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System and method for increasing the accuracy of forecasted consumer interest in products and services

机译:用于提高预测的消费者对产品和服务的兴趣的准确性的系统和方法

摘要

For new and experimental products for which no actual purchasing behavior is measurable, consumer behavior forecasting data is collected and then corrected based on a comparison of forecasted versus actual measured behavioral data for existing, similar products. The illustrative embodiment selects products or services that are (a) similar (based on various objective and subjective criteria) to the new product or service, and (b) are at a stage where actual consumer behavior can be measured. A computer then analyzes predicted consumer behavior forecasts for this similar product(s) or service(s) versus actual measured consumer behavior to determine a correction factor. This correction factor is then applied to correct predicted consumer behavior forecasts for a new product or service for which no actual consumer behavior can yet be measured. The resulting corrected forecasts more accurately reflect likely actual consumer behavior by taking into account errors inherent in the potential consumer survey process.
机译:对于无法测量实际购买行为的新产品和实验产品,收集消费者行为预测数据,然后根据对现有相似产品的预测行为数据与实际测量行为数据的比较进行校正。说明性实施例选择(a)(基于各种客观和主观标准)与新产品或服务相似的产品或服务,并且(b)处于可以测量实际消费者行为的阶段。然后,计算机针对该类似产品或服务的预测消费者行为预测与实际测得的消费者行为进行分析,以确定校正因子。然后,将此校正因子应用于校正尚无法测量实际消费者行为的新产品或服务的预测消费者行为预测。考虑到潜在消费者调查过程中固有的错误,得到的经过校正的预测可以更准确地反映可能的实际消费者行为。

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