensure clean data:
- Order ID / Item:
- QC Date:
- QC Result:
- Ship-to-Warehouse Date:
- International Dispatch Date:
- Delivery Date:
- Refund Status:
- Refund Reason:
Consistent data entry is crucial for accurate charting later.
2. Creating Key Performance Charts
Chart A: QC Approval Rate Over Time
Purpose:
How to Build:
- Create a summary table counting total orders and "Approved" outcomes per month.
- Insert a Line ChartColumn Chart.
- Set the horizontal (X) axis to "Month".
- Set the vertical (Y) axis to "Approval Rate %" (Calculated as: (Approved Items / Total Items) * 100).
Visual Insight:
Chart B: Average Delivery Time by Month/Quarter
Purpose:
How to Build:
- Calculate "Total Transit Days" (Delivery Date - International Dispatch Date) for each delivered order.
- Group orders by month and calculate the average transit days.
- Insert a Bar ChartLine Chart.
- X-axis: "Month". Y-axis: "Average Delivery Time (Days)".
Visual Insight:
Chart C: Refund Percentage by Reason
Purpose:
How to Build:
- Tally all refunds, categorizing them by "Refund Reason".
- Insert a Pie ChartDonut Chart.
- Label each segment with the reason (e.g., Quality, Size) and its percentage.
Visual Insight:
3. Turning Visualization into Action
With these charts, your data analysis becomes straightforward:
- Agent Accountability:
- Seller Selection:
- Personal Spending Habits:
- Budget Forecasting: