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The Millionaire Oversample

For those institutions that need a larger sample of "financial" millionaires (households with financial assets of $1 million or more), the 2008–09 MacroMonitor will offer a special Millionaire Oversample that will double the number of these households. In addition to receiving information about the nearly 400 financial-millionaire respondent households in the standard MacroMonitor, sponsors to the Millionaire Oversample will receive:

• Dataset of 400 additional (800 in total) millionaire households
• Dataset with the 400 millionaire households integrated with the 3,800 MacroMonitor sample (total n = 4,200), weighted to Census parameters
• A CGA (Custom Graphic Analysis) in PowerPoint that analyzes the complete 800-millionaire-households sample on the basis of the following segments:
  • All millionaire households
  • $2+ million households
  • $5+ million households*
  • Retired millionaire households
  • Nonretired millionaire households.
  This 500+ slide analysis covers all the demographics, financials, products, services, life stages, life events, recent and likely financial behaviors, and financial attitudes in the MacroMonitor and is a great reference tool for creating custom presentations that focus on your specific areas of interest.
• An executive analysis comparing the 2008–09 MacroMonitor's 800 millionaire households with the 2006–07 MacroMonitor's 396 millionaire households on key statistics, including demographics, financials, products, channels, and attitudes
• Access to the full (n = 4,200) sample, including the Millionaire Oversample, when doing custom tabulations, CGAs, ad hoc analysis, and all other projects

The 2008–09 MacroMonitor is offering subscribers, as an optional add-on, the opportunity to sponsor the Millionaire Oversample and receive all the deliverables above for $25,000. To subscribe, write in the amount on the appropriate (fourth) line on the 2008–09 MacroMonitor subscription form. If you have any questions, please contact CFD at +1 609 734 2048.

* Contingent upon sufficient sample for statistical analysis.

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