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Despite the availability of many metrics and tools for marketing performance measurement, the way in which firms use their marketing metrics remains underexplored. This study aims to address this gap by empirically establishing the differing effects of the diagnostic and interactive uses of marketing metrics on firms’ market-sensing capability, contingent on competitive intensity and focus on market-related metrics.

This study builds on survey data collected from 210 Irish-based firms, complemented by 21 in-depth interviews with business managers. Survey data are analysed using regression analysis.

This study finds that firms using marketing metrics interactively to communicate organizational focus are better able to sense their markets, especially under high competition. The authors observe a positive impact of the interactive use of metrics on market-sensing capability, but a U-shaped impact of their diagnostic use, the magnitudes of which further depend on competitive intensity and firms’ focus on market-related metrics.

This study provides a nuanced view of marketing performance measurement (MPM) practices within firms, particularly focussing on diagnostic versus interactive uses of marketing metrics. It also sheds further light on how two diverse uses of marketing metrics – diagnostic and interactive uses – influence a firm’s market-sensing capability. Moreover, the identification of boundary conditions also contributes to the discussion of contextuality in MPM, highlighting the importance of aligning a firm’s uses of marketing metrics with its business environment.

This study provides novel insights into how diverse uses of marketing metrics may benefit firms. The differing effects of diagnostic and interactive uses of marketing metrics on market sensing highlight a primary need for developing the latter and for using the former only with caution. It establishes that all firms would equally benefit from an interactive use of marketing metrics that is pivotal to improving their ability to anticipate, detect and sense market changes.

This study provides novel understanding of the role of marketing metric uses in firms’ market-sensing capability and contributes to the discussion of contextuality in marketing performance measurement. It highlights the importance of aligning a firm’s use of marketing metrics with its business environment.

Driven by the growing pressure to justify the contributions of marketing activities, marketers have shown considerable interest in improving their marketing performance measurement systems (MPMSs). The purpose of this study is to examine the neglected mediating effect of marketing capabilities on the MPMS–firm performance relationship and to focus on specific aspects of MPMSs that have been largely omitted in the prior research, namely, the comprehensiveness and uses of MPMSs.

A survey was conducted with marketing and senior managers from 210 Irish-based companies. The proposed research model was tested by using the SPSS Process macro and structural equation modeling in AMOS 24.

The three characteristics of MPMSs influence firm performance in different manners: while the diagnostic use of MPMSs hinders the development of market-linking capability and thus negatively influences firm performance; the comprehensiveness of MPMSs positively influences firm performance through its impact on architectural marketing capability; and the interactive use of MPMSs via externally focused learning and market-linking capabilities.

Although this study used objective firm performance data to validate subjective data, the use of single-informant and self-reported measures may still be a concern, as the strong relationships between variables may be because of single-informant bias.

This study provides insights into how companies can use a comprehensive MPMS to cultivate specific crucial marketing capabilities and thereby enhance firm performance.

This study contributes to the marketing performance measurement literature by proposing and empirically validating the mediating effect of marketing capabilities on the MPMS–firm performance relationship.

While metrics are becoming increasingly important for marketing’s relevance, there is also a need to understand how they, as enablers of learning, affect marketing’s adaptive capabilities that ensure its long-term success. Therefore, this study aims to test the association of marketing and financial metrics use and the metric-based orientations of training and compensation, with two key marketing routines – exploitation, i.e. the perfecting of existing activities while allowing for incremental adaptations and exploration or experimentation accompanied by radical adaptation.

The study gathers data from 205 managers and uses partial least squares structural equation modeling to test the hypothesized relationships.

Marketing metrics encourage both forms of marketing adaptation. Financial metrics use discourages exploration. Market orientation and long-term orientation strengthen (weaken) the positive (negative) relationship between marketing (financial) metrics use and marketing exploration. Metric-based training is more positively associated with both adaptive capabilities than a metric-based compensation orientation, albeit weakly.

The study’s central proposition – that different metrics or metric orientations are associated with distinct types of knowledge, interpretations, mindsets, motivations and cultural contexts – provides a deeper theoretical understanding of the pathways by which a metric emphasis affects marketing adaptation.

Marketing managers should emphasize marketing metrics and training more than compensation, to promote marketing exploitation/exploration, while exercising caution in overstressing financial metrics given their negative association with exploration. This latter negative relationship can be weakened (as can the positive one between marketing metrics and exploration be strengthened) with increased market orientation and long-term orientation.

This study addresses the research gap regarding the relationship between metrics as a configurational element of marketing organization and marketing adaptation.

This innovative analysis aims to quantify the use of evaluation criteria in telemedicine and to identify current trends in metric adoption. The focus is to determine the frequency of actual performance metric reporting in telemedicine evaluation, in contrast to systematic reviews where assessment of study quality is the goal.

Automated literature search identified telemedicine studies reporting quantitative performance metrics. Studies were classified by telemedicine class; store‐and‐forward (SAF), real‐time consultation (RTC) and telecare (TC), and study stage. Studies were scanned for evaluation metric reporting, i.e. clinical outcomes, satisfaction, patient quality and cost measures.

Evaluation metric use was compared among telemedicine classes, and between pilot and routine use stages. Diagnostic accuracy was reported significantly more frequently in pilots for RTC and TC. Cost measures were more frequently reported in routine use for TC. Clinical effectiveness and hospital attendance were better reported in routine use for SAF. Comparison also revealed different evaluation strategies. In pilots, SAF favoured diagnostic accuracy, compared to RTC and TC. TC preferred clinical effectiveness evaluations and TC more frequently assessed patient satisfaction. Cost was only reported in less than 20 per cent of studies, but most frequently in RTC. Routine use led to increased reporting of all metrics, except diagnostic accuracy. Clinical effectiveness reporting increased significantly with routine use for RTC and SAF, but declined for TC.

Clinical outcomes and patient satisfaction were reported frequently in telemedicine studies, but reporting of other performance metrics was rare. Understanding current trends in metric reporting will facilitate better design of future telemedicine evaluations.

The purpose of this paper is to provide insights into the benefits of data‐driven services marketing and provide a conceptual framework for how to link traditional and new sources of customer data and their metrics. Linking data and metrics to strategic and tactical business insights and integrating a variety of metrics into a forward‐looking dashboard to measure marketing ROI and guide future marketing spend is explored.

A detailed synthesis of the literature is conducted and contemporary sources of marketing data are categorized into traditional, digital and neurophysiological. The benefits and drawbacks of each data type are described and advantages of integrating different sources of data are proposed.

The findings point to the importance and untapped potential of data in its ability to inform tactical and strategic marketing decisions. Future challenges, including top management support, ethical considerations and developing data and analytic capabilities, are discussed.

The results demonstrate the need for executive service marketing dashboards that include key metrics that are service‐relevant, complementary and forward‐looking, with proven linkages to business outcomes.

This paper provides a synthesis of data‐driven services marketing and the value of traditional and contemporary metrics. Since the true potential of data‐driven service management in a connected world is still largely unexplored, this paper also delineates fruitful avenues for future research.

The purpose of this paper is to empirically investigate the impact of a mature supplier performance measurement system (SPMS) adoption all along its lifecycle phases (i.e. design, implementation, use and review) on the suppliers’ performance.

The research hypotheses have been tested on a final sample of 147 pairs of buyer-supplier responses, collected by means of a dyadic survey involving manufacturing firms and one key supplier of their choice. The research framework has been tested through a structural model using PLS regression.

Considering the joint effect of all the four SPMS phases on supplier performance, the findings show that the system use and review play a prominent effect: the former have a positive impact on supplier quality, delivery and sustainability performance; the latter positively affects supplier delivery, innovation and sustainability. A mature design displays a positive effect on supplier sustainability performance, while a mature implementation results to negatively affect supplier innovation performance. Finally, cost performance is not impacted by any of the four phases.

This study contributes to the open debate regarding the relationship between SPMSs and actual supplier performance improvement. In particular, the lifecycle perspective is introduced to clearly distinguish among each phase of adoption and assess their relative impact on supplier performance. Besides, the dyadic nature of the study allows to investigate different subcomponents of supplier performance jointly considering the buyer company and supplier company perspective, thus achieving a more insightful and robust information.

The purpose of this study is twofold. First, it aims to provide a review of the Net Promoter© Index (NPI), the evidence of its ability to predict financial performance, and the evidence of its superiority to other voice of customer metrics. Second, it seeks to investigate the nomological validity of the Net Promoter question. It aims to view the NP question as an alternative to the traditional word-of-mouth measure, which is one of the components of customer loyalty. The nomological validity of NP was evaluated in a model including customer satisfaction as an antecedent and repurchase intention as a consequence.

The data for empirically addressing a set of hypotheses related to the nomological validity were collected via self-administered questionnaire. A total of 159 participants completed questions for banking services, 153 individuals completed questions for hairdresser/barber services, and 132 completed questions for cell phone services. The hypotheses were tested using partial least square analysis.

The results provide evidence for the nomological validity of the NPI question; albeit, the traditional word-of-mouth measure seems to perform equally as well or even better.

A set of pros and cons related to NPI are developed. The paper recommends including the NPI in a portfolio of voice of customer metrics but not as a standalone diagnostic tool. Further, given the present state of evidence, it cannot be recommended to use the NPI as a predictor of growth nor financial performance.

The paper provides further insights into the validity of the Net Promoter Index as a measure of customer loyalty.

This chapter examines firm strengths and weaknesses from the standpoint of intangible assets. These are compared within and across industry sectors in order to better understand who might be a potential collaborator (or competitor) in different contexts. Establishing the conceptual basis of a range of intangibles, including data, explicit knowledge, tacit knowledge, and intelligence, the chapter moves to metrics for assessing industry averages and individual firm capabilities. Finally, several sectors in healthcare are examined, specifically identifying what kinds of collaborators would best fit with a technology-driven start-up like Theranos.

As social media are essentially different from traditional media, due to their social networking structures and egalitarian nature, conventional media metrics are not appropriate. Social media networks have nevertheless become another communications channel that companies use to achieve their marketing goals. Even though the measurement of marketing constructs in social media is elusive, a comprehensive means of measuring engagement is proposed for a successful social media site: Twitter. The paper aims to discuss this issue.

A measurement for customer engagement based on conceptual reflections is presented in the context of Twitter.

A new environment fostered by internet obliges companies to manage social media accounts and to assess engagement with company brands. To do so, companies need to analyze engagement trends by means of a metric, helping them to design an appropriate engagement strategy. The proposed metric provides much needed insight for companies to fine-tune their engagement strategy. Moreover, a means of calculating engagement from the parameters that Twitter makes available to the public is also proposed.

The metric for engagement in Twitter that is proposed in this paper will be the starting point for future improvements through a conceptual and empirical discussion on this issue.

This is the first proposal specifically designed for Twitter, to the best of the authors’ knowledge, for measuring engagement.