Effective digital content that appeals to diverse audience segments is challenging due to varying expectations across generations. Differences in design priorities and evaluation criteria create an opportunity for applying analytical methods based on Multi-Criteria Decision Analysis (MCDA). This study explores how different marketing approaches and types of advertising align with generational preferences, with the aim of identifying the most effective strategy for each generation with the use of perceptual experiment and eye-tracking. The PROMETHEE method was applied to integrate multiple evaluation criteria and derive optimal recommendations. The findings provide valuable insights for campaign design and the application of computational methods, demonstrating how data-driven approaches can enhance marketing effectiveness by aligning strategies with generational characteristics.