Conversion prediction modeling uses a variety of weighted factors to predict the propensity for a buyer to complete a purchase at any given time. It uses artificial intelligence and machine learning to analyze past behaviors to identify the traits and signposts that someone is at the threshold of purchase. Machine learning algorithms constantly refine and improve scoring models for high accuracy.

The PivotBillions Conversion Prediction Module (CPM) scores each visitor to your site(s) and calculates a conversion propensity (CP) score in real-time. Getting the right offer in real-time to visitors with high CP has been demonstrated to dramatically improve the conversion rates and increase revenue.

At the same time, the CP score can reduce marketing waste by inhibiting serving offers to visitors who do not exhibit a propensity for conversion within a target time frame.