Utilizing methods like conjoint analysis to understand customer preferences and optimize product features.
Before launching a new product or feature, companies must understand what consumers truly value. Conjoint analysis is a survey-based statistical technique that forces respondents to make trade-offs between different product attributes (e.g., price, brand, battery life). Sorger stresses the importance of using relevant metrics
Sorger stresses the importance of using relevant metrics to measure marketing performance. Some of the key metrics for marketing analytics include: This allows organizations to run "what-if" scenarios and
Marketing Mix Modeling uses multivariate regression analysis to estimate the historical impact of various marketing tactics (television, digital ads, print, pricing changes) on overall sales. Sorger stresses the importance of using relevant metrics
Regression models establish mathematical relationships between independent variables (such as advertising spend or seasonal weather) and dependent variables (such as product sales). This allows organizations to run "what-if" scenarios and forecast demand with high statistical confidence. Customer Churn Prediction
: Models to identify and assess competitors' strategies to carve out a unique market position.