Case Study | Top 5 P&C Carrier Generates $10.2mm ROI from ForMotiv Lead Scoring Model

About the Case Study

ForMotiv engaged with a Top-5 P&C Carrier to improve the efficiency and incremental uplift of their remarketing campaigns. Using ForMotiv, they were able to segment users by buying propensity, personalize messaging, and align ad spending to their predicted likelihood of purchase. Their data science team had previously built an in-house lead scoring model for their marketing automation flows but found that traditional marketing analytics data lacked the robustness needed to properly train and tune their predictive models.

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

  1. Predict how likely an applicant was to purchase after receiving a quote
  2. Leverage behavioral data to craft the appropriate follow-up messaging
  3. Create more targeted ad campaigns leveraging ForMotiv data

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