AI for energy efficiency programs
Engaging customers around their energy use is a widely recognized challenge despite the strong ROI often associated with efficiency investments. According to Accenture, half of all customers will have no interaction with you, and those that do interact with you do so for on average, eight minutes per year. How do you get customers to invest in energy saving measures given this lack of contact? The key is to use AI to identify those customers who have a propensity to participate in your programs and engage with them in a personalized and targeted way.
Which households exhibit characteristics that lead to efficiency investments? We can define this and show you the best households to target.
Of households that have undergone an energy efficiency audit, who are most likely to move forward? Our propensity scoring identifies who is a good fit at the right time.
After adopting energy efficiency programs, who is most likely, based on location and their budget to use smart thermostats, install solar panels, or consider a retrofit of their home? Predictive analytics can help.
Artificial intelligence can ensure that you're building the best customer base possible. We look at key indicators from HVAC installation to solar adoption and even shopping patterns. You'll know which of your customers will stay with you.
See real time indicators of when customers may churn, whether it has to do with a move, change in income, or household retrofits.
- 2× lead conversion rate
- 4× campaign engagement rate
- ⅓ total ad spend
- 5× lead gen volume
The Faraday platform is core to our operations and has helped reduce costs and increase efficiency
Chief Commercial Officer, finance industry