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  2. Customer relationship management - Wikipedia

    en.wikipedia.org/wiki/Customer_relationship...

    CRM systems that track and measure marketing campaigns over multiple networks, tracking customer analysis by customer clicks and sales. Some CRM software is available as a software as a service (SaaS), delivered via the internet and accessed via a web browser instead of being installed on a local computer. Businesses using the software do not ...

  3. Customer retention - Wikipedia

    en.wikipedia.org/wiki/Customer_retention

    Customer retention is an outcome that is the result of several different antecedents as described below. Customer satisfaction: Research shows that customer satisfaction is a direct driver of customer retention in a wide variety of industries. Despite the claims made by some one-off studies, the bulk of the evidence is unambiguously clear ...

  4. eCRM - Wikipedia

    en.wikipedia.org/wiki/ECRM

    ECRM is being adopted by companies because it increases customer loyalty and customer retention by improving customer satisfaction, one of the objectives of eCRM. E-loyalty results in long-term profits for online retailers because they incur less costs of recruiting new customers, plus they have an increase in customer retention. [10]

  5. Customer data management - Wikipedia

    en.wikipedia.org/wiki/Customer_data_management

    Customer data management (CDM) is the ways in which businesses keep track of their customer information and survey their customer base in order to obtain feedback. CDM includes a range of software or cloud computing applications designed to give large organizations rapid and efficient access to customer data .

  6. Category:Customer relationship management - Wikipedia

    en.wikipedia.org/wiki/Category:Customer...

    Conversion tracking; Customer data; Customer data management; ... Customer retention; Retention rate; Return on marketing investment; S. Sales force management system;

  7. Customer lifetime value - Wikipedia

    en.wikipedia.org/wiki/Customer_lifetime_value

    Forecasting accuracy and difficulty in tracking customers over time may affect CLV calculation process. Retention models make several simplifying assumptions and often involve the following inputs: Churn rate, the percentage of customers who end their relationship with a company in a given period. Churn rate + retention rate = 100%. Most models ...

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