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A practical application: A subscription box company uses CLV prediction to identify high-value customers, then applies an attribution model to see which channels (Facebook ads vs. influencer posts) drive those high-CLV customers. The metric “CLV per channel” becomes the steering metric for budget allocation.
Marketing analytics involves the application of data analysis and statistical techniques to marketing data, aiming to inform marketing decisions and drive business growth. It encompasses a range of activities, from data collection and analysis to the development of strategic models and metrics.
Vance stood up and walked to the screen. He squinted at the digital page. "You’re saying we’re spending money on people who don’t want to buy?"
Navigating Data-Driven Decisions: A Guide to Marketing Analytics Strategic Models and Metrics A practical application: A subscription box company uses
| Category | Example Metrics | Strategic Use | | :--- | :--- | :--- | | | Cost per Lead (CPL), Click-Through Rate (CTR) | Optimize top-of-funnel spend | | Behavior | Bounce Rate, Time on Site, Page Views per Session | Improve user experience & content | | Conversion | Conversion Rate, Shopping Cart Abandonment | Fix friction points in the buyer journey | | Retention | Churn Rate, Repeat Purchase Rate, Net Promoter Score (NPS) | Increase customer loyalty and CLV | | Financial | ROI, ROMI (Return on Marketing Investment) | Justify budgets to leadership |
Specific chapter summaries on or predictive modeling .
Sorger's approach emphasizes the importance of strategic models in marketing analytics. These models provide a framework for understanding complex marketing phenomena, identifying key drivers of performance, and predicting future outcomes. Some key strategic models in marketing analytics include: He squinted at the digital page
"Marketing Analytics: Strategic Models and Metrics" is a comprehensive guide to marketing analytics that provides readers with a deep understanding of the strategic models and metrics used to measure marketing effectiveness. The book is divided into three main parts:
Sorger’s framework relies on two pillars: and practical metrics .
Sorger's book introduces several strategic models that help marketers develop a cohesive approach to marketing analytics. Some of the key models include: identifying key drivers of performance
The total net profit attributed to the entire future relationship with a customer. Churn Rate
To fully appreciate the book's value, it helps to know the person who wrote it. Dr. Stephan Sorger is not just an academic; his career spans decades in both high-level industry practice and university teaching.