Unlike generic analytics books that focus solely on spreadsheet functions, Sorger’s approach ties every metric back to a strategic business question. He answers the "Why" before the "How."
His models move beyond "last-click attribution" to holistic, algorithmic approaches that respect the customer journey.
Stephan Sorger's "Marketing Analytics: Strategic Models and Metrics" provides a data-driven framework for transitioning marketing from a cost center to a profit center using predictive, descriptive, and normative models. The text outlines twelve functional areas—including market segmentation, conjoint analysis, and resource allocation—to enable simulation-based strategic decision-making. For more details, visit stephansorger.com Google Books Marketing Analytics: Strategic Models and Metrics
: Predictive models allow companies to test multiple scenarios and run simulations before committing a budget. Unlike generic analytics books that focus solely on
Whether you are studying for an exam or refining your Q4 strategy, this text is essential reading for the data-driven marketer.
The definitive guide to highlights how data-driven frameworks empower organizations to optimize data, forecast trends, and maximize return on investment (ROI). In an era dominated by big data, this foundational text bridges the gap between raw analytical data and actionable marketing strategies.
If you need a digital copy (PDF or e-book), try these legitimate options: and normative models.
If you feel like your marketing strategy is built on intuition rather than evidence, it might be time to revisit your framework.
If you are looking to deepen your understanding of these models, I can help you: Explore a specific model like in greater detail. Provide examples of formulas used in the book.
: Visualizing how consumers perceive a brand relative to its competitors. Market Response Models Unlike generic analytics books that focus solely on
First published in 2013, one might question the relevance of a decade-old analytics book in the age of generative AI and cloud computing. However, Sorger's book remains a foundational text because it teaches the of marketing analytics.
Understanding the customer journey is vital. Key models covered include: Customer Lifetime Value ( CLVcap C cap L cap V