Inka Solutions announces R: Predictive Modeling Capabilities
New product offering delivers integrated option for predictive analytics including customer response scoring, price elasticity and demand forecasting modeling
June 17, 2019, South Lake Tahoe, CA -- Inka Solutions announces today the launch of a new statistical and predictive analytics solution for the publishing and media industry. Integrated R: Predictive Modeling will allow for customer response modeling, optimum pricing determination, and demand forecasting to better target digital and print customers.
With data intelligence such as demographics and lifestyle data, Inka Solutions utilizes machine learning to combine customer behavior, subscription information and prior campaign results to develop a predictive score that measures the likelihood for digital and print subscription purchase and at the appropriate price levels. Inka R: Predictive Modeling is powered by Alteryx predictive analytics, which utilizes linear regression, logistic regression and A/B testing.
“The advantage of Inka R: Predictive Modeling is our solid Inka Cloud CRM environment. Our core competency is data science and management. It makes natural sense for our clients to benefit from the existing data infrastructure already in place for direct marketing to deploy statistical models to further support both retention and acquisition programs,” says Evan Mecak of Inka Solutions.
About Inka Solutions
Headquartered in South Lake Tahoe, CA, Inka Solutions has core competencies in newspaper industry knowledge, business intelligence, data science, consumer retention and direct marketing. Our strength is our ability to leverage intelligent data practices learned over 110 years of combined newspaper experience and integrate with dependable, flexible technology resulting in cost-effective tools that generate positive revenue for our customers. In our 14th year of business, we are proud to have helped over 300 newspapers build profitable acquisition and retention programs.