IBM SPSS Direct Marketing

To understand your customers or contacts in greater depth, you can perform various kinds of analyses, including recency, frequency, and monetary value (RFM) analysis, cluster analysis, and prospect profiling. You can also take the necessary steps to improve your campaigns through postal code analysis, propensity scoring, and control package testing.

IBM SPSS Direct Marketing provides you with all the tools you need to conduct sophisticated analyses of your customers or contacts easily – and with a high level of confidence in your results. Although this new addition to the family of Statistics products from SPSS, an IBM Company, relies on powerful analytics, you don't need to be a statistician or programmer to use it: the intuitive interface guides you every step of the way.

As a result of using IBM SPSS Direct Marketing, your organization can:

• Identify which customers are likely to respond to specific promotional offers
• Develop a marketing strategy for each different customer group
• Compare the effectiveness of direct mail campaigns
• Boost profits and reduce costs by mailing only to those customers most likely to respond
• Prevent spam complaints by monitoring the frequency of e-mails sent to each customer group
• Plan for locations to set up offices or stores

IBM SPSS Direct Marketing enables you to maximize the ROI of your marketing budget.

Whether you're launching new campaigns, testing campaigns, looking to increase cross-sell and up-sell revenue, or even planning to open an office or store, you can use IBM SPSS Direct Marketing to improve your understanding of customers and prospects – and make better business decisions.

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IBM SPSS Direct Marketing is available in English, Japanese, French, German, Italian, Spanish, Chinese, Polish, Korean, and Russian. Contact your local office to find out more.

IBM SPSS Direct Marketing includes a combination of specifically chosen procedures that enable database and direct marketers to conduct data preparation and analysis activities. They can do this using only the IBM SPSS Direct Marketing module, or they can use it in conjunction with IBM SPSS Statistics Base* and other modules in the IBM SPSS Statistics product family.

• RFM Analysis: Score customers according to the recency, frequency, and monetary value of their purchases.
• Segment customers or contacts: Create "clusters" of those who are like each other, and distinctly different from others.
• Profile customers or contacts: Identify shared characteristics, to improve the targeting of marketing offers and campaigns.
• Identify those who are likely to purchase: Develop propensity scores and improve the focus and timing of your campaigns.
• Test control packages: Find out which new (test) packages out-perform your existing (control) package.
• Know where responses come from: Identify by postal code the responses to your campaigns.