White papers

  • 16 Mar 2010

    Using customer analytics to predict future customer behavior

    By David White, Aberdeen Group

    Building on Aberdeen’s Benchmark report published in May 2008 (Predictive Analytics: The BI Crystal Ball) this current benchmark report, "Predictive Analytics: The right tool for tough times" is based on data collected from 159 active users of predictive analytics and data mining technology during January and February 2010.

    Enterprises are under pressure to predict the future...

  • 1 Mar 2010

    Delivering on the customer-centric philosophy

    The term customer-centricity, which is based on the concept of an organization orientating itself around the customer, has been around for the best part of half a century but in most cases has never been realized.  There are a small handful of companies that have started the journey but realistically only a small minority can claim any degree of success. So why is it that not more companies have embraced and successfully delivered on...

  • 4 Feb 2010
    Executive Summary

    In Forrester's 53-criteria evaluation of predictive analytics and data mining (PA/DM) vendors, we found that SAS Institute, SPSS (evaluated separately from new parent IBM's other PA/DM offerings), KXEN, Oracle, Portrait Software, and IBM (pre-SPSS acquisition PA/DM offerings) head the pack with mature, sophisticated, scalable, flexible, and robust solutions. SAS leads, providing the most feature-rich solution portfolio and, through its recent expansion of enterprise...

  • 22 Jan 2010

    Using customer analytics to improve marketing performance

    By Jeff Zabin, Aberdeen Group

    The research for this report examines the various technologies, analytics capabilities, organizational resources, business processes and performance metrics that bring to life the concept of offer optimization. Between July and September 2009, Aberdeen examined the use, the experiences, and the intentions of more than 200 diverse enterprises engaged in data-driven marketing improvement.

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  • 3 Nov 2009

    Addressing customer churn using uplift modeling

    By Suresh Vittal, Forrester Research

    This exciting report from Forrester Research discusses how organizations can use uplift modeling to optimize customer retention programs, beyond the results they're getting from today's existing analytic practices. Managing customer churn has never been more important to today's businesses. Furthermore, businesses are being challenged to drive greater customer...

  • 28 Oct 2009

    A practical guide

    Customers increasingly expect an individualized and relevant, multi-channel experience. To achieve this, companies are deploying real-time decisioning to engage customers on their own terms. When they like it. How they like it.

    This practical guide to assessing real-time desicioning (RTD) technologies weighs up the pros and cons of the three main real-time decisioning engines:

    1. Rule-based
    2. Product-based
    3. Customer-based

    ...

  • 27 Jul 2009

    Building an ROI case for customer interaction optimization

    Long viewed as a “cost center” that must be managed and constrained, best in class organizations are responding to the new economy by retooling their contact centers as critical new profit centers for their business. What’s the driver? Quite simply, organizations can no longer afford to leave money on the table.

    With financial, telecom, retail and other consumer oriented organizations being challenged...

  • 4 Mar 2009

    Making the move from personalized to individualized marketing

    What is the ultimate secret weapon for keeping your most profitable customers and driving revenue, even in the most commoditized and competitive markets? In one word: relevance.

    In an era of ad fatigue and do-not-call lists, customers are unwilling to interact with companies that present irrelevant messages. They expect relevance. They expect to be known, remembered and understood. Unfortunately, their...

  • 19 Mar 2008

    The lender’s problem or opportunity?

    As debt rises lenders are experiencing more defaulting customers and subsequently suffer from falling profitability, rising costs of bad debt and bad customer experiences when collections are requested. It’s a downward spiral.

    Anyone can spot a customer who stops making payments. The trick is to spot the ones who are about to stop making their payments.

    It would be great to have a crystal ball to identify those...

  • 25 Jan 2008

    Getting the first 90 days right

    Tick, tick, tick… An invisible clock starts ticking the moment a customer takes a new product with a retail bank, insurer or credit card company.

    The clock may be imaginary but it’s relevance is all too real. Research has shown over and over again, that by the time the clock has ticked for 90 days – the Customer Onboarding Period – the customer’s lifetime value and profitability will have been practically set in...

  • 5 Jan 2007

    Generating higher demand and increasing customer retention while reducing marketing costs

    Most direct marketing targets the wrong people.  It wastes money by focusing effort on many who will not react positively, and some who may even react negatively, while neglecting others who would respond favorably if targeted.

    We need to target customers whose behavior we can change, rather than taking credit for outcomes that would have occurred even without our intervention.

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