San Francisco 2007: Sessions & Agenda


 

Spotlight Session:
Customer Centricity — Driving Top-Line Growth through Deeper Customer Focus

Wednesday, 11:00 - 12:00
Jonathan Rotenberg, Business Strategy Consulting, Fair Isaac
Matt Guenin, Business Strategy Consulting, Fair Isaac

Why is "customer centricity" so valuable to the firms that implement this strategy, and how do they make it happen? How do the principles, technologies and approaches differ from what companies are already doing today under the banner of Customer Relationship Management? In this session, the leaders of Fair Isaac's customer centricity practice — who work with some of the world's biggest brands — will define the discipline, and explain how customer focus can lead directly to faster top-line growth.

Mining Massive Data Sets: You Can Boil the Ocean After All!Wednesday, 2:45 - 3:45
Dr. Gerald Fahner, R&D, Fair Isaac
Banks, insurers, retailers, and telecommunications providers are swimming in data generated by millions of annual transactions with millions of customers. These firms know there’s value here, but mining the data has been like trying to boil the ocean – until now.  Dr. Gerald Fahner explains new analytical methods that use automation and scalable computing to find the hidden gems in huge data sets.  With applications in marketing, risk management, fraud detection and elsewhere, this approach has the potential to revolutionize how customer-centered predictions are made.

Customer-Centric Segmentation Strategies
Wednesday, 4:00 - 5:00
Jeriad Zoghby, Analytic Consulting, Fair Isaac
Industry leaders have used customer-centric principles to gain competitive leverage across all aspects of marketing and enterprise strategies. See examples of how organizations have create holistic customer segments to drive messaging, creative and offer development — and how the latest segmentation technologies help identify the distinct differences in these customer segments.

Continuous Pricing — A Case Study
Wednesday, 4:00 - 5:00
Brian Burdick, Vice President, Senior Risk Officer, Dell Financial Services
Robin Green, High-Tech Market, Fair Isaac

Dell Financial Services had an unwieldy, inflexible originations and pricing system that couldn’t keep up with its impressive growth. Working with Fair Isaac, DFS developed a vision for a “Universal Decision Engine” — an efficient, integrated solution based on Fair Isaac’s Enterprise Decision Management approach. Find out how this system is enabling Dell to better manage fraud and risk, target offers more accurately, adopt continuous pricing and leverage an array of data sources for its decisions.

Fingerhut: Using a Decision Service Provider to Double the Rate of Customer Acquisition
Wednesday, 5:15 - 6:15
Jennifer Kemp, Vice President. Business Intelligence, Fingerhut Direct Marketing
Paul Willems, Director, Database Marketing, Fingerhut Direct Marketing
Jane Johnson, Retail Market, Fair Isaac

Fingerhut, a national direct retailer, pioneered the sale of everyday merchandise in combination with offers of credit. Learn how Fingerhut has turned to a “Decision Service Provider” model as a consolidated source of consumer information, dramatically lowering its costs for procuring and applying external customer data. Understand how advanced analytics have significantly improved Fingerhut’s ability to identify unique prospects in partner databases and helped them more than double their rate of customer acquisition. See how this approach has allowed their analysts to focus on higher-value added activities and raise the overall sophistication of their marketing programs.

Customer Centricity in Action: Best Buy
Thursday, 4:45 - 5:45
Matt Smith, Senior Director, Customer Insights, Best Buy
Jane Johnson, Retail Market, Fair Isaac

Last year, Best Buy told an InterACT audience about its drive to be a leading “customer centric” retailer. In 2007, the speakers return to explain how Best Buy’s approach has matured and improved still further over the past year. Customer centricity is now a company-wide mantra that affects Best Buy’s entire operation. Learn the disciplines that helped Best Buy outperform its sector by more than four-fold over the past 5 years and generate $1 billion+ earnings in 2006. See how you can realign your organization around your customers to attain exponential gains in financial performance.

Search for the Right Keyword Bidding Price
Friday, 10:00 - 11:00
Jun Hua, R&D, Fair Isaac
Are you bidding the right amount for search engine keywords? While many marketers are still taking a hit-and-miss approach, Fair Isaac has achieved dramatic results using advanced analytics to optimize search engine keyword bidding strategies. Our results have shown that it is possible to increase sales by 40% with the same level of spend, or reduce bidding costs by 50% while keeping sales steady. Learn how your firm can develop, implement, and track optimal bid strategies in a highly dynamic online marketing environment.

What's Next? Finding and Delivering the "Best Next Action"
Friday, 2:00 - 3:00
Jeff Zabin, Precision Marketing, Fair Isaac
Despite the increasing pressure that marketers face to demonstrate marketing ROI and allocate their resources more effectively, the vast majority of messages and offers continue to reach a large number of the “wrong people” through the “wrong channels” at the “wrong time.” In addition, marketers continue to treat and reward customers in ways that are inconsistent with their individual wants, likes, interests, preferences and situations, as well as with their current and future value to the company. All of this underscores the importance of leveraging customer data to enable best-next-action marketing decisions. In this session, Jeff Zabin, author of the bestselling book Precision Marketing (Wiley, 2004), will draw upon some uncommon sources of inspiration, from Napoleon Bonaparte to George Jetson, to survey some of the emerging technologies and analytics capabilities for interacting and transacting with customers to maximize customer value and profitability.

Note: Topics and speakers subject to change.