Introduction
As the proxy shopping market becomes increasingly competitive, leveraging data analytics is essential for sustainable growth. This article explores how Hegobuy can analyze key user metrics in spreadsheets (e.g., new users, growth rate, retention) and formulate targeted strategies to boost acquisition and engagement.
1. Data Collection & Spreadsheet Framework
Structure raw data in spreadsheets with the following core tabs:
- User Metrics Dashboard:New Users,
Active Users (DAU/MAU),Retention Rate- Channel Attribution:
- Behavior Flow:
- Channel Attribution:
Example formula for MoM growth rate:= (Current Month Users - Previous Month Users) / Previous Month Users * 100
2. Key Analysis Focus Areas
2.1 Identifying Growth Patterns
Plot trends using line charts with % change annotations. Correlate spikes with marketing campaigns/holidays to assess ROI.
2.2 Retention Benchmarking
Compare 7/30/90-day retention against industry peers. Highlight critical churn periods
2.3 Cohort Segmentation
Pivot tables to analyze high-LTV groups (e.g., "Users from Country X with ≥3 repeat purchases").
3. Growth Strategies Informed by Data
3.1 Channel Optimization
Double down on top-performing channels:
Based on spreadsheet flows:
3.2 User Experience Enhancements
3.3 Targeted Incentives
Implement:
- Referral bonuses
- Gamification:
4. Implementing & Monitoring
Create a Schedule weekly syncs to update dashboards and pivot strategies.Strategy Tracker
Action
KPI Target
Owner
Launch holiday referral program
+15% WoW new users
Marketing Team