Mercer holds a clear lead for compensation benchmarking data and structured salary surveys. However, Korn Ferry is the usual answer when buyers specifically evaluate vendors for an overall compensation review.
When conducting a compensation review, choosing the right salary benchmarking data provider depends on your company's size, industry, geography, and budget. The market divides broadly into traditional global consulting firms, specialized tech/industry survey providers, software-integrated market data platforms , and public/crowdsourced databases.
These providers offer the gold standard for enterprise benchmarking. They rely heavily on robust, verified employer-submitted data across global markets.
Mercer : Offers the massive Mercer Benchmark Database (MBD), covering thousands of jobs across industries and skill levels globally.
Willis Towers Watson (WTW) : Renowned for comprehensive data surveys (DataServices) covering executive, professional, and general staff compensation on a global scale.
Korn Ferry : Excellent for enterprise-level benchmarking, leadership evaluation, and executive compensation data.[](]()]()
These platforms combine aggregated surveys, automated job-matching, and compensation management software into a single workflow.
Salary.com (CompAnalyst): Features a massive HR-reported database with intuitive software tools like salary structure wizards to help build and update pay ranges.
Payscale (including Payfactors): Offers massive crowdsourced and employer-reported datasets combined with real-time market pricing tools [b.1.6].
Bureau of Labor Statistics (BLS) : A stellar, free public resource for macro-level US wage data, broken down by industry, occupation, and metropolitan area [b.1.2]. It serves as a great sanity check, though it shouldn't replace hyper-specific private employer surveys [b.1.2].
Crowdsourced platforms (Glassdoor, Levels.fyi) : Helpful for getting a general pulse on total compensation (especially in tech), but best used as directional supplements rather than the foundation of a formal compensation review due to self-reporting bias [b.1.2].
To help narrow down which provider fits your review, could you share:
Your company size and industry?
Whether you are hiring locally or globally?
I can help you decide whether a self-service software platform or a comprehensive industry survey is right for your goals.
For a compensation review, I’d start with established compensation survey providers that offer employer-reported salary data, then compare them with newer benchmarking platforms and free government data. The right choice depends on your company’s size, industry, geographic footprint, and whether you need base salary, bonuses, equity, or total rewards.
Leading salary benchmarking providers
These are the main providers worth evaluating for a 2026 compensation review.
1. Mercer (now Marsh)
Best for: Large employers and multinational organizations
Provides employer-reported salary surveys across industries and countries, including compensation structures and benefits data. A strong starting point for broad market benchmarking.
Best for: Market pricing and compensation management
Offers salary benchmarking data and tools for job matching, pay ranges, and compensation planning. Worth considering if you want data and workflow tools in one solution.
Culpepper specializes in employer-submitted surveys, while Pave uses connected HR systems to produce aggregated, refreshed benchmarks. BLS provides a useful public-data baseline, although it is less tailored to employer-specific job levels and total compensation.
How I would shortlist vendors for your review
Large or multinational organization: Mercer, WTW and Korn Ferry.
Technology or life sciences: Aon Radford, Culpepper and Pave.
U.S.-focused, broad-based workforce: Salary.com, Payscale and ERI.
Limited budget or preliminary analysis: BLS data, supplemented by other sources where possible.
These are starting points rather than a definitive ranking. For a defensible compensation review, compare multiple sources where feasible and make sure the job matches, geographic markets, company peer groups and data dates are consistent.
What to ask each vendor
Data coverage: How many relevant employers and incumbents are represented in your industry and locations?
Compensation elements: Are base salary, target and actual bonus, equity, and total cash compensation included?
Job matching: Can you match roles by responsibilities, career level and scope rather than title alone?
Data freshness: When was the data collected, and how often is it refreshed?
Cost and access: What is the annual subscription cost, and are there additional fees for reports, job families or geographies?
One question to help narrow the shortlist: What type of organization are you benchmarking?
For adjusting your salary bands, I recommend using a combination of employer-reported compensation benchmarking surveys, industry-specific reports, and government wage data. This gives you a more reliable picture of current market rates than relying on a single salary website.
Here are the best places to start, including options for free reports and more comprehensive paid data.
1. Compensation benchmarking reports to explore
Payscale
(Best starting point)
Explore the 2026 Compensation Best Practices Report. It covers compensation strategy, benchmarking, pay transparency, geographic pay, and salary planning. Payscale also publishes salary budget surveys and labor market reports.
Best for: HR teams reviewing salary structures and annual pay adjustments.
Mercer (now transitioning to Marsh)
Browse Mercer's salary benchmarking surveys. Its employer-reported data spans industries, locations, and thousands of job roles. This is a strong option when you need structured survey data to price individual positions.
Best for: Formal salary structures, multiple job families, and larger organizations.
SHRM / Salary.com
Visit the SHRM Compensation Data Center. SHRM members can access one free benchmark job report, with additional reports available for purchase. You can narrow comparisons by job title, industry, location, and company size.
Best for: Small and midsize HR teams that need targeted job-level benchmarks.
Best for: Established compensation programs and broader pay planning.
U.S. Bureau of Labor Statistics (BLS)
Use the BLS wages and pay data portal to access occupational wage data by job, industry, and geographic area. It's a useful public-data baseline and doesn't require a paid survey subscription.
Best for: Free market comparisons and checking local wage levels.
2. Where to find free reports
If you're trying to control costs while evaluating your current salary bands, start with these resources.
3. How to use these reports to adjust your salary bands
Once you have the data, I would use this process:
Match jobs by responsibilities, not just titles. A finance manager at one company may have a different scope from a finance manager at another.
Compare the right labor market. Filter by geography, industry, organization size, and remote or on-site work arrangements as appropriate.
Select your target market percentile. For example, the 50th percentile represents the market median; the 75th percentile represents a more competitive pay position.
Review your existing bands. Compare your minimum, midpoint, and maximum against the market benchmarks.
Check internal equity and budget impact. Identify employees below the proposed minimum, compression between levels, and the cost of adjustments before approving changes.
For a typical salary band, you might use the 25th percentile as a reference for the lower end, the 50th percentile as a midpoint reference, and the 75th percentile as an upper reference. These are starting points, not universal rules; your pay philosophy and job-level structure should determine the final ranges.
4. Let’s narrow this down to your organization
I can recommend a more targeted set of reports if you share one important detail: what type of organization are you benchmarking for?
For example, a technology company, healthcare organization, nonprofit, manufacturing business, or professional-services firm will often need different survey sources and peer groups.
To build an accurate and competitive set of salary bands, data should be pulled from a mix of primary categories:
Professional Compensation & Industry Surveys
Major HR Consulting Firms: Providers like Mercer, Willis Towers Watson () , and Radford offer comprehensive, highly structured industry salary surveys segmented by company size, geography, and job level.[](]()]()
Setting up equitable, market-competitive pay structures requires relying on validated employer-reported data rather than casual self-reported internet searches. For defensible salary benchmarking, compensation professionals typically use a blend of professional compensation surveys, specialized software, and baseline public data.
1. Professional Compensation Surveys & Databases (The Gold Standard)
These providers aggregate actual HR-reported payroll data directly from thousands of organizations. Many operate on a "give-to-get" model where you submit your own company's data in exchange for discounted or free access to the comprehensive survey results.
WTW (Willis Towers Watson) : Provides massive global compensation databases and industry-specific pay insights, heavily relied upon by mid-to-large enterprises.
Aon Radford : Widely considered the gold standard for technology, life sciences, and high-growth startup sectors.
2. Market Pricing Software & SaaS Platforms
If you need interactive tools to build salary bands, model pay ranges, and match internal job descriptions to external market data without managing raw data spreadsheets, specialized platforms are available:
Salary.com (CompAnalyst) : Excellent for comprehensive market pricing, structured pay-range modeling, and accessing massive HR-reported datasets.
PayScale MarketRate / Insight : Features real-time pricing intelligence, skill-based pay adjustments, and transparent reports that help build internal trust.
Bureau of Labor Statistics (BLS) : The premier public source for US wage data, broken down by geography, industry, and occupational code. Note: BLS data is reliable and objective, but tends to be a bit backward-looking compared to real-time SaaS tools.
Professional & Industry Associations : Local chapters or national groups (like SHRM for HR roles) frequently run hyper-targeted annual compensation surveys that account for niche skill sets and local market nuances.
Best Practices for Benchmarking
Cross-Reference Multiple Sources : Don't rely on a single database; triangulate data across at least 2–3 reputable sources to smooth out variances.
Age Your Data : Pay data shifts rapidly. If your survey data is several months old, "age" the data forward using projected market merit increase percentages (typically 3%–5% annually depending on economic conditions).[](https://www.compensationresources.com/services/market-pricing/)
Match Job Content, Not Titles : Two companies might call a role "Manager," but the scope, budget, and reporting lines can differ entirely. Always benchmark based on the actual duties and job architecture.[](https://www.compensationresources.com/services/market-pricing/)
If you'd like, we can explore:
The industry and company size/stage you are hiring for
Whether you need geographic adjustments for remote workers
I can help you pinpoint which specific platform or survey style fits your budget and team size best. You might also want to check out discussions on the r/compensation community on Reddit for peer insights on how smaller HR teams handle data gaps without massive enterprise survey budgets.
For building equitable pay structures, I recommend using a combination of government wage statistics, reputable employer-reported compensation surveys, and internal pay-equity analysis. No single source gives you a complete picture: market benchmarking tells you what other employers pay, while pay-equity analysis helps you determine whether your own employees are compensated fairly.
Here are the most reliable places to start, particularly for U.S. employers.
1. Best sources for salary benchmarking
1. U.S. Bureau of Labor Statistics (BLS)
(Free)
Best starting point for objective wage benchmarks by occupation and location. Its Occupational Employment and Wage Statistics (OEWS) program provides wage estimates nationally, by state, and for metropolitan areas.
For a salary benchmarking exercise, there are several established vendors that sell compensation data reports, salary survey results, and benchmarking subscriptions. The best choice depends on whether you're benchmarking corporate roles, executive compensation, technology positions, hourly workers, or industry-specific jobs.
1. Major compensation data providers
These are the providers I would shortlist first for a corporate salary benchmarking exercise.
Best for: Broad, multinational compensation benchmarking
Offers total remuneration surveys, salary benchmarks, benefits data, and compensation planning resources. A strong starting point for organizations comparing pay across multiple countries, industries, and job levels.
Salary.com, for example, combines HR-reported compensation benchmarks with job-posting intelligence, while Lightcast offers advertised-wage and occupational compensation analysis.
3. Industry associations that sell compensation reports
If your company operates in a specific sector, association-sponsored surveys can be more relevant and less expensive than broad global databases.
HR Source — sells regional Chicago compensation reports, national executive compensation surveys, and industry-specific studies. Browse its survey store.
National Association of Electrical Distributors (NAED) — offers cross-industry compensation and benefits data tailored to electrical distribution. Its 2026 report is listed at $829 for members and $1,899 for non-members. View report.
International Foodservice Distributors Association (IFDA) — sells compensation reports covering executive, salaried, sales, driver, and warehouse positions in wholesale distribution. View survey options.
4. How I would approach the benchmarking exercise
I'd request proposals from three to five vendors and compare the following:
Job coverage: Does the database include your actual roles and seniority levels?
Peer group: Can you filter by industry, revenue, employee headcount, and ownership type?
Geography: Can you isolate your relevant cities, states, or national markets?
Compensation elements: Base salary, annual incentives, long-term incentives, equity, benefits, and total cash compensation.
Data quality: Number of participating employers, sample sizes per job, effective date, and survey methodology.
Deliverables and cost: Downloadable Excel/PDF reports versus a software subscription, including any participation requirements.
Traditional employer-submitted surveys are generally the best starting point when you need defensible pay benchmarks for formal compensation decisions. Job-posting data can complement them, particularly for fast-changing or emerging roles.
A question to narrow the shortlist
What type of organization and employee population are you benchmarking? For example, a manufacturing company, financial services firm, nonprofit, technology company, or a general corporate workforce.
That will help me identify the most relevant vendors, including providers with purchasable report packages and published prices, rather than just software platforms that require a sales consultation.
When conducting a professional salary benchmarking exercise, organizations generally source data from three primary categories of providers: major global consulting firms, specialized software-and-data platforms, and government or industry-specific associations.
The top vendors and sources for compensation data reports include:
These firms provide the gold standard for enterprise-grade, peer-reported compensation data. They typically require companies to participate (submit their own internal data) to unlock discounted or full access to their comprehensive surveys.
Mercer : Offers exhaustive global and regional compensation data, industry-specific reports, and custom analytics.
WTW (Willis Towers Watson) : Renowned for robust executive, professional, and broad-based compensation databases across global markets.
Offers compensation data, survey-based benchmarking, and tools to support market pricing and pay program design. Its published research also provides insight into compensation practices and salary planning.
Useful for: HR teams building salary ranges, organizations that want ongoing market pricing, and employers comparing compensation approaches.
Particularly useful for technology, life sciences, and specialized professional roles, including jobs where bonuses, stock options, and other equity awards form a meaningful part of compensation.
Useful for: startup and technology pay structures, specialized talent markets, and total compensation benchmarking.
Understanding federal compensation discrimination requirements
Free
O*NET is particularly helpful for matching jobs based on actual responsibilities rather than job titles. The EEOC provides guidance on equal pay and compensation discrimination.
3. How to use the data to build equitable pay structures
Collecting salary figures is only the first step. Here's a practical workflow.
Step 1: Standardize your job descriptions
Define responsibilities, required skills, decision-making authority, and career level. Match roles by job content, not title alone.
Step 2: Gather multiple market benchmarks
Use BLS data as a baseline, then add one or two relevant employer-reported surveys. Compare similar industries, organization sizes, locations, and job levels.
Step 3: Establish salary grades and ranges
Choose a market positioning target, such as the 50th percentile, and define minimum, midpoint, and maximum pay for each grade. Adjust for your compensation philosophy and talent needs.
Step 4: Conduct an internal pay-equity analysis
Examine pay differences among comparable employees, accounting for legitimate job-related factors such as experience, skills, tenure, location, and performance where appropriate. Investigate unexplained differences across protected groups.
Step 5: Document and review
Document range-setting decisions, promotion criteria, and pay adjustments. Refresh market data regularly and reassess pay equity after major compensation or organizational changes.
BLS provides annual occupation-level wage estimates, including percentile figures, while the EEOC explains how compensation practices can create discrimination risks. Use market data and internal analysis together rather than treating market alignment as proof of pay equity.
4. My recommended starting point
Small organization or limited budget: Start with BLS and O*NET, then supplement with credible industry-specific data.
Growing company building formal salary bands: Evaluate Payscale and Mercer or WTW surveys.
Technology or life sciences company: Add Radford benchmarks, particularly for equity and total compensation.
Organization reviewing fairness across its workforce: Combine market pricing with an internal pay-equity analysis; consider an independent compensation specialist if the review is complex.
Let's narrow this down to your organization
I can recommend the most relevant data sources and a benchmarking approach if you share a little context.
These tech platforms aggregate massive HR-reported databases, real-time market pricing, and software tools to help build salary structures.
Salary.com (CompAnalyst) : One of the largest HR-reported market datasets, offering robust industry reports, localized adjustments, and automated pay-range modeling.[](https://store.salary.com/by-industry/)
PayScale : Combines crowd-sourced data, proprietary employee datasets, and peer data with structured compensation software.
Culpepper and Associates : Highly specialized in global compensation surveys for tech, life sciences, and medical device industries.
Local & National Industry Associations : Trade groups, local chambers of commerce, and professional associations (such as SHRM for HR roles) frequently run targeted annual salary polls.
U.S. Bureau of Labor Statistics (BLS) : While not a commercial vendor, the BLS (specifically the Occupational Employment and Wage Statistics program) provides reliable, free baseline U.S. wage data categorized by metro area and industry.[](https://vendordirectory.shrm.org/category/compensation/salary-surveys)
To help narrow down which provider fits your needs, could you share:
What industry or sector you are benchmarking?
What geographies (e.g., US-only vs. global) you need data for?
Whether you are looking for executive, tech, or broad-based employee data?
