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RealCallTM — Simulation-Based Training That Delivers Real Results

RealCall delivers measurable savings. In fact, Fortune 500 RealCall customers report projected cost savings between $7 million and $20 million annually, or projected net benefits of over $1.3 million per year for every 1,000 agents. 1

This data is based on a number of contributing factors:
  • Experience 5-40% Less Agent Attrition:
    Traditionally, agent attrition has been challenging for Call Centerss, with personnel turnover rates running at 40-90% of total Call Centers employees.
  • Reduce Initial Training Time by 10-25%:
    According to a Purdue University study, the cost of hiring and training new employees runs from $2,600 to $15,000 per new agent. RealCall is built on performance-based training methodology, which uses short, repetitive learning breaks to capitalize on the way the human mind reads and assimilates new information. As a result, agents retain information more effectively.
  • Improve Call-Handling Time by 12-24%:
    Average call handling time is one way to measure Call Centers productivity. However, a more accurate indicator is in how prepared an agent is to handle calls; a better-prepared agent not only improves the quality of calls, but also processes calls more efficiently.
  • Help Agents Achieve Goals 25-40% Faster:
    Agents who participate in RealCall simulation-based training build the skills they need to achieve performance goals faster.
  • Spend 25-50% Less Time on Role-Playing:
    While traditional role-play-based training provides immediate feedback, it's costly, time-consuming and ineffective. RealCall delivers real-time coaching during sessions, and tracks performance metrics extensively.
  • Achieve 5-15% Greater Customer-Satisfaction Scores
    Through simulation-and-immersion exercises, RealCall trainees learn how to provide relevant information efficiently, which minimizes return phone calls.
1 This projected data is based on a combination of factors, and is applicable to RealCall customer Call Centers enterprises with populations of 5,000 to 15,000 agents.




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