Marketing Analytics Strategic Models And Metrics Stephan Sorger Pdf ^hot^ Jun 2026

: Measures customer loyalty by asking how likely a customer is to recommend the company to a friend or colleague.

Identify exactly where in the funnel your customer drops off. A low CTR means bad creative; a high bounce rate on the landing page means bad UX or mismatched messaging.

Products and services are often the least measured elements of the marketing mix, but Sorger provides specific methodologies. Conjoint analysis—a technique for determining how consumers value different product features—receives detailed coverage. This allows marketers to answer questions like: "Would customers prefer a lower price or a new feature?" without building multiple prototypes. The chapter also covers product/service metrics such as adoption rates, feature usage, and customer satisfaction scores. : Measures customer loyalty by asking how likely

Selecting the right strategic path based on evidence rather than intuition.

Mastering Data-Driven Decisions: A Guide to Marketing Analytics Strategic Models and Metrics Products and services are often the least measured

In today's business world, data is everywhere. However, data without structure is just noise. Marketers frequently struggle to turn massive datasets into actionable strategies.

Overall, the book appears to be a valuable resource for marketers and analysts looking to develop their skills in marketing analytics and strategic decision-making. However, readers with advanced analytical backgrounds may find some of the technical aspects too basic. The chapter also covers product/service metrics such as

Promotional spending—on advertising, digital marketing, trade shows, and sponsorships—is typically the largest line item in the marketing budget. Sorger provides methodologies for budget estimation (using marginal return curves) and allocation (across media channels, campaigns, and customer segments). The chapter addresses the perennial challenge of measuring ROI for activities that drive awareness but do not produce immediate conversions.

: CLV typically factors in average purchase value, purchase frequency, and customer lifespan, discounted back to present value.

: The percentage of customers who remain loyal over a specific period.

If you're looking for a specific topic, here's a complete map of the book's 12 chapters: