Case

We revealed what really drives purchase decisions in the launch of an obesity drug in Mexico

Data analysis for pharmaceutical pricing strategy

Context

A pharmaceutical multinational evaluating the pricing strategy for the launch of an obesity drug in the Mexican market — a market with low diagnosis and treatment-seeking rates.

Approach

  • Application of advanced statistical techniques to reveal patients' true decision preferences, beyond what direct questions can capture;
  • Conjoint analysis (Discrete Choice Experiment) with patients, testing hypothetical combinations of administration route, mechanism of action, side effects, expected weight loss, and price;
  • Statistical decomposition of each attribute's weight in the final decision, segmented by patient profile;
  • Econometric price-volume elasticity model to simulate revenue scenarios, validated through interviews with specialist physicians.

Results

  • Side effects identified as statistically more relevant than price in the patient's decision;
  • Confirmation of inelastic demand behavior within a defined price range, guiding the client's commercial decision.