Using Analytics to Design Personalized Customer Experiences

Personalization has become one of the biggest drivers of success in online retailing.

According to a 2020 study from Monetate, 75% of all organizations used at least “some” advanced personalization. There is a premium on crafting experiences that make your customers feel they are being individually catered to. But to get that experience right you need a thorough understanding of who your customers are, what they want, and what the best way to give it to them is.

Developing this is easier said than done, especially when operating at scale. Delivering personalized experiences to customers that run into the thousands, tens of thousands, or more is a huge challenge. It requires an analytics and testing process that is capable of
making fine-grained distinctions within huge data sets.