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Mercer Rewards Optimizer

Mercer Rewards Optimizer

MarshMarsh — Trusted salary benchmarking surveys

Mercer’s imercer.com is Mercer’s global portal for employer‑reported salary surveys, compensation and benefits data, and HR insights across industries and countries. It offers robust pay and policy benchmarks, employee experience solutions, and global mobility resources to help organizations make data‑driven rewards decisions.

Compensation & Benefitssaas
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Use Case

Organizations struggle to align total rewards spend with what employees actually value, often overinvesting in low-impact areas and missing higher-impact opportunities. Mercer Rewards Optimizer helps HR and Total Rewards teams measure employee preferences, understand trade-offs, and rebalance compensation and benefits to improve attraction, retention, engagement, and ROI at the same or lower total cost. Typical problems addressed include: reducing turnover in key populations, prioritizing rewards investments under budget constraints, identifying ‘wasted’ dollars, and validating program design choices with employee data.

Organizations need reliable benchmarks on compensation-related policies beyond base pay to remain competitive, design equitable total rewards, and inform updates to HR policies. This survey provides policy and practices data from hundreds of US companies, enabling HR and compensation leaders to see how their approaches compare by employee group and revenue across 13 industries. Typical problems addressed include: determining norms for PTO, overtime, on-call pay, parental leave, car policies, and perquisites; aligning performance management and work arrangement policies with market practice; and understanding cross-industry variations to guide policy changes and stakeholder communications.

Target Audience

HR leaders, Total Rewards and Compensation & Benefits teams, People Analytics, and CHROs at organizations seeking to optimize compensation and benefits. Suitable for medium to large enterprises across industries (example case study: healthcare/hospital system) and global organizations.

Source URLs

  • https://www.imercer.com/products/mercer-rewards-optimizer
  • https://www.imercer.com/products/mercer-rewards-optimizer?utm_source=openai
  • https://www.imercer.com/products/slug/mercer-rewards-optimizer?utm_source=openai

approach

Quantitative market research and optimization combining custom conjoint analysis with efficient frontier portfolio modeling and cost impact analysis.

output_artifacts

Preference models, optimized rewards package sets, scenario comparisons, and decision-ready reporting/recommendations.

differentiators

  • Direct measurement of employee trade-offs and magnitude of preference (not just satisfaction surveys)
  • Efficient frontier methodology to maximize preference per dollar at or below current cost
  • Focus on rebalance and reinvestment of ‘wasted’ spend to improve ROI

global_availability

Indicated as applicable across industries and geographies.