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Recruitment Analytics 101

The ultimate guide to transitioning into a data-driven recruitment process. Understand the benefits of recruitment analytics, learn about the key metrics to track and how to leverage data into a smooth and optimized recruitment process that yields productive and motivated hires.

Everything you need to know about Recruitment Analytics

Recruitment analytics is what takes successful organizations to the next level in their hiring efforts. Collecting, measuring and analyzing relevant data throughout the entire recruitment process allows for continuous improvement and increased hiring efficiency.


Collect data directly from your candidates to understand your hiring performance and start increasing your cNPS and Candidate Experience metrics.

What is Recruitment Analytics?

Recruitment analytics is the practice of using data to optimize and improve the recruitment process. By analyzing data from various sources, such as job boards, social media, and applicant tracking systems, companies can gain insights into how to improve their recruitment process and make better hiring decisions.

One key aspect of recruitment analytics is tracking key performance indicators (KPIs) such as time-to-hire, cost-per-hire, and applicant-to-hire ratio. These metrics provide valuable information about the efficiency and effectiveness of the recruitment process.

Recruitment analytics can also help companies identify areas for improvement in their recruitment process, such as bottlenecks in the hiring pipeline or inefficiencies in candidate screening. By identifying these areas, companies can make data-driven decisions to optimize their recruitment process and improve candidate experience.