Make data-driven compensation decisions

Access industry-leading benchmark data with Compensation Benchmarks.

Market Compensation table showing base salaries for Business Strategy and Customer Support jobs at different levels in the United States, with salary percentiles at 25th, 50th, and 75th.

Identify and retain top performers

Reduce turnover and hiring costs by using market data to ensure employees are paid competitively and equitably for their role, location, and industry.

Market Compensation table showing job functions Business Strategy and Customer Support for United States with base salaries at 25th percentile; Customer Support P2 developing level earns $72,765, Business Strategy P1 entry level $54,590, and Business Strategy P2 developing $54,233. Panel describes Customer Support L2 job level with description, sample size of 300 companies and 15,380 employees.

Make better pay decisions in a fast-changing market

Accurate, real-time information helps you make data-driven budget decisions that support employees — ensuring equity, efficiency, and consistency across your business.

This last performance cycle, Lattice Compensation helped us award pay adjustments in a fair way to make sure that someone was getting the increase or movement that they deserved.
Bill Haig
Bill Haig
Vice President of Operations
@
GoodUnited
Market compensation chart for Customer Support jobs in the United States, showing base salary breakdown by job function with bars ranging from about $80,000 to $130,000, highlighting percentiles $115,682 at 75%, $102,940 at 50%, and $91,605 at 25%.

Reduce internal pay disparities

Empower your team to have transparent compensation conversations. Proactively see how your salaries will be perceived by employees, then put your best foot forward.

Frequently Asked Questions

What is compensation benchmarking software?

Compensation benchmarking software enables organizations to compare their compensation packages against industry standards, ensuring competitive and equitable pay for employees. This process involves analyzing market data to inform salary structures and compensation decisions.

How does Lattice's Compensation Benchmarking feature support fair pay practices?

Lattice's Compensation Benchmarking, powered by Mercer, provides access to an international compensation dataset with millions of records across over 90 countries and 150 cities. This extensive data allows organizations to make informed, equitable compensation decisions based on role, location, and industry standards.

What are the benefits of using Lattice's Compensation Benchmarking feature?

Utilizing Lattice's Compensation Benchmarking helps reduce turnover and hiring costs by ensuring employees are compensated competitively. It also aids in making data-driven budget decisions, promoting equity, efficiency, and consistency across the organization.

How can Lattice's Compensation Benchmarking assist in identifying internal pay disparities?

By providing accurate, real-time market data, Lattice's Compensation Benchmarking empowers organizations to proactively identify and address internal pay disparities, fostering transparent compensation conversations and promoting fairness.

How frequently is the benchmark data in Lattice's Compensation Benchmarking updated?

Lattice's Compensation Benchmarking, powered by Mercer, is updated quarterly to help organizations make data-driven compensation decisions that support employees and ensure equity.

Can Lattice's Compensation Benchmarking be customized to fit our company's specific needs?

Yes, Lattice's Compensation Benchmarking allows for customized filtering to align with your organization's unique roles, locations, and industry, ensuring that the compensation data is relevant and applicable.

How does Lattice ensure data security within its Compensation Benchmarking feature?

Lattice employs robust security measures, including data encryption and access controls, to protect sensitive compensation information and ensure that only authorized HR admins have access to the data.

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Ensure both are successful with Lattice.