To improve retention, it is essential for CSP's to provide better proactive price plan recommendations, that maintain or increase revenue while increasing customer satisfaction and loyalty, as well as more informed reactive save offers. After all, when customers experience steep penalties for exceeding plan-specified limits or charges for services they don't use, they often take their business elsewhere. Accurate, full-scale simulation of customer bills under multiple alternative price plans, along with automated recommendations based on business goals and constraints can put this power in the hands of marketers and product managers. In addition, the bundled offers you send customers may actually increase churn and it's critical to focus marketing efforts on those customers that will react positively to an offer, while weeding out those that will buy anyway, will never buy, or could react negatively to a solicitation. Join Patrick Surry, GSO of Customer Analytics of Pitney Bowes Software as he discusses retention strategies as it relates to offer and communication management.Date: 19 Apr 2012
Time: 11 AM - 12 PM
Time Zone: EDT (USA)
Speaker: Patrick Surry (Vice President of Technology at Portrait Software)
Brief About Speaker: Patrick Surry: Dr. Surry is an expert on uplift modeling, with a wealth of experience in real-world delivery of customer insight, predictive analytics and behavior modeling. One of the founders of Quadstone (acquired by Portrait Software), he has been responsible for many of our high profile success stories with blue-chip clients spanning applications such as response, risk, attrition, value, customer profitability, and targeting for direct marketing. He is currently involved in guiding the development of our next generation of visual insight and analytics applications. Patrick holds a PhD in mathematics and statistics from the University of Edinburgh, where he studied optimization based on evolutionary algorithms, following an HBSc in continuum mechanics from the University of Western Ontario.