By mastering these strategic models and tracking disciplined metrics, modern marketers move from a cost-center mindset to becoming verified revenue drivers.
Selecting the right strategic path based on evidence rather than intuition.
Marketing analytics is more than just tracking website clicks or social media likes. It is the systematic transformation of data into actionable insights that influence high-level corporate strategy.
: Stephan Sorger’s official webpage provides supplemental Excel templates and lecture slides.
Sorger emphasizes several foundational models for quantifying marketing efforts: By mastering these strategic models and tracking disciplined
: A statistical approach that estimates the relationship between a dependent variable (like sales) and independent variables (like ad spend, seasonality, or economic indicators). Pricing Optimization Models
If you are interested in exploring specific frameworks from this methodology,
Stephan Sorger's official website: StephanSorger.com
Not all customers are created equal. The Customer Lifetime Value model calculates the total net profit a company can expect to generate from a single customer account over the duration of their relationship. It is the systematic transformation of data into
Justifies marketing budgets to executive leadership and stakeholders. 4. The Marketing Analytics Process
Cluster customers based on behavior or demographics (e.g., using Cluster Analysis). Target: Identify high-value segments. Position: Determine the best marketing mix ( s) for the target audience. 3. Customer Analytics Models
is an essential guide for anyone looking to master the quantitative side of marketing. By combining detailed strategic models with practical metrics, Sorger empowers marketers to stop guessing and start knowing.
Translate data outputs into a concrete strategic plan. 5. Finding and Using the Text Resource Pricing Optimization Models If you are interested in
For customer segmentation, Sorger champions RFM. This model scores customers based on:
: Techniques for market sizing, trend analysis, and identifying specific customer segments through data.
The book is suitable for:
Detailed techniques for product (conjoint analysis), pricing (demand curves), distribution (channel selection), and promotion (budget allocation).