Introduction
We adopt the customer lifecycle stages defined in Google Analytics:
Acquisition – how shoppers first arrive and are introduced to the brand.
Engagement – how shoppers interact with the brand’s content, products, and communications.
Monetization – how interactions convert into orders and sales.
Retention – how well the brand builds long-term relationships and repeat business.
Since ecommerce brands universally use Google Analytics as their primary analytics platform, aligning with these lifecycle stages ensures consistency and familiarity. It also allows us to map shopper behavior directly into actionable analysis.
To enable our methods of data analysis and results scoring, we assign each lifecycle stage two key metrics:
A conversion metric that reflects the effectiveness of shopper progression within the stage.
A revenue performance metric that reflects the financial outcome of shopper activity.
Lifecycle Stage Metrics
1. Acquisition
Conversion Metric: Engagement Rate
Measures the proportion of sessions where shoppers actively interact (opposite of bounce rate).Revenue Metric: Revenue Per Session
Captures how much revenue is generated from each individual visit.
2. Engagement
Conversion Metric: Item View Rate
Tracks how many shoppers reach product pages to view items.Revenue Metric: Revenue Per View
Evaluates the revenue outcome of each product view.
3. Monetization
Conversion Metric: Item View to Order Rate
Measures how often a viewed product results in an order.Revenue Metric: Average Order Value (AOV)
Reflects the size of each order placed.
4. Retention
Conversion Metric: Shopper Lifetime Days
Calculates the average lifespan of shoppers as active customers.Revenue Metric: Revenue Per Lifetime Day
Assesses the ability to generate revenue from returning shoppers over time.
Why This Framework Matters
By pairing a conversion metric with a revenue metric for each stage, we create a balanced and holistic way of evaluating performance. Conversion metrics reveal how effectively shoppers move through each stage of the lifecycle, while revenue metrics measure the financial outcome of those movements. Together, they provide the foundation for credit-like performance scoring, allowing us to pinpoint strengths, uncover weak points, and highlight actionable opportunities across the entire shopper lifecycle.