Abstract: A machine may be configured to personalize the content presented to a member of the social networking service visiting a web site. For example, the machine accesses a member identifier associated with a visitor to a web site. The member identifier identifies a particular member of a social networking service. The machine accesses member data associated with the member identifier in a database associated with the social networking service. The machine identifies one or more attributes associated with the particular member based on the member data. The machine selects an item of content for presentation to the particular member visiting the web site based on the one or more attributes associated with the particular member. The machine causes presentation of the item of content in a user interface of a widget included in the web site.

Abstract: A machine may be configured to personalize the content presented to a member of the social networking service visiting a web site. For example, the machine accesses a member identifier associated with a visitor to a web site. The member identifier identifies a particular member of a social networking service. The machine accesses member data associated with the member identifier in a database associated with the social networking service. The machine identifies one or more attributes associated with the particular member based on the member data. The machine selects an item of content for presentation to the particular member visiting the web site based on the one or more attributes associated with the particular member. The machine causes presentation of the item of content in a user interface of a widget included in the web site.

Abstract: A machine may be configured to accelerate the engagement of a user in a buying cycle. For example, the machine determines a level of engagement of particular member of a social networking service (SNS) with a seller entity that offers a product or service for sale. The machine selects an item of digital content that is determined to have a high likelihood of increasing the level of engagement of the particular member. The machine identifies an optimal communication channel for presenting the item of digital content to the particular member. The machine determines an optimal time to present the item of digital content to the particular member. The machine causes a display of a particular device associated with the particular member to present the item of digital content in a user interface of the particular device via the optimal communication channel at the optimal time.

Abstract: Techniques for measuring the value of marketing contributions to deals are discussed. An account interest score of an account for a product or service is generated at a time of sale of the product or service to the account. The generating may be based on the individual interest scores of the members of the account for the product or service. The individual interest scores may be calculated based on marketing output that pertains to the product or service and is received by the members of the account before the sale. A determination is made that the account interest score exceeds a marketing contribution threshold value. Based on the determination that the account interest score exceeds the marketing contribution threshold value, a credit for the sale is assigned to a marketing organization that created the marketing output received by the members of the account before the sale.

Abstract: Techniques for determining the likelihood of a sales lead to purchase a product or service based on an interest score of a company account generated using individual interest scores of the members of the company account are described. For example, a first individual interest score of a first user for a product or service and a second individual interest score of a second user for the product or service are received. Using account data that identifies members of a company account, a determination is made that the first user and the second user are members of the same company account. An account interest score of the company account for the product or service is generated, using at least one computer processor, based on combining the first individual interest score and the second individual interest score.