Abstract: A method and system for providing account recommendations is disclosed. A server system stores sales data for a first member, wherein sales data includes profile information for one or more individual customers. The server system analyzes the profile information for one or more of the individual customers to identify one attributes associated with the customers. The server system determines one or more additional members with member profiles that include the one or more identified attributes. For a respective additional member in the at least one of the determined additional members the server system determines, based on stored information about the respective additional member, an respective organization associated with the at least one determined additional member; and selects the respective organization as an account recommendation.

Abstract: A method and system for providing lead recommendations are disclosed. A server system stores profile information for a plurality of members of a server system. The server system then analyzes the stored profile information to identify one or more potential sales lead recommendations for a first member of the server system. The server system then ranks the one or more identified potential sales lead recommendations. The server system selects one or more of the identified sales lead recommendations and transmits the selected one or more identified sales lead recommendations to a client device associated with the first member of the server system.

Abstract: A method and system for providing account recommendations is disclosed. A server system stores sales data for a first member, wherein sales data includes profile information for one or more individual customers. The server system analyzes the profile information for one or more of the individual customers to identify one attributes associated with the customers. The server system determines one or more additional members with member profiles that include the one or more identified attributes. For a respective additional member in the at least one of the determined additional members the server system determines, based on stored information about the respective additional member, an respective organization associated with the at least one determined additional member; and selects the respective organization as an account recommendation.

Abstract: A method and system for providing lead recommendations are disclosed. A server system stores profile information for a plurality of members of a server system. The server system then analyzes the stored profile information to identify one or more potential sales lead recommendations for a first member of the server system. The server system then ranks the one or more identified potential sales lead recommendations. The server system selects one or more of the identified sales lead recommendations and transmits the selected one or more identified sales lead recommendations to a client device associated with the first member of the server system.

Abstract: A method and system for providing account recommendations is disclosed. A server system stores sales data for a first member, wherein sales data includes profile information for one or more individual customers. The sewer system analyzes the profile information for one or more of the individual customers to identify one attributes associated with the customers. The server system determines one or more additional members with member profiles that include the one or more identified attributes. For a respective additional member in the at least one of the determined additional members the server system determines, based on stored information about the respective additional member, an respective organization associated with the at least one determined additional member; and selects the respective organization as an account recommendation.

Abstract: A method and system for providing lead recommendations are disclosed. A server system stores profile information for a plurality of members of a server system. The server system then analyzes the stored profile information to identify one or more potential sales lead recommendations for a first member of the server system. The server system then ranks the one or more identified potential sales lead recommendations. The server system selects one or more of the identified sales lead recommendations and transmits the selected one or more identified sales lead recommendations to a client device associated with the first member of the server system.

Abstract: A daily connection facility is available to the user either through a webpage or by e-mail in the form of a synopsis of connection identifiers between the user and their contacts. The web-based version presents connection information in the form of an agenda view, an engage view, and a reminder view. Each view type is selectable by corresponding tab on the webpage. The daily connected e-mail presents an agenda of meetings and events by location, title, and time. The daily connected e-mail also presents interesting profile and connection information about the attendees such as their communications in blogs and postings, recent communications with user, including messages and meetings, as well as contact information and a list of other contacts in common.

Abstract: An online address book is configured to include a multi-user input bar to receive search terms intended to match contacts existing in a user's contact list. If a search term does not match any entry in the current contact list the search is extended by the multi-user input bar to include further candidate contacts. Candidate contacts are acquired through social profiles available from a set of networking sites linked-to over the Internet. A candidate contact that does match the search term is added to the contact list with a public profile whose contents are populated with contact data acquired from social profiles available through the networking sites. This practice of profile bookmarking may be applied iteratively across candidate contacts from various networking sites to build an extensive public profile.

Abstract: A daily connection facility is available to the user either through a webpage or by e-mail in the form of a synopsis of connection identifiers between the user and their contacts. The web-based version presents connection information in the form of an agenda view, an engage view, and a reminder view. Each view type is selectable by corresponding tab on the webpage. The daily connected e-mail presents an agenda of meetings and events by location, title, and time. The daily connected e-mail also presents interesting profile and connection information about the attendees such as their communications in blogs and postings, recent communications with user, including messages and meetings, as well as contact information and a list of other contacts in common.

Abstract: System and method for recommending to a member of a social network an interaction with ones of a plurality of entities. Events related to individual ones of the plurality of entities are obtained. A relevance of ones of the events to the member is determined based on at least one characteristic of ones of the events and a trait of the member. Recommended interactions with ones of the plurality of entities individually related to the ones of the events based on the relevance for each of the events are presented to the user.

Abstract: A system, computer-readable storage medium, and computer-implemented method for automatic discovery of how and when people met is provided. In some embodiments, the system obtains a plurality of signals comprising data associated with a user and comprising an electronic communication history between the user and a contact maintained by a contact management system. The system may identify a third party that introduced the user to the contact based on the plurality of signals. The system further determines a suggested entry for the data field of the contact management system is determined. The suggested entry includes a description of how the user initially met the contact and the description includes an identifier of the third party. The suggested entry of how a user met a contact is automatically displayed to a user by the system.

Abstract: A system, computer-readable storage medium, and computer-implemented method for automatic discovery of how and when people met is provided. A plurality of signals are analyzed to determine a level of significance of each of the plurality of signals in providing a suggested entry into a data field of a contact management system designated to provide a description of how a user met a contact. In response to at least one signal of the plurality of signals exceeding a threshold level of significance, a suggested entry for the data field of the contact management system is determined. The suggested entry of how a user met a contact is automatically displayed to a user.

Abstract: A system and method for automatically targeting online users are provided. A user performs an action that exhibits an interest in a product/service or performing a certain action, such as making a charitable contribution. A user record is created in a user management system, such as a customer relationship management database. The user record is augmented with additional data, such as data from a user profile, of the user, in a social network. Examples of such data include employer information, friend information, academic history, and job title. The augmented user record is provided to a targeted content system that assigns the user to a nurture flow that includes multiple segments, each segment associated with actions to perform relative to the user, such as sending certain content to the user through one or more delivery channels.

Abstract: A method and system are shown for identifying the most influential members of a social network. The social networking system receives a request to rank a plurality of members of a social networking system based on the influence held by each of the plurality of members. For a respective member in the plurality of members of the social networking system, the social networking system analyzes member interactions of the respective member on the social networking system and generates an influencer score for the respective member based on the analysis of member interactions through the social networking system. The social networking system orders two or more members in the plurality of members of the social networking system based on the influencer scores associated with the two or more members.

Abstract: In an example embodiment, information about one or more Customer Relationship Management (CRM) entities is received from a CRM system, the information including an identification of each of the one or more CRM entities and usage information about how a user interacted with each of the one or more CRM entities. Then, at a software tool distinct from the CRM system, one or more actionable insights related to the one or more CRM entities are identified. The relevance of the one or more actionable insights to the user is then determined based on the usage information. One or more of the one or more actionable insights are then presented to the user based on the determined relevance via the software tool.

Abstract: In an example embodiment, a request to onboard a first user to a sales tool is received. Then usage information related to the first user is retrieved from a social networking service. One or more entities may then be generated in the sales tool based on the usage information from the social networking service. A score can be calculated for each of the one or more entities, the score indicating a likelihood that the first user will wish to receive insights regarding the one or more entities from the sales tool. Then the one or more entities are ranked based on the calculated score for each of the one or more entities. The one or more entities can be added as entries in the sales tool based on the ranking.

Abstract: A method and system for providing account recommendations is disclosed. A server system stores sales data for a first member, wherein sales data includes profile information for one or more individual customers. The sewer system analyzes the profile information for one or more of the individual customers to identify one attributes associated with the customers. The server system determines one or more additional members with member profiles that include the one or more identified attributes. For a respective additional member in the at least one of the determined additional members the sewer system determines, based on stored information about the respective additional member, an respective organization associated with the at least one determined additional member; and selects the respective organization as an account recommendation.