Contact prioritization and assignment using a social network

A system of prioritization,

• comprising:
• at least one computer processor and
• storage configured to:
• rank prospective customers of a business by use of a social network, the rank based on an estimate of the amount of funds that individual ones of prospective customers of the business could spend on a given matter in a given period of time, the estimate based on the analysis of the social network profile data of employees of the prospective customer, which employees are members of the social network, to determine one of people updates, company updates, product purchases, or product usage;
• display on a first user interface a ranked list of prospective customers of the business, based on the ranking;
• identify employees of the ranked prospective customers who are likely to be transaction influencers at the prospective customer, the identification performed by analysis of social network profile data of the employees of the ranked prospective customers or the social graphs of the employees of the ranked prospective customers;
• display, on one of the first user interface or a second user interface, a list of the identified transaction influencers at the prospective customers;
• for individual persons at the business, compute respective social proximity scores based on social proximity of the individual persons at the business to the identified transaction influencers of the ranked prospective customers, the social proximity determined by analysis of social network profile data of the individual persons at the business and the social network profile data of the identified influencers to determine;
• connections of the individual persons and the identified influencers with each other;
• or
• connections the individual persons and the identified influencers have in common with another member of the social network
• rank the individual persons at the business with respect to the identified transaction influencers of the ranked prospective customers based on the respective social proximity scores;
• display at one of the first user interface, the second user interface, or a third user interface, a list of ranked individual persons at the business by social proximity to the displayed identified transaction influencers;
• and
• assign the ranked individual persons at the business as representatives of the business for respective, identified transaction influencers of respective ranked prospective customers based on the rank of the individual persons with respect to the identified transaction influencers, by a feed of the identity of the ranked individual persons at the business and of the identified transaction influencers into customer relations software to make the assignment.

A machine-readable hardware storage device having embedded therein a set of instructions which, when executed by a machine, causes execution of operations comprising:

• ranking, by at least one computer processor, prospective customers of a business by analysis of social network profile data of employees of prospective customers of the business, which employees are members of the social network, the ranking based on an estimate of the amount of funds that individual ones of the prospective customers could spend on a given matter in a given period of time, the estimate based on the analysis of the social network profile data of the employees of the prospective customers to determine one of people updates, company updates, product purchases, or product usage;
• displaying on a first user interface a ranked list of prospective customers of the business, based on the ranking;
• identifying employees of the ranked prospective customers who are likely to be transaction influencers at the prospective customers, the identifying based on analysis of social network profile data of the employees of the ranked prospective customers or social graphs of the employees of the ranked prospective customers;
• displaying, on one of the first user interface or a second user interface, a list of the identified transaction influencers at the prospective customers;
• for individual persons at the business, computing respective social proximity scores based on social proximity of the individual persons at the business to the identified transaction influencers of the ranked prospective customers, the social proximity determined by analysis of social network profile data of the individual persons at the business and the social network profile data of the identified influencers to determine
• connections of the individual persons and the identified influencers with each other, or
• connections the individual persons and the identified influencers have in common with another member of the social network;
• ranking the individual persons at the business with respect to the identified transaction influencers of the ranked prospective customers based on the respective social proximity scores;
• displaying at one of the first user interface, the second user interface, or a third user interface, a list of ranked individual persons at the business by social proximity to the displayed identified transaction influencers;
• and
• assigning the ranked individual persons at the business as representatives of the business for respective, identified transaction influencers of respective ranked prospective customers based on the ranking of the individual persons with respect to the identified transaction influencers, by feeding the identity of the ranked individual persons at the business and of the identified transaction influencers into customer relations software to make the assignment.