Artikel

Customer‐centric category selection for mobile and print promotions in loyalty reward programs

In their loyalty reward programs, large retailers adopt category-specific targeted promotions as an effective means to increase shoppers' basket values. However, neither the literature nor observed marketing practice provides category selection methods that maximize the promotion's profitability. Hence, we provide a predictive customer-centric category selection approach based on the return on marketing investment measure that accommodates both fixed and variable promotion costs, captures cherry-picking effects, and encompasses the retailer's entire category assortment. We use a real-world promotional data set from a leading German retailer to show that our approach predicts customer responses to these promotions with high out-of-sample accuracy tested over time and also across promotion frequencies. We find that the most promising categories in mobile promotions maximize cross-category profits to curtail cherry-picking and boost the sales of nonpromoted items—that is, the profitability-driving part of the profit uplift. In contrast, the different cost structure of print promotions requires that categories achieve a high (but not too high) redemption rate, as cross-category profit declines, in order to recoup customer contacting costs. Our benchmark analysis reveals that current marketing practice fails to hit the profitability functions' “sweet spot” and can even work against the retailer by producing negative returns.

Sprache
Englisch

Erschienen in
Journal: Naval Research Logistics (NRL) ; ISSN: 1520-6750 ; Volume: 68 ; Year: 2021 ; Issue: 6 ; Pages: 683-700 ; Hoboken, USA: John Wiley & Sons, Inc.

Klassifikation
Management
Thema
category selection
category‐specific promotions
cross‐category profit
targeted marketing

Ereignis
Geistige Schöpfung
(wer)
von Mutius, Bernhard
Huchzermeier, Arnd
Ereignis
Veröffentlichung
(wer)
John Wiley & Sons, Inc.
(wo)
Hoboken, USA
(wann)
2021

DOI
doi:10.1002/nav.21934
Handle
Letzte Aktualisierung
10.03.2025, 11:47 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • von Mutius, Bernhard
  • Huchzermeier, Arnd
  • John Wiley & Sons, Inc.

Entstanden

  • 2021

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