Do Brands Serve as Reliable Signals of Nutritional Quality? The Case of Breakfast Cereals

Organic and national brand manufacturers position their offerings as nutritious meals for adults and children. Do these brands serve as reliable signals of nutritional quality? To find an answer, this study analyzed a very popular, ready-to-eat breakfast cereal food category based on all the available data from 2011 (324 offerings) from a large UK grocery comparison website, mysupermarket.co.uk. The study shows that it is possible to find store and basic brand offerings that are almost identical to national brand offerings, but much cheaper and with less sugar (the main concern in cereal). Hedonic price regression analysis further confirms that brand and size explain most of cereal’s price variability, regardless of nutritional quality. The findings also reveal that low-sugar cereals are hard to find regardless of price, and almost all cereals targeted at children have high levels of sugar. A replication study (337 offerings in 2012) revealed that, on average, cereal sugar levels and prices increased, while nutritional value decreased.     

Audience Segmentation of Kentucky Mothers by Nonparticipation Status in the Special Supplemental Nutrition Program for Women,Infants, and Children

We identify women most and least likely to discontinue participation in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) program. Kentucky WIC program management information system data from 2012 to 2013 was explored through a retrospective cohort study. Audience segmentation identified unique groups with respect to nonparticipation. Presumptive eligibility for Medicaid was the strongest predictor of nonparticipation. Among those who were not presumptively eligible, women who were the only ones in their households enrolled in the program were at higher risk of nonparticipation. Outreach strategies at the point of enrollment or when presumptive eligibility for Medicaid is granted could mitigate further nonparticipation.     

Comparison of fruit and vegetable consumption among Native and non‐Native American populations in rural communities

Fruit and vegetable consumption of Native Americans was compared with that of non‐Native Americans and determinants of fruit and vegetable intake for both populations were found based upon the Theory of Planned Behavior. A one‐time survey was conducted as part of a larger research project funded by the South Dakota Department of Health. The survey was administered in local grocery stores and supermarkets in six South Dakota communities, including two located on Native American reservations. Of the 1000 distributed surveys, 499 were returned with 230 being usable, resulting in a response rate of 49.9%. Wilcoxon signed‐rank test and two regression models were tested using SAS 9.2 software. Dependent variables were fruit and vegetable intake. Attitudes towards health, fruit and vegetable consumption, perceived difficulty, subjective norm and intention were also measured. Community size, family income, employment status and participation in food assistance programmes [Supplemental Nutrition Assistance Program or Women, Infants, and Children (SNAP or WIC)] were socio‐demographic control variables. Overall, Native American participants consumed more fruit and vegetables at home and had a more positive attitude towards healthy diets than non‐Native American participants. SNAP or WIC participation, family health, exercise, intention to live healthier than parents, buying healthy food, and fruit and vegetable consumption when eating out were positively associated with fruit and vegetable consumption among Native Americans, while participation in the SNAP or WIC programme had a negative influence on consumption among non‐Native American participants. Family health, exercise, buying healthy food, fruit and vegetable when eating out, and intention to buy healthy food were positively associated with fruit and vegetable consumption among the non‐Native American population. Theory of Planned Behavior variables (e.g. attitude towards healthy food) significantly contributed to the model explaining fruit and vegetable consumption. The fact that SNAP and WIC participation had an opposite influence on the two populations warrants further research.     

The regulation of science-based claims in advertising

This paper analyzes the effects of scientific information dissemination on consumer and producer behavior. The first section draws heavily from evidence on the ready-to-eat cereal market during a period in which information developed about the health benefits of fiber cereal consumption. Although producers were initially prohibited from advertising these benefits, the regulatory ban against advertising was lifted during the period we study. Our results indicate that advertising was an important source of information leading to increased fiber cereal consumption and product innovation. The second part of our paper discusses the potential for deception if science-based claims are allowed. In the final section we consider a number of regulatory proposals that have been raised in the context of health claims for food products. We evaluate these proposals against the three goals of encouraging the dissemination of truthful information and discouraging the dissemination of deceptive or misleading information and their ability to keep pace with the changing science.     

Changes in food provision in Russian households experiencing perestroika

The purpose of this article is to describe how households in Novgorod the Great, Russia, deal with food provision in everyday life. The study focuses on changes experienced in food provision and consumption in Russian society, in order to illustrate how households respond to the transformation towards a market economy. The study reflects women's perspective on food provision. Students from Novgorod the Great visited 105 households and asked the women in the household to answer a questionnaire. Results from the study show that in order to cope with changes in society related to economic reforms, Russian households had changed both their food consumption and food production patterns. There was no big difference between urban and rural households. Nearly all of the households were self‐sufficient in the provision of vegetables and potatoes. Many households had a ‘dacha’ (plot), where they produced most of what they needed. Among the changes experienced during recent years (i.e. during the end of the 1990s), a decade after perestroika was initiated, households mentioned the rise in food prices and the decrease of income. Households reported that they consumed less fruit and/or meat. Some households also mentioned that the quality of nourishment had decreased, thereby indicating lower general quality, lower nutrition value, or less healthy foodstuffs.     

In search of status through brands from Western and Asian origins: Examining the changing face of fashion clothing consumption in Chinese young adults

Consumption for many is increasingly underpinned by the search for and creation of identity and status through specific consumption practices, including consumerism and placing a high priority on brands. One product category where such consumption practices underpin its growth and marketing is fashion clothing. The expressive nature of clothing makes it particularly important in societies where consumerism and status seeking is a priority. In picking up the significance and the role of fashion clothing, this study explores the impact of Chinese young adults’ consumerism, their status consumption tendencies and decision-making style on their perceptions of fashion clothing brands’ status, with origins from the West versus Asia. The results show that Chinese young adults prefer fashion clothing brands with Western origins over those with Asian origins. The levels of consumerism, status consumption and decision-making styles were major contributors to how they perceived the brands, and in this sense western fashion clothing brands may communicate status and wealth better than Asian brands. Further, the findings show a willingness on the part of young Chinese adults to buy more than what they need and look for prestigious-symbolic brands of fashion clothing.     

Structural Equation Modeling of Consumer Purchase Intention Toward Synthetic Functional Foods

Functional foods are gaining greater popularity around the world. They are not just a new category of food products marketed for their health benefits, but their competitive market has made consumers become more favorable toward firms that are involved in this industry. The public is increasingly concerned about health and food-related risks. They tend to make decisions on food consumption, food storage, and food preparation on a more ideal perspective based on health and safety. Therefore, the objective of this study is to determine the factors and intention of Malaysian consumers to purchase synthetic functional foods. Structural equation modeling is used to accomplish the objectives of this study with the feedback received from the 2,004 households who were interviewed through a structural questionnaire. The results show that the most influential factors influencing consumer purchasing intention toward synthetic functional foods are perceived benefits followed by attitude and subjective norms.     

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.     

What Drives Household Choice of Organic Products in Grocery Stores?

This paper studies how households choose organic products on a given store visit. We develop a three-stage purchase incidence/brand choice/purchase quantity model for organic products. Shared random effects parameters link the three stages of the model. We empirically quantify the effects of category variables, marketing mix, and demographic variables on the purchase of organic products using a unique household panel dataset that includes actual organic purchase data from two markets, by over 4,500 households in 25 stores for the period between January 2004 and June 2009. First, we find that the purchase of organic products is greater among the high income, college educated, and older families as well as among consumers holding high-level occupations. Second, households tend not to purchase organic products when buying in concentrated categories. Third, on average, households tend to buy organic store brands more than the organic national brands. Promotions of organic brands (feature ad and display) are less likely to drive households to buy organic brands and so does the organic brand's distribution breadth. Finally, price has an inverted U-shaped effect. We discuss the implications of these results for retailers, manufacturers and researchers.     

Mystification and obfuscation in portion sizes in UK food products

Concern has been expressed as to how obesity is framed as an individual responsibility easily solved with common sense. Such research has questioned the appropriateness of a size-based emphasis to public health. Moving away from the emphasis on the individual, this paper critically reviews consumer marketing techniques in the presentation of portion sizes, given what is known about human cognitive and physical limitations around food choice. Through a micro study of portion size in three products, cereals, cereal bars and yogurts, claims are made regarding marketing techniques of obfuscation in portion size presentation that at a macro level link to earlier critiques of marketing mystification. Findings suggest a number of specific obfuscators that could lead to passive overconsumption. The paper concludes that regulators should shift their emphasis away from the individual to examining marketing mystification and techniques of obfuscation. Information presentation should be more appropriate and consistent across brands within a product category.     

Determinants of Fresh and Frozen Fruit and Vegetable Expenditures in Turkish Households: A Bivariate Tobit Model Approach

In this study, we have identified the effects of socio-demographic and economic factors of household heads and households on monthly expenditures of fresh and frozen fruit and vegetable in Turkey using the bivariate Tobit model. The results show that both the probability and monthly spending levels of household fruit and vegetable consumption increase with increasing in age of household heads, educational levels of household heads, married household heads, household income, and the number of adults in a family, while male-headed households, working household heads, the households that receive in-kind help from the government or private sector, and the use of internet at home decrease both the likelihood and spending levels of fruit and vegetable consumption in Turkey. The results in the study may contribute to the stakeholders to identify and implement effective marketing strategies and also develop more effective policies for the government to improve nutritional levels for certain dwellings for which the government include them in the certain state-initiated benefit program.     

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.     

Do they buy for their dogs the way they buy for themselves?

Motivated by the fact that pet food and pet care is a big business and pet owners in the United States spend more on their pets each year, the objective of this research is to determine whether dog owners buy for their dogs the way they buy for themselves. The data show that dog owners are more loyal to dog food brands than human food brands. Dog owners are also found to be more sensitive to human food price than dog food price. The survey results also show that dog owners are more serious about buying healthy dog food than buying healthy human food. The findings are significant because they suggest that manufacturers and marketers of dog food and vet care service providers can gain some insight about the type of food and medical services dog owners might buy for their dogs by studying dog owners' food and medical service consumption decision patterns. © 2010 Wiley Periodicals, Inc.     

A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category

We develop an empirical model for the adoption process of a new durable product that accounts for consumer heterogeneity as well as consumers forward-looking behavior. Accounting for heterogeneity is important for two reasons. As the mix of consumers with different preferences and price sensitivities could change over time, firms need to update their marketing strategies. Further, it allows for a variety of shapes for the aggregate adoption process over time. As prices for durable and technology products fall over time with firms continually introducing enhanced products, consumers may anticipate these prices and improvements and delay their purchases in the product category. Forward-looking consumers optimize purchase timing by trading off their utilities from buying the product and their expectations on future prices, quality levels, and brand availability. Such forward-looking behavior will result in price dynamics in the marketplace as price changes today influence future purchases. And it results in different shapes of the new product sales pattern over time by influencing the time to take-off. We show how the parameters of our model can be estimated using aggregate data on the sales, prices, and attributes of brands in a product category. We apply our model to market data from the digital camera category. Our data are consistent with the presence of both heterogeneity and forward looking behavior among consumers. At the product category level, we are able to decompose the effects of the entry of Sony into primary demand expansion and switching from other brands. At the brand level, we find that there exist several segments in the market with different preferences for the brands and different price sensitivities leading to differences in adoption timing and brand choice across segments. For a given brand, we show how the changing customer mix over time has implications for that brands pricing strategies. We characterize how price effects vary across brands and over time and how price changes in a given time period influence sales in subsequent periods. Model comparison and validation results are also provided.     

Changing household formation patterns: implications for consumption and nutrition

The effects of anticipated changes in the composition of U.S. households on food consumption patterns and on levels of nutrition are projected to the year 1995. Despite rather substantial demographic shifts, the estimated impact on aggregate food budget shares is small for 13 aggregated food groups. Stratification of cross-sectional data by income and household composition is important to identify potential household groups at risk with respect to selected nutrition categories. Results from this analysis are useful in developing policies which can be geared to target those groups deficient in nutritional intake.     

Customer segmentation in retailing based on retail brand patronage patterns

In this study, we propose an alternative method for customer segmentation based on households’ retail brand portfolios. We suggest blockmodeling, a method that is rooted in social network analysis, to identify homogeneous groups of customers being characterized by similar patronage patterns. In a second step, we combine this method with psychometric analyses to examine group differences based on sociodemographic and purchasing behavior variables. To illustrate our approach, we use a sample of 500 households out of a panel data set of 36,502 German households in the fast-moving consumer goods sector. The findings of our analyses yield support for our assumption that our methodology, taking into account the relationship between households and the different retail brands they patronize, provides a broader understanding of the antecedents of households’ multiple store patronage strategies, leading eventually to a new form of customer segmentation.     

The impact of household level heterogeneity in reference price effects on optimal retailer pricing policies

The field of marketing has witnessed substantial improvement in modeling household level heterogeneity. However, relatively little has been written about how modeling household heterogeneity translates into better marketing decisions. In this paper, we study the impact of household level heterogeneity in reference price effects on a retailer's pricing policy. Reference prices are certain anchors or standards that households use to compare the observed purchase price of a product against. If the observed price is greater than the reference price it is perceived as a “loss” and if it is smaller than the reference price it is perceived as a “gain”. In order to study the impact of heterogeneity in reference price effects on retail pricing, we test a nested logit model under two alternative reference price (memory and stimulus based) and heterogeneity (finite mixture and hierarchical Bayes) specifications. In the empirical analysis, we find that households are quite heterogeneous in terms of their gain and loss effects. For some households a gain has higher impact than a corresponding loss, while the opposite is true for others. Using individual level estimates we then develop a normative pricing policy for a retailer maximizing category profit. Our results indicate that the optimal pricing policy derived from the heterogeneous case is qualitatively different, and more profitable, than the case when heterogeneity is ignored. We show that for an important marketing problem pertaining to a retailer, the optimal pricing decisions for various brands in a category are inextricably related to household heterogeneity in reference effects and brand preference.     

An exploratory analysis of the determinants of cooperative advertising participation rates

The paper offers an exploratory empirical investigation of the determinants of cooperative advertising participation rates. Using data for 2,286 brands, we examine the relationship of participation rates to national advertising expenditures by brand. We also consider how participation rates vary with average manufacturers’ margins by industry, average retail margins by category, and additional category-level variables. Reflecting the discrete nature of the dependent variable, the analysis employs discrete choice estimation techniques instead of OLS regression. The results reveal a significant quadratic relationship between advertising and participation rates. We interpret this and other significant findings in the context of existing work.     

Group Buying: A Strategic Form of Consumer Collective

Existing literature on collective consumption focuses on passionate consumers of particular brands. This research examines group buying (GB), a multi-phase consumer collective activity, that creates value prior to, during and after the acquisition of products and services. Through a two-year, multi-sited, qualitative study, we examine both retailers’ and consumers’ motivations for participating in GB. GB is essentially a consumer collective that centers on consumer needs across brands, activities and lifestyles. This consumer collective is not initiated by brand affiliation or a consumption subculture, but by the need to discover desirable brands and obtain optimal products and services at favorable prices. Furthermore, GB empowers consumers to better protect their rights in an under-regulated market.     

Retailer Dynamic Pricing and Ordering Decisions: Category Management versus Brand-by-Brand Approaches

This paper provides a framework for retailer pricing and ordering decisions in a dynamic category management setting. In this regard, the key contributions of this paper are as follows. First, we develop a multi-brand ordering and pricing model that endogenizes retailer forward buying and maximizes profitability for the category. The model considers (i) manufacturer trade deals to retailers, (ii) ordering costs incurred by the retailer, (iii) retailer forward buying behavior, and (iv) both own- and cross-price effects of all the brands in the category. Second, we use this model to compare differences in ordering and pricing decisions, and in profits, resulting from using a category management versus a brand-by-brand management approach. Our approach allows us to derive implications in a dynamic setting about the impact of interdependence among the brands upon decisions on pass-through of trade deals and retailer order quantity. We show that category management results in noticeably higher profits versus brand-by-brand and cost-plus (markup) approaches. Further, our results suggest an interaction between a brand's own-price effect and its cross-price effect emerges. If the cross-price effect for a brand is low - that is, the brand takes away relatively few sales from the other brands - the retail pass-through should increase with that brand's own-price effect. On the other hand, when the cross-price effect is high, the retail pass-through decreases with the brand's own-price effect.