Customer Analytics

Customer analytics is the process of analyzing customer data and behavior to gain insights into customer preferences, needs, and behavior patterns. It involves the use of data mining, machine learning, and other analytical techniques to extract valuable information from customer data.
customer

Customer Analytics Applications

customer analytics can be applied in any business area that involves customer interactions and can help businesses improve their overall performance by providing insights into customer behavior, preferences, and needs.

While the fundamental goals of achieving customer satisfaction, loyalty, and value persist, the methods for attaining them are evolving at a swift pace. By utilizing Customer Analytics, organizations can gain a comprehensive 360-degree view of their customers through a combination of in-store and online behaviors, as well as social listening and surveys.

Customer Analytics Goals

Customer Journey – Key Objectives

Acquire

acquire
  • Lead Scoring
  • Lookalike Modeling
  • Response Modeling

Understand

understand
  • Customer Segmentation
  • Customer 360 View
  • Survey Analytics
  • Customer Experience

Grow

grow
  • Pricing & Promotions
  • Personalization
  • Customer Lifetime Value
  • Up-sell/Cross-sell

Retain

retain
  • Churn Modeling
  • Loyalty Analytics
  • Contact Center Analytics
  • Customer Service