This analysis examines the performance metrics of Ezbuycn's proxy shopping promotional campaigns through spreadsheet-based data evaluation. By quantifying key indicators like sales growth, revenue impact, and customer engagement, we identify success factors and improvement opportunities to enhance future campaign ROI.
Spreadsheet Data Evaluation Metrics
| Key Metric | Spreadsheet Analysis Method | Optimal Target |
|---|---|---|
| Sales Growth | Pre-post campaign comparison using PivotTables | Minimum 40% YoY increase |
| Average Order Value | IF formulas with conditional thresholds | 15-20% lift during promotions |
| Customer Acquisition Cost | Ad spend summation divided by new buyers | Below $8.50 per new customer |
| Repeat Purchase Rate | COUNTIFS for returning vs new customers | 25-30% of customer base |
Data Visualization Recommendation:
- Sparklines for sales trends by product category
- Conditional formatting for performance thresholds
- Dashboard-style summary tables with KPIs
Promotion Performance Findings
Success Factors:
- Flash sales drive 73% higher conversion
- Bundled promotions increase AOV by 28%
- SMS notifications show 45% open rate
- Bundled promotions increase AOV by 28%
Areas Needing Improvement:
Campaign Optimization Strategy
Promotion Structure
- Implement tiered discounts
- Test member-only预售 events
- Create product combination packages
- Test member-only预售 events
Timing Optimization
- Peak conversion observed 10am-12pm & 7-9pm
- Friday campaigns outperform Sunday by 19% in CTR
- Schedule reminders 4 hours pre-event
Channel Enhancement
- Increase WhatsApp automation
- Develop APP-exclusive promotions
- Add shopping cart saver
- Develop APP-exclusive promotions
Implementation Roadmap
Suggested timeline for deploying these spreadsheet-informed optimizations:
- Week 1-2:
- Week 3-4:
- Week 5:
- Ongoing:
- Week 3-4: