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  2. Digital marketing - Wikipedia

    en.wikipedia.org/wiki/Digital_marketing

    Advertising revenue as a percent of US GDP shows a rise in digital advertising since 1995 at the expense of print media. [1]Digital marketing is the component of marketing that uses the Internet and online-based digital technologies such as desktop computers, mobile phones, and other digital media and platforms to promote products and services.

  3. Lead generation - Wikipedia

    en.wikipedia.org/wiki/Lead_generation

    In marketing, lead generation (/ ˈ l iː d /) is the process of creating consumer interest or inquiry into the products or services of a business. A lead is the contact information and, in some cases, demographic information of a customer who is interested in a specific product or service.

  4. Marketing - Wikipedia

    en.wikipedia.org/wiki/Marketing

    Customer to customer marketing or C2C marketing represents a market environment where one customer purchases goods from another customer using a third-party business or platform to facilitate the transaction. C2C companies are a new type of model that has emerged with e-commerce technology and the sharing economy.

  5. Customer value maximization - Wikipedia

    en.wikipedia.org/wiki/Customer_value_maximization

    Customer value maximization (CVM) is a real-time service model that, proponents say, goes beyond basic customer relationship management (CRM) capabilities, identifying and capturing maximum potential from prospective and existing customers. [1] Customer value maximization is about: 1. Understanding Customer Needs

  6. Customer knowledge - Wikipedia

    en.wikipedia.org/wiki/Customer_knowledge

    Collecting this knowledge is the responsibility of campaign management. It should be refined according to the customer requirements. It is then disseminated to the other customer relationship management (CRM) processes, mainly: contract management, offer management, and service management.

  7. Uplift modelling - Wikipedia

    en.wikipedia.org/wiki/Uplift_modelling

    Uplift modelling has applications in customer relationship management for up-sell, cross-sell and retention modelling. It has also been applied to political election and personalised medicine. Unlike the related Differential Prediction concept in psychology, Uplift Modelling assumes an active agent.

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