Case Study | P&C Carrier Monitors Agent Behavior and Reduces Manual Policy Reviews by 27%

About the Case Study

ForMotiv engaged with the Distribution team at a publicly-traded Property and Casualty Insurer with a large captive agent base in Q1 2022. Prior to the launch of ForMotiv’, the carrier was essentially blind to agent behavior. Their agent support and underwriting teams spent 10,000+ hours conducting manual reviews of policies. This caused high loss ratios amongst their least profitable agents and millions in operational costs resolving issues.

Using ForMotiv, the client was looking to accomplish 3 goals:

  1. Mitigate misrepresentation by agents
  2. Reduce manual reviews by agent support team
  3. Understand loss ratio and agent efficiency through behaviors

Trusted Across the Insurance Industry

lincoln financial formotiv customers
new york life formotiv customers

Trusted Across the Insurance Industry

Why Use ForMotiv Data?

Simple Integration

Easy Javascript integration deployed through your Tag Manager

Glass-Box Approach

5,000+ behavioral data points captured in each application. Accessible in real-time or batch file.

1st Party Behavioral Data

Granular, curated 1st-party data easily combined with your existing data sets

Intuitive Data Features

Capture dozens of intuitive behaviors like Hesitation, Error Rate Collections, Cognitive Loads, and more

Totally Safe & Secure

Zero PII Captured. GDPR & CCPA Compliant