Contextualization of marketing and advertising to the customer is limited based upon customer history, location, day and time, and maybe purchasing patterns.
Goals and Objectives
Provide contextualization and personalization that is informed by data about the customer, their social network, current status, and the relevant near-customer data based on what is happening, said, needed, and expected.
Cloud, IoT, time-stamped geospatial analytics, unstructured data analytics, ingestion of worldwide data sources, customer journey analytics, natural language processing, predictive behavioral analytics, natural language expression, trade-off analytics, and multicloud management
Use Case Summary
Every customer engagement is aligned to the specific context of the customer and the point in the customer journey including roles, behaviors, history, and location of the customer.