EconPapers    
Economics at your fingertips  
 

Can Google Trends Improve Your Sales Forecast?

Tonya Boone, Ram Ganeshan, Robert Hicks and Nada R. Sanders

Production and Operations Management, 2018, vol. 27, issue 10, 1770-1774

Abstract: In this issue, Cui et al. () show how the quantity and quality of user‐generated Facebook data can be used to enhance product forecasts. The intent of this note is to show how another type of user‐generated content—customer search data, specifically one obtained from Google Trends—can be used to reduce out‐of‐sample forecast errors. Based on our work with an online retailer, we bolster Cui et al. () result by showing that adding customer search data to time series models improves out‐of‐sample forecast errors.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
https://doi.org/10.1111/poms.12839

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:popmgt:v:27:y:2018:i:10:p:1770-1774

Ordering information: This journal article can be ordered from
http://onlinelibrary ... 1111/(ISSN)1937-5956

Access Statistics for this article

Production and Operations Management is currently edited by Kalyan Singhal

More articles in Production and Operations Management from Production and Operations Management Society
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-31
Handle: RePEc:bla:popmgt:v:27:y:2018:i:10:p:1770-1774