Hidden price promotions: Could retailer price promotions backfire?

Hidden-price promotions, a type of uncertain price promotion in which the final price is not revealed when consumers first encounter the product, have been recently adopted by retailers. However, current research suggests that hidden-price promotions have the potential to backfire and result in reduced consumer purchase intention. Across seven studies, we reveal that hidden-price promotions can be effective but risk increasing discount expectations, as consumers expect a large discount. Only when the discount level meets or exceeds inflated expectations does the excitement built by the promotion positively impact purchase intention. For cognitive purchases, even without providing a high discount, hidden-price promotions are as effective as traditional ones. This research provides guidelines for retailers that want to employ hidden-price promotions.     

Manufacturer and retailer perceptions of in‐store promotions in South Africa

The objective of this article was to investigate the perceptions of retailers and manufacturers with regard to in‐store promotions A literature review of in‐store promotions was undertaken in the context of channel conflict between manufacturers and retailers In this study, the perceptions of a sample of 133 manufacturers and 144 retailers in South Africa were measured Perceptions of these two groups were obtained about the promotional activities conducted, promotion objectives, price and non‐price promotions and the effectiveness and evaluation methods for promotions The results indicate that there are differences between the two groups, with the retailers being the dominant group Also there is a lack of sound measurement of in‐store promotion Implications for manufacturers are discussed     

A comparative analysis of marketing promotions and implications for data analytics

Retailers use many different marketing promotions to increase sales and profits. These promotions include price reductions, coupons, cash mail-in rebates, free gift cards, and buy-one-get-one (BOGO) discounts. The type of promotion used results in different outcomes for demand, profit, average price, consumer surplus, and sales taxes collected. We perform comparative analysis of these five promotions and their outcomes. We show that for the same discount amount, price reductions result in the lowest average price. For products with weakly diminishing consumer utility and low consumer stockpiling, BOGO promotions result in the largest demand, profit, consumer surplus, and taxes collected. Cash mail-in rebates may result in large profit and taxes collected, but they perform poorly in terms of average price paid and consumer surplus. We also find that a retailer offering a delayed incentive (i.e. gift cards and mail-in rebates) offers a larger reward but provides lower consumer surplus than when offering an immediate incentive (i.e. price reduction and BOGO). In a segmented market with a price-insensitive consumer segment, immediate incentives have the disadvantage of allowing price-insensitive consumers arriving during the promotion to obtain the discount, which reduces the discount effectiveness. The addition of more retailer objectives to maximizing profit, such as demand maximization or consumer surplus, increases the effectiveness of immediate incentives. We also provide a framework for estimating the important parameters for evaluating promotion effectiveness using readily available transactional data and examine its accuracy using a simulation experiment.     

Something Free or Something Off? A Comparative Study of the Purchase Effects of Premiums and Price Cuts

As an alternative to promotional price cuts, retailers and manufacturers often rely on non-price promotion techniques, such as premium promotions, where consumers receive a free gift with the purchase of a product. We compare the effectiveness of premiums to that of price cuts, and study moderators of this comparative premium effectiveness. We use data from a large online shopping simulation study with more than 2,000 participants to model consumers’ purchase decisions in response to premiums and price cuts. Results indicate that the impact of premiums on purchase behavior is systematically lower than that of equivalent price cuts. However, a premium’s smaller sales impact may be offset by a cost advantage. This is especially true for private label brands where the premium’s purchase effects do not differ too much from those of a price cut. We calculate how large the cost advantage has to be for a premium to be more profitable than a price cut, and show that premiums entail risks as well as opportunities, for both manufacturers and retailers.     

Consumer heterogeneity in the longer-term effects of price promotions

While a significant literature has emerged recently on the longer-term effects of price promotions, as inferred from persistence models, there is very little if any attention paid to whether such longer-term effects vary across different types of consumers. This paper takes a first step in that direction by exploring whether the adjustment, permanent, and total effects of price promotions, and the duration of the adjustment period, differ between consumers segmented based on their usage rates in a product category and their loyalty to a brand. We also investigate whether such consumer segmentation will improve the forecasting performance of persistence models at both product category and brand levels. Expectations are developed based on consumer behavior theory on various effects of price promotions, such as the post-deal trough, the mere purchase effect, the promotion usage effect, and responsiveness to competitor's reactions. Evidence from household-level supermarket scanner data on four product categories is provided. We find substantial differences between consumer segments and provide insights on how managers can increase the longer-term effectiveness of price promotions by targeting each consumer segment with a different promotion program. In addition, consumer segmentation is found to significantly improve the forecasting performance of the persistence model for two of the four product categories. For the other two product categories, consumer segmentation provides forecasting performance similar to that obtained from aggregate-level persistence models.     

Retailers' and manufacturers' price-promotion decisions: Intuitive or evidence-based?

Consumer price promotions account for more than half of many manufacturers' marketing budgets, and require a significant time investment to manage. Amidst the considerable research on price promotions, little academic attention has been paid to how manufacturers and retailers make price-promotion decisions. Based on in-depth interviews with a broad range of managers, this study investigates factors that influence price-promotion decisions in durable and consumer goods industries. Findings suggest that (1) intuition and untested assumptions are the main inputs into these decisions; (2) practitioners lack solid empirical evidence to guide their actions, and their beliefs are often in stark contrast with academic knowledge about the effectiveness of price promotions; and (3) price promotions are typically not evaluated against the objectives according to which they were justified, impeding appropriate feedback for future decisions. Research priorities are outlined to advance evidence-based decision-making in this area.     

A product-centric data mining algorithm for targeted promotions

Targeted promotions in retail are becoming increasingly popular, particularly in UK grocery retail sector, where competition is stiff and consumers remain price sensitive. Given this, a targeted promotion algorithm is proposed to enhance the effectiveness of promotions by retailers. The algorithm leverages a mathematical model for optimising items to target and fuzzy c-means clustering for finding the best customers to target. Tests using simulations with real life consumer scanner panel data from the UK grocery retailer sector show that the algorithm performs well in finding the best items and customers to target whilst eliminating “false positives” (targeting customers who do not buy a product) and reducing “false negatives” (not targeting customers who could buy a product). The algorithm also shows better performance when compared to a similar published framework, particularly in handling “false positives” and “false negatives”. The paper concludes by discussing managerial and research implications, and highlights applications of the model to other fields.     

Brand-Pack Size Cannibalization Arising from Temporary Price Promotions

This study investigates how price promotions for one pack-size of a brand steal sales from the other pack-sizes of the same brand. To do so, the study examines twelve grocery product categories (seven US, three UK, two Australian). The analysis finds heavy cross-pack cannibalization. On average, 22 percent of the sales uplift for a promoted brand-pack size comes from other pack sizes of the same brand. Cross-pack cannibalization most typically occurs in the week of the promotion, but also transfers future week's sales away from the non-promoted pack size in 31 percent of cases. The study finds higher cannibalization is associated with packs that sell for a higher dollar value than others sold under the same brand; whereas higher price-per-weight, a packaging difference, and the item having a larger relative share of sales in the brand portfolio, are linked to lower cannibalization. Also examined is the impact of pack-size cannibalization on promotion profitability for retailer PLs. That analysis finds PL price promotions have generally negative impacts on PL profits, and that pack-size cannibalization exacerbates this negative outcome. The results suggest both retailers and manufacturers should carefully consider pack-size cannibalization when evaluating the outcome of temporary price promotions. The study also provides some evidence-based recommendations from which managers can attempt to minimize such cannibalization.     

Sales Promotion Wars

Manufacturers and retailers, both independently and collectively, offer sales promotions to consumers. When faced with a sales promotion, to whom does a consumer ascribe causality for any satisfaction derived from the promotion? This article introduces attribution theory to explain why a consumer may (or may not) engage in athibutional processing in response to a sales promotion, the nature of that attributional process, and strategies that manufac- turers and retailers may use to influence attributional processing. A model of consumer attributions of sales promotions is offered.     

The relationship between in-store marketing and observed sales for organic versus fair trade products

To stimulate sales of sustainable products, such as organic and fair trade products, retailers need to know whether their in-store instruments effectively enhance market shares. This study uses sales data and a multilevel modeling approach to explain the market shares of sustainable products according to shelf layout factors, price level, price promotions, and consumer demographics. It argues that the effect of these variables differs between organic versus fair trade products, as buying motives might differ, organic buyers tend to be more loyal, and price is a more informative signal of quality for organic products. Results show that the number of facings has a positive relationship with the market share of fair trade brands, but not with the market share of organic brands. The same holds for the price difference with the leading brand, which is important for fair trade brands but not for organic brands. In contrast, an arrangement of the product category by brand is associated with higher market share for organic brands but not for fair trade brands. Additionally, placement at eye level and clustering of items benefits both types of sustainable brands, whereas they appear to be not very sensitive to price promotions. Finally, higher sales of sustainable products are found in areas where the customer base is older and has a higher education level.     

Analyzing the Impact of Promotions on Manufacturer and Retailer Performance

Abstract

Promotional strategies used by manufacturers (or retailers) influence not only their own outcomes, but also the outcomes of retailers (or manufacturers). As cooperation of both the parties is needed for successful implementation of promotional strategies, the promotions used by either party should provide outcomes that are positive for the other party. The authors propose a framework for examining (1) the effect of promotional strategies on both manufacturer and retailer profitability and (2) which of two promotional strategies (retail price cut or coupon promotion) yields greater total profitability to achieve an exogenously given sales level. The proposed framework also helps in identifying conditions when conflict is likely to occur between manufacturer and retailer, and suggests a cooperative strategy to resolve the conflict.     

Digital coupon promotion and platform selection in the presence of delivery effort

In recent years, physical retailers have started selling products to consumers through either third-party or self-operated online platforms. Doing so, they face demand which depends on digital coupon promotions, delivery effort by the platform (i.e., deliver products from retailers to consumers), and channel preference. In this paper, we develop a game-theoretic model to examine the interactions between the physical retailer's distribution channel choices and coupon promotions. In normal operation, retailers prefer to pay lower fees to the third-party platform, but we find, counterintuitively, that when carrying on a digital coupon promotion, the retailer can be better off paying a higher participation fee to the third-party platform. We also identify the conditions under which the retailer prefers the third-party platform over the self-operated platform with and without coupon promotions. Furthermore, we show that digital coupon promotions and delivery effort boost the retailer's profits by price discriminating among consumers with differing purchase utilities.     

From Fatwallet to eBay: An investigation of online deal-forums and sales promotions

Sales promotions are an important part of retail advertising strategy. Traditionally, research on sales promotions has generally assumed that the buyers are end consumers who do not engage in reselling, in large part due to high transaction costs. However, the recent Internet related technologies have dramatically lowered the cost of transferring goods between consumers, leading to relative ease of reselling activity amongst individual consumers. Little is known about the impact of this phenomenon on retailer's sales promotion strategy. In this research we investigate the reselling activity in online auctions for products that active deal seekers can obtain at deeply discounted prices from retailers. We further investigate the role of deal-forums in the resale process. Data is collected from an online deal-forum (http://www.fatwallet.com/) and eBay to test various reselling-related hypotheses. The results show that there is a significant abnormal increase in the number of newly posted auctions of a product after the deal information of this product is posted on deal-forum website. We also find that there is a significant price incentive for individuals to resell. The implications for sales promotion research and practice are discussed.     

Quality-adjusted price comparison of non-homogeneous products across Internet retailers

This study compares prices offered by multiple Internet retailers. This task is challenging because e-tailers cannot present their entire assortments to each consumer. Therefore, the quality of the product assortments presented by different e-tailers to each consumer is not directly comparable on an item-by-item basis, resulting in non-homogeneous offerings across retailers. We further consider the interaction between retailers (product information presentation format) and consumers (product information search strategies), which makes price comparisons among the retailers even more non-homogeneous. To grapple with this quality-adjusted price comparison problem for non-homogeneous products, we use a stochastic-frontier hedonic-price regression model to find the “lowest” theoretical price for a product given its characteristics. We then assess the price efficiency of the product as the ratio between this lowest price and the offered market price. This framework allows for the comparison of retailers in their ability to offer the “best deals” even when their actual assortments are not directly comparable in quality. Moreover, this framework provides Internet retailers with a relative measure of price efficiency. This helps them understand when and where they offer competitive prices to consumers. We illustrate our approach empirically in a comparison of price efficiency among three major Internet travel agents on a sample of posted itineraries and airfares. Furthermore, we demonstrate that the price efficiency of an Internet travel agent depends on the format of its website and on consumers' search strategies.     

A Content Analysis of Bonus Pack Promotions

Bonus packs created by manufacturers have been characterized by scholars as special factory packs offering the consumer extra product for the same price or at no additional cost. However, this portrayal may fail to fully capture what consumers actually encounter in stores during and following a bonus pack promotion. Indeed, little is known about the types of products that manufacturers promote as bonus packs and how offers for them are specified, how retailers price them, and also what happens when the offers are discontinued. To address these shortcomings, a content analysis is conducted. The results illustrate a richness to bonus pack promotions that previous views of the topic have not described.     

Assessing the Impact of Price Promotions on Consumer Response to Online Stockouts

The recent growth of e‐commerce technologies has disrupted the traditional retail environment, leading to more consumers shopping online. While the manner in which consumers shop is changing rapidly, our understanding of how changing consumer behaviors affect retail supply chain management is lacking. In particular, our understanding of how consumers react to stockouts in an online shopping environment remains unclear. Making the challenge even more difficult is the fact that price promotions are heavily used to attract consumers in an online retail environment where consumer switching costs are low. This research develops a theoretical framework, based on expectation‐disconfirmation theory, to explain the effect of price promotions on consumer expectations of product availability and their reactions to stockouts in an online retail environment. Surprisingly, our findings suggest that consumers are actually less dissatisfied with a stockout of a price promoted item than a nonprice promoted product and are less likely to switch to another retailer's website. These findings may suggest that price promotions actually create a type of switching cost in the online retail environment, leading to interesting implications for researchers and supply chain managers.     

Consequences of personalized product recommendations and price promotions in online grocery shopping

Shopping convenience can be turned into a competitive advantage for online grocery retailers. Consequently, we study how personalized product recommendations (recommendation agents) and price promotions (algorithmic pricing) compensate for the negative impact that consumer's perceived cognitive effort causes on loyalty. By default, the relationship from perceived cognitive efforts to attitudinal and behavioral loyalty is negative, yet these results demonstrate that personalized price promotions lessen the negative impact, while personalized product recommendations do not have such an influence. The findings contribute to a better understanding of personalized marketing activities in today's data-driven online grocery retailing.     

A Positive Theory of Private Label: A Strategic Role of Private Label in a Duopoly National-Brand Market

This article offers an economic rationale for national brands to provide private labels to their retailers. We build a game-theoretic model that analyzes the interactions among two national brand manufacturers and one common retailer. In an interesting strategic role, the private label mitigates the promotion competition between the two national brands and provides benefits for all three members in the channel. Our analysis shows that offering a private label can be a credible commitment from a national brand manufacturer that it will not engage in promotions and decrease the incentive of the national brand rival to engage in promotions. In this way, we attempt to provide a reason for why national brand manufacturers provide retailers with private labels in practice. In addition, we discuss the optimal quality level of private labels.     

Rebate redemption requirements – Can they discourage redeeming?

Mail-in rebates are a popular price promotion that receive substantial negative criticism due to high consumer resentment and mistrust. There is little research examining rebate redemption requirements and it seems no attempt has been made to develop a measure of what constitutes a reasonable and, perhaps more importantly, an unreasonable set of compliance requirements. This paper reports on a study of rebate promotion redemption requirements and the differences in their perceived onerousness. Furthermore, we test the effect of rebate requirement onerousness on consumers’ intention to redeem. Results show that consumers do perceive difference in the relative onerousness of rebate requirements. Furthermore, through the use of Best-Worst Scaling it was possible to rank the onerousness of requirements and demonstrate that the most onerous were up to 50 times more likely to deter consumers from redeeming than the least onerous. These results will help marketers better understand how to promote products using rebate promotions that do not foster consumer angst. Findings offer implications for retailers, product marketers, policy makers, and regulators.     

An empirically derived taxonomy of retailer pricing and promotion strategies

Most research categorizes grocery retailers as following either an Every Day Low pricing (EDLP) or a High Low (Hi-Lo) pricing strategy at a store or chain level, whereas this paper studies retailer pricing and promotions at a brand-store level. It empirically examines 1,364 brand-store combinations from 17 chains, 212 stores and six categories of consumer package goods in five U.S. markets. Retailer pricing and promotion strategies are found to be based on combinations of four underlying dimensions: relative price, price variation, deal intensity and deal support. At the brand-store level, retailers practice five pricing strategies, labeled Exclusive, Moderately Promotional, Hi-Lo, EDLP, and Aggressive pricing. Surprisingly, the most prevalent pricing strategy is not Hi-Lo pricing strategy as is widely believed. It is one characterized by average relative brand price, low price variation, medium deal intensity, and medium deal support. The findings provide some initial benchmarks and suggest that retailers should closely monitor their competitors’ price decisions at the brand level.