Hegobuy User Growth Analysis in Spreadsheets & Strategy Development
2025-04-25
1. Introduction
Analyzing user growth data is crucial for e-commerce platforms like Hegobuy's purchasing agent service. This article demonstrates how to leverage spreadsheet tools (Google Sheets/Excel) to analyze key metrics including new users, growth rate, and retention rate, then formulate data-driven strategies for sustained expansion.
2. Spreadsheet Data Analysis Framework
2.1 Key Metrics Tracking
| Metric | Formula | Insight Purpose |
|---|---|---|
| New Users | Daily registrations | Channel effectiveness |
| MoM Growth Rate | (Current Month - Prev Month)/Prev Month | Trend identification |
| 7-Day Retention | Users active on Day 7 ÷ Day 1 users | Early-stage engagement |
2.2 Visualization Techniques
- Time-series line charts for trend analysis
- Funnel charts comparing acquisition channels
- Heatmaps of user activity patterns
3. Growth Strategy Formulation
3.1 Channel Optimization
Based on period-over-period comparisons:
Example findings:
3.2 UX Enhancements
4. Implementation Plan
| Phase | Action | Measurement |
|---|---|---|
| Q1 | Launch referral bonus program | Virality coefficient >1.2 |
| Q2 | Mobile app redesign | Session duration +15% |
Pro tip: Use SPARKLINE()