Calculation of purchase probability, as well as deep segmentation of the customer base using AI and analysis of behavioral and transactional data from CRM|CDP systems.
Technological solutions for CRM marketing personalization
HackCRM solutions focus on deep analytics of customer and behavioral data from CDP systems to predict and manage your buyers' behavior
Micro-segmentation of the customer base
Mini-clustering is an approach at the intersection of RFM and Lifestyle segmentation across the entire available feature set, allowing each customer to be characterized in various aspects of their consumer behavior.
Working even with small segments is justified by the high homogeneity of such groups.
DetailsCustomer purchase probability forecasting
Calculating the probability of a specific useful action (conversion, purchase) by a specific customer in the database enables various CRM and Performance strategies and increases communication precision (RPC) through optimal mechanics.
Dynamic metric calculation will increase Average Revenue Per User (ARPU) and campaign ROI, reduce customer churn, and transition customers to more valuable segments in a timely manner.
DetailsIdentification of customer purchasing drivers from CRM
The module identifies consumer drivers from CRM communications. Purchasing behavior drivers help understand which types of mechanics and brand offers a customer is more likely to respond to. By evaluating reactions to communications, the model identifies the best-performing ideas at the individual customer level.
DetailsObtain JTBD insights from AI-driven interviews
A tool for conducting JTBD interviews in a conversational format. In a 5-7 minute conversation with each client, the AI assistant identifies their core needs and the "jobs" they are considering "hiring" a brand for, or have done so in the past. The successes of JTBD methodology in product analytics and feature development are being actively transferred into the CRM space.