Achieve utility decarbonization targets with Opower.
LMI customers face difficult challenges. Opower combines predictive analytics, personalized communication strategies, and a one-stop shop for connecting LMI customers with the energy assistance programs they need.
Identifying your LMI customers requires the right approach, data sets, and tools. The Opower identification and analytics solution uses predictive analytics that rely on layering multiple data sets to help easily identify LMI customers.
Reach your most vulnerable customers with personalized communications. Carefully tested communications lean on behavioral science techniques and UX research that inspire customers to take action.
Connect your customers to the Savings Hub, a one-stop shop where they can view a personalized list of assistance programs for which they’re eligible. Customers can
– Learn about programs for which they qualify and the documentation needed for applications
– See key enrollment dates and get answers to frequently asked questions
– Connect directly to the program application or website to get more details
Analyze multiple data sets from Opower and external sources to identify LMI customers.
Deliver personalized communications designed to inspire customers to take action and seek recommended energy assistance programs through the Savings Hub.
Make it easy for LMI customers who view the Savings Hub to understand program details and how to enroll.
Offer a seamless journey toward energy equity and affordability. Deliver a simple and engaging experience for customers to learn about energy assistance programs and enroll in them.
Jameela Belyeu, Senior Manager, Product Strategy and Marketing
Angella Alba, Senior Product Marketing Manager
When electricity and gas rates increase along with the cost of living, LMI customers face an even greater financial burden. Baltimore Gas and Electric is addressing that problem by empowering their most vulnerable customers to make sustainable changes that make energy more affordable.Read the complete post