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  2. Customer service representative - Wikipedia

    en.wikipedia.org/wiki/Customer_service...

    Customer service representatives, customer service advisors, customer service agents, or customer service associates are employees who interact with customers to handle and resolve complaints, process orders, and provide information about an organization’s products and services. They may work in an office with a call center or in retail.

  3. Customer service - Wikipedia

    en.wikipedia.org/wiki/Customer_service

    Customer support. Customer support is a range of consumer services to assist customers in making cost-effective and correct use of a product. [9] It includes assistance in planning, installation, training, troubleshooting, maintenance, upgrading, and disposal of a product. [9] These services may even be provided at the place in which the ...

  4. Consumer complaint - Wikipedia

    en.wikipedia.org/wiki/Consumer_complaint

    A consumer complaint or customer complaint is "an expression of dissatisfaction on a consumer's behalf to a responsible party" (London, 1980). It can also be described in a positive sense as a report from a consumer providing documentation about a problem with a product or service. [2]

  5. Contact AOL customer support - AOL Help

    help.aol.com/articles/account-management...

    In addition to the support options listed above, paid members also have access to 24/7 phone support by calling 1-800-827-6364. Learn about the support options AOL offers and how to access help for your question or issue.

  6. Get Support-AOL Help

    help.aol.com/contact

    Give Us Call. For Verizon Support. 1-800-VERIZON. Español del cliente y ayuda técnica: 1-866-885-5117. AOL TTY service for the deaf or hard-of-hearing: 1-800-759-3323 (Must have TTY-enabled equipment) Contact AOL Page details: Hours of Operations: Billing/Account Support, Mon-Fri: 8am-1am EST; Technical Support, 24 x 7.

  7. Customer satisfaction - Wikipedia

    en.wikipedia.org/wiki/Customer_satisfaction

    Recently there has been a growing interest in predicting customer satisfaction using big data and machine learning methods (with behavioral and demographic features as predictors) to take targeted preventive actions aimed at avoiding churn, complaints and dissatisfaction.[36] Customer satisfaction research; Customer service; Customer Loyalty

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