We combine our Big Data assets with a purpose-built Machine Learning platform optimized for direct marketing applications.
The platform optimizes your acquisition, upsell and retention campaigns, enabling you to cost-effectively obtain more customers and maximize their value. This approach generates results that are 15% – 30% greater than traditional segmentation models. Think of it as modeling on steroids.
For decades, the workhorse in statistical modeling has been regression analysis. Incremental advances have been made over time, however, the underlying structure of the approach hasn’t changed much in the last 20 years.
Unfortunately, traditional regression analysis begins with a reduction in the size, depth, and complexity of the information being analyzed. This inherent weakness creates trade-offs which negatively affect model performance. It also creates waste as valuable prospect records are discarded to reduce overall model complexity. In fact, most regression models utilize only a handful of variables in their final solution.
The volume and complexity of marketing data available today is unmanageable using traditional modeling and data mining techniques, highlighting the need for a better approach.
Machine learning gives computers the ability to learn from data without relying on a rules-based program and is unconstrained by the limitations of scale and complexity associated with traditional modeling approaches.
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