Leveraging IoT in Recruitment: A Case Study on NTIATIVE's Growth with Connected Recruiting Automations
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NTIATIVE, an IT recruitment agency based in Kraków, Poland, experienced rapid internal growth, expanding from a team of eight to 40 people since 2020. This growth, while exciting, brought about several challenges. With a global talent shortage and an impending recession, NTIATIVE needed a way to meet their clients' needs with their services and technology. They sought a solution that would allow them to engage talent at every stage of the talent lifecycle: attract, engage, onboard, and nurture. The goal was to create an ever-growing and consistently engaged talent pool, lower their cost of talent acquisition, and ensure an incredible experience for their talent.
NTIATIVE is an IT recruitment agency based in Kraków, Poland. They specialize in mid-level to senior IT positions in the infrastructure, software development, and data science industries. The company has seen significant internal growth since 2020, expanding from a team of eight to 40 people. Despite the challenges brought about by this rapid growth, NTIATIVE has remained committed to providing high-quality services to its clients, leveraging technology and automation to meet their needs.
To address these challenges, NTIATIVE partnered with Bullhorn Automation about a year and a half ago. They implemented automations to impact each phase of Bullhorn’s Connected Recruiting lifecycle. In the 'Attract' phase, NTIATIVE used various channels to attract candidates, including social media and job boards. They also ran a successful automation campaign on Facebook to understand the size of their talent pool on social channels. In the 'Engage' phase, they focused on engaging candidates through a GDPR campaign, ensuring they had permission to contact their candidates with marketing emails. In the 'Onboard' phase, they manually ensured candidates had the correct onboarding documents, with plans to automate this process in the future. Finally, in the 'Nurture' phase, they planned to launch an automated referral campaign targeting candidates who were in the final interviews for roles but were not ultimately chosen.