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Can google trends improve sales forecasts on a product level?

Author

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  • Benjamin Fritzsch
  • Kai Wenger
  • Philipp Sibbertsen
  • Georg Ullmann

Abstract

Combining standard time series models with search query data can be helpful in predicting sales. We include the search volume of company as well as product-related keywords provided by Google Trends as new predictors in models to forecast sales on a product level. Using weekly data from January 2015 to December 2016 of two products of the audio company Sennheiser we find evidence that using Google Trends data can enhance the prediction performance of conventional models.

Suggested Citation

  • Benjamin Fritzsch & Kai Wenger & Philipp Sibbertsen & Georg Ullmann, 2020. "Can google trends improve sales forecasts on a product level?," Applied Economics Letters, Taylor & Francis Journals, vol. 27(17), pages 1409-1414, October.
    • Handle: RePEc:taf:apeclt:v:27:y:2020:i:17:p:1409-1414
    DOI: 10.1080/13504851.2019.1686110
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    Cited by:

    1. Lash, Michael T. & Sajeesh, S. & Araz, Ozgur M., 2023. "Predicting mobility using limited data during early stages of a pandemic," Journal of Business Research, Elsevier, vol. 157(C).

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