The Digital Transformation
As customers continue to demand seamless online experiences, businesses have shifted from “Face-to-Face” to “Faceless” interactions. With that, the innately human ability to understand intent by reading and reacting to body language has been lost.
ForMotiv’s A.I. powered Digital Behavioral Intelligence platform solves this problem by analyzing a user’s digital body language and using predictive behavioral analytics to provide critical insights into user’s motives and intent.
ForMotiv's "Digital Polygraph"
Explanation-Based Predictive Behavioral Analytics
ForMotiv’s “Digital Polygraph” measures thousands of unique behavioral signals captured as users engage with a form or application. Using a combination of A.I., machine learning, and predictive behavioral analytics, we’re able to analyze users digital body language and predict their intent.
Armed with actionable, explanation-based behavioral intelligence, ForMotiv enables companies to optimize their online experiences, predict outcomes such as risk and fraud, and create dynamic online experiences tailored to each unique user.
Digital Behavioral Intelligence
ForMotiv does not measure "what" users answer, we measure "how" they answer.
+5,000 Unique Behavioral Data Points Collected per Application
Collecting Digital Behavioral Intelligence is critical for businesses today
With the right kinds of intelligence about the actions and behaviors of users, companies can deconstruct behaviors to obtain their root causes. This information not only allows them to understand the intentions, motivations, and plans of end-users, but companies can even predict the future actions that the users will take.
By offering unprecedented insight into user behavior, ForMotiv helps enterprises reduce risk and optimize the user experience, without sacrificing security.
Predict and Reduce Risk & Fraud
- Detect behavioral anomalies
- Real-time “Applicant Intent Scoring”
- Monitor Agent Behavior
Optimize the Customer Experience
- Form Friction & Bottleneck Analysis
- Explanation-based A/B Recommendations
- Abandonment Detection
Increase Top-Line Revenue
- Dynamic Engagement
- Adjust Re-marketing Intensity
- Real-time Conversion Tracking