IBM SPSS Direct Marketing
The analytical toolkit marketers need to easily identify the right customers and improve campaign results.
- Overview
- Features and Benefits
IBM® SPSS® Direct Marketing helps you understand your customers in greater depth, improve your marketing campaigns and maximize the ROI of your marketing budget.
Conduct sophisticated analyses of your customers or contacts easily – and with a high level of confidence in your results. Choose from recency, frequency and monetary value (RFM) analysis, cluster analysis, prospect profiling, postal code analysis, propensity scoring and control package testing. The software’s intuitive interface enables you to:
Understand your customers, improve your marketing campaigns, or score your data through the techniques and procedures available in IBM SPSS Direct Marketing
- Identify which customers are likely to respond to specific promotional offers
- Develop a marketing strategy for each 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
- Select potential business locations
- Connect to Salesforce.com to extract customer information, collect details on opportunities and perform analyses
Although IBM SPSS Direct Marketing 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, and the new Scoring Wizard makes it easy to build models to score your data. After you run an analysis, the significance of the output is clearly explained.
IBM SPSS Direct Marketing includes a combination of specifically chosen procedures that enable database and direct marketers to conduct data preparation and analysis activities. You can do this using only IBM SPSS Direct Marketing, or you can use it in conjunction with other applications 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.
- Integrate response data with Salesforce.com to track leads and report on sales pipeline.
Profile of Contacts - Gives users the information that fits the specific criteria that they are interested in. (e.g. unmarried, females in the East, South and West)
Identifying subgroups most likely to respond based on customer attributes and a given response rate threshold within IBM SPSS Direct Marketing.
Customers most likely to purchase - The chart indicates the quality of the model while a sorted list of who is most likely to respond based on the predetermined criteria can be exported to excel.
IBM SPSS Direct Marketing provides model accuracy information as it identifies those customers most likely to purchase.
Postal Code - The green in the table shows which percentile meet the target rate and the organizations has the capacity to mail to them. The charts determines if you go further out in terms of percentiles, it may not meet targeted response rate.
Postal code analysis within IBM SPSS Direct Marketing helps locate the areas with the most likely response rates.