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- Customer_attrition abstract "Customer attrition, also known as customer churn, customer turnover, or customer defection, is the loss of clients or customers.Banks, telephone service companies, Internet service providers, pay TV companies, insurance firms, and alarm monitoring services, often use customer attrition analysis and customer attrition rates as one of their key business metrics (along with cash flow, EBITDA, etc.) because the cost of retaining an existing customer is far less than acquiring a new one. Companies from these sectors often have customer service branches which attempt to win back defecting clients, because recovered long-term customers can be worth much more to a company than newly recruited clients.Companies usually make a distinction between voluntary churn and involuntary churn. Voluntary churn occurs due to a decision by the customer to switch to another company or service provider, involuntary churn occurs due to circumstances such as a customer's relocation to a long-term care facility, death, or the relocation to a distant location. In most applications, involuntary reasons for churn are excluded from the analytical models. Analysts tend to concentrate on voluntary churn, because it typically occurs due to factors of the company-customer relationship which companies control, such as how billing interactions are handled or how after-sales help is provided.When companies are measuring their customer turnover, they typically make the distinction between gross attrition and net attrition. Gross attrition is the loss of existing customers and their associated recurring revenue for contracted goods or services during a particular period. Net attrition is gross attrition plus the addition or recruitment of similar customers at the original location. Financial institutions often track and measure attrition using a weighted calculation called Recurring Monthly Revenue (or RMR). In the 2000s, there are also a number of business intelligence software programs which can mine databases of customer information and analyze the factors that are associated with customer attrition, such as dissatisfaction with service or technical support, billing disputes, or a disagreement over company policies. More sophisticated predictive analytics software use churn prediction models that predict customer churn by assessing their propensity of risk to churn. Since these models generate a small prioritized list of potential defectors, they are effective at focusing customer retention marketing programs on the subset of the customer base who are most vulnerable to churn.".
- Customer_attrition wikiPageExternalLink 03_2F178.htm.
- Customer_attrition wikiPageExternalLink 05_2F292.htm.
- Customer_attrition wikiPageExternalLink 05_2F348.htm.
- Customer_attrition wikiPageID "7744414".
- Customer_attrition wikiPageLength "11941".
- Customer_attrition wikiPageOutDegree "29".
- Customer_attrition wikiPageRevisionID "668675885".
- Customer_attrition wikiPageWikiLink Bank.
- Customer_attrition wikiPageWikiLink Business.
- Customer_attrition wikiPageWikiLink Business_intelligence.
- Customer_attrition wikiPageWikiLink Business_model.
- Customer_attrition wikiPageWikiLink Cash_flow.
- Customer_attrition wikiPageWikiLink Category:Business_intelligence.
- Customer_attrition wikiPageWikiLink Category:Business_terms.
- Customer_attrition wikiPageWikiLink Churn_rate.
- Customer_attrition wikiPageWikiLink Customer_relationship_management.
- Customer_attrition wikiPageWikiLink Customer_retention.
- Customer_attrition wikiPageWikiLink Customer_service.
- Customer_attrition wikiPageWikiLink Data_mining.
- Customer_attrition wikiPageWikiLink Demography.
- Customer_attrition wikiPageWikiLink EBITDA.
- Customer_attrition wikiPageWikiLink Earnings_before_interest,_taxes,_depreciation,_and_amortization.
- Customer_attrition wikiPageWikiLink Financial_services.
- Customer_attrition wikiPageWikiLink Insurance.
- Customer_attrition wikiPageWikiLink Internet_service_provider.
- Customer_attrition wikiPageWikiLink Internet_service_providers.
- Customer_attrition wikiPageWikiLink Marketing.
- Customer_attrition wikiPageWikiLink Metric_(mathematics).
- Customer_attrition wikiPageWikiLink Online_banking.
- Customer_attrition wikiPageWikiLink Pay_TV.
- Customer_attrition wikiPageWikiLink Pay_television.
- Customer_attrition wikiPageWikiLink Predictive_analytics.
- Customer_attrition wikiPageWikiLink Retail.
- Customer_attrition wikiPageWikiLink Telecommunication.
- Customer_attrition wikiPageWikiLink Telecommunications.
- Customer_attrition wikiPageWikiLink The_International_Customer_Service_Institute.
- Customer_attrition wikiPageWikiLinkText "Customer attrition".
- Customer_attrition wikiPageWikiLinkText "attrition".
- Customer_attrition wikiPageWikiLinkText "churn analysis".
- Customer_attrition wikiPageWikiLinkText "churn".
- Customer_attrition wikiPageWikiLinkText "customer attrition".
- Customer_attrition hasPhotoCollection Customer_attrition.
- Customer_attrition subject Category:Business_intelligence.
- Customer_attrition subject Category:Business_terms.
- Customer_attrition hypernym Loss.
- Customer_attrition type Article.
- Customer_attrition type Disease.
- Customer_attrition type Article.
- Customer_attrition type Term.
- Customer_attrition comment "Customer attrition, also known as customer churn, customer turnover, or customer defection, is the loss of clients or customers.Banks, telephone service companies, Internet service providers, pay TV companies, insurance firms, and alarm monitoring services, often use customer attrition analysis and customer attrition rates as one of their key business metrics (along with cash flow, EBITDA, etc.) because the cost of retaining an existing customer is far less than acquiring a new one.".
- Customer_attrition label "Customer attrition".
- Customer_attrition sameAs m.026bn1c.
- Customer_attrition sameAs Q5196445.
- Customer_attrition sameAs Q5196445.
- Customer_attrition wasDerivedFrom Customer_attrition?oldid=668675885.
- Customer_attrition isPrimaryTopicOf Customer_attrition.