Retail Customer Analytics

Retail Customer Insights - Bharat Karroti, Infosense

To utilise customer information in as many of their business activities as possible, should analyze the timely and relevant data and knowledge about customer preferences, to make informed marketing decisions. Our aim is to deliver much greater value for the customer insights and to provide a Single Customer View of data by ensuring that they get targeted the most potential to be profitable through the right channels.

Key Metrics

  • Understand customer trends across key focus areas such as sales, balances, and engagement
  • Utilize sophisticated predictive models enhanced with Big Data that utilize the customer web behavior for analysis
  • Optimize campaigns with metrics including responses, opt-outs, and customer distribution across target segments
  • Monitoring the direct marketing activity campaign profitability across customer segments and channels with campaign performance tracking through the development of a customer strategy.
  • Ensure targeted marketing with pre-built cross-sell/up-sell scores along with channel and product propensity scores.
  • Optimize investments through detailed channel analysis including bank branches, on-line, phone
  • Utilize real time offer recommendation functionality based on transaction behavior

Solutions

  • Proactively gain insight into the customer segmentation and strategy understanding their needs.
  • Enable successful and informed marketing decisions with the ability to plan, manage, and track marketing investments
  • Enhance wallet-share through better cross-sell targeting and customer engagement across key products
  • Big Data ready predictive models using machine learning techniques
  • Drive marketing efficiency and optimization through customized communications and real time next best offers.
  • Monitor and Track Campaign Profitability