CUSTOMER AND MARKETING ANALYTICS

Analytics for marketers encompass a wide spectrum of techniques, including measurement and reporting, predictive modeling, customer segmentation, marketing optimization, campaign analysis, and experimental research. To best support customer analysis, analytics must be tied to your customers' lifecycle: Acquisition, Growth, and Retention.

Lityx can assist with planning, executing, and implementing analytic techniques across the customer lifecycle.

CUSTOMER BEHAVIOR MODELS

Lityx has successfully built predictive models of customer behavior across the customer lifecycle. Examples include

  • campaign and promotion response models
  • customer lifetime value models
  • customer segmentation
  • churn/retention and customer longevity models
  • cross and upsell models
  • product affinity models
  • loyalty models
  • winback models

IMPLEMENTATION

As important as developing and testing the analytics themselves is the implementation within the organization. Adoption of new analytic techniques, particularly complex ones, is often the biggest barrier to success. Lityx works with team members across the organization to ensure that analytics are understood and utilized to their fullest extent, ensuring the business realizes the maximum possible financial value.