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.     

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.     

Customer choices of manufacturer versus retailer brands in alternative price and usage contexts

This article offers a context-dependent theory of how price changes influence consumer purchase choice for fast moving consumer goods (FMCGs) for manufacturer (large household share) and retailer (small household share) brands. The theory proposes that the influence of price on demand is systematically very sensitive to context effects; more specifically, the theory includes the hypothesis that elasticity is much greater when the price change results in the manufacturer and retailer brands having the same price compared to when the price change keeps the manufacturer brand price above the retailer brand price. The implicit and/or explicit association with higher quality with the manufacturer versus retailer brand may be the main reason for buying the higher priced manufacturer brand. Decreasing the price of the manufacturer brand to equal the retailer brand's price takes away the primary reason for buying the retailer brand (i.e., saving money); increasing the price of the retailer brand to equal the manufacturer brand's price has the same effect. The empirical findings in the studies that this article reports support the hypothesis and confirm Scriven and Ehrenberg's [2004. Consistent consumer responses to price changes. Australas. Mark. J. 12(3), 21–39] major conclusion that relative order of price is more important than relative distance.     

Increasing a brand’s competitive clout: the role of market share,consumer preference,and price sensitivity

The market power (or ‘competitive clout’) of a brand is an increasingly important component of modern marketing strategies. However, the factors that enhance a brand’s competitive clout (BCC) are poorly understood. This study therefore suggests an integrated model of BCC and three factors that are proposed to play a role in its formation: (i) consumer price sensitivity; (ii) brand market share; and (iii) consumer brand preferences. These variables are examined both individually and simultaneously to demonstrate the direct effect of each on BCC and how their inter-relationships contribute to BCC. In doing so, a two-step empirical analysis is conducted. First, two multinomial logit models provide an own- and a cross-price response matrix for a chosen set of competitive brands. Secondly, BCC is regressed against the variables of market share, intrinsic preferences, and price sensitivity using an interaction effects regression model. The results of the analysis show that market share is not the only way to increase BCC; in particular, consumer preferences, and especially pricing decisions, are shown to play a key role in developing a strong brand.     

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 moderating effect of average wage and number of stores on private label market share: A hierarchical linear model analysis

Existing research on private label market share is primarily in the context of the Western market. The Chinese market context research is scarce, although private labels are developing rapidly in the past several years. This study investigates how the average wage and number of stores affect the Chinese market's private label market share. More importantly, this paper examines the moderating effect of the average wage and the number of stores on the relationship between the private label market share and product assortment as well as the relationship between the private label market share and pricing. Data collected from a Chinese supply chain dyad is analyzed to study category management using hierarchical linear models. The results reveal that the average wage and the number of stores positively affect the private label market share. Furthermore, the average wage enhances the negative effect of the number of brands, weakens the negative effect of the private label price, weakens the positive effect of national brand price. Meanwhile, the number of stores enhances the positive effect of the SKU proliferation of private label, enhances the negative effects of the number of brands, and enhances the negative effect of the private label price. This study contributes to category management. Furthermore, the findings will be valuable to domestic and international grocery marketers and retailers operating private labels in China.     

Product quality,attributes, and brand name as determinants of price: The case of consumer electronics

This paper proposes and illustrates an approach to measuring one aspect of brand equity, viewed as a price premium and defined as the increment that a brand name contributes to the price of a product above and beyond that justified by its quality (where quality is determined by an assessment of the relevant attributes, features, or characteristics). Two illustrative studies apply the proposed measure to consumer-electronics products found in home-theater or audio-video entertainment centers. Study 1 uses data presented byConsumer Reports to regress market price on overall quality and on dummy variables coded to represent brand names. Here, the results for home-theater products suggest a conspicuous absence of incremental brand-name effects. Study 2 generalizes this result by analyzing data for various electronic products offered by theCrutchfield Catalog. Across six product categories, when controlling for differences in an attributes-based index of product quality, a significant brand-related price premium appears to occur only for Carver. This finding again casts doubt on the importance of brand equity in the market for consumer electronics.The author gratefully acknowledge the support of the Columbia Business School's Faculty Research Fund.     

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.     

Partitioned pricing,price fairness perceptions,and the moderating effects of brand relationships in SME business markets

Partitioned pricing effects on price perceptions have been studied in the consumer (B2C) market context, but not in the business (B2B) market, and particularly not in the small- and medium-sized enterprise (SME), context. The current research investigates SME managers' affective and cognitive (e.g., price fairness perceptions) responses to partitioned pricing and extent of relationship with the selling brand. The first of three experimental studies finds that a partitioned price generates greater price fairness perceptions than an all-inclusive price. Study 2 finds that SME buyers elicit the greatest positive affect and the lowest negative affect when the buyer's firm has an established relationship with the brand and the seller partitions the price. The third study further examines the effects of relationship with the brand by separating brand mandate (i.e., when the buying firm requires employees to purchase from a specific brand) and relationship longevity.     

Gibrat's law in marketing: The case of liquor brand sales

We test the applicability of Gibrat's Law in the liquor brand market. Basically, we model annual changes in the unit sales of the top fifty liquor brands as white noise. Our results reject this model, but we do find that changes in sales are independent of starting market sales. This leads to the interpretation that brands with above average market share do not tend to gain market share, i.e., initial market share does not affect the subsequent change in market share. Furthermore, brands with above average sales do not have more stable sales than do firms with below average sales. Changes in sales appear highly positively correlated between periods, i.e., brands that gain sales in one period tend to gain sales in the next. Finally, no major liquor type or manufacturer had consistently and significantly greater or lower success across our various annual time periods.     

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.     

Predicting Under- and Overperforming SKUs within the Distribution–Market Share Relationship

This research presents a retail analytics application which uses machine learning (ML) to identify and predict under- and overperforming consumer packaged goods (CPGs) using retail scanner data. Essential to measuring market performance at the SKU level is the relationship between distribution and market share (the velocity curve). We validate that ML can reproduce the velocity curve, and ML is further used to predict underperforming, in-line performing, and overperforming SKUs relative to the velocity curve, based on a range of variables (SKU features) at a point in time. Our ML approach can correctly predict 83% of SKUs as under-, in-line-, or overperforming based on their characteristics. The research analyzes 9,321 SKUs of 2,565 brands across seven product categories of CPGs which were sold in 8,117 stores from 49 different retail chains of five different retail channels located in the US states of California, New York, Texas, and Wisconsin. The retail stores comprise convenience stores, drug stores, food stores, liquor stores, and mass merchandise retail stores. The data is Nielsen retail store scanner data for the calendar year 2014. The relationship between distribution and market share is a market-wide proxy for the ratio of relative sales in a category to, for example, aggregate shelf space, a key retail productivity metric. We further find indications that the distribution of SKUs across different store sizes, the stores’ category specialization, the line length of the brands, the overall performance of the parent brand, and sales consistency are the most important characteristics for the prediction of market share performance beyond the velocity curve. The methods and results presented will help CPG marketers (suppliers and retailers) understand which SKUs are under-, in-line-, or overperforming and the potential factors contributing to that performance. Optimizing assortments and portfolios is essential to decrease failure rates of individual SKUs. ML approaches can evolve to complementary support tools for such management problems.     

The relationship between the marketing mix and share of category requirements

A criticism of purchase-based brand loyalty measures is that they are confounded by the marketing mix variables that affect brand choice. This paper investigates the magnitude and direction of the associations for share of category requirements (SCR), defined as each brand's share among the group of households who bought the brand at least once during the time period under consideration. We discuss the theoretical foundations for the relationships between SCR and a set of marketing mix variables (price, promotions, retail distribution) and conduct a latent structure regression analysis of brand-level data to test these relationships. We find that, although the relationship between the marketing mix variables and SCR is statistically significant, in real terms the magnitude of the association is fairly low.     

Distribution effectiveness through full- and self-service channels under economic fluctuations in an emerging market

Retail distribution is one of the major challenges in emerging economies. These economies are volatile and filled with inefficiencies, and the representativeness of unstructured retail increases the complexity of distribution systems for consumer packaged-goods companies.We analyze 644 brands to extend the existing literature by modeling the retail distribution and market share in an emerging market according to the type of retail channel (full- and self-service channels), moderated by economic fluctuations and the market position of a brand (high- and low-share brands). Our model controls for endogeneity using instrumental variables (IVs) and accommodates heterogeneity across brands and categories by means of a fixed-effects robust regression. Our study highlights that the relationship between distribution and market share exhibits greater convexity in the self-service channel than in the full-service channel. Further, we contribute to the existing research in distribution effectiveness in emerging markets by showing the convex effect of distribution on market share could vary when the economy changes. Distribution gains are more effective in the self-service channel than in the full-service channel in times of economic decline. Also, the results indicate the higher degree of convexity in the relationship between distribution and market share for the self-service channel compared with the full-service channel is increased further for high-share brands than for low-share brands.     

New Brands Versus Brand Extensions, Attitudes Versus Choice: Experimental Evidence for Theory and Practice

The current study compares better-fitting and worse-fitting new brand names and brand extensions on brand attitudes and choice shares across situations that differ in terms of the amount of product information available and consumer knowledge of the target product category (which had limited effects), 35[emsp4 ]mm cameras (choice-set competitors Nikon and Minolta). While brand extensions and better-fitting brands generally enjoyed more positive brand attitudes and larger choice shares, effects were moderated by product information. When information was limited to brand name and price, the better-fitting brand extension (Sony) commanded more share than did the better-fitting new brand (Optix) which in turn commanded more share than did either the worse-fitting extension (Nike) or the worse-fitting new brand (Topix). But when information on product features was added, target brands were chosen similarly across brand names where the better-fitting new brand Optix garnered slightly (non-significantly; 5%) more share than the better-fitting extension Sony. This weak preference was reversed, however, in the attitude data where Sony was rated significantly higher in liking than Optix. Two focal conclusions emerge. First, new brands can perform as well as or better than brand extensions when consumers process product information. In this study, brand-extension advantages were confined to situations of limited information processing and better fit. Second, since branding effects differed across attitudes and choice, researchers hoping to duplicate in the laboratory the types of branding effects likely to occur in the marketplace may want to expand their traditional focus on attitudes to include choice.     

Do Store Image and Price Perception Matter to Store Brand Equity?

Store brands account for 41% of the Spanish market share in 2011, and a further increase is expected in the next year due to the economic crisis, which makes up an increasingly competitive market. Previous literature suggests that price and store image are antecedents with a relevant influence on store brand equity. Our study aims to analyze if the store image and price perception matter to store brand equity. A quantitative study was carried out obtaining a total of 362 valid responses. Results show that both variables have a positive influence on store brand equity, store image being the more relevant factor. The study is of great interest for retailers who wish to increase the value proposition.     

Understanding the Characteristics of Price Elasticities for Frequently Purchased Packaged Goods

This study examines category and brand level factors of packaged goods to determine which ones are related to brand price elasticities. A new nonparametric method of elasticity calculation is presented that is suited to situations where detailed feature and display information is not available. To obtain results that lead to strong and reliable generalisations, we examine 26 categories and 110 brands using store level weekly scanner data. We also synthesise our results with four previous studies that have looked at determinants of price elasticities. Three factors consistently emerge as important drivers of elasticity. They are, competitive intensity in the category, whether or not the product is storable and the brand market share. A further, less certain, factor is the frequency of promotion activity, with categories and brands having more frequent promotions exhibiting lower sales increases when one or more of the brands price promotes.     

The Future of Private Labels: Towards a Smart Private Label Strategy

Modern day store brands (SB) or private labels (PL), now also popularly called private brands, are brands generally owned and marketed by retailers. They have been active on the market for about 70 years. Over this time span, these brands have evolved from generic, cheap, low-quality economy or budget private labels to lower-priced-than-national brand but acceptable-quality value or standard private labels. Over time, retailers extended the value proposition to the consumer segment seeking higher quality by offering premium private labels. This strategy, called the tiered-private label, comprises offering economy PL to the price-sensitive but not quality sensitive consumers, standard PL to mainstream consumers seeking acceptable quality at lower prices, and premium PL to the quality-sensitive segment seeking value. Over the last 40 years (1980–2020), these versions of private labels have witnessed substantial growth around the world, though the growth is said to be tapering in recent times.As retailers chart the future strategy for their private labels in 2020 and beyond, a pertinent question they face is: Should they continue to offer value or even tiered PL with the same formula that brought them success in the past, or should they morph and adopt new strategies in keeping with current market trends? We support adopting a new strategy that we call the smart PL strategy. The value PL strategy and its manifestation as the tiered PL strategy cater to different consumer segments but focus primarily on price and quality as attributes of choice. In the current marketplace, consumers care not only about price and quality, but also about sustainability, ethics, social responsibility, image, so forth, perhaps more so than earlier generations. They are also more tech-savvy in using digital tools for search and purchase. Retailers, on their part, are now endowed with rich, extensive data that they can tap into to understand customers’ diverse needs, and they are able to harness technology for developing the right product and communication. Thus, the smart PL strategy is a strategy by which retailers can leverage data and technology to market private labels that meet diverse customer needs and achieve greater retail differentiation, store loyalty, margins, and profits. This thought piece provides a road map for developing such a smart PL strategy and directions for future research.     

Generalizations regarding the growth and decline of manufacturer and store brands

Stimulating growth or staving off decline in market share are core objectives for brand managers, including retailers who now offer store brands (SBs). This study identifies how changes in brand penetration and repeat-purchase loyalty accompany changes in brand share. We examine 1093 changes in brand share over 63 packaged goods categories in the UK from 2003 to 2007, covering both growth and decline. Two measures of repeat purchase loyalty are used—annual purchase frequency (PF) and share of category requirements (SCR). Our results show that brand share growth is accompanied by greater change in penetration than in loyalty, at a ratio of approximately 3:1. This finding generalizes across brand type, loyalty measure, retailer SB or manufacturer brand (MB), category purchase frequency, category type, and initial brand share. However, while brand share growth is accompanied by stronger changes in SCR than PF for MBs; the reverse is the case for SBs. For MB decline, both penetration and SCR change are significant correlates. However for SBs, the decline in brand share happens predominantly in loyalty—more strongly in SCR, followed by PF. Therefore, both brand types need to focus on building penetration to grow. While MBs also need to prevent light buyers from lapsing, SBs need to pay more attention to retaining heavy buyers to avoid repertoire demotion.