Combines transaction, service and behavioral data into customer profiles and segments, with explainable tag definitions to support precise outreach.
Find high-value customers at risk of churning in the past 90 days, and explain the reasoning.
143 high-value customers are at risk of churn: purchase frequency down more than 50% in the past 90 days (96), an unresolved recent complaint (31), or both (16). A list with recommended outreach methods has been generated.
Customer data is split across transaction, customer service and marketing systems, so sales usually sees only part of the picture. This template merges the sources under a unified ID and builds profiles covering value tier, preferences, lifecycle stage and churn risk, with each tag explaining how it is calculated and where the data comes from.
Profiles show different fields to sales, customer service and marketing roles, and sensitive information is masked by permission. Business teams can adjust segmentation rules themselves without developer involvement.
Prepares customer background and interaction history before a visit, writes the follow-up notes and updates the CRM afterwards, so sales reps spend their time with customers.
Assesses deal health and win probability, identifies why deals stall and what to do next, and helps sales managers focus on the opportunities that matter.
Most customers go live after changing 20–40% of a template. Book a workshop and we will assess it together.