What We Do

We develop solutions for sales and marketing with our advanced analytics framework for retail that provide advanced insights into key metrics such as customer acquisition cost; customer lifetime value to predict revenue potential and the true value of closed sales; pipeline analysis to manage balance new opportunities with those closing and maintain a healthy pipeline.

Sales Analytics

Improve targeting and uncover new cross-sell opportunities. Assess pipeline performance and gain insight into the stage, history, and aging. Use predictive models to target high-revenue markets and prospects.

Customer Analytics

Use customer feedback, transaction history, and behaviors to design loyalty programs and initiatives; improve customer experience through insights; identify causes, analyze, and lower customer churn.

Customer Segmentation

Leverage data assets to present a relevant offer or action to a customer or prospect. Use machine learning to identify behavioral signals and information at scale in a way that humans created rules cannot.


They are always collaborative in their interactions with our team and will continue to be a key resource and strategic partner when evaluating current and planning for the introduction of new technologies.”

- John Doe, UMass Amherst

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