scholarly journals Customer relationship management: a new dimension of managing customers

2021 ◽  
Vol 11 (3) ◽  
pp. 31-34
Author(s):  
Haritha K
Keyword(s):  
Organizational Change ◽  
Marketing Strategy ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Marketing Research ◽  
Customer Behavior ◽  
Marketing Strategies ◽  
Customer Relationship ◽  
Advertising Expenditure ◽  
Traditional Marketing

CRM or Customer Relationship Management is a system that caters to the management of a firm’s interactions with past, present,and future customers. Since the beginning of the new millennium, traditional marketing practices have not been effective in yielding good returns. Companies have turned reluctant to spend huge advertising expenditure and marketing research –the potent tool of getting deeper insights of customer has lost its charisma. Due to enigmatic customer behavior, it becomes inevitable for the companies to develop new marketing strategies. CRM has emerged as a new marketing strategy in that tenor.This article deals with importance of CRM and customer modeling. Further it extends the constraints of CRM and how it affects the organizational change.

scholarly journals Prediction of customer behaviour through datamining assets

2009 ◽  
Vol 57 (3) ◽  
pp. 43-54
Author(s):  
Naděžda Chalupová
Keyword(s):  
Neural Network ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Marketing Strategies ◽  
Customer Relationship ◽  
Business Managers ◽  
Correct Decision ◽  
Commercial Success ◽  
Customer Behaviour ◽  
Managerial Decisions

Business managers accounting for commercial success or non-success of the organization have to gain knowledge needful for correct decision acceptance. These knowledge represent sophisticated information hidden in enterprise data. One possibility, how to extract mentioned knowledge from data, is to use so-called datamining assets.The paper deals with an application of chosen basic methods of knowledge discovering in da­ta­ba­ses for area of customer-provider relation and it presents, how to avail acquired knowledge as basis of managerial decisions leading to improving of customer relationship management. It solves prediction, whose aim is, on the basis of some attributes of exploring objects, to predict future be­ha­viour of objects with these attributes. This way acquired knowledge, as the output of prediction, then can markedly help competent enterprise manager with planning of marketing strategies, for example so-called cross-selling and up-selling. The contribution describes a whole operation of available data processing: from its purifying, over its preparation for mining task, to self processing by the help of SAS Enterprise Miner tool. Regression analysis, neural network and decision tree, whose principles are briefly explained in this paper too, were used for knowledge mining. The estimation of customer behaviour was tested by two mining task varying in attribute using and in categories number of one of predicive attributes. The results of these two tasks are confronted by the help of prediction fruitfulness charts.

Analysis of the Variables which Determine a Good E-Marketing Strategy

2011 ◽  
pp. 152-168
Author(s):  
Beatriz Sainz de Abajo ◽  
Isabel de la Torre Díez ◽  
Miguel López Coronado
Keyword(s):  
Marketing Strategy ◽  
Customer Relationship Management ◽  
Search Engines ◽  
Relationship Management ◽  
Strategic Plan ◽  
Internet Marketing ◽  
Global Market ◽  
Customer Relationship ◽  
The Internet ◽  
E Mail

Internet marketing covers all aspects related to the promotion and sale of a product or service through the Internet. This chapter demonstrates how adequate planning is fundamental in a Small and Medium-sized Enterprise (SME) to increase sales. The objective is to analyze the aspects which must be taken into consideration when developing a good e-marketing strategy and to study some of the different alternatives that the Internet and e-marketing make available to us: e-mail marketing, viral e-marketing, geomarketing, and positioning within search engines. Also the concept of Customer Relationship Management (CRM) will be analyzed. The leap into the global market is not easy and the reduction in budgets has inspired marketing professionals to adopt strategies which can be measured and the results controlled, pointing out that the online tactics and tools used by the vast majority of marketing professionals in their strategic plan are banners, search engines, and e-mail.

scholarly journals The Integration Paradigm of Social CRM

2018 ◽  
Author(s):  
Sumitro Sarkum
Keyword(s):  
Social Media ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Marketing Strategies ◽  
Customer Relationship ◽  
Company Performance ◽  
New Paradigm ◽  
Customer Involvement ◽  
Social Crm ◽  
New Generation

The emergence of social media changing the map of central power with the creation of a customer centric as a new generation of powerful, sophisticated, difficult to influence, induced and maintained. To deal with these changes, Customer Relationship Management assessment metrics to integrate social media and turned into a Social CRM (Customer Relationship Management) as a new paradigm in marketing. To achieve goals and improve company performance required customer involvement in implementing marketing strategies in social media.

scholarly journals RERANGKAINTEGRASI NILAIPELANGGAN DAN KINERJA MANAJEMEN HUBUNGAN PELANGGAN BERDASARKAN PERSEPSI PELANGGAN KORPORAT

2010 ◽  
Vol 9 (1) ◽  
Author(s):  
Ellen Dwi Cahya ◽  
Siti Rahayu ◽  
Ema Andajani
Keyword(s):  
Customer Satisfaction ◽  
Customer Relationship Management ◽  
Brand Loyalty ◽  
Customer Value ◽  
Relationship Management ◽  
Customer Behavior ◽  
Customer Relationship ◽  
Management Performance ◽  
Behavior Based ◽  
The Impact

This research focuses on the influence of the dimensions of customer value to the customer satisfaction, brand loyalty, and customer behavior-based Customer Relationship Management performance; the influence of customer satisfaction on brand loyalty and customer behavior-based Customer Relationship Management performance; the influence of brand loyalty to customer behavior-based Customer Relationship Management performance. Based on samples taken the corporate customer Hotel Roditha Banjarmasin, then this research shows that customers value that includes emotional value, functional value has a significant impact on customer satisfaction, brand loyalty, and customer behavior-based Customer Relationship Management performance, while the other dimensions of customer value customer perceived sacrifices have no significant impact on customer satisfaction, brand loyalty, but the impact on customer behavior-based Customer Relationship Management performance and social values have a significant impact on customer satisfaction and brand loyalty; customer satisfaction has a significant impact on brand loyalty and customer behavior-based Customer Relationship Management performance ; and brand loyalty has a significant impact on customer behavior-based Customer Relationship Management performance

A Customer Relationship Management System to Target Customers at Cisco

2011 ◽  
pp. 209-221
Author(s):  
Rahul Bhaskar
Keyword(s):  
Marketing Strategy ◽  
Customer Relationship Management ◽  
Management System ◽  
Relationship Management ◽  
Customer Relationship ◽  
A Company

This case describes the implementation of an Internet empowered Customer Relationship Management (CRM) at Cisco Systems Inc. After describing the organizational background of Cisco, the case takes the student into the issues that the executives faced after the market crash in 2001. John Chambers, Cisco CEO, and his team decided to strengthen Cisco’s relationship with the customers so that the company could emerge stronger when the markets recovered. Questions are raised as to the implementation of technology and supporting processes in a company that traditionally had not considered CRM as its core marketing strategy.

Data-Driven Customer Centricity

2015 ◽  
pp. 157-174
Author(s):  
Othman Boujena ◽  
Kristof Coussement ◽  
Koen W. de Bock
Keyword(s):  
Competitive Advantage ◽  
Customer Relationship Management ◽  
Predictive Analytics ◽  
Relationship Management ◽  
Customer Behavior ◽  
Customer Relationship ◽  
Data Driven ◽  
Customer Data ◽  
Business Environments ◽  
Customer Centricity

Customer relationship management (CRM) is becoming a very hot topic nowadays in academia and business environments. Indeed, companies are constantly searching for new innovative ways to create or maintain their competitive advantage. Due to the recent advances in Internet and technology, CRM predictive analytics is becoming an important tool in the toolset of the marketer. It is the practice of using the huge volumes of historical customer data to predict future customer behavior. This chapter introduces the reader to the shift towards a data-driven customer centricity approach, where marketers act upon what they know, rather than upon what they think.

Sign in / Sign up

Export Citation Format

Share Document