Volume 3 Issue 1

Particularly in online settings, marketing is undergoing a transformation. Online business can no longer rely on traditional marketing tactics and campaigns to attract, retain and expand consumers because there is a transformation in how people interact with brands and companies, how they shop and buy in online and offline settings. Traditional marketing is no longer a viable option because it focuses on pushing a message out. In online business framework, a new marketing development has arisen, namely digital inbound marketing. This new marketing type is focused on attracting valuable consumers (potential, existing, or aspirational) that choose to interact with a particular company that provides them with something useful. In this paper, we propose a definition for digital inbound marketing and examine the online strategies associated with this concept: brand-focused marketing communications, content marketing, social media marketing, and search engine optimization.

Customer experience is gaining more and more attention from researchers. Particularly in tourism, this experiences may be determined by hedonic or utilitarian factors. However, there are other influences, both exogenous and endogenous, that may impact consumer behaviors in tourism. Thus, in this article, we explore the receptivity of consumers in terms of certain types of influences, exogenous and endogenous, to hedonic and utilitarian factors related to a tourism package. To examine these research questions, we employ exploratory factor analysis, confirmatory factor analysis, and structural equation modelling on a sample of 150 tourists from Europe and North America.

This paper proposes a probability model to explore the dynamic process of customer's satisfaction. Bases on expectation disconfirmation theory, the satisfaction is constructed with customer's expectation before buying behavior and the perceived performance after purchase. The experiment method is designed to measure expectation disconfirmation effects and we also use the collection data to estimate the overall satisfaction and model calibration. The results show good fitness between the model and the real data. This model has application for business marketing areas in order to manage relationship satisfaction.

The main aim of this study is to examine the relationship between the marketing mix elements and customer loyalty in Algeria Telecom company and to achieve these aspects we distributed a questionnaire to a random sample of the company's customers so that we use structural equations modeling depending on the partial least squares approach “PLS” to analyze and test the search model. The study finds that product, process, and promotion have a positive and significant effect on customer loyalty.