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Personalized Pricing and Data Aggregation
Companies like McDonald's use apps to collect data on customers' behaviors and preferences, enabling personalized pricing strategies. By analyzing data from various sources like app usage, email, social media, and browsing history, companies can predict consumer behavior and adjust prices accordingly. This data aggregation allows for tailored discounts based on factors like payday or weather conditions. However, personalized pricing can lead to consumer isolation and perceived unfairness when different prices are offered to different customers for the same product.