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Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics

An empirical question of long-standing interest is how price promotions affect a brand’s sale shares in the fast-moving consumer-goods market. We investigated this question with concurrent promotions and sales records of specialty beer brands pooled over Tesco stores in the UK. Most brands were cont...

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Detalles Bibliográficos
Autores principales: Huffaker, Ray, Fearne, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750578/
https://www.ncbi.nlm.nih.gov/pubmed/31532779
http://dx.doi.org/10.1371/journal.pone.0221167
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author Huffaker, Ray
Fearne, Andrew
author_facet Huffaker, Ray
Fearne, Andrew
author_sort Huffaker, Ray
collection PubMed
description An empirical question of long-standing interest is how price promotions affect a brand’s sale shares in the fast-moving consumer-goods market. We investigated this question with concurrent promotions and sales records of specialty beer brands pooled over Tesco stores in the UK. Most brands were continuously promoted, rendering infeasible a conventional approach of establishing impact against an off-promotion sales baseline, and arguing in favor of a dynamics approach. Moreover, promotion/sales records were volatile without easily-discernable regularity. Past work conventionally attributed volatility to the impact of exogenous random shocks on stable markets, and reasoned that promotions have only an ephemeral impact on sales shares in stationary mean-reverting stochastic markets, or a persistent freely-wandering impact in nonstationary markets. We applied new empirical methods from the applied sciences to uncover an overlooked alternative: ‘systematic persistence’ in which promotional impacts evolve systematically in an endogenously-unstable market governed by deterministic-nonlinear dynamics. We reconstructed real-world market dynamics from the Tesco dataset, and detected deterministic-nonlinear market dynamics. We used reconstructed market dynamics to identify a complex network of systematic interactions between promotions and sales shares among competing brands, and quantified/characterized the dynamics of these interactions. For the majority of weeks in the study, we found that: (1) A brand’s promotions drove down own sales shares (a possibility recognized in the literature), but ‘cannibalized’ sales shares of competing brands (perhaps explaining why brands were promoted despite a negative marginal impact on own sales shares); and (2) Competitive interactions between brands owned by the same multinational brewery differed from those with outside brands. In particular, brands owned by the same brewery enjoyed a ‘mutually-beneficial’ relationship in which an incremental increase in the sales share of one marginally increased the sales share of the other. Alternatively, the sales shares of brands owned by different breweries preyed on each other’s market shares.
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spelling pubmed-67505782019-09-27 Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics Huffaker, Ray Fearne, Andrew PLoS One Research Article An empirical question of long-standing interest is how price promotions affect a brand’s sale shares in the fast-moving consumer-goods market. We investigated this question with concurrent promotions and sales records of specialty beer brands pooled over Tesco stores in the UK. Most brands were continuously promoted, rendering infeasible a conventional approach of establishing impact against an off-promotion sales baseline, and arguing in favor of a dynamics approach. Moreover, promotion/sales records were volatile without easily-discernable regularity. Past work conventionally attributed volatility to the impact of exogenous random shocks on stable markets, and reasoned that promotions have only an ephemeral impact on sales shares in stationary mean-reverting stochastic markets, or a persistent freely-wandering impact in nonstationary markets. We applied new empirical methods from the applied sciences to uncover an overlooked alternative: ‘systematic persistence’ in which promotional impacts evolve systematically in an endogenously-unstable market governed by deterministic-nonlinear dynamics. We reconstructed real-world market dynamics from the Tesco dataset, and detected deterministic-nonlinear market dynamics. We used reconstructed market dynamics to identify a complex network of systematic interactions between promotions and sales shares among competing brands, and quantified/characterized the dynamics of these interactions. For the majority of weeks in the study, we found that: (1) A brand’s promotions drove down own sales shares (a possibility recognized in the literature), but ‘cannibalized’ sales shares of competing brands (perhaps explaining why brands were promoted despite a negative marginal impact on own sales shares); and (2) Competitive interactions between brands owned by the same multinational brewery differed from those with outside brands. In particular, brands owned by the same brewery enjoyed a ‘mutually-beneficial’ relationship in which an incremental increase in the sales share of one marginally increased the sales share of the other. Alternatively, the sales shares of brands owned by different breweries preyed on each other’s market shares. Public Library of Science 2019-09-18 /pmc/articles/PMC6750578/ /pubmed/31532779 http://dx.doi.org/10.1371/journal.pone.0221167 Text en © 2019 Huffaker, Fearne http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Huffaker, Ray
Fearne, Andrew
Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics
title Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics
title_full Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics
title_fullStr Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics
title_full_unstemmed Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics
title_short Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics
title_sort reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750578/
https://www.ncbi.nlm.nih.gov/pubmed/31532779
http://dx.doi.org/10.1371/journal.pone.0221167
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