Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: In Search of Horribly Low Response Rates
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Market Research > In Search of Horribly Low Response Rates
Market Research

In Search of Horribly Low Response Rates

AnniePettit
AnniePettit
3 Min Read
SHARE

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?

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.

More Read

Using Social Media Contests & Research for Lead Generation
Technology and the Effective Marketer
PayPal Winning the Mobile Payments and Mobile Data Race
The Future of Business Intelligence is in Education
Game Changers

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?”

skinner box

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?

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. 

TAGGED:surveys
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

fda14abd c869 4da5 943c c036ad8efc2e
How Data-Driven Journalists Are Using API News Apps to Improve Reporting
Big Data Exclusive News
0622cae5 f7d7 4f74 84b5 eabd1a823dca
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
Big Data Exclusive
business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Getting On the Same Page – Marketing and the Business

4 Min Read

Six Simple Survey Opportunities to Drive Engagement

2 Min Read

What’s ahead for market research in 2010?

11 Min Read

A Survey Gene?

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?