Understanding new products’ market performance using Google Trends

Pattarin Chumnumpan, Xiaohui Shi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
14 Downloads (Pure)


This paper seeks to empirically examine diffusion models and Google Trends’ ability to explain and nowcast the new product growth phenomenon. In addition to the selected diffusion models and Google Trends, this study proposes a new model that incorporates the two. The empirical analysis is based on the cases of the iPhone and the iPad. The results show that the new model exhibits a better curve fit among all the studied ones. In terms of nowcasting, although the performance of the new model differs from that of Google Trends in the two cases, they both produce more accurate results than the selected diffusion models.
Original languageEnglish
Pages (from-to)91-103
Number of pages13
JournalAustralasian Marketing Journal
Issue number2
Early online date6 Mar 2019
Publication statusPublished - May 2019


  • Big data
  • Google trends
  • new product
  • diffusion
  • nowcasting
  • Google Trends
  • New product
  • Diffusion
  • Nowcasting


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