WHITE PAPER
Exceeding Affordability Goals with AI for Income-Qualified Customers
Improve Program Enrollment and Customer Impact
Utilities are investing in income-qualified programs—but enrollment still lags. The issue isn’t availability. It’s targeting the right customers.
ZIP code and census data miss the mark, leaving high-need households underserved and programs underperforming.
This whitepaper shows how AI and behind-the-meter intelligence help utilities:
- Identify true energy burden at the household level
- Match customers to the right programs
- Adapt targeting as conditions change
- Drive higher engagement with personalized outreach
Move from broad assumptions to precise, data-driven action.
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.