Transform raw data into actionable insights by creating graphs for shipping fees, quality control, and refund trends.
Why Visualize Your GTBuy Data?
Tracking numbers in a spreadsheet is a start, but visualization
Step 1: Prepare Your Data Structure
Organize your spreadsheet with clear columns. Essential data points include:
| Agent | Shipping Fee (USD) | QC Pass/Fail | Item Refunded (Y/N) | Month |
|---|---|---|---|---|
| Agent A | 25.50 | Pass | N | Jan |
| Agent B | 32.00 | Fail | Y | Jan |
Use consistent naming and dates to ensure your charts are accurate and meaningful.
Step 2: Create & Interpret Key Charts
1. Average Shipping Fee Comparison (Bar Chart)
Purpose:
- How to Build:
- Insight:
[Bar Chart: Average Shipping Fee by Agent]
2. QC Pass Rate Over Time (Line Graph)
Purpose:
- How to Build:
- Insight:
[Line Graph: Monthly QC Pass Rate %]
3. Refund Request Trends (Stacked Column Chart)
Purpose:
- How to Build:
- Insight:
[Stacked Column Chart: Refunds vs. Successful Orders]
Step 3: From Insight to Action
Use your charts to make informed decisions:
Negotiate Shipping
Use average fee charts as leverage when discussing rates with agents.
Select Reliable Agents
Choose agents with high and stable QC pass rates and low refund trends.
Adjust Purchasing Strategy
If refunds spike for a specific seller, consider switching suppliers.
Ready to find your next haul?