Accurate, relevant salary benchmarking
Pave offers real-time salary and equity benchmarking data so you can understand how your pay programs compare with market rates—no surveys required. Get started with Market Data Launch for free access to 240+ job families from 8,000+ companies.

Salary Benchmarking FAQs
You have questions, we have answers. Explore some frequently asked questions about salary benchmarking, Pave's data methodology, and more.
Salary benchmarking is the process by which compensation leaders compare salaries within their organization against those for similar external roles at other companies. This is how businesses determine whether their pay practices are competitive and in line with market rates.
Equity benchmarking follows a similar process as salary benchmarking, but looks specifically at the employee equity portion of compensation. This may include benchmarking against the market across several dimensions, such as new hire equity grants and ongoing or refresh equity grants.
Pave's Market Data products leverage our real-time dataset sourced directly from 8,000+ companies to bring you accurate salary and equity benchmarks from the most relevant peers. Using automated and persistent connections to HRIS, ATS, and EMS platforms, Pave collects salary and equity data in real-time, eliminating the need for manual compensation survey submissions. Plus, our predictive machine learning algorithms smooth the data, removing manual work and ensuring available benchmarks for every role.
Salary data helps employers create competitive job offers by identifying market-aligned pay ranges for specific roles, locations, and seniority levels. Using salary research tools ensures offers are consistent, fair, and competitive without relying on guesswork.
Salary benchmarking tools provide more accurate and scalable insights than spreadsheets or surveys. They offer real-time salary analysis, reduce manual work, and help companies maintain competitive compensation while controlling costs.
Reliable salary research tools for US jobs use real-time data sourced directly from employers rather than static surveys. Platforms like Pave provide continuously updated salary and equity benchmarks across industries, job families, and regions.
Scale with free salary benchmarking
Early-stage teams often rely on spreadsheets to manage compensation. While familiar, spreadsheets quickly become outdated, error-prone, and difficult to scale.
Salary benchmarking tools provide a faster and more accurate alternative. Instead of manually maintaining data, Pave delivers real-time salary analysis that updates automatically as the market changes. This reduces risk, improves consistency, and saves hours of manual work.
With Market Data Lite, you can access free base salary and new hire equity benchmarks to set competitive job offers with confidence, avoid underpaying or overspending, and build scalable compensation foundations without surveys.

Access advanced benchmarking tools
Market Data Pro is designed for organizations with more complex compensation needs. It delivers salary benchmarking across all job families, metro areas, and countries, paired with advanced equity analysis.
Pave’s salary research tools help larger organizations identify internal pay gaps across roles, levels, and teams using real-time salary and equity data; improve cost control with clear visibility into market positioning, equity benchmarks, and budget impact; and support executive decision-making using consistent, defensible salary analysis.
With salary research and equity data in one platform, compensation leaders can strike a balance between competitiveness, cost discipline, and pay equity, while building trust through transparent compensation programs.

Real-time salary analysis insights
Stay informed with expert guidance on salary analysis, competitive compensation, and modern benchmarking practices. Pave’s content library explores how real-time salary research tools help organizations respond faster to market shifts and make smarter pay decisions.
Explore the latest articles and resources to deepen your understanding of compensation strategy and data-driven pay design.




