Other than Search Engine Marketing, one of the types of marketing we enjoy most is Database Marketing, a form of direct marketing using databases of potential customers to generate personalized communications in order to promote a product or service for marketing. The method of communication can be any addressable medium, as in direct marketing.

The distinction between direct and database marketing stems primarily from the attention paid to the analysis of data. Database marketing emphasizes the use of statistical techniques to develop models of customer behavior, which are then used to select customers for communications. As a consequence, database marketers also tend to be heavy users of data warehouses, because having a greater amount of data about customers increases the likelihood that a more accurate model can be built.

Database Marketing leverages 1st party and 3rd party customer profile databases to generate personalized communications to promote a product or service.  Database marketing emphasizes the use of statistical techniques to develop models of customer behavior, which are then used to select customers for communications. As a consequence, database marketers also tend to be heavy users of data warehouses, because having a greater amount of data about customers increases the likelihood that a more accurate model can be built.

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Other than Search Engine Marketing, one of the types of marketing we enjoy most is Database Marketing, a form of direct marketing using databases of potential customers to generate personalized communications in order to promote a product or service for marketing. The method of communication can be any addressable medium, as in direct marketing.

The distinction between direct and database marketing stems primarily from the attention paid to the analysis of data. Database marketing emphasizes the use of statistical techniques to develop models of customer behavior, which are then used to select customers for communications. As a consequence, database marketers also tend to be heavy users of data warehouses, because having a greater amount of data about customers increases the likelihood that a more accurate model can be built.