On Thursday, February 2, Brendan Meany of Mather Economics will serve as a panelist for the INMA Predictive Data Analytics Driving Subscriber Retention Webinar, hosted by Patrick Tornabene of Newsday.
Here, Patrick will provide insight into leveraging the advanced predictive analytical tools of churn and persuasion modeling, including case studies on practical data-enabled strategies and applications that are delivering significant gains in retention and revenue for Newsday.
Additional panelists will include, Ned Kaufman and Erik Zenhausern both of Newsday.
Data analysis is evident in consumer economics and directly impacts our daily lives. The same is true in the publishing industry. In a recently published article for the CNPA (California Newspaper Publishers Association), Matthew Lulay discusses the growing use of data in publishing and how it is used in the subscription pricing process. View the full article here.
Mather recognized as one of the fastest-growing businesses owned and operated by UGA Alumni for the fourth year in a row. To view the annual list, click here.
As machine learning takes hold among executives, Arvid Tchivzhel warns, firms should learn from the mistakes of implementing Big Data projects. In a recently published article in the CIO Review, Arvid discusses Shifting from Big Data to Machine Learning, the lessons learned and why history should be your guide.
In a recently published article in Talking New Media, Matt Lindsay discusses the potential risk of capturing and using customer analytics. If the risk comes at a loss of the consumer’s trust, is the risk worth the reward? View the full article here.
Join us on Tuesday, Oct 4, 2016 2:00 PM EDT for the 3rd of our webinar series. Learn how Mather Economics can help you with digital product offerings, including Listener™, its Dashboard capability, predictive analytics, identity resolution and more at this third in a three-webinar series. The Mather team will explain how it uses digital data for dynamic metering, targeted email campaigns and targeted advertising using a publisher’s own data.