Recommendations
Finding the best ways for customers to save on their energy bills.
Our energy insights help us figure out the best ways for customers to save energy.
We rank hundreds of actions and purchases based on their payback period and their popularity among people in nearby communities.
How Our Recommendation Engine Works
Our recommendation engine ranks hundreds of no cost actions, low cost purchases, and major home investments based on their payback period and popularity. For the very first time customers don't have to make energy savings decisions in the dark.
Energy Science Models
We leverage over 500 million data points to create hundreds of educated guesses about our customers home and lifestyle habits.
Profiling Zip Codes & Homes
We access a ton of information about the spending and energy use characteristics of people in customers neighborhood. As well as specific information about their home like it's square footage, heating and cooling, and number of rooms.
Weather
We access in real time three different weather services to get up to date information on how our customers home energy use is impacted by the weather in their area.
Energy Production and Transmission
We model with unprecedented accuracy where our customers energy is coming from, and its impact on the environment.
Product Modeling
We track the efficiency of every model of every major appliance over the last 10 years. To create personalized product recommendations that make sense for our customer.
