Patterns of consumer response to retail price differentials

Decomposing price elasticity suggests that the major impact of promotions is on brand switching rather than increased consumption. Consumers may also buy smaller quantities of more expensive brands when compared to cheaper ones (inter-brand elasticity). Using panel data for the purchases of 80 consumers buying nine product categories over a 16-week period, we verified that inter-brand elasticities occur, and report the relative importance of intra- and inter-brand elasticities in determining quantity price elasticity per shopping occasion for the product category. Brands were classified by informational (socially mediated) and utilitarian (product-mediated) benefits. Intra-brand elasticity was higher than utilitarian inter-brand elasticity, which was higher than informational inter-brand elasticity.     

Modeling Dependencies in Brand Choice Outcomes Across Complementary Categories

We build an econometric model of a household's contemporaneous brand choice outcomes in complementary product categories. This model explicitly captures cross-category dependencies in brand choice outcomes of a household. Such dependencies have not been modeled in existing multi-category demand models.Our model accommodates cross-category dependencies that arise on account of three component effects: (1) complementarity due to the additional utility that a household derives from the joint purchase of brands in complementary categories, (2) marketing spillovers due to the effects of brands’ prices in one category affecting the households’ latent utilities for brands in the complementary category, (3) unobserved dependencies due to correlations in households’ latent utilities for brands across categories.We estimate our proposed multi-category brand choice model using scanner panel data on cake mix and frosting categories. We find that complementarity accounts for the vast majority of the estimated cross-category effects in demand. We also find that as much as 55 percent of the total retail profit impact of price promotions arise on account of brand-level (focus of our study), as opposed to category-level (focus of previous studies), dependencies in household demand. Finally, we propose an easily interpretable visual representation – Largess and Free-Ride Plot – of cross-category price elasticities that summarizes the differential abilities of brands to influence, or be influenced by, brands in the complementary category.     

Effects of prior brand usage and promotion on consumer promotional response

We examine how prior purchases influence consumer response to promotional activity in brand choice decisions. To improve understanding of the nature of this influence, we separate previous purchases into those on promotion and those not on promotion, and consider their differential impact on subsequent brand choices. Impact may be observed at the brand level, category level, or both and we suggest circumstances in which each might occur. Across four product categories, consumer sensitivity to price, price promotions, and feature advertisements increases for all brands in the product category following a promotional purchase but also decreases for the most recently purchased brand. The magnitudes of the results indicate that prior promotional purchases influence choice more than prior brand usage does. We offer managerial recommendations regarding promotional activities, for both retailers and manufacturers.     

Price–Quality and Market Share of Consumer Goods in Spain: Retail Brands and Manufacturer Brands1

The development of retail brands has been favoured by the creation of large chains and by the high level of business concentration in the retail sector. It has been supported by an increasing number of consumers who are aware of value and consider that retail brand is the best alternative, with quality levels similar to those of leading manufacturer brands but with lower prices. In this survey, we analyse the price differentials between manufacturer brands and retail brands in several categories of widely consumed products. We study the relationship between the price differential and the mean category price with the market share of retail brands, for foodstuff, perfumes and cleaning materials categories. Finally, we determine the possible connection between the price of a consumer good brand and its real quality.     

How category characteristics affect the number of store brands offered by the retailer: a model and empirical analysis

Our research examines why retailers offer, not one, but multiple store brands in some product categories. More specifically, we are interested in how certain product category characteristics affect the number of store brands. We model a product category consisting of two incumbent national brands that may differ in strength. The retailer may introduce one or two store brands depending on which maximizes category profits. Our analysis suggests that the retailer is likely to carry two store brands in categories where (i) the national brands are similar in strength; and (ii) the price sensitivity between the national brands is low. Interestingly, the conditions that support the introduction of more than one store brand are quite different than the conditions that would facilitate the introduction of additional national brands. We provide empirical evidence that support our model-based predictions.     

How Attitudes Toward Product Categories Drive Individual Brand Attitudes and Choice

Three experiments examine the role of attitudes toward the category to which a brand belongs in consumers’ attitudes toward individual brands. The core findings indicate that what consumers think generally about a category affects their evaluations of singular brands belonging to the category. Study 1 demonstrates that both consumers’ attitudes toward a category as well as their relative attitudes toward a brand versus intracategory competitors drive overall attitudes toward individual brands. Study 2 shows that manipulating attitudes toward a product category affects attitudes toward, and purchase intention of, individual brands belonging to that category. Study 3 demonstrates that more versus less favorably evaluated categories are more likely to exhibit brand positivity effects in judgments of singular brands. The results suggest the practical importance of measuring attitudes toward product categories, as well as the utility of marketing interventions aimed at the category level.     

What drives brands’ price response metrics? An empirical examination of the Chinese packaged goods industry

As competition among CPG brands intensifies in both emerging and developed markets, brand managers increasingly focus on price as the weapon-of-choice. This calls for an assessment of not only their own price response, but also of their competitive pricing power, and its antecedents. The authors propose a set of universally applicable ('etic') and country-specific ('emic') drivers of brand price elasticity, clout, and vulnerability, for the world’s largest emerging market (viz., China). Leveraging a unique and large-scale data set from this market, they find that high price response is not necessarily indicative of high clout, nor does it signal high vulnerability. Hence, all three price response metrics matter. They also uncover marked differences in the impact of brand- and category-level drivers on these three metrics. Established etic factors such as line length, distribution intensity, and stockpilability have a substantial effect on one or more price response metrics. Among the emic factors, Chinese embeddedness, and especially social demonstrance play an important role: it strongly drives down brands’ price elasticity, but also reduces the intensity of price competition in the category and makes brands less vulnerable to rival actions. Foreign brands, in contrast, exhibit higher price response, and do not enjoy higher clout nor lower vulnerability than their domestic counterparts. Hence, they neither benefit from the aura, nor suffer from the liability, of foreignness. Overall, the study adds to empirical generalizations on the impact of price, and helps managers improve the effectiveness of their pricing strategies.     

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.     

The different faces of coupon elasticity

Coupons account for over two-thirds of all consumer promotional efforts initiated by the manufacturers of consumer goods. In this study, the impact of coupons on brand sales is investigated and how that impact decays over the life of the coupon is demonstrated. Specifically, we present an econometric model that can capture coupon effects in terms of equivalent price reduction, account for coupon effects over time, allow inference of coupon effects when retailers decide to double or triple the coupon value, and provide both self-coupon and cross-coupon elasticities at different levels of aggregation. A widely used sales response model is adapted, and an analytical model is proposed to estimate both the self-coupon and cross-coupon (face value) elasticities of sales at the store level. From the store-level elasticity estimates for a given week, the authors analytically derive the coupon elasticities for the chain level by aggregating across stores, and over the life of the coupon by aggregating over time. The proposed sales response model is estimated with the data obtained from three markets for various product categories, and the coupon elasticities are computed. The proposed framework allows one to demonstrate the hypothetical equivalence of a shelf-price reduction for a given coupon face value in each week. Also, the effect of doubling the face value of a coupon results in more than a proportionate increase in elasticity. The authors find that both self and cross-coupon elasticities are much smaller in magnitude than the average self and cross-price elasticity measures reported in the literature.     

The impact of advertising on consumer price sensitivity in experience goods markets

In this paper we use Nielsen scanner panel data on four categories of consumer goods to examine how TV advertising and other marketing activities affect the demand curve facing a brand. Advertising can affect consumer demand in many different ways. Becker and Murphy (Quarterly Journal of Economics 108:941–964, 1993) have argued that the “presumptive case” should be that advertising works by raising marginal consumers’ willingness to pay for a brand. This has the effect of flattening the demand curve, thus increasing the equilibrium price elasticity of demand and the lowering the equilibrium price. Thus, “advertising is profitable not because it lowers the elasticity of demand for the advertised good, but because it raises the level of demand.” Our empirical results support this conjecture on how advertising shifts the demand curve for 17 of the 18 brands we examine. There have been many prior studies of how advertising affects two equilibrium quantities: the price elasticity of demand and/or the price level. Our work is differentiated from previous work primarily by our focus on how advertising shifts demand curves as a whole. As Becker and Murphy pointed out, a focus on equilibrium prices or elasticities alone can be quite misleading. Indeed, in many instances, the observation that advertising causes prices to fall and/or demand elasticities to increase, has misled authors into concluding that consumer “price sensitivity” must have increased, meaning the number of consumers’ willing to pay any particular price for a brand was reduced—perhaps because advertising makes consumers more aware of substitutes. But, in fact, a decrease in the equilibrium price is perfectly consistent with a scenario where advertising actually raises each individual consumer’s willingness to pay for a brand. Thus, we argue that to understand how advertising affects consumer price sensitivity one needs to estimate how it shifts the whole distribution of willingness to pay in the population. This means estimating how it shifts the shape of the demand curve as a whole, which in turn means estimating a complete demand system for all brands in a category—as we do here. We estimate demand systems for toothpaste, toothbrushes, detergent and ketchup. Across these categories, we find one important exception to conjecture that advertising should primarily increase the willingness to pay of marginal consumers. The exception is the case of Heinz ketchup. Heinz advertising has a greater positive effect on the WTP of infra-marginal consumers. This is not surprising, because Heinz advertising focuses on differentiating the brand on the “thickness” dimension. This is a horizontal dimension that may be highly valued by some consumers and not others. The consumers who most value this dimension have the highest WTP for Heinz, and, by focusing on this dimension; Heinz advertising raises the WTP of these infra-marginal consumers further. In such a case, advertising is profitable because it reduces the market share loss that the brand would suffer from any given price increase. In contrast, in the other categories we examine, advertising tends to focus more on vertical attributes.

Order of entry,trial diffusion,and elasticity dynamics: An empirical case

This paper considers the diffusion process of new brands in order to estimate marketing mix elasticities and order-of-entry effects. Using an empirical case, we test hypotheses regarding the role of order of entry on brand trial processes within a new category. Consistent with research hypotheses, the results demonstrate that the diffusion rate of a brand's trials and its pricing and advertising elasticities vary systematically as a function of competitive entry. Competitive influences (which are negative) increase as order of entry is delayed. Short-term price elasticities are found to be an inverted U relationship with the order of entry, whereby early followers have the highest elasticities, as compared to the pioneer and to later followers. Advertising elasticities decline as the number of competitors increases.     

The effects of competitive context on consumer response to price changes

ABSTRACT

This paper aims to understand how a brand’s price level, relative to its competitors, will affect consumers’ responses to price changes of the brand. The study uses experiments to examine brand choice responses to price increases and decreases across contexts differing in competitor brands and their respective prices. These experiments are conducted with six consumer goods categories. The research identifies three key factors that affect the size of responses to brand price changes – (1) passing a competitor brand’s price, (2) narrowing versus widening the price gaps with competitors, and (3) whether competitors are predominantly higher or lower priced brands.     

A model of latent symmetry in cross price elasticities

This paper develops the Latent Symmetric Elasticity Structure (LSES), a market share price elasticity model which allows elasticities to be decomposed into two components: a symmetric substitution index revealing the strength of competition between brand pairs, and a brand-specific coefficient revealing the overall impact of a brand on its competitors. An application of the model to unconstrained cross price elasticities shows that brand-price competition in one market is well-represented by a LSES model in which brand substitutability and elasticity asymmetry are related to average price level.This research was supported by the Dean's Fund for Faculty Research of the Owen School.     

Store Brand Quality and Retailer’s Product Line Design

This study analyzes a retailer’s store brand quality decision in vertically differentiated product categories. We analyze a game theoretic model composed of one or two national brand manufacturers and a retailer, who strategically chooses the quality level(s) of its store brand(s) relative to the well-established national brand position(s) to maximize its category profit. Our analysis reveals that the nature of a retailer’s store brand quality positioning is quite different from the manufacturer’s national brand positioning decision, and that the best position for a store brand is not “as close to a national brand as possible” as previous studies suggest. Instead, the optimal quality position of each store brand is remarkably sensitive to the distribution of consumers’ willingness-to-pay. In particular, the relative proportions of quality sensitive consumers and price sensitive consumers determine the balance of three key strategic forces — the market expansion force, the retail margin force, and the consumer profitability force, leading to different optimal product line designs for store brands across different category environments. Interestingly, against multiple incumbent national brands, the retailer’s optimal product line design includes a store brand positioned at the highest quality level in the category only if most consumers are moderately quality conscious. We also analyze the implications of national brands’ brand equity for retailers’ store brand strategy.     

On the Extendibility of Brands with Subordinate versus Basic Category Concepts

In this paper, we use a series of experimental studies to show that consumers’ response to the extension of a brand associated with a basic versus a sub-category depends on the closeness of the brand's parent and extension categories. When the two categories are close, consumers respond more favorably to the extension of a brand with a basic category concept, but the pattern reverses when the categories are far apart. However, a brand with a basic category concept can mitigate its disadvantage in a distant category by first launching an intervening line extension. Our results suggest that brands with sub-category concepts are not limited in their ability to extend, and can help retailers meet the twin objectives of leveraging the high growth of specialized categories and rationalizing their brand portfolio. They also suggest that managers should aim to extend brands with sub-category concepts into distant categories where the modifier in the brand concept is relevant rather than into close categories.     

How retailer and competitor decisions drive the long-term effectiveness of manufacturer promotions for fast moving consumer goods

While both retailer and competitor decisions contribute to long-term promotional effectiveness, their separate impact has yet to be evaluated. For 75 brands in 25 categories, the author finds that the long-term retailer pass-through of promotions is 65 percent, yielding a long-run wholesale promotional elasticity of 1.78 before competitive response. However, competitors partially match the wholesale price reduction by 15 percent, which decreases promotional elasticity by 10 percent. The range of retailer and competitor response across the analyzed cases is very wide, and is affected by category and brand characteristics. As to the former, large categories yield stronger retailer response, while concentrated categories yield stronger competitor response. As to the latter, smaller brands face a fourfold disadvantage compared to leading brands: they obtain lower retail pass-through, lower retail support, and lower benefits from competing brand's promotions, while their promotions generate higher benefits to competitors. Interestingly, the mid-1990s move from off-invoice allowances towards scan-back deals only partially improves their promotional effectiveness compared to that of leading brands.     

Factors that influence manufacturer and store brand behavioral loyalty

This study examines the factors that are linked to consumer goods brands having unusually high or low behavioral loyalty, after controlling for the association between brand size and loyalty that occurs due to the ‘double jeopardy’ effect. Behavioral, or repeat-purchase loyalty is measured as the brand's average share of category requirements (in volume) among its buyers over a 12-month period. We examine a range of factors that theory or past evidence suggests are associated with higher or lower behavioral loyalty, including brand type (store brand/manufacturer brand), price level, promotion intensity, as well as average brand volume per occasion and pack size. Using extensive US panel purchasing data, we find that store brands exhibit relatively higher behavioral loyalty than manufacturer brands. We explain the theory behind this result. We also find that the brand's average pack size and volume bought per occasion has a markedly positive association with behavioral loyalty. Finally, we find that the effect of low price on excess loyalty is moderated via a positive association with average volume purchase per occasion. These findings add to the body of knowledge relating to patterns in behavioral brand loyalty for both manufacturer and store brands, as well as the marketing-mix factors that influence it.     

The Pareto rule for frequently purchased packaged goods: an empirical generalization

Many markets have historically been dominated by a small number of best-selling products. The Pareto principle, also known as the 80/20 rule, describes this common pattern of sales concentration. Several papers have provided empirical evidence to explain the Pareto rule, although with limited data. This article provides a comprehensive empirical investigation on the extent to which the Pareto rule holds for mass-produced and distributed brands in the consumer-packaged goods (CPG) industry. We used a rich consumer panel dataset from A.C. Nielsen with 6 years of purchase histories from over 100,000 households. Our analysis utilizes a large number of potential factors such as brand attributes, category attributes, and consumer purchase behavior to explain variation in the Pareto ratio at the brand level across products. Our main conclusion is that the Pareto principle generally holds across a wide variety of CPG categories with the mean Pareto ratio at the brand level across product categories of .73. Several variables related to consumer purchase behavior (e.g., purchase frequency and purchase expenditure) are found to be positively correlated with the Pareto ratio. In addition, niche brands are more likely to have a higher Pareto ratio. Finally, brand/category size, promotion variables, change-of-pace brands, and market competition variables are negatively correlated with the Pareto ratio.     

The fight between store brands and national brands—What's the score?

In the Western world market shares for store brands have increased across all product categories. The competitive position of store brands compared to national brands may depend on the product category and a retail chain's overall brand assortment strategy. In order to investigate these possible chain and category effects we have selected five chains with different store brand strategies and three product categories that differ with respect to the number of strong national brands in a category. The results we report focus on the competitive position of store brands compared to national brands from a consumer point of view. We find that store brands are in a weak competitive position compared to national brands independent of category and retail chain brand assortment strategy.     

The Impact and Determinants of Nine-Ending Pricing in Grocery Retailing

Research into nine-ending pricing indicates a clear effect on sales but strong variance, suggesting that their effects are context dependent. This research relates nine-ending effects to a broad set of determinants and investigates the influence of brand, category, store, and store area clientele characteristics. The numerous empirically supported hypotheses indicate that the framework built on level and image effects is well adapted for explaining the effectiveness of nine-endings. They validate that a wide and indiscriminate practice of nine-ending pricing is not effective. The findings show that the impact of nine-endings can lead to sales losses (e.g., premium brands); however, a nine-ending price is more effective for increasing sales of small brands (e.g., low market-share, low price, and new items) that belong to weaker categories (e.g., low price, low budget-share). The effect erodes as the store's nine-ending pricing practices intensify. For category sales, a simulation reveals the existence of a threshold for which overuse is counterproductive.