Evaluating Performance of Ezbuycn Campaign Data in Spreadsheets: Insights & Optimization Strategies

2025-04-28
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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:

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:

B. Communication Enhancements

  • SMS Message Testing:
  • Personalized Product Recommendations:
  • Countdown Timers:

C. Spreadsheet Tracking Improvements

  • Add UTM_Source
  • Create dropdown menus for product categories (currently 12 variants of "Electronics" labeling)
  • Implement QUERY()

Implementation Roadmap

  1. Redesign spreadsheet structure (Week 1)
  2. Test new SMS creatives (Week 2)
  3. Launch tiered discount structure with next campaign cycle
  4. 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.

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