CUSTOMER RELATIONSHIP MANAGEMENT
'Customer relationship management' ('CRM') is a broad term that covers concepts used by companies to manage their relationships with customers, including the capture, storage and analysis of customer, vendor, partner, and internal process information.
There are three aspects of CRM which can each be implemented in isolation from each other:
★ Operational - automation or support of customer processes that include a company’s sales or service representative
★ Collaborative - direct communication with customers that does not include a company’s sales or service representative (''self service'')
★ Analytical - analysis of customer data for a broad range of purposes
META Group (acquired by Gartner in April 2005) developed this conceptual architecture in the late 1990s, and dubbed it the ''CRM Ecosystem''.
Operational CRM provides support to "front office" business processes, including sales, marketing and service. Each interaction with a customer is generally added to a customer's contact history, and staff can retrieve information on customers from the database as necessary.
One of the main benefits of this contact history is that customers can interact with different people or different contact ''channels'' in a company over time without having to repeat the history of their interaction each time.
Consequently, many call centers use some kind of CRM software to support their call center agents.
Collaborative CRM covers the direct interaction with customers, for a variety of different purposes, including feedback and issue-reporting. Interaction can be through a variety of channels, such as web pages, email, automated phone (Automated Voice Response AVR) or SMS.
The objectives of collaborative CRM can be broad, including cost reduction and service improvements.
Analytical CRM analyzes customer data for a variety of purposes:
★ Design and execution of targeted marketing campaigns to optimise marketing effectiveness
★ Design and execution of specific customer campaigns, including customer acquisition, cross-selling, up-selling, retention
★ Analysis of customer behavior to aid product and service decision making (e.g. pricing, new product development etc.)
★ Management decisions, e.g. financial forecasting and customer profitability analysis
★ Prediction of the probability of customer defection (churn).
Analytical CRM generally makes heavy use of predictive analytics.
Several commercial CRM software packages are available which vary in their approach to CRM. However, CRM is not just a technology, but rather a holistic approach to an organization's philosophy in dealing with its customers. This includes policies and processes, front-of-house customer service, employee training, marketing, systems and information management. Hence, it is important that any CRM implementation considers not only technology, but furthermore the broader organizational requirements.
The objectives of a CRM strategy must consider a company’s specific situation and its customers needs and expectations.
The technology requirements of a CRM strategy can be complex and far reaching.
The basic building blocks:
★ A database to store customer information. This can be a CRM specific database or an enterprise data warehouse.
★ Operational CRM requires customer agent support software.
★ Collaborative CRM requires customer interaction systems, e.g. an interactive website, automated phone systems etc.
★ Analytical CRM requires statistical analysis software as well as software that manages any specific marketing campaigns.
Each of these can be implemented in a basic manner or in a high end complex installation.
It is also important to mention here that a CRM system is capable of executing all the three sub modules via multiple communication Channels. These channels can be:
# Direct
# Online (Internet)
# Call Center (via Phone/FAX/Email etc)
All the three CRM Sub Modules (Marketing, Sales and Service) can be executed across these Communication channels. Based on these criteria, CRM offerings can be further sub divided into following:
While there are numerous reports of "failed" implementations of various types of CRM projects, these are often the result of unrealistic high expectations and exaggerated claims by CRM vendors.
In contrast there are a growing number of successes. One example is the National Australia Bank (NAB) which has pursued a CRM strategy for over ten years and has won numerous awards for its efforts. [1] [2]
The data gathered as part of CRM must consider customer privacy and data security. Customers want the assurance that their data is not shared with third parties without their consent and not accessed illegally by third parties.
Customers also want their data used by companies to provide a benefit for them. For instance, an increase in unsolicited telemarketing calls is generally resented by customers while a small number of relevant offers is generally appreciated by customers.
★ Business intelligence
★ Customer Intelligence
★ Database marketing
★ Predictive analytics
★ Sales force management system
★ Customer service
★ Customer
★ Mystery shopping
1. http://www.itwire.com.au/content/view/3520/53/
2. http://www.ifslearning.com/events/financial_innovation_awards/fia_winners_2006.cfm
| Contents |
| Aspects |
| Operational |
| Collaborative |
| Analytical |
| Strategy |
| Technology considerations |
| Channels of communication |
| Successes |
| Privacy and data security |
| See also |
| References |
Aspects
There are three aspects of CRM which can each be implemented in isolation from each other:
★ Operational - automation or support of customer processes that include a company’s sales or service representative
★ Collaborative - direct communication with customers that does not include a company’s sales or service representative (''self service'')
★ Analytical - analysis of customer data for a broad range of purposes
META Group (acquired by Gartner in April 2005) developed this conceptual architecture in the late 1990s, and dubbed it the ''CRM Ecosystem''.
Operational
Operational CRM provides support to "front office" business processes, including sales, marketing and service. Each interaction with a customer is generally added to a customer's contact history, and staff can retrieve information on customers from the database as necessary.
One of the main benefits of this contact history is that customers can interact with different people or different contact ''channels'' in a company over time without having to repeat the history of their interaction each time.
Consequently, many call centers use some kind of CRM software to support their call center agents.
Collaborative
Collaborative CRM covers the direct interaction with customers, for a variety of different purposes, including feedback and issue-reporting. Interaction can be through a variety of channels, such as web pages, email, automated phone (Automated Voice Response AVR) or SMS.
The objectives of collaborative CRM can be broad, including cost reduction and service improvements.
Analytical
Analytical CRM analyzes customer data for a variety of purposes:
★ Design and execution of targeted marketing campaigns to optimise marketing effectiveness
★ Design and execution of specific customer campaigns, including customer acquisition, cross-selling, up-selling, retention
★ Analysis of customer behavior to aid product and service decision making (e.g. pricing, new product development etc.)
★ Management decisions, e.g. financial forecasting and customer profitability analysis
★ Prediction of the probability of customer defection (churn).
Analytical CRM generally makes heavy use of predictive analytics.
Strategy
Several commercial CRM software packages are available which vary in their approach to CRM. However, CRM is not just a technology, but rather a holistic approach to an organization's philosophy in dealing with its customers. This includes policies and processes, front-of-house customer service, employee training, marketing, systems and information management. Hence, it is important that any CRM implementation considers not only technology, but furthermore the broader organizational requirements.
The objectives of a CRM strategy must consider a company’s specific situation and its customers needs and expectations.
Technology considerations
The technology requirements of a CRM strategy can be complex and far reaching.
The basic building blocks:
★ A database to store customer information. This can be a CRM specific database or an enterprise data warehouse.
★ Operational CRM requires customer agent support software.
★ Collaborative CRM requires customer interaction systems, e.g. an interactive website, automated phone systems etc.
★ Analytical CRM requires statistical analysis software as well as software that manages any specific marketing campaigns.
Each of these can be implemented in a basic manner or in a high end complex installation.
Channels of communication
It is also important to mention here that a CRM system is capable of executing all the three sub modules via multiple communication Channels. These channels can be:
# Direct
# Online (Internet)
# Call Center (via Phone/FAX/Email etc)
All the three CRM Sub Modules (Marketing, Sales and Service) can be executed across these Communication channels. Based on these criteria, CRM offerings can be further sub divided into following:
| Communication Channel/ CRM Module | Direct | Internet | Call Center |
|---|---|---|---|
| Marketing | Online Marketing | Web Marketing | Tele Marketing |
| Sales | Web Shop | Tele Sales | |
| Service | Online Service | Customer Self Service Portal | Tele Service |
Successes
While there are numerous reports of "failed" implementations of various types of CRM projects, these are often the result of unrealistic high expectations and exaggerated claims by CRM vendors.
In contrast there are a growing number of successes. One example is the National Australia Bank (NAB) which has pursued a CRM strategy for over ten years and has won numerous awards for its efforts. [1] [2]
Privacy and data security
The data gathered as part of CRM must consider customer privacy and data security. Customers want the assurance that their data is not shared with third parties without their consent and not accessed illegally by third parties.
Customers also want their data used by companies to provide a benefit for them. For instance, an increase in unsolicited telemarketing calls is generally resented by customers while a small number of relevant offers is generally appreciated by customers.
See also
★ Business intelligence
★ Customer Intelligence
★ Database marketing
★ Predictive analytics
★ Sales force management system
★ Customer service
★ Customer
★ Mystery shopping
References
1. http://www.itwire.com.au/content/view/3520/53/
2. http://www.ifslearning.com/events/financial_innovation_awards/fia_winners_2006.cfm
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