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  2. Salesforce Marketing Cloud - Wikipedia

    en.wikipedia.org/wiki/Salesforce_Marketing_Cloud

    Salesforce Marketing Cloud is a provider of digital marketing automation and analytics software and services. It was founded in 2000 under the name ExactTarget . The company filed for an IPO in 2007, but withdrew its filing two years later and raised $145 million in funding.

  3. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    Dashboards offers a holistic view of the entire business as it gives the manager a bird's eye view into the performance of sales, data inventory, web traffic, social media analytics and other associated data that is visually presented on a single dashboard. Dashboards lead to better management of marketing/financial strategies as a dashboard ...

  4. Customer relationship management - Wikipedia

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

    The dashboard may provide client information, past sales, previous marketing efforts, and more, summarizing all of the relationships between the customer and the firm. Operational CRM is made up of three main components: sales force automation, marketing automation, and service automation.

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  7. 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.

  8. Salesforce - Wikipedia

    en.wikipedia.org/wiki/Salesforce

    Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California.It provides applications focused on sales, customer service, marketing automation, e-commerce, analytics, artificial intelligence, and application development.

  9. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Traffic analysis of Wikipedia. Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2]