With the expanding availability of market data, firms are increasingly reliant on analytical capabilities as a source of competitive advantage, a trend that is reflected in the rising budgets allocated to data and analytics (The CMO Survey, 2022). Analytical capabilities denote firms' capacity to define and extract insights from the available data and link these insights to decision-making (e.g., Cao et al., 2019; Penttinen & Frösén, 2022). Despite the growing influence of the capability perspective on marketing analytics, which is rooted in the resource-based view (Barney, 1991), the understanding of analytical capabilities as a source of performance disparities remains in its early stages. In particular, although analytical capabilities of firms constitute (1) capabilities internal to the firm, as well as (2) those shared within the firm’s broader business network, the vast majority of previous research focuses on the development and use of internal analytical capabilities only (Gupta & George, 2016; Wedel & Kannan, 2016). As a result, there remains limited understanding regarding shared analytical capabilities that assume close collaboration between business partners, such as suppliers, buyers, and third parties, in developing and sharing data and insights (Alinaghian & Razmdoost, 2018; Penttinen & Frösén, 2022) and extend beyond the boundaries of individual firms.

Economic fluctuation has a remarkable influence on firms and their performance (e.g., Deleersnyder, Dekimpe, Sarvavy, & Parker, 2004; Srinivasan, Rangaswamy, & Lilien, 2005). Given the extreme conditions and frequency of recessions (since World War II, recessions have occurred every six years; Srinivasan et al., 2005), understanding what kind of marketing is effective across the different phases of the economic cycle is a crucial question for marketers (e.g., Steenkamp & Fang, 2011; Srinivasan, Lilien, & Sridhar, 2011). In business-to-business markets, characterized by a strong emphasis on long-term customer relationships (e.g., Grönroos, 1997), the ability to gain a deep understanding of customers and their changing needs is a central determinant of firm performance. Therefore, in such markets, market orientation (MO) provides a particularly important source of competitive advantage. During an economic crisis, MO may also serve as an effective shelter against declining firm performance, particularly in industrial markets (Alajoutsijärvi, Klint, & Tikkanen, 2001). The key rationale is that highly market-oriented firms are able to rapidly and accurately identify changes in the marketplace and respond to shifting customer needs and competitors’ actions (Narver & Slater, 1990). While a vast body of literature evidences MO in general to yield performance gains for firms (Kirca, Jayachandran, & Bearden, 2005), some recent studies (e.g., Kumar, Jones, Venkatesan, & Leone, 2011) have questioned this relationship. Recent empirical studies (e.g., De Luca, Verona, & Vicari, 2010; Noble, Sinha, & Kumar, 2002) also propose that the different components of MO (i.e., customer orientation, competitor orientation and interfunctional coordination) may result in different performance outcomes. Furthermore, recent studies have shown the economic environment to play an important role in determining the performance outcomes and, thus, effective forms of MO (cf. Smirnova, Naudé, Henneberg, Mouzas, & Kouchtch, 2011). In this study, using panel data of 140 firms from before and after the great financial crisis, we examine the performance implications of distinct forms of MO 1) over the changing economic cycle 2) among different types of business-to-business focused firms. Employing ordinary least squares regression analysis, our findings suggest that MO and its distinct components yield varying performance impacts from economic upturn to downturn. Specifically, the impact of MO increases during downturn, with interfunctional coordination boosting performance and competitor orientation becoming detrimental. Subsequently, employing configurational analysis (fuzzy set qualitative comparative analysis), our findings further indicate that the role and the most effective forms of MO vary across industry sectors, with MO having a particularly strong impact among firms operating in business-to-business services. We also conclude that, in a growing economy the role of MO has become more of a cost of competing (Kumar et al., 2011), whereas in an economic downturn MO still provides a valuable shelter against performance declines. Finally, our empirical findings are in line with contingency arguments, and suggest that the successful ways for a firm to relate with its markets depend on the dynamic firm- and industry-specific settings.