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Marketing Analytics

Advanced Techniques and Business Applications 

23 - 24 April 2008
Jurys Great Russell Street Hotel, London

Day 1: The Techniques of Marketing Analytics
How to make the most effective use of Advanced Analytics Techniques

Day 2: The Business Applications of Marketing Analytics
Issues in deploying analytics and real-world case studies to illustrate the business applications

 

This Conference is designed for all those in Marketing Analytics, Customer Insight, Market Research and Database Analysis. A whole host of mathematical and statistical methods are available to help you plan and take actions most efficiently and effectively. Over two invaluable days, you will learn how to get the most from these methods and how to apply them successfully in your business.

Day 1 of this conference briefs delegates on advanced analytics techniques and how they should be used:

  • What advanced analytical methods are available?
  • What they can deliver and what business problems they help to solve
  • When to use them and when they should not be used
  • How they work and what are their underlying concepts
  • Rules to ensure you do not misuse or misinterpret them
  • Tips and tricks for getting the most out of these methods
     

Day 2 focuses on the practice of Marketing Analytics and the application of analytic techniques:

  • How analytic techniques can deliver ROI and improve business performance
  • How customer insight can drive business decision making
  • How to achieve success with customer segmentation
  • How to convert advanced analytics into sustainable business applications
  • Take part in our Customer Insight Forum on the data issues that affect all users of analytics
  • Learn from practical case studies on deriving business value from analytics

Essential for all those involved in analytics, insight and research, including:

  • Marketing directors and managers
  • Heads of customer insight, customer insight managers and analysts
  • Campaign managers and analysts
  • Direct marketing managers
  • CRM managers
  • Data mining consultants and analysts
  • Database managers and analysts
  • Data planners/buyers
  • Market researchers and consultants
  • Marketing strategy managers and developers

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