79% of policy submissions contain inaccurate information on average, due just to incorrect 6-digit NAICS codes.*
Misclassification, applicant error, and a lack of reliable data can result in adverse selection, improper risk pricing, and inaccurate premiums. This means serious dollars left on the table and more exposure than you thought you had.
*According to our studies over four years.