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Why Research Plus?

 

  • Extensive Experience - Research Plus was founded in 1989 by Dr. Herb Hupfer and Carolyn  Heimbach.  Combined, they have over 60 years of marketing research  experience to make sure your project runs smoothly.  Their experience  ranges from concept testing through customer satisfaction, to public  policy studies and studies designed to withstand legal challenges.  See  the Industry Experience Page for specific markets.
  • Cost Effective Resource - By design, Research Plus is a small company run by highly  accomplished marketing research professionals.  Clients benefit from our  depth of experience, without the costly overhead and middle management  of larger marketing research organizations.
  • Fast and Expeditious Solutions - At Research Plus, we understand the time-sensitive nature of  marketing research.  Your work is important to us and will not get lost  in a bureaucracy.
  • Trust and Confidentiality - Research Plus is an independent research organization.  The work we  do is objective and the results are kept strictly confidential.   Moreover, we are not tied to agreements with, or owned by, a parent  organization, so we can objectively select the most suitable field firm  for your project.
  • Quality -  We pride ourselves on doing work of the highest quality.  In fact, we  strongly believe our clients would be better off without any information  than with information of questionable integrity.  This is why one of  our principals personally implements or oversees every phase of your  project.
  • Specialized Expertise - At Research Plus, our clients have access to data collection and  analysis options many research suppliers do not even offer.  We have the  expertise to execute these more sophisticated statistical techniques  and the ability to utilize specialized measurement procedures.  Some of  these techniques and procedures include:

           * Analysis of Variance
    * Cluster Analysis
                    * Conjoint Measurement
                  * Discriminant Analysis
   * Factor Analysis
                * Perceptual Mappi

 * Regression