Case Study: S&P Data achieves 3.7X recruiter efficiency, 400% higher contact rates, and 20% improved retention with Ideal

S&P Data uses Ideal’s Artificial Intelligence to improve candidate experience, decrease time to fill, and improve retention rates

S&P Data is a leading North American contact center with seven locations across the U.S. and Canada, serving Fortune 100 and Fortune 500 clients. The company faced low candidate contact rates, heavy recruiter workloads, long time-to-hire, and high early turnover that threatened service quality.

By implementing Ideal’s AI-driven automation and 24/7 chatbot, S&P Data raised contact rates from 20% to 84% (a 400% increase), improved recruiter efficiency by 3.7x, cut time-to-hire from 25 to 10 days, and increased retention by 20%. The result: faster hiring, better-quality hires, and new employees who are outperforming more tenured associates.

S&P Data

Sara Benincasa

Vice President, Human Resources