CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information

Bernabé-Moreno, Juan; Tejeda-Lorente, Álvaro; Porcel, Carlos; Fujita, Hamido; Herrera‐Viedma, Enrique

doi:10.1016/j.knosys.2014.12.033

Cited by 41 publications

(14 citation statements)

References 61 publications

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“…is result shows that communications made on the social networks of companies in a given sector, including positive metrics such as the number of likes, the number of shares, and the characteristics of the posts and their links, influence promotional actions. e confirmation of this hypothesis also contributes to the positive results from other studies [13,23,63]. erefore, it seems imperative that actions of promotion and recruitment are conditioned by social networks in mobile applications powered by linked data.…”

Section: Discussionsupporting

confidence: 55%

“…In addition, the research carried out by Bernabé-Moreno et al [13] develops an enriched consumer recruitment system to increase retention of users in campaigns on social networks.…”

Section: Conceptual Framework and Hypothesis Developmentmentioning

confidence: 99%

“…Like [4,13], the research of Peters et al [14] defines good practices for social network management in an organization in which a framework is proposed with three main components which define the main social media elements, based on marketing, sociology, and psychology theories, and baptize these terms as "motives," "content," "structure" and "roles and interactions," based on the theoretical framework.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Social Networks on the Development of Recruitment Actions that Favor User Interface Design and Conversions in Mobile Applications Powered by Linked Data

Palos-Sánchez

Saura

Debasa

2018

Mobile Information Systems

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is study analyzes the most important influence factors in the literature, which have the greatest influence on the conversions obtained in a mobile application powered by linked data. With the study of user interface design and a small user survey (n � 101,053), we studied the influence of social networks, advertising, and promotional and recruitment actions in conversions for mobile applications powered by linked data. e analysis of the users' behavior and their application in the design of the actions to promote and capture constitutes an important part of the current theories of digital marketing. However, this study shows that its results may be contradictory and depend on other factors and circumstances when mobile applications powered by linked data are considered. e predictive value, reached by the developed model, may be useful for professionals and researchers in the field of digital marketing and the user interface design in mobile applications powered by linked data.

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Section: Discussionsupporting

confidence: 55%

“…In addition, the research carried out by Bernabé-Moreno et al [13] develops an enriched consumer recruitment system to increase retention of users in campaigns on social networks.…”

Section: Conceptual Framework and Hypothesis Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Influence of Social Networks on the Development of Recruitment Actions that Favor User Interface Design and Conversions in Mobile Applications Powered by Linked Data

Palos-Sánchez

Saura

Debasa

2018

Mobile Information Systems

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“…With early audits suggesting that only about 1% of an average firm's Facebook fans show any engagement with the brand by Liking, sharing or commenting, attention shifted from acquisition of followers to the design of content that achieves better reach and engagement amongst social media followers (Lee, Hosanagar & Nair, 2014). SM rapidly moved from simply being a channel in the communication strategy of a company to become a "game changer" providing engagement with customers (Bernabe-Moreno et al, 2015).…”

Section: Contentmentioning

confidence: 99%

Keys to success in Social Media Marketing (SMM) – Prospects for the German airline industry

Knoblich

Martin

Nash

et al. 2016

Tourism and Hospitality Research

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The continuous growth and economic contribution of Germany’s commercial aviation industry are directly linked to the implementation of new marketing practices. Especially in light of challenging market conditions and fierce competition within a highly segmented industry, new marketing paradigms assist airlines to overcome difficulties in order to promote their brands, products and services more effectively and in a circulated manner. In this regard, Social Media Marketing provides German airlines with a powerful set of marketing tools and multiple platforms to digitally gather, communicate, collaborate and share content with its customers. Despite a growing public awareness, an extensive review of current and relevant literature revealed that consumer perceptions on German airline organisations’ Social Media practices have not been examined. This paper aims to address this.

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“…In accordance with the potential that big data offers, an increasing number of studies have focused on techniques for analysing new and diverse digital data streams to reveal new sources of economic value, provide fresh insights into customer behaviour and identify market trends in advance (Bernabé-Moreno et al, 2015;Harrigan et al, 2014;Malthouse et al, 2013). Sentiment Analysis (SA) is one of the main agenda in big data that focuses on various ways to analyse big data to identify patterns and relationships, make informed predictions, deliver actionable intelligence and gain business insight from this steady influx of information.…”

Section: Introductionmentioning

confidence: 99%

Overview and Future Opportunities of Sentiment Analysis Approaches for Big Data

Sharef¹,

Zin²,

Nadali³

2016

Journal of Computer Science

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Abstract:The ability to exploit public sentiment in social media is increasingly considered as an important tool for market understanding, customer segmentation and stock price prediction for strategic marketing planning and manoeuvring. This evolution of technology adoption is energised by the healthy growth in big data framework, which caused applications based on Sentiment Analysis (SA) in big data to become common for businesses. However, scarce works have studied the gaps of SA application in big data. The contribution of this paper is two-fold: (i) this study reviews the state of the art of SA approaches. including sentiment polarity detection, SA features (explicit and implicit), sentiment classification techniques and applications of SA and (ii) this study reviews the suitability of SA approaches for application in the big data frameworks, as well as highlights the gaps and suggests future works that should be explored. SA studies are predicted to be expanded into approaches that utilise scalability, possess high adaptability for source variation, velocity and veracity to maximise value mining for the benefit of the users.

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CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information

Cited by 41 publications

References 61 publications

The Influence of Social Networks on the Development of Recruitment Actions that Favor User Interface Design and Conversions in Mobile Applications Powered by Linked Data

The Influence of Social Networks on the Development of Recruitment Actions that Favor User Interface Design and Conversions in Mobile Applications Powered by Linked Data

Keys to success in Social Media Marketing (SMM) – Prospects for the German airline industry

Overview and Future Opportunities of Sentiment Analysis Approaches for Big Data

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