The Retention & Churn Challenge
For subscription and e-commerce businesses, acquiring customers is only half the battle. The real value lies in retention. Leaders need to understand exactly where customers drop off, which discount codes drive loyalty vs. one-time buys, and how global pricing impacts refund rates.
Advanced Capabilities
This report moves beyond basic reporting into diagnostic and predictive analytics.
- Cohort Analysis: Tracking customer retention rates month-over-month to visualize churn patterns.
- Decomposition Trees: AI-driven breakdowns of revenue drivers by Billing Cycle, Category, and Product.
- Lifecycle Funnels: Analyzing conversion drops from 'New' to 'Loyal' to 'Champion' status.
- Risk Modeling: Correlating discount depth with refund rates to identify 'bad revenue'.
Key Features & Technologies Used:
This extensive 5-page report covers the entire business lifecycle: Executive Overview, Customer Intelligence, Product Performance, Country Analysis, and Operation & Risk.
Deep-Dive Analysis by Page
A complete 360-degree view of the subscription business model.
- Executive Summary: High-level pulse on Net Revenue ($1.49M), Total Orders, and AOV. Features a global sales map and a split between New vs. Returning customer revenue.
- Customer Intelligence: The heart of retention. Features Cohort Analysis grids to spot churn, a Lifecycle Funnel to track conversion stages, and analysis of which acquisition channels produce the highest LTV customers.
- Product Performance: Uses an AI Decomposition Tree to drill into revenue drivers. Includes a scatter plot (ASP vs. Net Revenue) to identify high-volume/low-margin outliers.
- Country Analysis: Benchmarks regional performance. Compares local Average Selling Price (ASP) against the global average to optimize international pricing strategies.
- Operation & Risk: Protects the bottom line. Analyzes Refund Loss and identifying if aggressive discount codes are actually attracting low-quality customers who return products.
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