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The term ‘strategy’ is one of the most frequently used terms in business, and its application in marketing is particularly common. Company strategy, market strategy, marketing strategy, sales strategy, promotion strategy, distribution strategy, low pricing strategy – it would take a long time to list all of them. Although this term is so commonly in use, its definition is not as straightforward and it can be interpreted in different ways. In comparison with tactical decisions, strategy is much more significant for an organisation as it brings long-lasting consequences. It is implemented by higher level managers on a regular basis, and it is based on external, often subjective information, so decisions – especially at the time they are made – are difficult to evaluate.

Taking into consideration the fact that strategy refers to a long-term rather than a short-term period, strategic decisions serve as the basis for undertaking operational activities. However, marketing refers to the market and the competition. It is possible to claim that marketing strategy is trying to find an answer to the question to which path an organisation should follow in order to achieve its goals and objectives. If, for example, a company has a goal to generate a profit of PLN 1 million by selling 100,000 pieces of a product, the market strategy should answer at least the following two questions:

1. Who will be our target group, for example, who will purchase the 100,000 pieces of the product?

2. Why is it us from whom a potential buyer should purchase the product?

Who will be our target group, for example, who will purchase the 100,000 pieces of the product?

Why is it us from whom a potential buyer should purchase the product?

The target market will be defined if a reply to the first question is provided. The second question identifies the foundations of competitive advantage. These two issues, that is, target market and competitive advantage are the strategic marketing issues. You cannot change your target group unexpectedly while competitive advantage is the basis for changing decisions regarding prices, promotions and sales.

This chapter describes the measures of marketing activities which refer to strategic aspects and testify a company’s market position – the measures of the performance of target groups and competitive advantage. Readers’ attention should be also focused on the indices that are less popular in Poland and, therefore, may be underestimated. It seems that some of them, for example, the index of marketing resources allocation and the marketing risk index, provide a lot of valuable information and, at the same time, make it possible to show the value of marketing investments. Their wider use in the near future is only a matter of time.

This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.

In this chapter, a qualitative study of successful sales organizations is reported. Based on the findings, different concepts are derived. The aim of the conceptual development is to help describing the processes of managing a sales organization. It is a new model created from the ground. Still, we can easily see the similarities to the findings and connections to important concepts from established literature.

The interplay between structure and processes, “the frame,” and individual’s development turns out to be at the core of successful sales organizations. This interplay is coined organizational balancing.

The study and this chapter contribute to the extant discussion of causalities between specific factors influencing the sales process, a holistic approach seems highly relevant. However, one specific factor, namely the role of leadership will also be examined.

The core of managing a sales organization effectively is to be aware and take into consideration how the frame and the individual are intervened into each other. They exist in a complex interplay that is in constant flux. That is the message of organizational balancing.

The aim of this chapter is to illustrate and discuss — through a case study of Sandvik Corporation — how business practices with focus on sales can improve with regard to effectiveness and efficiency by utilization of IT tools. This approach challenges the traditional view of doing business in big industrial corporations where sales experts known as sales stars have traditionally developed relationships with customers. In order to do this, the chapter initially delineates the traditional business practices and the main issues associated with this approach.

The following section brings up the case of Sandvik Corporation. This part of the chapter first discusses problems with unorganized business practices as a source of business inefficiency. These problems are represented by (1) offer and order management, (2) pricing and value, and (3) customer planning and daily work routines. The consequent part of this section illustrates how the company improved its business by organizing business practices using CRM tools. The discussion of the new efficiencies is supported by elaboration on the Sandvik’s Sales Program that the organization launched in order to address the above mentioned problems of inefficiencies is sales work. The chapter ends with potential new challenges that the implementation of IT tools brought about and a summary of the chapter.

While subordinated debt can be used to increase market discipline on banks by playing a corporate governance role in the presence of a federal safety net that encourages risk taking, it also has implications for banks’ loan sales. Using two measures of banks’ loan sales activity, we find greater proportions of subordinated debt increase the likelihood that banks engage in loan sales activity, and are associated with greater proportions of loan sales. Our results have implications about banks’ lending efficiency as well as their transparency and disclosure policies that could play a role in the transmission mechanism of monetary policy.

Machine learning methods have recently gained attention in business applications. We will explore the suitability of machine learning methods, particularly support vector regression (SVR) and radial basis function (RBF) approximation, in forecasting company sales. We compare the one-step-ahead forecast accuracy of these machine learning methods with traditional statistical forecasting techniques such as moving average (MA), exponential smoothing, and linear and quadratic trend regression on quarterly sales data of 43 Fortune 500 companies. Moreover, we implement an additive seasonal adjustment procedure on the quarterly sales data of 28 of the Fortune 500 companies whose time series exhibited seasonality, referred to as the seasonal group. Furthermore, we prove a mathematical property of this seasonal adjustment procedure that is useful in interpreting the resulting time series model. Our results show that the Gaussian form of a moving RBF model, with or without seasonal adjustment, is a promising method for forecasting company sales. In particular, the moving RBF-Gaussian model with seasonal adjustment yields generally better mean absolute percentage error (MAPE) values than the other methods on the sales data of 28 companies in the seasonal group. In addition, it is competitive with single exponential smoothing and better than the other methods on the sales data of the other 15 companies in the non-seasonal group.

This paper introduces the development of a new type of sales promotion strategy to create more value for goods and to avoid price discounting. I use a psychological approach designed by creating consumer insight hypotheses based on in-depth interviews, which are then verified by web-motivation research and text-mining. This innovative sales promotion approach is a very hot topic as a new type of promotion development among large companies in Japan and is useful in avoiding price-discounting sales. This paper explains the concrete process used in this type of promotion and reveals the successful case of a large spice company in Japan. The process uses price sensitivity measurement (PSM) as a pricing technique. In the experiment, conducted in nine retail stores, the most successful sales promotion condition saw an increase of 900% in monetary sales without price discounting during the two weeks of the experiment, and 500% in the two weeks after that.