Predicting consumer behavior with Web search

Princeton University · Yahoo (United States)

PubMed
Indexed incrossrefpubmed

Abstract

Recent work has demonstrated that Web search volume can "predict the present," meaning that it can be used to accurately track outcomes such as unemployment levels, auto and home sales, and disease prevalence in near real time. Here we show that what consumers are searching for online can also predict their collective future behavior days or even weeks in advance. Specifically we use search query volume to forecast the opening weekend box-office revenue for feature films, first-month sales of video games, and the rank of songs on the Billboard Hot 100 chart, finding in all cases that search counts are highly predictive of future outcomes. We also find that search counts generally boost the performance of…

Citation impact

643
total citations
FWCI
17.97
Percentile
100%
References
17
Citations per year

Authors

5

Topics & keywords

Keywords
  • Computer science
  • Online search
  • Search advertising
  • Baseline (sea)
  • Volume (thermodynamics)
  • Web search query
  • Unemployment
  • Autoregressive model
UN Sustainable Development Goals
  • Decent work and economic growth
No related works found for this paper.