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Exceeding Affordability Goals with AI for Income-Qualified Customers
Utilities are missing a critical opportunity to connect income-qualified customers with the programs designed to help them. Learn how AI and premises-level data enable precise targeting, improved engagement, and higher enrollment.
How Utilities Can Use Premises-Level Intelligence to Improve Program Enrollment and Customer Impact
Utilities have invested heavily in income-qualified (IQ) programs, yet enrollment continues to fall short. The challenge isn’t program availability—it’s identifying and reaching the right customers.
Traditional targeting methods based on ZIP code or census data lack the precision needed to uncover households that are truly energy burdened. As a result, many eligible customers remain unaware of available support, while utilities face inefficiencies and regulatory pressure.
Precision Targeting at Scale
Identify energy-burdened households using real consumption and behavioral data—not broad geographic assumptions.
Program Matching That Works
Connect each customer to the most relevant program based on their unique household characteristics and needs.
Continuous Optimization
Leverage real-time data and feedback loops to improve outreach, engagement, and program performance over time.
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