ENGAGE Talent's latest reports show the progress that their recruiting AI tech has made on "passive candidate experiences".
Clients report achieving the following benefits from using software from ENGAGE, an AI recruiting company that enables recruiters to strategically source, target and engage with passive candidates:
ENGAGE's AI examines passive candidates' "whole body of work," and considering all the circumstances, environments they have worked in, and work decisions they and their peers have made, recognizes patterns to assess what will attract the candidate to future roles. Based on the particulars of the business shocks and personal job dynamics affecting each passive candidate, ENGAGE pinpoints personalized messaging tips that are likely to resonate with candidates to maximize response rates, and alerts recruiters when the timing is optimal for outreach.
"The new data show that our AI-enabled candidate messaging works--in a way that has a transformative impact on the candidate experience and on recruiting results," ENGAGE Talent CEO Joseph Hanna said. "The first touch is by far the most important part of the candidate experience, so it's critical for employers to get it right. It determines whether there will be a second touch and sets the tone for how the candidate views the employer."
While the unemployment rate is near record lows, 87 percent of active and passive candidates are open to new job opportunities, with passive candidates making up 70 percent of the workforce, according to a LinkedIn Talent Solutions report. In the fierce competition for passive talent, strategic personalized outreach that resonates with qualified professionals amounts to a significant competitive advantage.
"The talent employers need is out there. The key is to get people interested in and intrigued about your job opportunities and your particular organization," Hanna said. "Using market and artificial intelligence, ENGAGE helps you find the right candidates and successfully engage with them--from the start."
Edited by K. Fanning
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