Reading pay correctly is perhaps the most crucial and highest-leverage decision small businesses will make. That makes it possible for competitive and fair pay to help you hire faster, retain the right people, and control costs. Doing all this while creating a culture of trust. For busy owners and leaders, that can feel daunting. The good news is that you can do salary benchmarking for small businesses without enterprise software.
But as a concept and as a term, salary benchmarking is really simply comparing what you pay for a role against the comparable work done at similar employers in your state or market. Market value is the pay rate for someone doing a job in an area/industry based on their experience and abilities.
Some smaller businesses believe they need expensive tools to do this right. The truth is that you can mix and assemble free or cheap resources into a pragmatic, repeatable process for you to remain competitive and equitable. This article shows you how.
Why Market Pay Benchmarking Matters for SMBs
Three reasons stand out:
- Talent competition: If you underpay relative to the market, you’ll struggle to attract or keep qualified people. If you overpay, you compress margins and set unsustainable precedents. Objective is a sensible, defensible midfield to your strategy and budget.
- Pay equity and transparency: The fate of pay ranges in postings continues to evolve, as many jurisdictions now require individuals to be aware of what the market is doing. That level of visibility sets higher expectations and changes the incentives in negotiations. So your ranges need to be clear and defensible. Research also shows that cross‑firm transparency (e.g., ranges in postings) improves workers’ information and sharpens competition in the labor market.
- Morale and retention: People want to understand how pay is determined. Even basic clarity about how you set ranges reduces speculation and improves trust.
Example: A 35‑person services firm pays below market for senior individual contributors. Result: recurring turnover, offer declines, and project delays. A benchmarking exercise reveals their target pay is 10–15% below local rates. Calibrating ranges and explaining the approach reduces backfills and improves acceptance rates.
A Simple 4‑Step Process for Salary Benchmarking Without Software
1) Define the Role Clearly
Establish a clear job description: defining duties, necessary competencies, experience level, and outputs will come later; right now, it is also important to highlight physical location (remote/hybrid). Match by work content, not just title, as they vary wildly by company. Public tools like O*NET Online can help you validate duties and identify close occupation matches. Although this is not a job description how-to, it is important to mention the need for determining your requirements vs preferred qualifications at this stage.
2) Gather Data From Multiple Free Sources
Never base a conclusion on one piece of data. Triangulate using:
- Government wage data (baseline, non‑commercial).
- Crowdsourced/aggregated salary sites (directional, role/title‑based, think employee self reported).
- Job boards and employer postings with listed ranges (near real‑time view).
You’ll want to look for consistent patterns across sources and not perfect agreement.
3) Location, Size, and Experience Level Adjustments
Adjust for local cost of labor differences, employer pay premium/discounts, industry wage norms, seniority, and in-demand skills. Hence, these adjustments explain why your own ranges may be higher or lower than a simple national median. Government data often provides regional cuts that help anchor location adjustments.
4) Set a Range, Not a Single Number
Aim for a minimum–midpoint–maximum structure for each role. Ranges accommodate different experience levels and support pay transparency salary ranges in postings, while giving managers guardrails for offers and increases.
Using Government Wage Data as a Baseline
A trustworthy baseline for U.S. SMBs is the Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) program. It publicly publishes national, state, and metro employment and wage estimates for ~800+ occupations. You can apply profile and table tools to explore wages for an occupation and geography.
How to Use it Quickly:
- Identify an occupation in which your role is well represented.
- Sample at median (50th-percentile) and, optionally, 25th/75th to see a wide range.
- If appropriate, narrow by geography (state or metro). Think about where the work takes place in your remote hiring and on your pay policy.
Limitations to Note:
- Lag: OEWS is based on survey panels and annual releases; great for structure, but can lag fast‑moving markets.
- Fit: Occupational categories will not provide a perfect match to hybrid or emerging roles. Use closest-fit categories and augment research with other sources.
Consider this your base, not the whole of the market.
Using Crowdsourced Salary Sites Carefully
Crowdsourced or aggregated platforms (like mega job sites that post salary data in insights) are beneficial for role/title-specific perspectives by location, and occasionally by organization size or industry. Most of these tools depend on self-reporting data and/or aggregating posting information. On the other hand, some provide filters based on experience and other compensation elements.
Get What You Need Without Over-trusting:
- Search across various titles for the same position.
- If your market is thin, compare adjacent locations.
- Self-reporting biases
- Cross‑check against BLS baselines and posting ranges.
Caveats: sizes of sample vary. Data may be from several months ago. Think of these estimates as signposts.
Mining Job Boards and Pay Transparency Ranges
Job boards are increasingly showing salaries provided by employers as more states and cities require pay ranges in postings. You scan these postings and get a real‑time read of what companies similar to yours are paying, particularly useful in fast‑moving roles.
How to Do it:
- Find equivalent positions in your industry (and in locations you recruit from).
- Some suggestions include the bottom/mid/and top ends of posted ranges and any patterns you see in benefits or incentives.
- Not all postings are consistently up-to-date, so always double-check other data sources.
Bringing It All Together into a Practical Pay Range
Here is an easy way to combine the sources into a justifiable range:
- Baseline: Pull the BLS OEWS median for your target occupation in your region. If the metro data are thin, use the state, then the national. This anchors your estimate in a non‑commercial dataset.
- Directional checks: Look up the same title on two crowd sourced/aggregated platforms. Note any consistent deltas.
- Real‑time lens: Check 10–20 job postings for roles to find live pay transparency, salary ranges, and benefits positioning. If the postings have regularly beaten baselines, lower your expectations.
- Adjustors: Apply judgment for location (cost‑of‑labor), company size, industry, and experience. Document your rationale.
- Set the range: Establish min–mid–max. So, e.g., if your triangulation returns $80,000 to you for the midpoint, you might abstract $72k–$88k–$96k, then tune after using it for a quarter.
Illustrative Example:
- BLS (metro) median for a role looks like $78k.
- Two crowdsourced sources show clusters near $80–85k for similar titles in your area.
- Current postings at similar employers’ sites range from $76k to $92k.
You may set the ranges: $76k (min) – $84k (mid) – $92k (max), state your assumptions, and track quarterly.
Takeaway: It’s an informed, solid range, not a perfect number that you are after.
When to Bring in a Compensation Professional
DIY salary benchmarking without software works well for many roles. Consider outside help when:
- You’re scaling fast or opening many requisitions.
- Roles are niche or hybrid and hard to match in public datasets.
- You need formal structures (multiple pay bands, career levels).
- You’re addressing pay equity, compliance exposure, or complex multi‑state posting requirements.
A compensation partner can blend survey data, refine job architecture, and align pay with your small business compensation strategy. This means every dollar you invest in talent is an investment in your goals. When uncertain if pay practices are competitive or fair, talk to a compensation professional who can make sense of the data and relate it to your business objectives. (That conversation can also be a lightweight assessment, where you’ll assess its feasibility instead of doing any kind of large implementation.)
Final Notes
- Check reputable sources: Baseline (gov datasets), directional check (big job boards/salary benchmarks), and your own recruiting data.
- Expect variability: Data refresh cycles and sample sizes differ. BLS is rigorous, but slow; job–board ranges correlate with current listings but vary wildly; crowd sourced sites rely on self–reporting.
- Pay transparency keeps evolving: More jurisdictions are mandating ranges in postings, which serves to expand the availability of public salary signals. But also raises the bar for having clear, well‑documented ranges.
Disclaimer: This article is for general information only and not legal, tax, or financial advice. The salary benchmarking and pay‑transparency obligations differ from one jurisdiction to another. Consult with a compensation or legal professional for your particular matter.
Looking for help to build a straightforward, people-first compensation strategy?
If you’d like a practical, budget‑friendly review of your current ranges and role matches, I offer a short assessment for SMBs. It is rooted in free salary data tools for SMBs, triangulated with current postings, and aligned to your business goals. It’s about informed, cost‑effective, employee‑centric decisions, not software subscriptions.
You can learn more about services or get in touch through my contact page.
FAQs About Salary Benchmarking for Small Businesses
1. When should small businesses review their salary benchmarks?
With ad hoc checks for hot roles or rapid market shifts, at least annually. Government data are published once a year, while job‑board ranges and crowdsourced insights move to real-time. So, use both to stay current.
2. What should I do if market data is higher than what I currently pay?
Validate the match (role content, level, location) first. If it remains in place, consider stepwise changes, strategic market resets for essential roles, noncash elements (flexibility, growth, and recognition) during your budgeting cycle for staff increases.
3. How do I handle remote roles where employees live in different states?
Establish a location-based compensation policy (e.g., pay driven by employee work location, headquarters, or zoned approach). You used BLS Data to anchor each zone and then applied postings in those markets for fine-tuning.
4. Can I benchmark salaries if my job titles are unique?
Yes. Benchmark on job content. Use O*NET to find the closest standard occupation. Match by duties, not titles.
5. How much are the market median and 75th percentile apart?
The median (50th) is the one where half are above, and half are below. Some employers pay more, some less. The 75th signifies a market-price position (typically for rare skills, or top‑tier employers). Use percentiles to position your pay strategically by role.