GENESYS-IDplus is a enhanced screening service to identify and purge more non-productive numbers from your RDD samples, reducing data collection costs.

As the pioneers in developing highly efficient RDD samples and generation systems, including the GENESYS Sampling System, GENESYS-Plus and GENESYS-ID products, Marketing Systems Group continually explores ways to increase the cost-effectiveness of random digit dialing (RDD) samples without compromising statistical integrity or alienating respondents through extensive intrusion into their households.

To address these concerns, we created GENESYS-ID eighteen years ago – an integrated, multiphase database, software and board-level hardware solution to identify non-productive numbers, thereby eliminating the costs associated with interviewers needing to dial and disposition these numbers. Used by numerous commercial, government and academic institutions, this product consistently identified 35-45% of non-productive phone numbers in GENESYS RDD samples, increasing production rates by about 10%.

However, due to qualitative differences in non-working intercept tones, variations in ring patterns, inconsistencies between incumbent and newer competitive local exchange carriers, telephone switching equipment, and our continued commitment to minimizing consumer intrusiveness, results vary significantly depending on the sample frame. In the Western US, for example, intercept cut-ins habitually occur much later in the ring cycle, resulting in fewer identified non-working numbers and lower productivity gains using traditional screening methods.

By recognizing and tracking these changes over the years, we have been able to identify problem areas, build a proprietary database and develop an enhanced GENESYS-ID process that significantly increases household hit rates for epsem RDD to the 75-80% range while still minimizing intrusiveness. Household hit rates for modified RDD samples are even higher.

Utilization of this enhanced approach has demonstrated the capability of identifying a significant incremental amount of non-productive numbers – further increasing the household hit rate for the overall project. The result is a sample which retains all of the statistical integrity of an epsem RDD sample while nearly matching the cost-effectiveness of a listed frame.