Sinopsis
Looking for the straight talk on making smarter marketing decisions, increasing revenue and building stronger customer relationships? Then join us for an 8-part weekly series of conversations between Jeff Gilleland of SAS and Karen Heath of HP, two leading customer intelligence experts. During each fifteen-minute segment, you'll hear best practices and insightful ideas about how to harness customer insight to create value and profit. There's no product pitches or sales agenda - just a lot of great ideas about how you can achieve more value and profit for your organization through more effective marketing.
Episodios
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Measuring and Reporting What Matters Most
06/11/2008 Duración: 15minIn this episode, we?re going to explore how to establish key customer oriented metrics and incorporate accountability into your marketing organizations and lines of business. This is all about tearing down organizational and informational silos and creating a more standardized system of reporting and analysis. We?re glad to welcome back Michele Eggers, for this animated discussion about building a strong integrated marketing platform that facilitates growth and gives you a complete view of your enterprise.
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Tracking Down Your Most Profitable Customers
30/10/2008 Duración: 15minJoining the conversation today is Michele Eggers, Customer Intelligence Global Practice, SAS. She?s going to share her insight with us about how organizations can integrate their customers, products and offers into a complete, multifaceted marketing campaign by exploring new media types and getting smarter and more interactive in their customer communications.
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Optimizing Your Segmenting Strategies
23/10/2008 Duración: 17minJoining us for this episode is Brent Lever, Solution Architect, SAS. We?ll delve deep into contact optimization and talk about some specific steps needed to improve your organization?s marketing campaigns and customer segmenting strategies. We?re also going to address some important questions for your organization to consider, such as when is the best time to contact your customers; what channel or channels are the most effective; and, what are the most attractive offers?
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Achieving a Complete Customer View
16/10/2008 Duración: 15minIn this episode, we?ll explore how your organization can achieve a complete customer view. If it sounds like an overwhelming task, you?re not alone. Uncovering hidden traits about your customers and calculating their profitability can be a difficult process for many organizations. Joining the conversation is Tony Adkins, Product Manager, SAS. He?ll share real world examples with us about how new technologies can enable an organization to segment and profile its customers based on profitability and bring about positive change.
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Knowing Your Customers' Next Step
10/10/2008 Duración: 14minWe'll explore how you can use predictive analytics to know your customers' next step. Predictive Analytics is crucial in enabling organizations to predict customer behavior and understand what individuals and segments will provide a greater ROI. Joining the conversation is Tonya Balin, Analytics Product Management, SAS, as we explore how an organization can drive value by focusing less on historical data and more on answering forward-looking questions such as "Which customers are more likely to respond to a marketing campaign," and "Who are my most profitable customers?"
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Making Customer Data Work for You
01/10/2008 Duración: 14minThis is the first installment in our eight-part series, Grounds for Conversation. Today's discussion is all about making customer data work for you. Digital information is expanding more rapidly than ever, and the need to efficiently manage dynamic customer data is becoming more and more important each day. In this episode, we explore how to turn the changing needs and profitability of customers into a competitive advantage. We'll talk with data management and data quality expert Dan Soceanu, Product Marketing Manager, DataFlux, about real-world scenarios and how organizations can improve the access to, integration of, and quality of enterprise wide customer data.