Evaluating Performance of Ezbuycn Campaign Data in Spreadsheets: Insights & Optimization Strategies
2025-04-28
Post-campaign data analysis is crucial for understanding the effectiveness of Ezbuycn's purchasing agent promotion activities. This report analyzes sales growth, revenue improvements, and customer engagement metrics from spreadsheets to derive actionable insights for future campaign optimization.
I. Analysis Methodology
- Timeframe Comparison:
- Core Metrics:
- Engagement Tracking:
- ROI Calculation:
- Visualization Tools:
- Core Metrics:
II. Performance Evaluation Findings
| Metric | Performance | Industry Benchmark | Gap Analysis |
|---|---|---|---|
| Sales Growth | +32% (Week 1-2 slowing to +18% Week 3-4) | 40% sustained growth | Campaign fatigue evident |
| AOV Increase | ¥58 → ¥72 (+24%) | 30-35% increase | Upselling opportunities missed |
| New Customer Ratio | 28% of total orders | 40% target | Referral incentives underperformed |
III. Optimization Recommendations
A. Promotion Strategy Adjustments
- Tiered Discount Structure:
- Dynamic Duration:
- VIP Early Access:
- Dynamic Duration:
B. Communication Enhancements
- SMS Message Testing:
- Personalized Product Recommendations:
- Countdown Timers:
- Personalized Product Recommendations:
C. Spreadsheet Tracking Improvements
- Add
UTM_Source- Create dropdown menus for product categories (currently 12 variants of "Electronics" labeling)
- Implement
QUERY()
Implementation Roadmap
- Redesign spreadsheet structure (Week 1)
- Test new SMS creatives (Week 2)
- Launch tiered discount structure with next campaign cycle
- Establish monthly cross-department data review sessions
Continuous spreadsheet-based performance monitoring ensures real-time campaign optimization. Proposed changes could potentially boost ROI by 40-60% in the next quarter with proper execution.