Digital marketers have a range of tools at their disposal for understanding customers and prospects on social media. These tools allow for better social media monitoring and analysis through the provision of vital insights. The use of artificial intelligence (AI) to such analysis enables for marketing tasks automation, accuracy improvement and human efforts reduction. In this respect, this paper proposes an AI-powered social media monitoring platform, which has been designed with an innovative approach, towards enabling digital marketers to better understand customers with intelligent insights in a manner like never before. The proposed platform helps by analyzing insights for effective online reputation management and competitors monitoring. In addition, this paper elaborates on contributions in respect to social media monitoring issues, mentions analysis uncovering knowledge, smarter insights and personalized advice to help in improving brands web and social presence, negative and positive conversations, competitors analysis ensuring brands are on top of the marketing game and social media strategy improvement.

This paper proposes a novel electronic customer relationship management (e-CRM) model based on the convergence among interactive digital television and multimedia networks. This model enables for the design of effective advertising strategies in tourism industry, by exploiting data mining methods such as predictive visual analytics. The e-marketing system that is created based on the proposed model, is used to optimally display the collected data, revealing customers' preferences to e-marketers through emerging user-friendly interfaces. The applicability and usefulness of the system were tested, by interviewing a sample of hotel marketing managers. The findings provide useful practical implications and highlight the need for the adoption of e-CRM concepts with focus at establishing high quality relationships among customers and stakeholders in tourism industry.

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This paper proposes an efficient customer relationship management model based on technological convergence of emerging next generation networks, such as interactive digital television and network multimedia systems. The proposed research approach is exploited in tourism sector for effective destination management, enabling for personalized e-marketing strategies and facilitating marketers to accomplish optimum marketing data analysis. The proposed research approach is evaluated for its applicability and usefulness by interviewing a sample of Destination Marketing Organization managers. The findings of this research provide useful practical implications.

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