The moderating effects of need for cognition and cognitive effort on responses to multi-dimensional prices

We investigate how need for cognition and cognitive effort associated with multi-dimensional pricing combine to influence demand. Experiment 1 shows that individuals with low (vs. high) need for cognition are less likely to purchase products that list price and relative discount separately. The direction of the effect of need for cognition on demand is found to depend on whether consumers’ inaccurate arithmetic generally leads them to overestimate or underestimate final prices. Therefore, experiment 2 finds that individuals with low (vs. high) NFC are more likely to purchase products that list price and relative surcharge separately. As expected, the effect is eliminated for absolute discounts or surcharges and mediated by recalled purchase prices.     

Price competition during and after promotions

We provide a framework for setting regular prices and using promotional discounts in a duopoly where long‐term promotional effects are present and the firms' pricing and promotional strategies are common knowledge (e.g., as in online markets). We show that at equilibrium, the two firms may not promote and instead adopt an Everyday Low Price (EDLP) strategy. Consumers' tendency to stockpile promoted products, the level of brand loyalty and product differentiation, and the possibility of a postpromotional sales increase critically influence regular prices, price discount rates, and profits. Under some conditions consumer stockpiling intensifies promotional competition and reduces firms' profits while the possibility of attracting new consumers reduces the need to heavily promote and ensures better profits. Managerial implications are discussed. Copyright © 2007 ASAC. Published by John Wiley & Sons, Ltd.     

Effectiveness of price discounts and premium promotions

Although price discounts are by far the most common form of sales promotions employed by firms, the increasing use of premiums as a promotional strategy may imply that they are occupying a more important place in the promotional strategy. Since price discounts are quite costly and can reduce consumers' reference prices, undermine perception of quality, and hurt brand equity, it is crucial to know what type of promotion is the most preferred and valued by consumers. As the most recent works in the field have argued that the promotional benefit level is an important determinant of promotional effectiveness, this research reports the results of two experimental studies that investigated the interaction effect between promotional benefit level and promotion type across three levels of benefit (low, moderate, high). The results obtained suggest that at high benefit levels price discounts are more effective than premiums, while the opposite occurs at low levels. However, a similar evaluation of promotional tools was found at moderate benefit levels. The findings offer guidance to managers who might benefit from knowing what is the best strategy to promote their products and services. Our work also extends prior related research because, to this date, the effectiveness of price discounts and premiums across promotional benefit levels is an under‐researched issue. © 2009 Wiley Periodicals, Inc.     

Online Price Search: Impact of Price Comparison Sites on Offline Price Evaluations

Consumers increasingly rely on Internet price comparison sites (PCS) to gain knowledge about the market. The prices generated by a PCS search can act as contextual reference prices and influence the attractiveness of prices encountered later as consumers shop offline at local stores. This paper demonstrates that both PCS retailer ratings and the shape of the PCS price distribution influence the impact of PCS search results on later price evaluations. A favorable PCS retailer rating increases the perceived validity of the price associated with that retailer, enhancing the impact of that PCS price on offline price evaluations (Study 1). The shape of the PCS price distribution can also influence later price evaluations, however this effect depends on the information provided by the PCS retailer ratings. When PCS retailer ratings are similar, implying similar validity for the associated prices, low PCS prices and those appearing more frequently in the PCS price distribution have more impact (Studies 2 and 3). When PCS retailer ratings are variable (some high and some low), the PCS price distribution effect occurs only when the PCS retailer ratings provide congruent information about price validity — that is, the most frequent price is offered by retailers with more favorable ratings. Study 3 shows that price validity inferences do mediate this result. Finally, we depart from the offline shopping context to show that when consumers choose a retailer directly from the PCS search results, the effect of PCS retailer ratings is stronger for high-priced retailers and for consumers who rely less on the retailer price as a heuristic to infer retailer service level. Based on our findings we offer insights for online and offline retailers when considering strategic responses, such as price matching guarantees.     

Effective Public Relations. Cutlip,Scott M., and Allen H. Center. 5th Edition. Englewood Cliffs,New Jersey: Prentice-Hall, 1978

Abstract

ADSPLIT is a computer-based, interactive, marketing model which optimally allocates a specified corporate promotional budget among individual brands competing for limited resources. The model requires either (a) regression-based response function coefficients based on historical data, or (b) judgments on what sales should be for different values of price and advertising expenditure for the brands, which the program then uses to estimate the function parameters. The advertising-sales response function is modeled through a flexible form that allows both concave and S-shaped relationships, while sales are related to price through a constant elasticity (Cobb-Douglas) function. The model uses the estimated or input functions to compute the optimal budget allocation for the brands, given an upper bound for the total promotional expenditures and upper- and lower-budget bounds for every brand, using nonlinear optimization heuristics. Optimal prices for the brands are also computed.     

The Dilemma of Pull and Push-Price Promotions

Should manufacturers of products such as automobiles and household appliances offer cash rebates to all consumers at the time of purchase, or offer trade deals to retailers? The authors conduct an analytical inquiry that shows that choosing between these two types of price promotion critically depends on the consumer sensitivity to both regular and promotional prices. More specifically, when consumers are more (less) sensitive to promotions than to regular prices, manufacturers are better (worse) off offering trade deals (consumer rebates) rather than consumer rebates (trade deals). Consistent with traditional predictions found in the economic literature, either of the two promotions can be offered indiscriminately if consumers make no difference between promotional offers and regular-price reductions. The theoretical and managerial implications of these findings are discussed.     

The Impact of Store-Price Signals on Consumer Search and Store Evaluation

Always low price (ALP) and low price guarantee (LPG) are store-price signals that retailers frequently use to induce favorable store-price image and discourage consumers from comparing prices across stores. Although both policies signal low prices, only LPG is an obligatory promise to beat rival stores’ prices. Results of two shopping simulations show that when consumer search costs are relatively low, ALP may effectively discourage consumer search whereas LPG may trigger more search. Paradoxically, consumers tend to evaluate ALP stores less favorably (as having lower integrity and higher self-serving intention) than LPG stores even when both signals appear to be credible. These findings suggest that LPG is a superior tactic for creating a favorable store image while ALP is more effective for discouraging consumer search. The results also indicate that consumers visit fewer stores when the LPG is not a credible signal of lowest market price than when it is credible. This is because consumers are inclined to either claim discounts or refunds at the non-credible LPG store or to purchase at the competing store with a lower price rather than continue searching.     

Information Technology and Consumer Search for Health Insurance

We explore the impact of information technology on the level of premiums paid for individual health insurance by asking which kinds of buyers will have larger gains from the use of new technology. We compare ‘asking price’ data posted on an electronic insurance exchange with survey data on premiums actually paid before the advent of exchange and examine whether the pattern of differences between asking prices and transactions prices can be explained using a simple search theory. We hypothesize that older consumers, expecting to pay higher premiums for a given policy, had engaged in more intensive search than younger consumers, given the same distribution of prices and search costs. Therefore, the introduction of an electronic exchange that lowers the cost of search should have a larger effect on decreasing the level of premiums paid for those who previously searched less (i.e., younger consumers). We find evidence consistent with this hypothesis.     

Analysis of Bitcoin prices using market and sentiment variables

This paper proposes an empirical model for analysing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010–17 and 2010–19. Price discovery is achieved through the Gonzalo–Granger permanent‐transitory decomposition. The pricing factors are endogenous linear combinations of the S&P 500 index, gold price, a Google search variable associated to Bitcoin and a fear index proxied by the FED Financial Stress Index. Our empirical analysis shows that during the first period, a linear combination of four pricing factors describes the efficient Bitcoin price. The S&P 500 index and Google searches have a positive effect whereas gold prices and the fear index have a negative effect. In contrast, during the second period, the efficient price behaves idiosyncratically and can be only rationalised by individuals' search for information on the cryptocurrency. These findings provide empirical evidence on the presence of a correction in Bitcoin prices during the period 2018–19 uncorrelated to market fundamentals. We also show that standard empirical asset pricing models perform poorly for explaining Bitcoin prices.     

The effect of time-varying factors on promotional activity in the German milk market

Promotional sales are an essential pricing tool in the marketing mix of food retailers, which induced numerous studies on the topic. However, few studies have considered time-varying factors of promotional activity in retailing. This study analyzes the effect of time-varying factors on promotional activity in German food retailing using an extensive scanner data set of weekly milk prices. I used a zero-truncated negative binomial model to estimate the time that elapsed between promotional sales. The study shows that promotional activity is high in times of peak demand, when recent unit sales are low, and when the regular price has recently been changed. The results provide compelling evidence that time-varying factors influence the retailer's pricing behavior.     

Impact of Reputation and Promotion on Internet Auction Outcomes: Finnish Evidence

The purpose of this article is to explore the impact of seller’s reputation and promotional methods on auction outcomes in the Finnish online auction website, Huuto.net. Multiple linear and logistic regression analyses are used to test a set of hypotheses. The dataset consists of 227 auctions of iPhone 4S 16 GB mobile phones posted for auction by 138 individual sellers. The main finding is that sellers who have acquired a free identification from Huuto.net achieve a hefty increase in the final sales price. Sellers who have not established an online reputation achieve considerably lower closing prices at auction. An increase in negative feedback points reduces the final sales price. Purchasing display-enhancing promotional options does not increase the price but may improve probability of sale. Establishing reputation, avoiding negative feedback, and acquiring identification pay off. The promotional options associated with fonts and colors are not worth the cost.     

How Good Are You at Getting a Lower Price? A Field Study of the US Automobile Market

Many large ticket items, such as cars and real estate, involve extensive bargaining on the part of consumers. From a consumer protection perspective, it is thus important to understand the determinants of bargaining outcomes and identify ways in which consumers can improve their bargaining performance. This research identifies several situational factors, including the information available to the consumer, the promotional environment, and a customer??s trade-in, that may have an impact on the bargaining outcome. A unique dataset is created from the US automobile market that combines actual vehicle transaction data with survey data on buyer search and bargaining behaviour. The results show that these situational variables indeed have an impact on the price a consumer pays. Specifically, on average, consumers who used the Internet and those that were offered a manufacturer rebate saved $481 and $2,126, respectively, while consumers who traded-in their old vehicle ended up paying $159 more on the new car compared to consumers who did not trade-in. Interestingly, the impact of some of these situational variables differed depending on the consumers?? ability to bargain and their enjoyment of bargaining. For example, high ability bargainers achieved more price reductions than low ability bargainers, given more information and a more active promotional environment, but this advantage did not extend in overcoming the negative impact of a trade-in. On the other hand, while buyers who enjoy bargaining do not possess a better position in a bargaining situation, they have greater tendency to search for price information and thus are better at identifying suppliers that offer a lower initial price. From a policy perspective, these results suggest that information search should be encouraged and made easier, particularly for consumers who dislike bargaining. Furthermore, even if some consumers have a high bargaining ability, there are still circumstances where their ability to get a lower price is limited. Education that highlights these pitfalls is likely to improve the final bargaining outcome and thus enhance consumer welfare.     

Effects of low price guarantees on consumer post-purchase search intention: The moderating roles of value consciousness and penalty level

While past research has focused on pre-purchase effects of low price guarantee (LPG), the present paper examines probable post-purchase consequences of such signals. Results of an experiment indicate that in an effort to enhance value from a purchase, consumers are more likely to engage in post-purchase search for lower prices when a purchase is made under an LPG. The experiment also indicates that presence of an LPG encourages post-purchase search intention only for consumers who are highly motivated to enhance value. Furthermore, it is seen that an LPG that offers higher refund leads to higher post-purchase search intention and this effect is also stronger for consumers with high concerns for enhancing value. The paper discusses several important implications of these findings for signaling theory and LPG-related retailing strategy.     

Price dispersion of online air tickets for short distance international routes

The travel industry is currently experiencing a major transition as distribution channels change in response to developments in information technology. This study investigated whether online travel agents (OTAs) can offer air tickets with different prices given the lower search costs made possible by the Internet. This investigation first examined the hypothesis that price dispersion does not exist in air ticket offerings by OTAs. Hedonic regression models with log-linear form are then built to explain the pricing characteristics of air tickets. After accounting for differences in ticket attributes, ticket prices were found to vary by as much as 1.859% across OTAs. In other words, different OTAs were offering identical tickets at different prices. Statistically, significant interaction effects existed between airlines and OTAs, suggesting that travelers with specific airline preferences should expect to find different prices on different OTAs, even when ticket attributes are identical. This work thus revealed imperfections in the online air ticket market. It is therefore necessary for fare conscious air travelers to search different web services provided by OTAs to locate the best deal.     

Consumer Information and Discrimination: Does the Internet Affect the Pricing of New Cars to Women and Minorities?

Using a large dataset of automobile transaction prices, we find that offline African-American and Hispanic consumers pay approximately 2% more than do other offline consumers; however, we can explain 65% of this price premium with differences in observable traits such as income, education, and search costs. Our estimates of unexplained race premia are smaller than previous estimates in the literature. Online, we find that minority buyers pay nearly the same prices as do whites controlling for consumers' income, education, and neighborhood characteristics. These results are consistent with the Internet facilitating information search and removing cues to a consumer's willingness to pay. Our results imply that the Internet is particularly beneficial to those whose characteristics disadvantage them in negotiating.     

Consumer price awareness in food shopping: the case of quantity surcharges

Quantity surcharges, higher unit prices on larger sizes than smaller sizes, are often found among grocery items. In this study we consider the question of why consumers buy surcharged goods. We hypothesize that it is the consequence of a failure to price search, and that some buyers purchase larger sizes in the belief they are cheaper, thus avoiding the need for price comparisons. In the analysis we examine canned tuna, using 1990 data from 54 grocery regions on sales, prices, and consumer demographics. Results support the hypothesis. We find evidence that buyers of surcharged items are mainly those with high time and information costs.     

Using daily store-level data to understand price promotion effects in a semiparametric regression model

Though it has been widely reported in the marketing literature that temporary price discounts generate substantial short-term sales increase, the shape of the deal effect curve constitutes a key research topic, for which there are still limited empirical results. To address this issue, a semiparametric regression approach is used to model the complex nature of this phenomenon. Our model is developed at the brand level using daily store-level scanner-data, which allows the study of several nonreported promotional effects, such as the influence of the day of the week both in promotional and nonpromotional periods. The results show that the weekend is the most effective in increasing promotional sales and that asymmetric and neighborhood effects hold. However, 9-ending promotional prices are not impactful.     

Increasing Price Transparency: Implications of Consumer Price Posting for Consumers' Haggling Behavior and a Seller's Pricing Strategies

In an attempt to gain a better position in haggling, consumers often seek a seller's pricing information (e.g., whether the posted price is negotiable, the discount and transaction prices) before going to that seller. Although traditionally difficult to obtain, such information is becoming increasingly available due to consumer price posting (CPP), whereby consumers post and share their purchase price information on the Internet. In this analytical study, we consider a market in which a seller, who chooses between a fixed price policy and a haggling policy, serves two types of consumers who differ in their willingness to pay and haggling costs. We explore how CPP can affect consumers' behavior and the seller's pricing strategies (i.e., pricing policy and the associated prices). In the absence of CPP, our model features a two-sided uncertainty: the seller does not know individual consumer's type and thus may find it optimal to use a haggling policy to price discriminate consumers, whereas consumers do not readily observe the seller's cost type and pricing policy, and thus are uncertain whether their haggling will be fruitful. In the presence of CPP, consumers' uncertainty about the seller's pricing policy is resolved. Because CPP can improve price transparency, inhibit consumers' acceptance of a posted price and spur price haggling, it seems apparent that it should benefit consumers and hurt the seller. However, our analysis shows that CPP can lead to fewer purchases, higher prices and even a greater seller profit. It further shows that although CPP surely increases information accessibility, it can also reduce the amount of information available to consumers. These results are in sharp contrast to the conventional wisdom in the literature.     

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.     

Price-matching guarantees as signals of low store prices: survey and experimental evidence

Many retailers offer a price-matching guarantee that promises to pay consumers the difference if they find a lower price elsewhere. This article proposes that the effectiveness of a price-matching guarantee as a signal of low store prices depends on individuals’ beliefs about the degree to which other consumers in the market engage in price search, enforce price-matching guarantees, or both. Consistent with signaling theory, results of a survey and two experimental studies demonstrate that market level factors affect consumer beliefs about the extent to which others engage in price search and thereby the effectiveness of price-matching guarantees in lowering perceptions of store prices. The implications of the findings for retail strategy are discussed along with directions for future research.