Case Study: R.S. Hughes Improves Sales Hiring Success with Plum

Predictively Identifying Top Performing Sales Talent with Universal Data

R.S. Hughes, an industrial supplies distributor with more than 50 U.S. locations, needed a better way to identify the competencies and behaviors that predict success in sales roles. The company struggled with high turnover, heavy manager involvement in screening applications, and inconsistent alignment across branches on what makes an ideal candidate.

Using Plum.io’s predictive hiring platform and Match Criteria Survey, R.S. Hughes added talent data to evaluate candidates beyond education and experience and aligned managers on the key talents for SDR roles, especially execution. With Plum.io, the company reduced manager time spent reviewing applications, improved candidate quality at the interview stage, and achieved strong results: 97% of Plum-recommended hires were successful in their roles, with only 2 of about 60 later marked “would not hire again.”

R.S. Hughes