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Marketing Analytics Strategic Models And Metrics Stephan Sorger Pdf Link __exclusive__
: Metrics for monitoring sales profitability and practical tips for data-driven presentations using tools like Pivot Tables. Key Metrics and Tools
: Evaluating customers based on Recency, Frequency, and Monetary value to identify high-value segments. 2. Pricing Models
For a foundational look at what models and metrics entail, you can access the Chapter 1 Introduction PDF Comprehensive Guide: The full text is available for purchase on , offering nearly 500 pages of actionable insights. Stephan Sorger : Metrics for monitoring sales profitability and practical
Metrics are the specific KPIs used to track progress against strategic goals. Sorger emphasizes grouping metrics logically to maintain organizational alignment. Metric Category Key Indicators Strategic Purpose Return on Investment (ROI), Customer Acquisition Cost (CAC) Evaluates the baseline economic viability of campaigns. Customer Brand Health Net Promoter Score (NPS), Brand Awareness, Churn Rate Measures long-term loyalty and market perception. Digital Engagement
Data drives modern business success. Organizations no longer rely on gut intuition to make marketing decisions. Instead, they utilize rigorous data frameworks to optimize investments and predict consumer behavior. Pricing Models For a foundational look at what
: Guides retention budgets and helps identify which customer segments warrant the highest tier of customer service. 4. Marketing Mix Modeling (MMM)
Marketing analytics isn't just about collecting data—it's about the study of data to evaluate marketing performance Metric Category Key Indicators Strategic Purpose Return on
Involves pricing assessment techniques to find the "sweet spot" that maximizes revenue.
Linking marketing activities to the broader business objectives. Essential Metrics for Modern Marketers
Sorger’s framework categorizes analytics into distinct models, each designed to answer specific business questions. 1. Market Insight and Segmentation Models
The book shifts from "guessing outcomes" to "predicting results" through simulations and measurable impact. It covers the full lifecycle of marketing analytics across 12 chapters:

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