Is this company a lead customer? Estimating stages of B2B buying journey

By advancement in digital marketing, business-to-business (B2B) buyers carry out over half of the buying process through digital touchpoints before they establish any significant contact with the B2B seller. Knowing the buying stage of a potential buyer can bring a substantial advantage to the B2B seller given the complexity of the transaction and the associated value. In this paper, the authors propose a machine learning approach to infer the stages of the B2B buying journey by observing the online browsing behavior of buyer companies. It is shown that observing the buyer's online behavior effectively allows us to estimate the buying stages with high accuracy by utilizing the hidden Markov models. Managers in B2B seller companies may use these techniques for adjusting their marketing efforts to improve the fit with the information demands of the B2B buyer prospects along with their buying journey, and thus, improve the hit rate of marketing and sales activities.     

How does customer orientation (in)congruence affect B2B electronic commerce platform firms' performance?

Business-to-business (B2B) electronic platforms have become important channels for transforming traditional modes of transaction. The success of these platforms relies heavily on the platform firms' customer orientation (CO) practices, which are designed to attract both sellers and buyers. This study draws on the cross network effect theory to explore whether and how a B2B e-commerce platform firm's (in)congruent CO strategic initiatives toward sellers or buyers affect the firm's performance. In addition, the moderating effects of seller-side and buyer-side demand uncertainty on the relationship between CO (in)congruence and platform firm performance are investigated. The analysis of data collected from 185 B2B electronic platform firms in China reveals that CO incongruence is more beneficial to firm performance than CO congruence. Furthermore, when seller-side demand uncertainty is high, an increase in seller-focused CO incongruence (i.e., higher seller orientation than buyer orientation) or buyer-focused CO incongruence (i.e., lower seller orientation than buyer orientation) improves or impedes a B2B e-commerce platform firm's performance, respectively. However, when buyer-side demand uncertainty is high, an increase in either type of CO incongruence does not improve firm performance. These findings contribute to the literature on and practices of B2B e-commerce and customer orientation.     

Harnessing marketing automation for B2B content marketing

The growing importance of the Internet to B2B customer purchasing decisions has motivated B2B sellers to create digital content that leads potential buyers to interact with their company. This trend has engendered a new paradigm referred to as ‘content marketing.’ This study investigates the organizational processes for developing valuable and timely content to meet customer needs and for integrating content marketing with B2B selling processes. The results of this single case study demonstrate the use of marketing automation to generate high-quality sales leads through behavioral targeting and content personalization. The study advances understanding of the organizational processes that support content marketing and shows how content marketing can be combined with B2B selling processes via marketing automation in ways that achieve business benefits.     

Using experiments to compare the predictive power of models of multilateral negotiations

We conduct unstructured negotiations in a laboratory experiment designed to empirically assess the predictive power of models of the multilateral negotiations observed in diverse strategic settings. For concreteness we consider two sellers negotiating with a buyer who wants to make only one trade, and we categorize the models by whether introducing a second seller to bilateral negotiations always, never, or sometimes increases the buyer's payoff. Our experiment features two scenarios within which the three categories of models have observationally distinct predictions: a differentiated scenario with one high-surplus seller and one low-surplus seller, and a homogeneous scenario with identical high-surplus sellers. In both scenarios the buyer tends to trade with a high-surplus seller at terms indistinguishable from those in bilateral negotiations with a high-surplus seller, meaning that introducing a competing seller does not substantially affect the observed terms of trade. Our findings match the predictions from models in the never-matters category, supporting their use when modeling multilateral negotiations.     

Building trust in US-Japanese business relationships: Mediating role of cultural sensitivity

While evidence suggests trust plays a fundamental role in maintaining successful buyer-seller relationships in Japan, little is known conceptually as to how foreign sellers can best develop trust in the minds of their Japanese customers. In this research, we develop and test a multi-component model of US seller actions that manifest key trust-building processes (intentionality- and capability-processes) which sellers find effective in building trust with their Japanese buyers. In this unique cultural context, theory suggests trust develops when sellers demonstrate benevolent intentions toward the buyer and exhibit a strong capability to fulfill business promises. An analysis of 181 US sellers in Japan demonstrates that a combination of trust-building efforts is recognized as being critical in seller attempts to develop and sustain trust on the part of their Japanese customers. Importantly, cultural sensitivity mediates the impact of intentionality-based practices on buyer trust, while capability-based activities directly influence trust.     

Exclusionary discounts

We consider a two-period model with two sellers and one buyer. Although we assume it is efficient for the buyer to purchase from both sellers in each period, we show that when the buyer's valuations are inter-temporally linked and at least one seller is financially constrained, exclusion can sometimes arise in equilibrium (i.e., the buyer purchases all of its requirements from the same seller in each period). The exclusionary equilibria are supported by contract offers in which the excluding seller's incremental price to supply the contestable part of demand is below its marginal cost and sometimes negative. Our findings contribute to the literatures on market-share contracts, bundling, all-units discounts, and loyalty discounts.     

Warranty,Seller Reputation,and Buyer Experience: Evidence From EBAY Used Car Auctions

Using data from the eBay car auction market, we test several predictions regarding warranties, seller reputation and buyer experience in the determination of the final price. We find that the presence of a warranty generates a price premium, but that its magnitude decreases when the seller has a more established reputation. Compared to private sellers, professional dealers, who are ‘repeated‐game players’ in the market, benefit less from a warranty and its substitutability for seller reputation is relatively small. In addition, a buyer with greater experience tends to pay less for a warranty or for a professional dealership.     

The effective use of marketing research consultants

Relatively little has been written about effectively managing the buyer-seller relationship for marketing research services. To provide insights into effectively managing this relationship, a survey of both buyers and sellers of marketing research services was conducted. Major findings were that proper problem definition, a familiarity with research methods by the research buyer, and continuous communication between buyer and seller were critical determinants of a successful consultant relationship. For best results the market research buyer-seller relationship should be treated as a mutually beneficial one, not one of conflict or acrimony.     

Modelling the effect of buyer and seller power on the margins of commodity plastics

In the last decade, large sectors of the chemical and plastics industries in the U.S.A. and West Europe have suffered drastic declines in price and gross margin during periods of low use of industry capacity. This paper shows that the major changes in gross margin observed for some commodity plastics can be modelled successfully in terms of the balance between buyer power and seller power. These industries have visibility of prices and industry occupacity and comparable concentrations of sellers and important buyers. The modelling follows Burgess (1982) in expressing buyer and seller power as simple functions of buyer and seller concentrations, industry occupacity and ‘cohesion’ between sellers. This work provides a first practical test of this new approach. It is shown that the model fits the observed data best if the ‘cohesion’ declines as occupacity declines. It is suggested that the approach would be useful in understanding the behaviour of other ‘near-commodity’, capital-intensive businesses, and in helping to distinguish between those businesses where margins are likely to remain relatively stable and those which might face drastically declining margins if the industry occupacity declines or new entrants change the balance between sellers and buyers.     

A simulation of business-to-business decision making in a relationship marketing context

The dynamic and interactive SUGARSCAPE simulation is adapted to represent agent-based relationship marketing models in business-to-business exchanges. Computer-generated selling agents operate in complex environments using relationship marketing approaches that may or may not be uniformly distributed inside their organizations. The intricate nature of these models also allows for diverse combinations of buyer traits that impact their decisions as well as seller profitability. These features include individual and firm exchange experiences, the ability to identify and to become loyal to sellers, and the sharing of information within and among buyer firms. Relationship marketing is played out or operationalized based on pricing tactics that show differences between asking prices and post-exchange value.     

Fostering B2B sales with customer big data analytics

This study focuses on the use of big data analytics in managing B2B customer relationships and examines the effects of big data analytics on customer relationship performance and sales growth using a multi-industry dataset from 417 B2B firms. The study also examines whether analytics culture within a firm moderates these effects. The study finds that the use of customer big data significantly fosters sales growth (i.e. monetary performance outcomes) and enhances the customer relationship performance (non-monetary performance outcomes). However, the latter effect is stronger for firms which have an analytics culture which supports marketing analytics, whereas the former effect remains unchanged regardless of the analytics culture. The study empirically confirms that customer big data analytics improves customer relationship performance and sales growth in B2B firms.     

Growth hacking: Insights on data-driven decision-making from three firms

Theoretical backgroundThe work explores how Big Data analysis can reshape marketing decision-making in B2B sector. Deriving from Data-Driven Decision-Making (DDDM) approach, the Growth Hacking model is employed to investigate the role of cognitive computing and big data analytics in redefining business processes.PurposeThe main objectives of the study are: 1) to assess how a data-driven orientation to the use of big data analytics and cognitive computing can reframe marketing decisions in B2B segment; 2) to explore whether the adoption Growth Hacking can be helpful in exploiting the opportunities offered by big data analytics and cognitive computing in B2B marketing.MethodologyThe paper is based on Action Research (AR) methodology that permits researchers to participate actively in the observation of businesses and to examine how decisions are undertaken and managed over time.ResultsThe main findings allow identifying the most common strategies and tactics employed in three companies operating in different B2B sectors to exploit the opportunities offered by cognitive computing and big data analytics according to a data-driven marketing approach. Based on the application of the Growth Hacking model, the tools of analytics and the main objectives, outcomes and implications on marketing decision-making are revealed.OriginalityThe identification of the main objectives and outcomes produced across the three dimensions of the Growth Hacking model (data analysis, marketing and programming) can help academics and practitioners to understand the main levers to attain marketing goals, such as the enhancement of relationship with customers (CRM), continuous learning and development of new products and potential innovation.     

Managing Seller–Buyer Relationships during New Product Development*

Ineffective relationship management with potential buyers during new product development (NPD) can be an important contributor to new product failure in technology‐based, industrial markets. However, empirical research on managing these relationships remains underdeveloped. This study addresses this deficiency by developing an empirically based taxonomy of relationship approaches used by sellers to develop technology‐based, industrial innovations, identifying situational characteristics that correlate with the choice of a particular relationship approach, and evaluating sellers' satisfaction with their relationship approach. The study's conceptual model is rooted in transaction cost analysis (TCA) and draws from extant literature on seller–buyer relationships during NPD. It was tested with data from 334 small to mid‐sized firms in a variety of technology‐based industrial markets. The results indicate that sellers use three basic relationship approaches during NPD: a bilateral approach, a buyer‐guided approach, and a seller‐guided approach. While the bilateral approach relies on a mutual exchange of information, the buyer‐guided and seller‐guided approaches do not. Juxtaposed with the high levels of satisfaction experienced by sellers in the sample, the study suggests that no one relationship approach is universally desirable. Therefore, managers may need to engage in a portfolio of relationship approaches with buyers during NPD; further, these approaches should correlate with buyer‐related (i.e., perceived buyer knowledge and prior relationship history) and innovation‐related (i.e., product customization and technological uncertainty) characteristics. Collectively, these results can help sellers optimize their relationships with buyers during NPD.     

Organizational and institutional barriers to value-based pricing in industrial relationships

In their effort to differentiate themselves from cost-driven rivals, many industrial companies are beginning to serve their customers through value-based offerings. Such companies often engage actively in collaborative value creation with their customers. To capture a fair share of the value created, they need to adopt a value-based pricing approach. Therefore, value-driven competition necessitates value-based pricing (VBP). The present study explores the barriers to exercising value-based pricing and suggests ways to overcome those obstacles in putting value-based pricing into action in B2B sales. The study is implemented as an exploratory multi-case study applying an abductive research methodology. Our cases show that industrial sellers try to understand and influence their customers' desired value perception, influence customer-perceived value (CPV), and improve their bargaining position as means to overcome these barriers to improved value capture. Hence, our findings deepen the current understanding of value-based pricing in industrial buyer–seller relationships. In doing so, it contributes to the literature on customer value, organizational capabilities, business models, and sales management in previously unexplored areas. Moreover, the study provides guidance to business practitioners willing to develop value-based pricing as part of their business model.     

Securing business-to-business relationships: The impact of switching costs

While the relationship marketing literature acknowledges the importance of switching costs for increasing customer retention, little is known about its relevance in industrial markets. In particular, it is unclear whether switching costs, and associated dimensions, impact on behavioral outcomes of buyer–seller relationships in business-to-business (B2B) markets. In order to contribute to theory development in this important area, our research first explores the dimensions of switching costs for the B2B domain and also tests the relative impact of these dimensions on business customers' actual purchase behavior. Results suggest that switching costs in B2B settings are a multi-faceted construct, including (i) procedural, (ii) financial, and (iii) relational switching costs. Moreover, we find relational switching costs to be most important for securing B2B buyer–seller relationships since they impact a customer's (a) share-of-wallet, (b) cross-buying behavior, and (c) actual switching behavior. While procedural switching costs only influence share-of-wallet, financial switching costs solely impact customer's cross-buying behavior. These findings contribute to a better understanding on how to secure B2B buyer–seller relationships.     

Applying a relationship marketing perspective to B2B trade fairs: The role of socialization episodes

This study addresses the business-to-business (B2B) trade fair from a relationship marketing perspective. The main purpose is to comprehend buyer and seller interactions in the context of the trade fair, evaluating their impact on relationship quality and on the development of the relationship in the long-term. A research model is proposed with the underlying rationale that socialization episodes (i.e., social and information exchange) at B2B trade fairs are important catalysts for relationship quality and development. An empirical study was conducted to test the theoretical model. Data was collected at an international trade fair in Portugal and gathered information about visitor-exhibitor interactions. Findings reveal that the typical atmosphere of the B2B trade fair setting encourages socializing behaviors useful to generate bonds and commitment and, ultimately, enhances the relationship quality. Product importance moderates the relationship between information exchange and relationship quality, and relationship age moderates the relationship between social exchange and relationship quality. The study draws managerial implications for exhibitors, visitors and trade fair organizers and proposes avenues for future research.     

How can business buyers attract sellers' resources?: Empirical evidence for preferred customer treatment from suppliers

This paper describes a study that investigates what makes a buyer attractive to a seller in a business-to-business buyer–seller relationship and encourages the seller to commit to and invest resources preferentially in the relationship. The study helps answer the question, “What is it that the buyer needs to do to create this attractiveness?” The perspective is somewhat unusual in the marketing literature for two reasons. Firstly, because it investigates how the supplier perspective of customer financial attractiveness affects the attitudes and actions of the supplier towards the buyer, rather than taking the buyer's perspective across the relationship. Secondly, the study has relationship attractiveness in terms of financial performance as an antecedent of its relationship constructs, whereas most relationship studies investigate performance as an outcome. The paper develops a model that proposes the seller's perception of customer financial attractiveness, seller satisfaction, and seller commitment as drivers of the seller's preferred customer treatment by allocation of resources to the relationship. The bases for the study's model are the resource-based view of the firm, the industrial marketing and purchasing (IMP) models, and related resource-focused theoretical streams. The study finds support for the model in the analysis of survey data.     

Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods

Marketing scholars are interested in the big data of user-generated content (UGC) from social media platforms. However, the majority of current UGC studies have been conducted in the business-to-consumer (B2C) context. To fill the knowledge gap in business-to-business (B2B) research, we investigate whether UGC has differential impacts on stock performance for B2B and B2C firms by using big data. We collect a large dataset of 84 million tweets from 20.3 million Twitter accounts and 8 years of stock data for 407 companies from the S&P500 index. The results from machine learning methods are transformed into a monthly panel data. We conduct fixed effects model on the panel data. We find that UGC has a significant impact on firms' stock performance and that its impact on stock performance is much stronger among B2C firms than among B2B firms. While consumers' positive sentiment does not play a significant role in stock performance, consumers' negative sentiment and WOM significantly impact stock prices.     

Big data analytics for supply chain relationship in banking

This paper reports how a commercial bank in Asia uses big data analytic as a tool to explore the internal B2B data to improve supply chain finance and the efficiency of marketing tactics and campaigns. A case study was conducted by analyzing two types of supply chain relationships: (1) supply chain relationships in the credit reports; (2) e-wiring transactions among supply chain companies. The results show that big data analytics is very useful in terms of improving the commercial banks' marketing and risk management performances. The case study also set a good example for B2B firms seeking to understand how they could leverage big data analytics to differentiate customer solutions, sustain profitability and generate new business values. Theorical and practical implications are also discussed.