Market Pricing
Using Salary Survey Data to Make Competitive, Evidence-Based Pay Decisions
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Organizations do not set salaries in a vacuum. They compete for talent in labor markets with real prices that move every year. Market pricing is the discipline of gathering the best available evidence about those prices — and making deliberate decisions about where to position against them.
What Market Pricing Is
Market pricing compares internal jobs against external salary survey data for equivalent roles in the relevant labor market. The goal is not to copy the market — it is to understand your competitive position and make deliberate choices about where you want to be. Those choices are your market positioning strategy: targeting the P50 median means competitive but not leading; targeting P65 means slightly ahead of most competitors; P75 means genuinely market-leading, typically sustainable only for critical talent segments.
Choosing Survey Sources and Matching Jobs
Not all surveys are equal. The most useful surveys have large participant samples, cover your industry and geography, are updated annually, and allow data to be filtered by relevant variables. Using two or three sources — and cross-referencing where they diverge — produces more reliable market conclusions than any single survey.
Job matching is the most important and most frequently mishandled step. Match by role content and accountability scope — not by title. A Senior Manager in a five-person startup is not comparable to a Senior Manager running a 200-person function. A match with 80% or more content equivalence is reliable. Below 60% should be used only with explicit caveats about the quality of the comparison.
Percentile Positioning and Aging Data
Your choice of target percentile reflects your talent strategy. P50 is defensible for most roles in most organizations. P75 may be justified for roles where the cost of vacancy is very high or where the talent market is highly competitive. P90 positioning is expensive and creates internal equity problems when extended beyond a small number of genuinely scarce specialist roles.
Survey data is always historical — typically 6 to 12 months old when used. In a market moving at 3% to 4% per year, data collected 10 months ago understates today's market by 2.5% to 3.3%. Applying an aging factor — multiplying the survey P50 by (1 + market movement rate × months elapsed/12) — produces a more accurate current benchmark than using raw survey figures.
Common Errors and How to Avoid Them
Matching by title rather than content is the most expensive error — it produces benchmarks 20% to 30% above or below the true market for the role. Using a single survey creates false precision. Failing to filter survey data by relevant sector and organization size makes comparisons against participants whose market dynamics bear no resemblance to yours.
The most dangerous error is treating market data as the answer rather than an input. Market data tells you what the market pays. It does not tell you whether the market is paying the right amount, whether your role's evaluated size matches the benchmark, or how your organization's financial position and talent strategy should influence the final decision.
Three Common Mistakes to Avoid
“Market data does not tell you what to pay. It tells you what the market pays — and gives you the evidence to make an intentional choice about where to position your organization.”
- →Market pricing compares internal pay to external survey data — it is outward-looking, complementing job evaluation's inward focus.
- →Match by role content — scope, accountability, level — not job title. Minimum 80% content equivalence for a reliable match.
- →Target percentile reflects talent strategy: P50 is competitive; P75 is market-leading — both have a place depending on role criticality.
- →Age survey data forward to the decision date to account for market movement since collection.