Carpe Data’s Smoker Assessment Score provides Insurers with a non-invasive and inexpensive assessment method of an applicant’s smoker status. Confidence levels are supplied with each score, as applicants are designated as Smoker, Non-smoker, or unknown. By utilizing our Smoker Assessment Score, Carriers can significantly reduce the cost and time to underwrite by fast-tracking non-smoker applicants through the underwriting process.
Our Lead Qualification Score assesses applicants in real-time based on their online data. Social data characteristics are incorporated in the point of sale process to segment risks, allowing for identification of individuals more likely to qualify for target programs. Applicants are assigned scores that correspond with their likelihood of qualification, allowing Carriers to make informed decisions and segment risk into specific programs.
Employing our proprietary technology and scoring algorithms, the Substance Abuse Score provides a real-time assessment of an applicant’s substance abuse risk. Applicants are scored into three distinct categories: high risk, low risk, or unknown, with a confidence level provided with each score. Our Substance Abuse Score algorithm is built upon the principles of data science and hours of use cases, ensuring a relevant and accurate assessment of applicants
Leveraging proprietary data aggregation technology, Carpe Data identifies and mines publicly available online obituary data sourced from across the web. Vital Status provides carriers with an expansive and inexpensive means to update, supplement, and strengthen death master record data with up-to- date mortality data.
Carpe Data’s Life Events product allows Carriers to obtain real-time alerts for significant life events. Insurers can re-engage with customers as their insurance needs change based on an important event, enabling better coverage and customer service. Receive notifications for milestones such as:
Carpe Data’s real-time predictive fraud scores assess risk during claims filing, determining the likelihood of a fraudulent claim based on a claimant’s online presence. By using social and online data, Insurers can reduce cost while detecting fraud risk.
– Obtain relevant results in real-time
– Avoid unnecessary investigations
– Route claims more effectively