Finding the right respondents is crucial in Market Research. Market researchers often rely on multiple sample sources for survey respondents and respondents often belong to multiple panels. The same respondents may be taking surveys across panels on the same product categories within the same period of time, leading to potential respondent biases.
ICE is an optional service that works hand in hand with RelevantID. It captures Category ID (CID) as part of each respondent’s unique digital fingerprint. When a respondent takes an ICE client survey, the CID collected as part of the respondent’s digital fingerprint can be used to exclude those respondents who have recently participated in the same survey category within a specified period of time.
The process is seamless. You call the ICE web service to inform us when one of your respondents has completed a survey and provide us with that particular respondent's RelevantID, the CID and the Survey ID.
When you call the standard RelevantID web service, you tell us the CID for the respondent and we will be able to tell you the last time that
respondent took a survey for that category. The process is transparent
to the user, and does not interfere with the user experience. You can either
allow, prevent or redirect respondents based on your own business rules.
ICE is an industry-wide user group initiative consisting of major panel companies: Authentic Response, e-Rewards/Research Now, Global Market Insite, Inc. (GMI), Survey Sampling International, Toluna and uSamp.
"Our clients look to us to provide a quality product, no questions asked. Having the ability to broaden our approach to category exclusions is an invaluable tool to us and our clients. By working with our cross-industry team, we are making greater quality strides in a faster timeframe than any of us could achieve alone- and our clients will realize the benefits". Hugh Davis, Chief Strategy Officer, Toluna.
Benefits of ICE
• Eliminates potential respondent biases from taking same category surveys
• Provides a broader approach to category exclusions
• Makes use of an industry wide dictionary of product categories
• Helps researchers look at respondent behaviors in full to make educated sampling decisions
• Part of a collaborative effort focused on delivering major quality advances to the market research industry
• Does not collect or process any personally identifiable information (PII)
• Technology provided by an independent third-party