Many technology offerings mine job boards and resume banks searching for candidates who are actively seeking employment. After identifying these potential employees, recruiters must then compete for those candidates. PeopleFilter Sourcing Accelerator provides an efficient and automated way for organizations to attract the best potential employees who are not currently searching for a new career.

PeopleFilter Sourcing Accelerator offers employers an opportunity to use non-traditional recruiting sites to reach candidates in the places where they spend their free time online. When companies enhance their ability to attract passive job seekers, not just candidates pounding the pavement looking for a job, they double or triple their recruiting base, which guarantees an improved candidate pool, saving companies time and money during the recruitment process and increasing employee retention.

Sourcing Accelerator provides organizations with the ability to attract the talent that other recruiting technologies overlook because recruitment advertisements can be located anywhere, including sites such as Yahoo! and CNN.com or on niche, special interest sites. When a potential candidate views an advertisement, they are presented with general information about the organization and the career opportunity. At that juncture, candidates have two options: they can apply for the job or simply express interest in learning more about the opportunity by completing a brief customizable questionnaire.

The information collected can then be used to send targeted electronic communications, via PeopleFilter's sophisticated Candidate Relationship Module, to invite the potential candidate to take additional steps such as attending an open house or submitting a formal application. To ensure consistency, the graphic images contained within the advertisement that originally attracted the candidate are maintained throughout the candidate's experience in the recruitment process.

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  7/10/2008 - Talent Technology Corporation Announces Acquisition of PeopleFilter Technology.

 
   

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