Data Analysis and Business Optimization

Establish a complete data analysis system to continuously optimize business performance. Achieve data-driven business growth through scientific metrics monitoring, data analysis, and decision support.

Key Metrics Monitoring

Establish a comprehensive metrics monitoring system to real-time grasp business health and timely discover problems and opportunities.

Core Business Metrics Explained

Traffic Metrics

Measure website traffic scale and user engagement
Sessions: Total number of website visits
Bounce Rate: Single-page session percentage, optimize content if too high
Session Duration: Average user停留 time, reflects content appeal

Conversion Metrics

Measure user behavior conversion effectiveness
Conversion Rate: Percentage of users completing target actions
Order Value: Average order value
CAC: Customer acquisition cost

Revenue Metrics

Measure business revenue performance
Total Revenue: Total business revenue
AOV: Average order value per customer
Repeat Purchase Rate: Percentage of returning customers

Advertising Metrics

Measure advertising effectiveness
ROAS: Return on ad spend
CPA: Cost per acquisition
CPC: Cost per click

Data Analysis Tools

Choose appropriate analysis tools to build complete data analysis capabilities and support business decisions.

Google Analytics 4

Next-generation web analytics tool with powerful user behavior tracking and insights, supporting cross-platform analysis.

Google Data Studio

Powerful data visualization tool that integrates multi-source data to create interactive reports and dashboards.

Shopify Analytics

E-commerce platform built-in analytics providing core business data reports on orders, customers, and sales.

Third-Party Analytics Tools

Such as Hotjar, Mixpanel, providing user behavior heatmaps, funnel analysis, session replay and other features.

Data Analysis Process

Establish standardized data analysis processes to ensure rigor of analysis and effectiveness of decisions.

Five-Step Data Analysis Method

1 Collect Data - Integrate multi-channel data, establish unified data source

2 Clean Data - Handle missing values, outliers, ensure data quality

3 Analyze Data - Discover trends, patterns, and correlations

4 Visualize - Create intuitive data reports and charts

5 Actionable Insights - Propose optimization plans based on insights

Business Optimization Strategies

Turn data insights into actionable improvements and continuously optimize business performance.

Data-Driven Optimization Checklist

Identify underperforming areas like high bounce rate pages, low conversion channels
Develop data-based improvement plans with clear priorities and goals
Test optimization solutions and verify effectiveness through A/B testing
Track improvement results to validate optimization hypotheses

      Continuous Optimization Principles
      Build Data Culture - Make data the foundation of daily decisions
Regular Reviews - Review key metric changes weekly/monthly
Rapid Iteration - Move fast, validate hypotheses quickly
Cross-Channel Integration> - Connect data across channels for complete user view

    