Four characteristics of customer
analytics are as follows:
- Targeting customers: It targets
customers across all the channels. Moreover, it analyses customers'
characteristics in various ways through which a product or service
can be distributed.
- Customer assessment: It assesses
and understands customers' behavior concerning brand to understand
whether the customer is satisfied. It is achievable through a
combined effort of quantitative and qualitative analysis.
- Consumer engagement: It enhances
consumer engagement maintaining alignment between the time and
channel.
- Churn date prediction: Customer
analytics can predict the churn date. Hence, it takes action to
improve consumer value.
Being a manager of a shop in
a supermarket, one should select descriptive analytics. Reasons for
adopting descriptive analytics are as follows:
- It uses a full range of customer
data to analyze customer details
- It gives an accurate picture of
customer behavior
- Strategic decisions can be made
based on historical data about the customers