Customer Analytics

About The Course

Customer analytics is the process of identifying the behavior of customers based on their transactions and interaction through various channels. Customer analytics involves developing customer segments based on their behavior similarity, building RFM (Recency, Frequency, Monetary) models, identifying the life time value of the customer. Insights which come out of the customer segments and models built will help in building the right services to various customer segments and personalized services to high profile customers. Customer analytics also include identifying the potential customers who might churn out which can help in taking proactive actions to retain the customer.

Some of the areas where customer analytics are extensively used are

Retail industry to understand customer purchasing behavior and how to use the purchasing pattern for cross and up sell

• Financial industry to understand customer life time value, churn analysis etc. and provide personalized services
• Telecom industry to understand the customer usage behavior and provide bundled packages and other incentives to increase the revenues and reduce customer churn

Additionally customer experience analytics includes identifying the behavior of the overall customer behavior and take insights in building the best products which caters to the needs of different customer segments.

Are you interested in providing solutions to increase the customer experience by understand the behavior of the customer based on the customer transaction data, are you passionate in building products by understanding customer preferences, is your overall objective is to increase the revenue and retain the valuable customers then customer analytics is the right area which you need to focus on.

We provide customer analytics training covering customer segmentation, web analytics, and customer churn management etc. using real time examples with the support of widely used industry tool R.