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.
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.
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.
