It’s six to seven times more expensive to attract a new customer than it is to keep one you already have. For energy suppliers, finding better ways to engage current customers is critical to increasing revenue. In this report, we outline five ways energy companies can use predictive analytics and other techniques to increase their customer renewals.
Energy
Better Ways To Fuel The World
Fino knows the challenges the energy sector faces and how technology can help capture new opportunities. Our technology expertise helps top energy suppliers innovate and continue to succeed in a rapidly changing industry.
Keep more customers with predictive analytics
“More than ever, software either enriches or degrades your brand. To deliver on the promise to be trusted, remarkable, unmistakable, and essential, you need to harness software in every product and service interaction.” –Forrester
As the energy industry evolves, businesses need a technology partner that can help them stay ahead. At Fino, we combine our software, data, and design expertise to develop new ideas to help energy companies achieve their most important goals.
Elevate your brand
In today’s tough market, established energy suppliers need innovative ways to stand out from their competitors. Software is one of the most critical tools businesses can use to connect with their customers. We build software that helps energy companies engage their customers and enhance the value of their offerings.
Improve pricing & sales
With increasing competition in the retail energy market, suppliers need to offer the lowest possible prices while capturing the greatest possible margins. We develop software that instantly computes accurate electricity and natural gas prices and empowers salespeople to close deals quickly with optimal terms based on up-to-the-second information.
Know your customers
Energy companies depend on renewals to stay profitable, but turnover is a constant challenge. Fino’s data scientists and engineers build technology that lets suppliers collect and analyze vast amounts of customer data, and then use that data to identify customers at risk of leaving, automate a plan to keep them, and surface new opportunities to add value.