Analyzing Ponybuy’s Product Category Data in Spreadsheets & Optimization Strategies

2025-04-28

1. Introduction

As a global purchasing agent, Ponybuysales share, growth rate, and profit contribution

2. Spreadsheet-Based Data Analysis

Key Metrics Tracking:

  • Sales Distribution:
  • Growth Trends:
  • Profitability:

Visualization Tools:

Leverage:

  1. Pivot tables to aggregate category performance.
  2. XY scatter plots to identify high-growth/high-profit clusters.
  3. Trend lines for forecasting demand shifts.

3. Market-Aligned Optimization Framework

Category Action Criteria Example
Phase Out < 5% sales share and declining growth Legacy electronics accessories
Promote Top 20% profit contributors Designer collaboration items
Introduce Aligned with trending searches (e.g., Google Trends) Eco-friendly travel gear

4. Implementation Roadmap

Phase 1 (0-3 months):

Conduct Pareto analysis to identify the 20% of categories driving 80% of profits.

Phase 2 (3-6 months):

Negotiate supplier terms for high-potential categories (e.g., skincare mini-sets).

Ongoing:

Monthly refresh of spreadsheet dashboards with new platform data (e.g., TikTok virality scores).

5. Expected Outcomes

Projected 12-18% uplift

  • Reduced inventory costs from trimmed underperformers
  • Higher conversion rates via trend-responsive assortments

Note: Always A/B test new category introductions before full-scale rollout.

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