A company has clients who have different needs, priorities, and expectations. With data analytics, we can group them by certain characteristics that will allow us to provide more focused solutions in a more efficient way.
The transactional and contact data of the clients allows knowing their consumption habits, purchase frequency, and preferred contact channels. We can design the sequence pattern of products and volumes of expected consumption for each customer group
The value attributes that are important in each group of customers are compared with the performance of the value proposition offered by the company. Thus, we identify the points of contact that achieve customer loyalty throughout its life cycle.
Current sales volumes and projected customer growth define the investment required to develop the business relationship and the service protocols necessary to strengthen it throughout the customer life cycle.