A technology and call center company sought to boost sales productivity by adopting data-driven hiring practices. They used Criteria's Sales Achievement Predictor (SalesAP), a personality test for sales roles, correlating test results with revenue-per-day (RPD). Employees rated as "Highly Recommended" by the test generated 25% more RPD than those "Not Recommended," averaging $691/day versus $551/day. "Recommended" employees averaged $602/day. Incorporating SalesAP into hiring could increase sales volume by $4.8 million annually for their 750-person call center, demonstrating the test's predictive power and value in enhancing revenue.

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