How Maximus Energy Reduced Churn by 34% in 90 Days
A leading energy fintech used DiCorner's cognitive behavioral scoring to detect at-risk customers weeks earlier than traditional analytics and took action before it was too late.
The Challenge
Maximus Energy, a fast-growing energy fintech serving over 50,000 customers, was experiencing a 12% monthly churn rate that was threatening their growth trajectory. Their existing analytics stack relied on lagging indicators by the time a customer showed up as "at-risk" in their dashboards, it was often too late.
Key challenges included:
- Traditional metrics (login frequency, support tickets) detected churn too late
- Customer success team was reactive, not proactive
- No way to prioritize which customers needed immediate attention
- Compliance requirements meant they needed explainable decision-making
The Solution
Maximus Energy deployed DiCorner's cognitive scoring engine and NBA (Next-Best-Action) system to transform their approach to customer retention:
Behavioral Event Ingestion
Integrated DiCorner's SDK to capture 15+ behavioral signals including session depth, feature usage patterns, billing page visits, and support interaction sentiment.
Multi-Dimensional Scoring
Configured engagement, friction, momentum, and intent scores tailored to their customer journey. Each score uses transparent, auditable formulas.
Automated NBA Triggers
Set up action rules that automatically dispatched personalized interventions from in-app tips to CSM outreach based on score thresholds.
Compliance Documentation
Every scoring decision and action recommendation was logged with full audit trails, meeting their regulatory requirements for explainability.
The Results
Within 90 days of deployment, Maximus Energy saw transformative results:
"DiCorner gave us something we've never had before: the ability to explain exactly why we flagged a customer as at-risk and what we did about it. Our regulators love it, and our churn numbers speak for themselves."