In Search of Horribly Low Response Rates

Ask anyone what the response rate to their last research project was and they’ll hold their head in shame if the answer is a number under 10%. As researchers, we work really hard to generate response rates that are as high as we can possibly get them. In the competitive world of market research, the survey panel or focus group recruiter with the highest response rate just might win the job.

But wait. Why do some sources have higher response rates than others?

1. Active rules: Sources that only invite people to research if they have completed a research study in the last month have much higher response rates.
2. Incentives: Sources that provide more valuable incentives have higher response rates.
3. Recruitment: Sources that recruit participants from research sources have higher response rates (e.g., “Thank you for answering our Purchase Satisfaction Survey. Would you like to join our panel?”

In each of these three situations, the research panels have essentially pre-selected people based on their propensity to participate in research. And, as we all know, the propensity to participate in research is not a randomly distributed characteristic. Certain personality types are just more or less likely to want to participate in research. And this brings me to my point.

Shouldn’t we actually be seeking out the lowest response rate possible?  Instead of focusing on gathering opinions from people who are MOST likely to want incentives or who always participate in research, shouldn’t we keep the pipe lines open to accept opinions from research keeners as well as those who hardly ever want to participate in research and who couldn’t care less about incentives? Wouldn’t a really low response rate reflect a research participant pool that is awash with both keeners and frequent abstainers, a pool that is more reflective of the real population?

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Perhaps we should actually be seeking out low response rates. Perhaps we shouldn’t judge sample providers simply on response rates.  Perhaps we should consider that the quality of a research sample goes far beyond response rates. What a strange thought.