Journal
OR SPECTRUM
Volume -, Issue -, Pages -Publisher
SPRINGER
DOI: 10.1007/s00291-022-00685-w
Keywords
Personalized price promotions; Interpurchase times; Share-of-transactions; Targeting metrics; Dynamic targeting
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Funding
- University Research Priority Program Social Networks at the University of Zurich
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Digitalization enables retailers to provide personalized promotions when customers enter the store, rather than relying on traditional indicators of store visit. The study found that targeting customers based on regularity patterns in their purchase times can lead to higher redemption rates, revenues, and purchase frequencies.
Digitalization allows retailers to target customers with personalized promotions when they enter the store. Although traditional promotional retailer objectives, such as store visit, become obsolete once the shopper is already in the store, retailers still tend to target customers based on indicators that drive store visit, such as recency, frequency, and monetary value (RFM). In order to improve promotional efficiency, the authors propose targeting shoppers based on information derived from regularity patterns in individual interpurchase times at the point of sale. When compared to RFM-based targeting, the proposed live targeting approach translates into higher redemption rates (+ 10.5 percentage points), revenues (+ 42.3 percentage points), and purchase frequencies (+ 44.2 percentage points). The findings emphasize the importance of promotional timing and of considering customers' outside potential for dynamic in-store targeting.
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