The document discusses using big data to personalize brand experiences for different types of travelers. It notes that business travelers value innovation, quality and convenience, while leisure travelers with friends value luxury and excitement. The document questions how brands can be more relevant to other types of travelers on an individual level. It proposes using big data through survey, observation, modeling, discovery and targeting to predict brand relevance and improve engagement, effectiveness and return on investment.