Using data science to help your most vulnerable customers during and after COVID-19

Utilities can use quantitative data to better understand their customers as individuals—or as an audience of one—and target offerings specific to their distinct needs. This is especially pertinent during the pandemic with customers who are likely to become unable to pay their utility bill 6 to 24 months into the future. That information can give you a valuable head start on creating and promoting programs that can help your customers save energy and money, as well as developing short- and long-term payment strategies, specifically tailored to the unique circumstances of your at-risk customers.

This year, many customers are finding it especially challenging to pay their bills on time. COVID-19 has taught us the importance of offering programs and services to new-to-arrears customers before they face a crisis. As we move into the first winter of the pandemic, we’ll share results from two predictive arrears modeling projects that can help you identify and assist the customers who need it most.

Moderator:
Jessica Bailis, Associate Solution Director, Marketing and Communications, E Source

Speakers:>
Rachel Buckley, VP, Enterprise Strategy and New Products, E Source
Tom Martin, Managing Director, Data Science, E Source

Questions about this event? Email us.