Prospect Modeling

Better Predictive Accuracy Through Automation

The most important asset companies possess is their knowledge of what has happened in the past. Companies can now leverage their historical, customer and/or third-party data and factor in current medical encounter information to better target their DTC marketing campaigns and develop predictive models. Predictive modeling is a proven technology that's been used successfully for decades by the largest financial and retail organizations to discover and target their most likely prospective customers. However, the cost and lengthy turnaround time of traditional modeling techniques has made it prohibitive for most companies – until now.

Our automated modeling software, modelMEDICX™, builds models "on the fly" from the source data inputs that have undergone extensive quality analysis. They are built with patented genetic algorithms that enhance productivity by automating the tedious, time-consuming data analysis process and, by reducing the total model development cycle time from weeks or months to days.

This allows you to discover breakthrough opportunities and leverage hundreds or even thousands of data attributes in analytical models, reducing the manual process of selecting variables and guessing at your outcomes.

• We deliver 10-15% better predictive accuracy versus traditional regression-based techniques on critical success metrics such as response rates or retention yields
  
• We reduce model development time by 50-75% through automated data attributes
• We explore thousands of data attributes to provide better insight
• We eliminate manual data preparation
  
• We update models on a daily or weekly basis to reflect the most recent customer or third party data
  
• Predictions are based on genetic algorithm technology that can find subtle patterns of customer behavior by allowing you to work with 100% of the available information rather than just a subset of the available information

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