Identifying and meeting customer needs
Our solution for loyalty and customer satisfaction management equips you with rich profiling of customer values, enabling you to respond accurately to changing local demands and to target your customer communications at an individual level.
Key features
Identifying critical factors in purchase decisions
• Customer needs and objectives.
• Customer values and motivations.
• Product properties and their values for the customer.
Our approach enables the evaluation of actual customer behavior from basket data. By integrating data from multiple sources, a data-rich analytics environment is created, allowing:
• Identification and characterisation of main customer target groups.
• Identification and accurate forecasting of localised demand, both geographical and time-based.
• Identification of shopping patterns through basket analytics.
Our solution also includes propensity models for customer responsiveness to product category offerings.
Input data
• POS customer data at transaction level (receipts).
• Product and store basic information and product tree.
• Third party information covering geodemographics, query based data on values and motivations.