Can retail sales volatility be curbed through marketing actions?
File(s)retail_sales_volatility_GY_2016.pdf (31.36 MB)
Accepted version
Author(s)
Esteban-Bravo, M
Vidal-Sanz, JM
Yildirim, G
Type
Journal Article
Abstract
For many years, marketing managers have used dynamic sales response models to compute expected sales conditional on the available information. These models fail to recognize that the volatility (conditional variance) of sales can vary over time. Moreover, the covolatilities (conditional covariances) between sales and marketing-mix variables can be time varying. Both concepts introduce a new range of strategic and tactical considerations for product and brand managers. Using a multivariate volatility model, we investigate the covolatility of sales and the marketing mix of a focal brand and competing brands in the market. We also examine carryover effects from a volatility perspective. The methodology is applied to six product categories sold by Dominick’s Finer Foods. The results reveal valuable implications for marketing managers.
Date Issued
2017-03
Date Acceptance
2016-05-03
Citation
Marketing Science, 2017, 36 (2), pp.232-253
ISSN
1526-548X
Publisher
INFORMS (Institute for Operations Research and Management Sciences)
Start Page
232
End Page
253
Journal / Book Title
Marketing Science
Volume
36
Issue
2
Copyright Statement
Copyright: © 2017 INFORMS
Subjects
Social Sciences
Business
Business & Economics
sales
volatility
marketing mix
time-series econometrics
CUSTOMER SATISFACTION
PRODUCT QUALITY
FIRM VALUE
IMPACT
PROMOTIONS
INDUSTRY
GROWTH
PRICES
Marketing
1505 Marketing
Publication Status
Published
Date Publish Online
2017-02-08