Replace manual handoffs with guided workflows, shared context, and measurable outcomes across every team.
Our machine learning models analyze behavioral patterns to flag customers with a high probability of leaving.
Instantly trigger win-back emails or loyalty offers when a customer hits a critical risk threshold.
Track and optimize CLV with predictive analytics. Identify your most valuable segments and invest accordingly.
Retention teams consolidated risk signals and offers into one system to trigger timely interventions.
Challenge
Risk signals were delayed and retention offers were inconsistent.
Approach
Automated risk scoring with playbooks and win-back workflows.
Launch Playbook
Week 1 - Risk model setup
Connected signals and calibrated thresholds.
Week 2 - Playbook automation
Launched offer workflows and triggers.
Week 3 - Save desk dashboards
Rolled out performance reporting.
Results
Automated churn scoring and alerts.
Retention offer playbooks by segment.
Save desk workflows with context.
Campaign ROI tracking.
“We act before cancellations, not after.”