CRM - May 2008 - (Page I-9) Sponsored Content May 2008 9 with Automated Customer Lifecycle Analytics The pressure on your organization to acquire and retain customers, as well as cross-sell and up-sell to them, is increasing. To meet this challenge your marketing campaigns must be more focused and effective than ever before. And you must not only understand customer behavior, but also predict it at increasing levels of detail. Unfortunately, first-generation data mining tools require your analysis team to spend a great deal of time and effort to manually create and maintain a very limited number of predictive models, making it cost-prohibitive to dig further into the data for better results. Out of necessity, you are forced to make do with just a few models and apply a “one-size-fits-all” approach to your campaigns. KXEN’s Data Mining Automation Solution is the next generation in modeling technology. It frees you from the productivity constraints imposed by first-generation tools, giving you the power to understand and predict customer behavior at a speed and levels of detail previously out of reach. KXEN’s customers often experience a 200-300 percent increase in overall conversion rates on their campaigns. They are able to execute more targeted and precise campaigns in a shorter time than with first-generation tools. And because KXEN automates the modeling process, customers can then free valuable analyst resources to address additional opportunities for generating value. CUSTOMER LIFECYCLE ANALYTICS IMPROVING BUSINESS PERFORMANCE KXEN's automated solutions allows you to quickly create and manage the large number of predictive models required to manage customer value across every combination of customer segment, product and channel. Increasing the value of your customer relationships is the primary goal. The ability to understand and predict customer behavior at each stage of the customer lifecycle is critical — the more detailed and focused your analysis of future behavior, the better the performance. Customer Lifecycle Analytics is your primary tool to achieve this. At each stage of the customer lifecycle, you must make a decision about whether to actively try to acquire or maintain that relationship, or whether to let that customer go because they aren’t likely to meet profitability goals. For customers identified as targets for retention or acquisition, you must perform a predictive analysis of what products and services to offer through which channels. Many businesses rely on first-generation data mining tools for this predictive analysis. While a step up from backwards-looking business intelligence tools, they are better suited to the glacial pace of academic research than to the breakneck speed of today’s business environment. Creating, tuning, testing and applying individual models with first-generation tools is a time-consuming, iterative, manual process, and can take weeks to generate a highly accurate model. A large staff of highly-trained, statisticians and modelers is required to create the large number of models necessary to effectively manage customer lifetime value with those tools. Keeping those models updated would consume nearly the same resources as was required to build them. Most marketing budgets are not sufficient to support the large staff required to create and maintain the models necessary for such a daunting task. Consequently, your efforts are often based on the hope that the rest of your customer segments will act like the few your analysts were able to model. Your marketing campaigns and customer retention programs will perform up to a certain level, but no better. KXEN DATA MINING AUTOMATION KXEN’s ground-breaking Data Mining Automation Solution allows you to create, deploy and manage large numbers of models in a fraction of the time that first-generation tools required to generate only a few. KXEN gives you the power to understand, predict and manage customer behavior at any level of detail, allowing you to effectively maximize customer value at each stage of the customer lifecycle. Our clients have experienced a 2-3X increase in conversion rates over campaigns driven by traditional modeling tools, resulting in a tremendous increase in their profitability. ABOUT KXEN KXEN, The Data Mining Automation Company, drives next-generation Customer Lifecycle Analytics for enterprises that depend on analytics as a competitive advantage. The KXEN Data Mining Automation Solution delivers significant improvements in customer acquisition, retention and cross-sell applications. Our solution integrates predictive analytics into strategic business processes, allowing our customers to drive greater value in their business. For more information please visit www.kxen.com www.kxen.com
Table of Contents Feed for the Digital Edition of CRM - May 2008 CRM - May 2008 Contents Front Office Feedback Reality Check Customer Centricity The Tipping Point Is CRM Too Hard for Microsoft Vendors Go Virtual For Feedback Sense-sational Marketing How UGC Can Benefit CRM DestinationCRM Dashboard Price Check, Aisle 5 Required Reading The Moving Target The Excellence Myth Seven Steps to SOA Success And They're Off! Are You Ready to Party? Skin in the Game The Right Numbers Secret of My Success Re: Tooling Connect Pint of View CRM - May 2008 CRM - May 2008 - CRM - May 2008 (Page Cover1) CRM - May 2008 - CRM - May 2008 (Page Cover2) CRM - May 2008 - Contents (Page 3) CRM - May 2008 - Contents (Page 4) CRM - May 2008 - Contents (Page 5) CRM - May 2008 - Front Office (Page 6) CRM - May 2008 - Front Office (Page 7) CRM - May 2008 - Feedback (Page 8) CRM - May 2008 - Feedback (Page 9) CRM - May 2008 - Reality Check (Page 10) CRM - May 2008 - Reality Check (Page 11) CRM - May 2008 - Customer Centricity (Page 12) CRM - May 2008 - Customer Centricity (Page 13) CRM - May 2008 - The Tipping Point (Page 14) CRM - May 2008 - The Tipping Point (Page 15) CRM - May 2008 - Is CRM Too Hard for Microsoft (Page 16) CRM - May 2008 - Vendors Go Virtual For Feedback (Page 17) CRM - May 2008 - Sense-sational Marketing (Page 18) CRM - May 2008 - DestinationCRM Dashboard (Page 19) CRM - May 2008 - Price Check, Aisle 5 (Page 20) CRM - May 2008 - Required Reading (Page 21) CRM - May 2008 - The Moving Target (Page 22) CRM - May 2008 - The Moving Target (Page 23) CRM - May 2008 - The Moving Target (Page 24) CRM - May 2008 - The Moving Target (Page 25) CRM - May 2008 - The Moving Target (Page 26) CRM - May 2008 - The Moving Target (Page I-1) CRM - May 2008 - The Moving Target (Page I-2) CRM - May 2008 - The Moving Target (Page I-3) CRM - May 2008 - The Moving Target (Page I-4) CRM - May 2008 - The Moving Target (Page I-5) CRM - May 2008 - The Moving Target (Page I-6) CRM - May 2008 - The Moving Target (Page I-7) CRM - May 2008 - The Moving Target (Page I-8) CRM - May 2008 - The Moving Target (Page I-9) CRM - May 2008 - The Moving Target (Page I-10) CRM - May 2008 - The Moving Target (Page I-11) CRM - May 2008 - The Moving Target (Page I-12) CRM - May 2008 - The Excellence Myth (Page 27) CRM - May 2008 - The Excellence Myth (Page 28) CRM - May 2008 - The Excellence Myth (Page 29) CRM - May 2008 - The Excellence Myth (Page 30) CRM - May 2008 - The Excellence Myth (Page 31) CRM - May 2008 - Seven Steps to SOA Success (Page 32) CRM - May 2008 - Seven Steps to SOA Success (Page 33) CRM - May 2008 - Seven Steps to SOA Success (Page 34) CRM - May 2008 - Seven Steps to SOA Success (Page 35) CRM - May 2008 - Seven Steps to SOA Success (Page 36) CRM - May 2008 - Seven Steps to SOA Success (Page 37) CRM - May 2008 - And They're Off! (Page 38) CRM - May 2008 - And They're Off! (Page 39) CRM - May 2008 - And They're Off! (Page 40) CRM - May 2008 - And They're Off! (Page 41) CRM - May 2008 - And They're Off! (Page 42) CRM - May 2008 - Are You Ready to Party? (Page 43) CRM - May 2008 - Skin in the Game (Page 44) CRM - May 2008 - The Right Numbers (Page 45) CRM - May 2008 - Secret of My Success (Page 46) CRM - May 2008 - Re: Tooling (Page 47) CRM - May 2008 - Connect (Page 48) CRM - May 2008 - Connect (Page 49) CRM - May 2008 - Pint of View (Page 50) CRM - May 2008 - Pint of View (Page Cover3) CRM - May 2008 - Pint of View (Page Cover4)
For optimal viewing of this digital publication, please enable JavaScript and then refresh the page. If you would like to try to load the digital publication without using Flash Player detection, please click here.