In this era of data deluge, the ability to harness advanced analytical methods to gain deeper insights into our customers is becoming an increasing source of differentiation. In April 2012, Ipsos announced the creation of the Ipsos Science Center, a specialist unit dedicated to research and development into the latest methods of uncovering insights from information.
Ipsos Hong Kong is excited to have Bruce Tedesco, Global Chief Science Officer, here to deliver a seminar titled ‘New Leading Methods of Insight’.
The topics he will speak on include:
Holistic Customer Segmentation
Many organizations manage their customer relationships through CRM programs. This typically provides information into the behavior of the customers. When augmented with an understanding of psychological attitudes and motivations, the potential to enhance these relationships and unlock further business opportunities would be greater.
Customer Churn Modeling
One of the most important problems facing marketing and customer relationship managers today is the issue of customer retention. Using advanced modeling, we anticipate the number of customers who will remain active for a certain period of time after acquisition.
Causal Driver Analysis
In this increasingly complex world of brand and consumer interaction, clients would like to create order out of the chaos and find out what drives customers’ attitudes and choices. We demonstrate the latest thinking in causal analysis to derive answers to such questions – by outlining the key factors, mapping out the cause and effect relationships among them, and simulate What-If scenarios for planning purposes.
Healthcare Physician Adoption Model
For players in the health products market, it is crucial to understand the factors that drive which brand(s) physicians would adopt and prescribe to their patients. We present healthcare clients a system to understand patient flow dynamics, physician adoption and prescribing patterns for their brands.
Agenda: Registrations & refreshments: 4.30PM – 5.00PM
Presentation: 5:00PM – 6:00PM