Enhanced personalization and targeted outreach efforts
LinkedIn has unveiled two new tools enhanced by AI capabilities, aiming to empower talent acquisition professionals in their search for suitable job candidates and strategic outreach efforts, according to the company’s recent announcement.
The first tool, incorporated into LinkedIn Recruiter, is the Likelihood of Interest feature. This innovative tool employs AI algorithms to pinpoint potential candidates who are more inclined to engage with recruitment specialists regarding available positions. Additionally, the AI-Assisted Messages tool leverages generative AI technology to craft personalized InMail messages directed at candidates.
LinkedIn’s Talent Blog recently featured an entry by Bruce Anderson, a content marketer and editor, who noted that a significant 74% of hiring professionals anticipate that integrating generative AI into their recruitment processes will streamline repetitive tasks, enabling them to dedicate more time to higher-value strategic endeavors. These expectations are gradually coming to fruition, Anderson observed.
Emphasizing the importance of personalization in LinkedIn recruitment, Anderson highlighted that while effective, tailoring messages requires dedication and time. Recruiters adopting personalized InMail messages have observed a notable 40% surge in acceptance rates.
Through the AI-Assisted Messages tool, recruiters have the capability to compose distinct messages by drawing from a candidate’s profile details, encompassing skills, experience, and their Open to Work status. This information is then merged with pertinent company details and information about the open role, such as job title, responsibilities, location, and salary. Customization options are available, enabling recruiters to fine-tune the AI model’s selection of fields and even edit the message content directly.
The second tool, the Likelihood of Interest feature, equips hiring professionals with the ability to identify candidates who are highly or moderately likely to display interest in an available position. This indication is prominently displayed on a candidate’s profile card within the LinkedIn Recruiter platform. The AI-driven tool assimilates and interprets various LinkedIn data points, such as Open to Work status, acceptance of InMail messages, affiliations with companies that have undergone recent layoffs, and demonstrated interest in the hiring company.
Once suitable candidates are identified, recruiters can promptly send them customized messages, streamlining the outreach process and enabling recruiters to allocate more time to cultivating robust candidate relationships, as highlighted by Anderson.
In the current landscape, generative AI programs are gaining traction within the realm of human resources. Prominent industry players like Microsoft, IBM, and Google Cloud have introduced tools that facilitate HR-related tasks like formulating job postings, identifying potential candidates, and managing employee inquiries. Despite this technological progress, the significance of personalization in the recruitment process remains paramount, particularly in the pursuit of recruiting success.
