EagleEye Launches Customer Success Program for Analytics, Innovation

EagleEye Analytics, a provider of advanced predictive analytics solutions for the property & casualty industry, has launched the EagleEye Office of Customer Success, led by Marlowe Leibensperger, the firm's former senior vice president of business development. The new team will focus on helping insurance carriers bridge the gap between uncovering new predictive analytics insights, and taking action across the organization to leverage those insights to make changes to their businesses.

“We have created the Office of Customer Success to help our clients get the most from predictive analytics,” says Wade Bontrager, president and CEO of EagleEye Analytics. “Predictive analytics in insurance is a two-step process. The first step is finding answers and gaining insights. But the second step holds the real value to our customers: making improvements based on those insights.”

“When it comes to making business decisions based on predictive analytics, deciding what to do, how to do it, and when to do it is critically important,” adds Bontrager. “Our customer success team will help carriers with these decisions, strategies and implementation plans.”

Bontrager believes Leibensperger's leadership of this initiative and his deep understanding of the insurance business will provide tremendous value to EagleEyes's clients. Leibensperger has more than 15 years of insurance experience, and has been with EagleEye Analytics for nearly five years.

“There is a continued need to bring best practices to our clients,” says Leibensperger. “It's my intent to enhance our relationship with customers. Each client situation is unique, so through a consultative approach, we will develop custom predictive analytics strategies that produce results for every client. Not only will EagleEye's clients become beneficiaries of advanced predictive analytics, but we will also help them measure their success, so they realize the true power of what they are accessing, and can then communicate that throughout the organization. Ultimately, predictive analytics has to be accessible and easy to use across the whole organization—a critical factor to be competitive.”