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
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 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

Applying Data Analytics to Customer Experience and Service on Social Media
Find Value in Online/Social Text and Sentiment: Free Report, Conferences
On the Move: Surveying your Mobile User
First Look: FICO Decision Optimizer
The Impact of Advanced Social Intelligence on Marketing

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

student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive
mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

A Survey Gene?

5 Min Read

Best Market Research Survey Ever

4 Min Read

The Road Ahead for Business Intelligence, BPM and Analytics

2 Min Read
How Your Business Can Use Online Surveys to Gather Insights
Big DataData CollectionExclusive

How Your Business Can Use Online Surveys to Gather Insights

8 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?