Author: [Your Name/Institution] Date: October 2023 Inspired by: Stephan Sorger, Marketing Analytics: Strategic Models and Metrics Abstract In the era of big data, marketing has transitioned from a creative-centric discipline to a data-driven strategic function. This paper synthesizes the core frameworks presented in Stephan Sorger’s Marketing Analytics , focusing on the integration of strategic models (Segmentation, Targeting, Positioning – STP; Customer Lifetime Value – CLV) with key performance metrics (Return on Investment – ROI, Conversion Rates, Churn). We argue that the true value of marketing analytics lies not in isolated metrics but in a closed-loop system where models predict outcomes and metrics validate strategic decisions. 1. Introduction Traditional marketing relied on intuition and mass media. Modern marketing relies on analytics : the systematic use of data to drive decisions. According to Sorger, the challenge is not a lack of data but the signal-to-noise ratio . Marketers must distinguish between vanity metrics (e.g., page views) and actionable insights (e.g., customer acquisition cost).