Transform raw data into actionable insights on shipping, refunds, and quality control.
Why Pivot Tables are a Game-Changer for E-commerce Analysis
For an e-commerce platform like KAKOBUY, managing thousands of orders generates immense data. Hidden within this data are critical patterns that dictate customer satisfaction, operational efficiency, and profitability. Manually sifting through spreadsheets is inefficient. This is where Pivot Tablesshipping performance, refund rates, and QC outcomes
Preparing Your KAKOBUY Order Data
Before you begin, ensure your data is in a clean, tabular format. Your export should include columns such as:
- Order ID
- Order Date
- Product SKU/Category
- Shipping MethodDestination Country
- Order Status
- QC Result
- Refund AmountRefund Reason
Tip: Use a consistent format for dates and categories to ensure accurate grouping.
Key Analysis: Spotting Patterns for Strategic Decisions
1. Analyze Shipping Performance & Costs
Goal:
Pivot Setup:
- Rows:
- Columns:
- Values:
Strategic Insight:Region A
2. Decode Refund Trends & Root Causes
Goal:
Pivot Setup:
- Rows:
- Columns:
- Values:
Strategic Insight:Electronics Category X
3. Monitor Quality Control (QC) Outcomes
Goal:
Pivot Setup:
- Rows:
- Columns:
- Values:
Strategic Insight:
Taking Action: From Insight to Strategy
Pivot tables provide the "what""where.""why""how to fix it."
- Negotiate or Switch:
- Targeted Improvement:
- Resource Allocation:
- Dynamic Reporting: