Factors influencing effective electronic word-of-mouth marketing

Marketing serves to satisfy customer needs and wants while building strong customer relationships in an effort to gain value from customers in return. On understanding that customer satisfaction is needed for a business to survive and grow, the important role marketing plays within a business is emphasised as it contributes to overall business performance. Building relationships also emphasises the importance of communication within marketing. Traditional person-to-person word-of-mouth communication has always played a role in marketing a product or service. The evolution of technology over recent years has enabled electronic word-of-mouth (eWOM), which is frequently carried out and has proven to be another effective marketing tool. Due to the fundamental role that marketing plays within a business and the frequent use of electronic word-of-mouth as a marketing tool it is important that business owners and marketers are aware of the factors influencing the effectiveness of it. This study explores eWOM from a marketing perspective, through investigating the factors that contribute towards the effectiveness of eWOM as a marketing tool. Therefore the primary objective of the study was to investigate the factors influencing effective eWOM marketing. A quantitative research approach was followed to empirically test the hypotheses and determine whether relationships exist between the four independent variables (factors influencing eWOM) and the dependent variable (effective eWOM marketing). A self-administered, five-point Likert-scale style structured questionnaire was used to obtain the data. The sample for this study comprised of 360 consumer respondents within the Nelson Mandela Metropole. An exploratory factor analysis extracted four valid constructs namely feedback, trustworthiness, social status and networking as the factors influencing effective eWOM marketing. Cronbach’s alphas confirmed the reliability of all extracted constructs. Most correlation results indicated moderate associations between the variables. However, effective eWOM marketing proved to have a strong correlation with social status. The results of the multiple regressions for the factors influencing effective eWOM marketing identified three statistically significant relationships between feedback, social status, networking and effective eWOM marketing. MANOVAS confirmed eleven statistically significant relationships of which only three were of practical significance. Practical significant relationships exist between ethnic affiliation, current position, years working experience and social status. In addition to identifying the three specific factors influencing effective eWOM marketing, namely online feedback, the need to obtain social status and the desire to engage in online networking, this study has made several contributions, specifically to eWOM marketing. This study has recommended specific online marketing strategies to increase effective eWOM for online feedback, for individuals to obtain social status and to engage in online networking. The hypothesised model developed from the study, illustrating the three factors that influence effective eWOM marketing for South African consumers, can now be used by other researchers in other countries as a framework for further testing or for businesses/marketing organisations to obtain information on the attributes to pay attention to increase the effectiveness of their eWOM marketing. The role that demographics such as ethnic affiliation, position in the business and years working experience play in satisfying the need of individuals to obtain social status in an online setting via eWOM marketing, were also confirmed. Furthermore, this study has provided practical advice to businesses/marketing organisations on how to utilise this knowledge to their advantage when wishing to stimulate eWOM conversations about their products and services. The findings of the research will also assist businesses/marketing organisations to initiate eWOM engagement and communicate more effectively with consumers online to obtain information on how to improve on and change existing products/services or the need for new product/service offerings to retain customers, ensure continuous consumer satisfaction and increase business turnover