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Through a bibliometric analysis and scientific mapping, this study aims to examine research in the field of social marketing over the past 50 years and to propose a future research agenda.

A bibliometric analysis based on keyword co-occurrences is used to analyze 1,492 social marketing articles published from 1971 to 2020. The articles were extracted from the Web of Science and Scopus databases. SciMAT software was used, which provides a strategic diagram of topics, clusters, networks and relationships, allowing for the identification and assessment of relational connections among social marketing topics.

The results show that advertising, fear and children were some of the driving themes of social marketing over the past 50 years. In addition, the analysis identifies four promising areas for future research: consumption, intervention, strategy and analytical perspectives.

This analysis can serve as a reference guide for future research in the field of social marketing. This study focused on quantitative analysis. An in-depth qualitative analysis would be a valuable future extension.

This research offers a unique systematic analysis of the progression of social marketing scholarship and provides a guide for future research related to social marketing. Importantly, this work suggests crucial issues that have not yet been sufficiently developed.

The paper aims to identify the major research themes in consumer financial services between 2000 and 2020, their relative magnitude and interrelationship, to identify which themes have been most influential and to map the evolution of the field and identify emerging and under-researched themes that are promising for future research.

The core methodology is bibliometric analysis based on keyword co-occurrences. A total of 1,227 articles extracted from the Social Science Citation Index, Emerging Sources Citation Index and Scopus are used in the analysis. Key outputs of the SciMAT software are the research themes, and graphical outputs are called science mapping (evolution of the themes over time), strategic diagrams (visual representation of themes in a 2 × 2 grid) and cluster networks (themes and connected themes based on keyword co-occurrences).

The findings show that customer satisfaction, innovation, corporate social responsibility (CSR), Internet and consumer acceptance were the main so-called motor themes in the study period. Furthermore, five areas for further research are identified and discussed: Issues related to technology; marketing and consumer behavior; markets and industry; product and service development; and branding.

Bibliometric research allows the researcher to process large volumes of articles covering a broad scope, leading to rich and insightful results. However, for greater detail and nuance, the authors recommend supplementing the results of this study with a more focused and thorough qualitative literature review for each theme of interest.

Bibliometric analysis is under-used in management research. The authors are not aware of similar recent work in consumer financial services. The main value of this paper lies in knowledge dissemination to a wider audience (including practitioners and researchers in adjacent areas) and providing a rigorous platform for identifying future research opportunities.

The current approach to valuing customers is based on the notion of discounted profit generated by the customers over the lifetime of the relationship, also known as customer lifetime value (CLV). However, in the financial services industry, the customers who contribute the most to the profitability of a firm are also the riskiest customers. If the riskiness of a customer is not considered, firms will overestimate the true value of that customer. This paper proposes a methodology to adjust CLV for different types of risk factors and creates a comprehensive measure of risk-adjusted lifetime value (RALTV).

Using data from a major credit card company, we develop a measure of risk adjusted lifetime value (RALTV) that accounts for diverse types of customer risks. The model is estimated using Stochastic Frontier Analysis (SFA).

Major findings indicate that rewards cardholders and affinity cardholders tend to score higher within the RALTV framework than non-rewards cardholders and non-affinity cardholders, respectively. Among the four different modes of acquisition, the Internet generates the highest RALTV, followed by direct mail.

This paper not only controls for different types of consumer risks in the financial industry and creates a comprehensive risk-adjusted lifetime value (RALTV) model but also shows empirically the value of using RALTV over CLV for predicting future performance of a set of customers. Further, we investigate the impact of a firm’s acquisition and retention strategies on RALTV. The measure of risk-adjusted lifetime value is invaluable for managers in financial services.