At RMS, we are frequently asked by our clients what kind of response rate they can expect from their survey research, or after the fact, if the survey response they did receive was “good.” Usually, the most honest answer we can give to those questions is “It depends.” The truth is that survey response rates are Read more

As a marketing research and marketing consultant in Syracuse, NY – Research & Marketing Strategies (RMS) speaks with a lot of clients about their needs.  Sometimes clients come to us knowing they need to do some type of marketing research, but don’t know where to start.  Other times clients come to us having already started Read more

This post was written by our Guest Blogger Mark Dengler who is President here at Research & Marketing Strategies, Inc. (RMS). When doing market research, businesses often wonder whether they should conduct qualitative or quantitative research. Qualitative research is used to explore and understand people’s beliefs, experiences, attitudes, behavior and interactions. It generates non-numerical data – Read more

Guest blogger Brian Jones gives his take on the strategic planning process and how market research can support your needs. Discussing the when, why, what, and how of good strategic planning.

The Bunker gives you 4 benefits of mixed mode research: (1) increasing response rates; (2) gaining more reach; (3) slashing the budget; and (4) speeding up the fieldwork.

The RMS Bunker gives you 5 things to think about when writing your next market research report.

This blog post discusses several tips about recruiting for qualitative market research projects. The same tips we utilize at our QualiSight Focus Group Facility in Upstate, NY.

Thinking about using a research panel in Syracuse NY, Central NY, or Upstate, NY? The Bunker lists out 5 benefits and 5 concerns to think about before you do.

It’s the final day of Scale Week and what better than to give you 6 tips on what else? Scales.

Today, we put together some scaling errors and ways in which scales should not be used. These problems can lead to biased results, unintentional participant error and/or improper analysis.