It is a technique that uses three key factors - Relevance, Frequency and Monetary Value - to segment customers according to their importance. In this way, one can understand which customers are the most valuable and develop targeted marketing strategies.
It is an algorithm that examines the purchasing habits of customers and identifies the products that are most frequently purchased together. This allows our customers to suggest related products to their customers, improving their shopping experience.
It is a technique that calculates the monetary value of a customer over time. This helps companies identify the most valuable long-term customers and focus their resources on them.
It is an algorithm that uses customers' historical data to predict their future purchasing behaviour. In this way, companies can anticipate their customers' needs and offer relevant products and services.
It is a technique that analyses data from customers who have abandoned the brand to identify the reasons for their departure. This helps companies improve the customer experience and reduce the abandonment rate.
Module for exploring the salient characteristics of customers to better support retail and contact centre operators.
The highly customisable platform can be integrated with all marketing automation and campaign management software.
DAFNE enables you to gain a comprehensive overview of your customers’ behaviour through advanced analysis of buying trends and sales opportunities, and enable informed decisions based on accurate and reliable data.
With advanced analytics and customised reports, you can identify areas for improvement and make data-driven decisions to increase sales and customer loyalty. DAFNE is designed to help sales and marketing teams collaborate better, increase sales opportunities and improve customer satisfaction.