Customer Analytics

Which customers are more profitable?

Why did we lose customers?

What results in high retention rate?

Customer Segmentation

  • Analyse data for behaviour, preferences, demography, buying pattern to segment customers
  • Identify factors and analyse their influence on customer behaviour

Customer Acquisition & Retention

  • Using analytics run campaigns promotions to acquire and increase Lifetime Value of a customer
  • Design and implement strategies based on analytics to reduce churn, and create models to increase customer engagement

Customer Profile & Rating

  • Use concepts from life time value to determine your best customers, predict who your best customer could be
  • Understand migration and behaviour of customer over time across segments/category of products and services
  • Rating customers based on past data and other factors

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