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Implementing big data analytics and client customization programs is causing a significant revolution in the insurance sector. This study examines how big data analytics may revolutionize the insurance industry, emphasizing how consumer customization can improve customer experiences, maximize risk assessment, and spur company expansion.

An empirical study with statistical analysis using tools like correlation and regression was carried out to ascertain the relationships between the various sets of variables—personalized customer experiences and customer satisfaction and customer profiling leads to more effective targeting of marketing efforts. We explore essential ideas like client segmentation, profiling, and retention via a thorough analysis of the literature and case studies, showcasing best practices and inspirational tales from top insurers.

The empirical study found that there is a very high correlation between transparency in data and stakeholders' trust. The study found that insurers may preserve their innovation-driven culture, strengthen customer relationships, and achieve sustainable development in a competitive market by embracing future technological innovations and resolving current challenges.

Insurance companies may seize new chances for individualized client experiences and long-term success in a market that is becoming increasingly competitive by utilizing cutting-edge technology like artificial intelligence and the Internet of Things. To effectively manage the changing terrain of consumer customization in the digital age, insurance professionals, academics, and legislators will find this study highly insightful.

The study is an original contribution based on literature and case studies analysis, showcasing best practices and inspirational tales from top insurers.

This study aims to explore the relationship between brand image and buying intentions, which is crucial in understanding consumer buying behaviour. This study aims to review the literature, identify research trends and further suggests research directions for future study.

A bibliometric analysis was conducted on 402 research articles extracted from the Scopus database, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The study includes performance analysis, science mapping and network visualization, with VOSviewer and Biblioshiny software for the analysis. It examines publication trends, prolific countries, institutions, authors, highly cited papers, keyword co-occurrence and thematic evolution for a comprehensive analysis.

The study reveals the increasing scholarly interest of researchers in brand image and purchase intention over time and identified various research themes. Results state that Brand image and purchase intention themes remained central throughout both time zones (1995–2012 and 2013–2024). Emerging themes of the field include green marketing, corporate social responsibility, influencer marketing and entrepreneurial marketing.

This research study makes an addition to the body of literature by identifying the research hotspots and areas that need further investigation. Further, the thematic evolution of the brand image and purchase intentions illustrates how perception at various consumer levels and decision-making process has shifted over time in response to changing market dynamics. This study is of quite paramount importance for a vast group of stakeholders including researchers, businesses, brand managers, policy makers, marketing professionals and future research scholars.

E-retailers face challenges in adding, engaging and retaining customers. Voice interface is a new and more inclusive modality that provides customers with a hands-free, convenient e-shopping option and is relevant for e-retailers. However, the voice interface is significantly different from the text interface that consumers are accustomed to. This study investigates customer experiences with voice interface for search and selection of products on e-commerce platforms and its subsequent impact on customer engagement and enhanced usage.

We conducted 34 in-depth interviews with executive management students. For analysis and findings, we used a grounded theory paradigm and thematic analysis.

Based on in-depth probing and analysis consumers' experiences with voice interfaces in e-commerce platforms, we identified two enablers: customer satisfaction and awe-experience that positively impacted and two inhibitors: risk perceptions and inertia that negatively impacted customer engagement and enhanced usage of voice interface.

Voice interface is transforming the customer journey in the online shopping domain. How customers experience voice interfaces when searching and selecting products on e-commerce platforms impacts their engagement with the platform and their intentions to use voice modality to interact with the e-retailer in the future. The findings substantiate tenets of dual-process theory and found that enabling and inhibiting factors are independent and can coexist. The study identifies the most salient factors that positively and negatively affect customer engagement and enhanced usage of voice interfaces.