For more than two decades, personalization has been measured by how effectively organizations targeted customers. But the definition of success changes over time: customers do not expect the same experience on day one that they do after years of engagement.
Early in a relationship, delivering relevant experiences is sufficient. Organizations should aim to provide timely information and useful recommendations based on known preferences.
But as trust grows, expectations evolve. Customers increasingly want not just relevant but contextual experiences adapted to their unique situation, intent, history and environment. At this level, the enterprise understands not only who the customer is, but what they are trying to accomplish.
To deliver the highest level of personalized experiences, those that intuit what customers want and respond to their needs in real time, organizations are increasingly turning to AI.
Every conversation, purchase, service event, search, preference, or digital behavior has the potential to enrich an evolving understanding of the customer — and make the enterprise more capable over time. Organizations can harness AI to continuously learn from every interaction, infer customer needs before they are explicitly expressed, and orchestrate experiences dynamically across channels and functions.
This progression reflects advances in technology as much as the evolution of trust between an organization and its customers. The depth of personalization should increase with the depth of the customer relationship.