“I see dozens of companies a week and only with ForMotiv have I seen true industry-defining technology. The underlying platform of DBI applies to a myriad of use cases in the fraud and security space.”
More Behavioral Data than Existing Solutions
Predictive Model Accuracy
Insurance Applications Analyzed
Behavioral Data Points Captured
1st Party Behavioral Data Analytics & Intent Scoring
As users engage with your digital forms and applications, they leave behind behavioral breadcrumbs that tell a story about their intent.
ForMotiv captures hundreds of these unique behavioral data cues, comprised of thousands of behavioral micro-expressions, while a user is actively filling out a form or application.
From there, we enable companies to create dynamic experiences that adapt and nudge users, in real-time, based on their behavior to drive the desired outcome. All of this is based on behavior data tracking.
We call this Behavioral Intelligence.
Example Use Cases for Insurance Analytics
Marketing & CX
- Lead Scoring
- Remarketing Intelligence
- Dynamic Experiences
Risk & Fraud
- Real-Time Risk Scoring
- Predict Nondisclosure
- Bot Detection
- Accelerated Underwriting
- Intent Scoring
- Dynamic Friction
Did Lemonade Kill the Loss Ratio?
Why you should (and shouldn’t) be worried about Lemonade
Top 6 Use Cases of Predictive Analytics in Insurance
The State of AI in the Insurance Industry Today
What is 1st Party Intent Data?
Recent laws & regulations are killing 3rd party data. You need 1st party data more than ever.
Hear what our customers think...
“You tell us when our agents are representing themselves better than our company. We’ve never had oversight like this because, frankly, we didn’t know it existed.”
“The ability to collect this kind of behavioral intelligence, in real-time, is amazing. Not only have we uncovered crucial behavioral data we never knew about before, but we’ve been able to pass known outcomes to ForMotiv and are now predicting these outcomes as the applicants are filling out the forms. It’s very slick.”