Information about 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.

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 when 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 describe 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 comprehensive 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 considerations stretch beyond technology, towards 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.

Key functionalities

A typical CRM system is subdivided into three basic sub modules:
  1. Marketing
  2. Sales
  3. Service

Marketing

Marketing sub module primarily deals with providing functionalities of Long-term planning and Short-term execution of Marketing related Activities within an organization.

Planning

Long-term Market Plans can be made and Quantitative as well as Qualitative measures (targets) can be set for a defined period and for different product groups, geographies etc. These are then monitored based on the actual performance throughout the defined period.

Campaign management

Short-Term execution includes running Marketing campaigns via different communication channels targeting a predefined group of potential buyers with a specific message referring to a product or a group of products.

Lead management

One key objective of the Marketing function is to generate sales related leads, which finally get converted into Sales Revenues for the company. Marketing campaigns with the specific objective of generating leads (Prospective customers who may be interested in a product). Lead management deals with processing these Leads, carrying out a sanity check, evaluating the genuineness of the information (Since, there is a lot of information that is gathered during Marketing Campaigns it becomes necessary to screen these leads), and finally converting them to Hot Leads or Cold Leads.

Sales

Sales functionalities are focused on helping the Sales team to execute and manage the presales process better and in an organized manner. Sales team is responsible for regularly capturing key customer interactions, any leads or opportunities they are working on etc, in CRM system. The system helps by processing this data, monitoring against the targets and proactively alerting the sales person with recommended further actions based on company's sales policy.

Opportunity management

Opportunities help the sales team by organizing all the relevant data regarding a prospective deal into one place. It is characterized by the details such as Prospective customer, expected budget, total spending, products interested in, expected closing date, key players in the deal and their key characteristics, important dates and milestones, etc.

The opportunity has several phases, e.g. initiation, identification, qualification, RFP received, quotation sent, final stage, won or lost. Of course these phases can be defined based on individual company needs.

A CRM system helps in each phase by "guiding" the sales representative to carry out certain suggested activities as defined by the company's sales policy. It creates reminders and planned activities within the system. For example, if the opportunity has reached "RFP received" stage, and the deal size is more than, say, US$50,000, the system can prompt the representative to hold a review discussion with a senior manager. This is often referred as Guided Sales Methodology.

Opportunities can be directly converted into quotations or sales orders.

Quotation and sales order management

Opportunities, if they reach a quotation phase, can be converted to a quotation, and, if won gets converted to a Sales order. Standard features of creating a "linked" Quotation or sales order from opportunities are provided. These Sales orders then flow to the Back-End (ERP) system for further execution and Delivery.

Activity management

Activities represent various Sales or Service related interactions with the customer (meetings, discussions, telephone calls, emails). Activity management provides a platform to consolidate all the interactions with customer into a single platform, helping to build a 360 degree view of customer.

Activities can be synchronized to Microsoft Outlook/Lotus Notes Calendar items (Meetings and Tasks).

Service

Service related functionalities are focused on effectively managing the customer service (Planned or Unplanned), avoid "leakage" of Warranty based services, avoid "Penalties" arising due to Non conformity of SLA (Service Level Agreements), and provide first and Second Level support to Customers.

Several functionalities are:
  1. Service Order Management
  2. Service Contract Management
  3. Planned Services management
  4. Warranty Management
  5. Installed Base (Equipment) Management
  6. SLA Management
  7. Resource Planning and Scheduling
  8. Knowledge Management (FAQs, How to guides)
  9. Call Center Support
  10. Resource Planning and Workforce Management

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:
  1. Direct
  2. Online (Internet)
  3. 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
MarketingOnline MarketingWeb MarketingTele Marketing
SalesWeb ShopTele Sales
ServiceOnline ServiceCustomer Self Service PortalTele 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.

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.

Market structure

Given below is a list of top CRM software vendors in 2005 with figures in millions of United States Dollars published in a Gartner study.[1]
Vendor Global Revenue (US$)
SAP1,475
Siebel966
Oracle368
Salesforce.com281
Amdocs276
Others2,333
Total5,698

See also

References

A company is a form of business organization.

Types

There are various types of company that can be formed in different jurisdictions, but the most common forms of company are:
  • a company limited by shares.

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Self service is the practice of serving oneself, usually when purchasing items. Common examples include many gas stations, where the customer pumps their own gas rather than have an attendant do it (self-service gas pumping is illegal in New Jersey & Oregon); Automatic Teller
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In Business, front office refers to Sales and Marketing divisions of a company. It may also refer to other divisions in a company that involves interactions with customers.

In Information Technology, front office may refer to an integrated CRM software.
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Marketing is a social process which satisfies consumers' wants. The term includes advertising, distribution and selling of a product or service. It is also concerned with anticipating the customers' future needs and wants, often through market research.
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A call centre or call center (see spelling differences) is a centralised office used for the purpose of receiving and transmitting a large volume of requests by telephone.
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Marketing Effectiveness is the function of improving how marketers go to market with the goal of optimizing their marketing spend to achieve even better results for both the short-term and long-term. Also related to Marketing ROI and Return on Marketing Investment (ROMI).
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Cross-selling is the term used to describe the sale of additional products or services to a customer. Less frequently it is used to describe the sale of services to additional business units at an account or to different geographic units of a customer.
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Up-selling is a sales technique whereby a salesman attempts to have the consumer purchase more expensive items, upgrades, or other add-ons in an attempt to make a more profitable sale.
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Retention can have the following meanings:
  1. Instance retaining (e.g. water in the ground; see retention pond or retention basin)
  2. In learning: the ability to retain facts and figures in memory (spaced repetition)

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Predictive analytics encompasses a variety of techniques from statistics and data mining that process current and historical data in order to make “predictions” about future events.
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customer is someone who makes use of or receives the products or services of an individual or organization. The word historically derives from "custom," meaning "habit"; a customer was someone who frequented a particular shop, who made it a habit to purchase goods there, and with
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database is a structured collection of records or data that is stored in a computer system so that a computer program or person using a query language can consult it to answer queries. The records retrieved in answer to queries are information that can be used to make decisions.
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A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries
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Microsoft Outlook or Outlook (full name Microsoft Office Outlook since Outlook 2003) is a personal information manager from Microsoft, and is part of the Microsoft Office suite.
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Maintainer: IBM

OS: Cross-platform

Use: Collaborative software
License: Proprietary
Website: IBM Lotus Notes

Lotus Notes is a client-server, collaborative application owned by IBM Software Group.
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Consumer privacy laws and regulations seek to protect any individual from loss of privacy due to failures or limitations of corporate customer privacy measures. They recognize that the damage done by privacy loss is typically not measurable, nor can it be undone, and that
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Data security is the means of ensuring that data is kept safe from corruption and that access to it is suitably controlled. Thus data security helps to ensure privacy. It also helps in protecting personal data.
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Gartner, Inc.

Public
Founded 1979
Headquarters Stamford, Connecticut

Key people Gene Hall (Chairman and CEO)
Christopher J. Lafond (CFO).
Industry Research
Products Market research
Consumer research
Consulting
Events
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SAP AG

Aktiengesellschaft
(ISIN: DE0007164600 , FWB: SAP , NYSE:  SAP )
Founded Weinheim (1972)
Headquarters Walldorf, Germany

Key people Henning Kagermann, CEO
Hasso Plattner, Chairman of the Supervisory Board
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Oracle Corporation

Public (NASDAQ: ORCL )
Founded California, USA (1977)[1]
Headquarters Redwood Shores, California, USA

Key people Lawrence (Larry) J. Ellison, CEO
Jeffrey O. Henley, Chairman
Safra A.
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Oracle Corporation

Public (NASDAQ: ORCL )
Founded California, USA (1977)[1]
Headquarters Redwood Shores, California, USA

Key people Lawrence (Larry) J. Ellison, CEO
Jeffrey O. Henley, Chairman
Safra A.
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Salesforce.com

Public
Founded California 1999
Headquarters San Francisco, California

Key people Marc Benioff
Industry On-demand software
Revenue US$309.857 million (2005)
Operating income US$20.102 million (2005)
Net income US$29.
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Amdocs

Public (NYSE: DOX )
Founded Missouri (1982)[1]
Headquarters Chesterfield, Missouri

Key people Dov Baharav, CEO, President
Ron Moskovitz, CFO

Industry Software, Programming, Telecommunications, CRM
Products Amdocs 7
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weasel words.
* It does not cite any references or sources. Please help improve this article by citing reliable sources.
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Please help [ improve the article] or discuss these issues on the talk page.
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customer is someone who makes use of or receives the products or services of an individual or organization. The word historically derives from "custom," meaning "habit"; a customer was someone who frequented a particular shop, who made it a habit to purchase goods there, and with
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Please help [ rewrite this article] from a neutral point of view.
Mark blatant advertising for , using .

Customer Intelligence
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Customer service (also known as Client Service) is the provision of service to customers before, during and after a purchase.

According to Turban et al, 2002 “Customer service is a series of activities designed to enhance the level of customer satisfaction
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Database marketing is a form of direct marketing using databases of customers or potential customers to generate personalized communications in order to promote a product or service for marketing purposes.
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Mystery shopping is a tool used by market research companies to measure quality of retail service. These companies send mystery shoppers to 'act' as shoppers in return for some combination of cash, store credit, purchase discounts, or reimbursement for the goods or services
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Predictive analytics encompasses a variety of techniques from statistics and data mining that process current and historical data in order to make “predictions” about future events.
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