Ideal Candidate is First Recruitment Tool for Sales Industry Backed by Big Data
“Sales leaders around the world are still struggling with the age-old problem of trying to identify top talent. At an average cost of $49,000 per replacement hire, it’s an expensive problem to have,” said Ji-A Min, Ideal Candidate team member. “Ideal Candidate goes beyond paper resumes and unstructured interviews to recommend candidates based on hard data. This takes the guesswork out of hiring and can have a huge impact on a company’s bottom line.”
Currently in private beta, Ideal Candidate starts with a psychometric assessment of existing sales employees followed by an analysis of team performance for the purposes of creating a benchmark for future hires. New applicants can then be compared to this baseline and given an algorithm-generated candidate ranking. Cost reductions in recruitment are inherent with the tool, which also helps to boost overall sales revenue thanks to its identification of the most productive candidates for each sales role at an organization.
Somen Mondal, co-founder of Ideal Candidate comments, “All the data already exists. Sales data, pipeline growth, ramp-up time…it’s all out there. What distinguishes our service is that now, for the first time, sales leadership has a simple way to correlate this data to tangible applicant traits. We answer the question: Which applicant is statistically destined to be a top performer at my company?”
The tool is currently available through invite-only or closed beta platform. Interested companies may request an invitation directly from Ideal Candidate’s website.