| dc.description.abstract | The data driven world today has multiple sources of data collection – from usage patterns to
voice-based profiling of consumers. Through this paper, we aim to examine the industry
practice of data collection by companies that provide goods and services and its use for
personalized advertising. Further, the marginal willingness of the companies to pay for
consumers’ voice-based data (or the analyses derived from it) is also understood. The questions
of how accurate these targeted advertisements can be, what, and how much, is the additional
benefits producers can get out of this are explored in this paper. On the consumers’ side, the
willingness of the consumers to share their data is also understood. The questions of how
accurate these advertisements can be, do consumers value it, and if yes, how much are explored
in this paper. Inferences are then draw about the intersection between the consumer and
producer to understand whether personalized advertising using data collection through methods
like speech analytics lead to a better market outcome. | en_US |
