Marketing Accountability for Marketing and Non-marketing Outcomes: Volume 18

Marketers frequently lament the lack of representation of marketing in the boardroom and the short tenure of CMOs. The most common explanations offered are that marketing is not perceived as a strategic discipline and that marketers do not demonstrate a strong enough understanding of how the business makes money.

Financial accounting is how “score is kept” in terms of business performance. It is, therefore, in the self-interest of marketers to become familiar with financial reporting. Doing so will allow them to understand how marketing activities are recorded. In addition, academic researchers need to understand the meaning of the financial measures that they often use as the metrics of success when researching marketing strategy questions.

This is especially important since financial reporting generally does not recognize assets created by marketing investments. In order to substantiate a claim that “brands are assets”, marketers must be able to explain how the financial accounting rules misrepresent economic reality and why managers might use a different set of principles for management reporting.

We argue that the misrepresentation of market-based assets has two forms of negative impact for marketers: external and internal. The external problems are that financial statements are not especially informative about the value of marketing for the providers of capital and do not provide a true portrait of the economic resource base of the company. The internal problems are that marketers cannot point to valuable assets that they are creating, nor can they be effectively held accountable for the way that these assets are managed given that the assets are not recorded.

We do not expect immediate radical changes in financial reporting because financial accounting rules are designed with the specific interests of the suppliers of capital (debt and equity) in mind. To influence financial accounting developments, such as encouraging greater disclosure of marketing activity in the notes to the published accounts, marketers must be able to communicate in language understood by accountants and the current users of financial accounts. To aid this we provide guidance for marketers on the purpose and practices of accounting. We also discuss how academic marketing researchers might wish to adjust financial accounting data to capitalize a proportion of marketing expenses for companies where marketing is a primary driver of business performance.

Attitudes, perceptions, and intentions of a firm's customers, which can be captured via customer feedback metrics (CFMs), provide valuable information about the state of a firm's customer base. CFMs can help capture the impact of marketing actions on future customer behavior and future firm performance, and thus can help make marketing become more accountable. CFMs have received much attention in marketing research and business practice since the 1970s. In this chapter, we provide a short historical overview of the development of, and research about, CFMs, we classify the different types of CFMs, we highlight the empirical findings of the drivers and consequences of CFMs, and we explore how CFMs can be integrated in a firm's customer dashboard in order to make marketing more accountable. We furthermore explore some of the challenges in accurately measuring CFMs, and in the end of this chapter, we provide information on how to capture CFMs in the age of social listening via modern tools involving text-, voice-, and video-mining.

This study examines the empirical relationship between four broad antecedents of brand equity (branding strategy, brand structure, brand positioning and target market) and two separate dimensions of revenue premium: price premium and volume premium. Our modeling framework aims to explain how different antecedents of brand equity influence the realized velocity and margin of branded product sales, key drivers of operating cash flow. Our generalizable empirical analyses are based on a representative dataset of over 6,500 brands, across 200 consumer-packaged goods categories, spanning three years. We find that only 20% of brands command revenue premiums, for which volume premiums are the critical determinant. Branding strategies and brand structure primarily impact volume premium. In contrast, brand positioning has little effect. Target market substantially affects both premiums. Overall, these four elements account for 73% and 69% of the explained variations in price and volume premiums, respectively. This study provides generalizable, important, and novel insights for the theory and practice of brand management regarding price positioning and extending brands into new categories.

Prior research has documented that product failures can be among a firm's worst nightmares. In this research, we examine if retailers are also held accountable by consumers when products that they sold, but did not manufacture, fail. In two studies, we show that consumers not only blame multiple parties when product failures occur – including the retailer – but also that manufacturer brand equity and retailer store image serve as important contextual cues in the blame assignment process. Specifically, building on congruity theory, we show that retailers are especially susceptible to being held responsible for failure if the equity of the failed product and the retailer store image are incongruent. Our findings also indicate that value-oriented retailers are particularly vulnerable to being blamed when high-equity products fail. Our findings suggest measuring attribution of blame between the manufacturer and retailer involved in a product failure event – instead of only the manufacturer as has been the norm in extant research – facilitates our understanding of consumer responses when product failures occur.

Despite overwhelming research on market orientation, during the last 30 years, the need for consolidation is addressed. This research investigates the role of market orientation capability in the marketing–performance outcome chain. Three fundamental capabilities are conceptualized – market exploration, market orientation exploration, and market orientation tacitness – and included as antecedents of the market orientation capability. The hypothesized model includes operational and organizational performance variables and combines key-informant data and accounting-based data for five years. The model is tested with a single industry of 297 companies that provide support for the expected direct and indirect effects of market orientation capability. The inclusion of the three fundamental capabilities as antecedents of market orientation explains 74% of its variance and have a significant indirect impact on sales growth and profitability. The chapter suggests that there remain numerous important unanswered questions in conceptualizing and empirically studying market orientation capabilities.

Allocating budget optimally to marketing channels is an increasingly difficult venture. This difficulty is compounded by an increase in the number of marketing channels, a rise in siloed data between marketing technologies, and a decrease in individually identifiable data due to legislated privacy policies. The authors explore the rich attribution modeling literature and discuss the different model types and approaches previously used by practitioners and researchers. They also investigate the changing landscape of marketing attribution, discuss the advantages and disadvantages of different data handling approaches (i.e., aggregate vs. individualistic data), and present a research agenda for future attribution research.

The extant literature provides much-needed support to understand marketing accountability and how marketing actions are related to financial performance (FP). However, we have limited understanding of the relationships between marketing actions and firms' social performance (SP) and environmental performance (EP). Understanding these links is critical to enhancing sustainable FP, SP, and EP. Moreover, the literature provides limited understanding of the measures by which SP and EP may be operationalized, or the data necessary to reach a conclusion. This study bridges these gaps by extensively reviewing the extant literature to offer a set of measures and data sources to operationalize SP and EP, and empirically show their relationships with marketing actions. We find that greenhouse gas (GHG) emission, environmental disclosure score, waste reduction, energy consumption, and recycling are prominent measures of EP, and that social disclosure score, philanthropy or community spending, and diversity of gender and race are prominent measures of SP. The KLD, ASSET4, and Bloomberg are prominent sources of data that can be used to operationalize SP, to which CDP may be added for EP. We also show that marketing actions positively affect EP and SP. This study contributes to the extant literature on SP and EP by identifying measures and data sources and linking marketing actions to both performance types. It contributes to policy development by identifying the importance of EP and SP and how marketing actions can help achieve such performance.

The sharp increase in interest in social networks among marketing scholars and practitioners has coincided with the rapid proliferation of social networks among broader populations. Considering the substantial body of research that has emerged, it is an opportune time to reflect on the state of social network research (SNR) in marketing. Therefore, this chapter reviews recent marketing research, organized according to substantive areas of interest, followed by a discussion of critical dimensions of SNR for researchers, including network actor characteristics, modes, boundaries, impacts, and mechanisms, as well as the relevant level of analysis. By documenting how SNR can inform marketing decisions and influence marketing outcomes, this study also establishes recommendations for research to advance the state of SNR in marketing. A 2 × 2 classification schema reveals four categories that might guide scholars' choices of research designs, theories, constructs, and measures for SNR.

Many companies focus considerable resources on managing and enhancing positive word of mouth (WOM). WOM management, however, has become increasingly complex given the rise of online channels and the corresponding increasing breadth of connections giving and receiving WOM. Given the generally believed importance of WOM to business outcomes, managers seek to leverage key drivers that they believe will enhance positive and minimize negative WOM.

Implicit in these actions is the belief that leveraging key drivers to enhance positive (or minimize negative) WOM results in generally positive outcomes across channels and connections. This research investigates whether this belief is correct. We examined WOM behaviors from over 15,000 consumers from 10 different countries in eight industry categories, as well as consumer attitudes toward the various brands investigated. Our findings indicate that efforts to enhance positive WOM typically have mixed effects – enhancing positive WOM in some channels while decreasing it (or even enhancing negative WOM) in other channels. Therefore, managers need to have a greater understanding of the complexity of leveraging attitudinal key drivers when seeking to enhance WOM to minimize potential negative outcomes.

Inner city centers not only provide opportunities for shopping, dining, and entertainment, but with their lively atmosphere and other vital attributes, also create attractive destinations for residents and tourists alike. However, inner city retailing, potentially the most important reason to visit an inner city, is facing serious competition from e-commerce and out-of-town shopping malls. Dying inner city centers have become a severe issue in recent years, worldwide. To counteract this devastating trend and ensure the vitality and viability of inner city centers, stakeholders from the public and private sectors regularly join their forces in initiatives to strengthen urban structures. However, academic insights into the contribution of retailing on perceived city attractiveness remain sparse. Relying on an extensive data set that combines survey and observational data, the authors are able to quantify a variety of inner city characteristics, ranging from its store and service provider portfolio to its ambience and accessibility, and measure their association with its perceived attractiveness. They show that a city's portfolio of retail stores is not only related to people's perceptions of the city's overall attractiveness but also perceptions of its ambience. However, not all retail categories contribute the same way; while the presence of clothing stores or booksellers is strongly associated with cities' ambience as well as attractiveness, other retail categories such as optometrists or electronics stores are negatively associated with consumers' inner city perceptions. Importantly, these relationships also depend on the size of the focal city. Based on their results, the authors provide important managerial and societal implications on how to leverage the local retailing environment to improve inner city attractiveness. For example, the results may inform (local) governments on which sectors to subsidize in order to attract those store and service provider categories that benefit inner city attractiveness.