Digital Marketing Strategies for Effective Customer Relationship Management

Digital marketing is growing at a rapid rate.Nearly one in 10 Internet visits ends up at a social network;nearly one in four page views is on a social networking site,thus,making social networking a lucrative option for brand managers to market their brand and to create a brand identity.It is felt that people’s brand choices used to be heavily influenced by advertising.Today,this pattern is changing.Persons with access to computers,iPads,or smart phones now take time to reach the brands in a category,such as cars or TV,before making their final choice.Younger persons find it very easy to look up information about products on the Internet,ask their Facebook friends,attend to bloggers,and watch YouTube.Under this backdrop,this paper will address the various digital marketing strategies for effective customer relationship management.

Management of Address Information to Improve Quality of Customer Contact

Customer relationship management systems are gaining importance in today's business environment since customer satisfaction is crucial to the success of an enterprise, and especially so in e-business environment where customers can find substitute suppliers quite easily. In CRM, the quality of customer information is very important, and the address information even more so. It is because the address information plays a major role for customer contact channel and for timely and effective marketing service. Furthermore, it gives the basic source of geographic information for the offline delivery, the terminal activity of the e-commerce. In this study, we analyze various standards and proposals for the address information, and propose data models for the management of the information focusing on address components, and proto-type systems for management and service.

Research of CRM Based on Customer Intelligence Engine

The discipline of business intelligence addresses a broad range of functional activities from data mining and statistical analysis to predictive modeling and reporting, and customer intelligence is the actionable output from an intelligence eco-system. In order to focus enterprise's attention on their customers satisfaction in the customer relationship management and make CRM system run more efficiently, a new concept of customer intelligence engine(CIE) is proposed at first time in the paper, the architecture of CIE is structured, the trigger of CIE is defined and described, the CIE-based CRM eco-system is also discussed.

Voice Response Questionnaire System for Speaker Recognition Using Biometric Authentication Interface

The use of voice to perform biometric authentication is an importanttechnological development,because it is a non-invasive identification methodand does not require special hardware,so it is less likely to arouse user disgust.This study tries to apply the voice recognition technology to the speech-driveninteractive voice response questionnaire system aiming to upgrade the traditionalspeech system to an intelligent voice response questionnaire network so that thenew device may offer enterprises more precise data for customer relationshipmanagement(CRM).The intelligence-type voice response gadget is becominga new mobile channel at the current time,with functions of the questionnaireto be built in for the convenience of collecting information on local preferencesthat can be used for localized promotion and publicity.Authors of this study propose a framework using voice recognition and intelligent analysis models to identify target customers through voice messages gathered in the voice response questionnaire system;that is,transforming the traditional speech system to anintelligent voice complex.The speaker recognition system discussed hereemploys volume as the acoustic feature in endpoint detection as the computationload is usually low in this method.To correct two types of errors found in the endpoint detection practice because of ambient noise,this study suggests ways toimprove the situation.First,to reach high accuracy,this study follows a dynamictime warping(DTW)based method to gain speaker identification.Second,it isdevoted to avoiding any errors in endpoint detection by filtering noise from voicesignals before getting recognition and deleting any test utterances that might negatively affect the results of recognition.It is hoped that by so doing the recognitionrate is improved.According to the experimental results,the method proposed inthis research has a high recognition rate,whether it is on personal-level or industrial-level computers,and can reach the practical application standard.Therefore,the voice management system in this research can be regarded as Virtual customerservice staff to use.

Gap Model for Dual Customer Values

The customer value, the key problem in customer relationship management （CRM）, was studied to construct a gap model for dual customer values. A basic description of customer values is given, and then the gaps between products and services in different periods for the customers and companies are analyzed based on the product or service life-cycle. The main factors that influence the perceived customer value were analyzed to define the ＂recognized value gap＂ and a gap model for the dual customer values was constructed to supply companies with a tool to analyze existing customer value gaps and improve customer relationship management.

SUPPORTING SALESPERSONS’ CRM EFFORTS THROUGH LOCATION-BASED MOBILE SUPPORT SYSTEMS

This paper aims at assessing how location-based mobile support systems can support salespersons′ CRM efforts when they are operating within a highly mobile work environment. After briefly discussing the state-of-the-art issues associated with mobile location technologies, the paper conceptualizes key dimensions for location-based mobile support systems. The paper then discusses the dual role of salespersons in CRM. A fourth section suggests a categorization of salespersons′ CRM tasks based on both properties of location-based mobile support and the areas of salespersons’ CRM-related tasks that may be affected by mobile location technologies. Finally, the paper suggests potential mobile location services and applications that can help salespersons perform effectively their everyday CRM tasks and link such applications to the determinant of salespersons′ performance. The paper concludes with a discussion of some critical issues and suggests areas for further research.