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Insurance Analytics for the Digital Transformation

Insurance analytics solutions from ForMotiv measure the real-time "Digital Body Language" of how customers and agents engage with insurance applications and then generate an "Intent Score" to help carriers understand the motives of their users.
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Measure Behavior.
Predict Intent.

ForMotiv measures the real-time "Digital Body Language" of how customers and agents engage with insurance applications and then generates an "Intent Score" to help carriers understand the motives of their users.
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Insurance Analytics: Risk and Fraud Solutions

Real-Time Risk Alerts
ForMotiv’s insurance analytics solutions allow you to know, in real-time, if customers or agents are showing increased signs of risk and further qualify your applications accordingly.

Dynamic Security
Dynamically add or remove friction based on a users “Risk Score.”

Predict Applicant or Agent Intent
Know if a customer is likely to be profitable, a delinquent payer, or have an increased propensity for risk & fraud.

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Insurance Analytics to Increase Revenue

Application Optimization for Customers and Agents
After analyzing the applicant flow, ForMotiv will provide explanation-based A/B recommendations on how to better optimize your application for better user experiences and increased conversions.

Adjust Re-Marketing Intensity
Use ForMotiv to identify ‘high-quality applicants’ who did not finish the application and use that audience for remarketing efforts.

Dynamic Engagement
ForMotiv’s insurance analytics solutions enable carriers to dynamically engage with users as they are on your forms with FAQ help, Live Chat, and Special Offers.

Insurance Analytics Understand Agent Behavior

Enhance the Agent Experience
The agent experience matters. Optimize agent applications and workflows based on the desired user flow to increase UX.

Uncover Agent “Gaming”
“Trust, but verify.” ForMotiv “Forensics” provides a full audit trail for carriers that leverage shared producer-customer e-apps. Gain insight into your agent behavior and spot situations where agents are improperly acting in their own best interest.

Agent Performance
Learn which agents and MGAs are your most efficient and profitable. Why do others not work as efficiently? How much time do they spend per page and application? And how often do they abandon or “save and exit?”

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Example Use Cases for Insurance Analytics

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Life Insurance Analytics

Reflexive e-med questions typically see the highest rates of application manipulation. Example: when an applicant notices supplemental questions due to a previous response, they will change their original answer to get through the app faster or appear better on paper than they are in reality. ForMotiv will notify you of such behavior as it is happening

Property & Casualty Analytics

Each industry represents distinct behaviors that indicate levels of risky behavior. One ForMotiv customer is notified when an end-user submits an application to receive an estimated quote, then uses the browser back button to change their answer for their previously insured carrier to receive a better rate.

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Claims Analytics

Understand if a customer or agent is manipulating claims information. Behaviors such as re-uploading pictures, changing answers, and other potential risk signals, when combined, can indicate an increased level of risk. ForMotiv alerts you in real-time if a user passes the risk threshold.

Ready to unlock Digital Behavioral Intelligence?

Easy to Integrate. Easy to Use. Totally Safe & Secure.

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Easy Integration

ForMotiv’s JS Snippet embeds inside of your Tag Manager, directly in your website, or through our API and instantly begins tracking form inputs.

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Easy to Use

24/7 access to the ForMotiv portal gives your team real-time data analytics on each individual applicant. Drill down on specific applications, questions, and user actions.

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Zero PII Required

Your data is totally secure as ForMotiv requires zero Personal Identifiable Information (PII).

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Own Your Data

Your data is just that, yours. ForMotiv provides you access to all of the raw data collected. No customer or outcome information is used with other customers.