CompBldr Market Benchmarking gives comp teams a complete market pricing workflow: blend up to six data sources with confidence scoring, map survey titles with AI assistance, drill into per-position percentile distributions, build regression-based salary structures, and produce versioned analysis reports, without exporting anything to Excel.
of organizations say their salary ranges are out of date or not aligned to current market conditions
higher voluntary turnover risk when compensation is perceived as below-market in critical roles
of pay equity issues are linked to inconsistent or title-based role matching against market survey data
Most benchmarking workflows are a patchwork: one survey source, a manual Excel match, a regression built from scratch each cycle, and a report that cannot be reproduced if someone asks what data was used last year. CompBldr replaces that with a six-tab governed platform that covers every step from data source configuration to finalized, versioned report packages.
Six compensation data sources blended natively. The dashboard surfaces compa-ratios, below-market counts, source coverage by job family, and market position distribution, all updating in real time as sources are toggled and parameters are adjusted.
The Sources tab maps every organizational position to survey titles across all active data sources. An AI matching engine suggests ranked comparators with Confident badges. Match quality is rated Exact, Strong, or Partial. Effective dates are recorded per comparator with batch-apply available for selected titles.
The Market Grid drills into any position to show its P10–P90 distribution with internal pay overlaid. A six-source detail table shows PayRate, Adj PayRate, Min, Max, Mid, and percentile breakdowns per comparator. Salary structure development uses regression analysis to derive pay policy lines and configurable grade ranges natively.
Eight pre-built benchmarking reports and four interactive graphs cover every aspect of market analysis. Finalize Reports locks a complete data snapshot into a versioned, auditable package. Prior-year packages are preserved for comparison and governance without rebuilding anything.
CompBldr's Compensation Planner gives HR and Finance a single system to run the entire compensation cycle, from building the cycle and allocating budgets to manager proposals, approvals, and employee reward statements.
The Dashboard is the starting point for every benchmarking session. Five KPI cards surface the metrics compensation teams need most: positions analyzed, active sources, average compa-ratio, below-market count, and high-confidence data points. All five update in real time as sources are toggled and parameters are adjusted, no page refresh, no export, no recalculation step.

The Sources tab is the job-matching layer of the benchmarking platform. The screen divides into two panels: Your Jobs on the left shows every organizational position with its job code and job family, and Survey Jobs on the right shows every survey title mapped to that position across all active data sources.

The Market Grid is the analysis layer of the benchmarking platform. Every benchmarked organizational position appears in the grid with its blended market data. Clicking any position opens the Position Detail view, a full-screen analysis of that position's market story.

The Map Survey Title modal provides an AI-assisted matching interface. The left panel shows the organizational position profile, while the right panel provides search filters and AI-generated survey title recommendations.

The Analysis tab provides two reporting modes: Benchmarking Reports and Benchmarking Graphs. Eight built-in reports support market analysis, salary structure design, and compensation planning decisions.

The Benchmarking Graphs tab provides four visual analytics views generated from the same governed dataset as the reports.

These are the outcomes comp teams see when they replace a single-source, spreadsheet-based benchmarking process with a governed platform that covers data sourcing, job matching, percentile analysis, salary structure development, and versioned reporting in one workflow.
Spreadsheet-based benchmarking is not a neutral workflow—it is a source of structural errors that compound across the salary structure, the merit cycle, and the pay equity analysis. Here is what that gap looks like in practice, and what a governed benchmarking platform delivers instead.
CompBldr blends six independent compensation data sources natively: Salary.com (API integration), Bureau of Labor Statistics OES (government data), ERI Economic Research Institute (API integration), Mercer TRS (premium survey), Radford by Aon (premium survey), and Willis Towers Watson (premium survey). All six are weighted by sample size and adjusted with aging factors.

A confidence score (0–1000) measures the statistical reliability of a blended market figure. It reflects the number of active sources, the match quality of each comparator, and the combined sample size behind the blended number. High-confidence data (green) is reliable for pay range decisions. Low-confidence data is flagged for review before use.

The Map Survey Title modal uses ML-based matching to rank survey titles for each organizational position based on the full job description, scope, and level, not just the title. Results are rated Confident, Strong, or Partial. Multiple titles from multiple sources can be selected in one session with individual effective dates before confirming the mapping.

Match quality badges rate how closely a survey title aligns with an organizational position. Exact (green) means direct alignment. Strong (blue) means closely related with minor scope differences. Partial (yellow) means overlapping but with meaningful scope variation. Match quality affects how each comparator is weighted in the blended market calculation for that position.

An aging factor adjusts survey compensation data for the time elapsed since the inclusion date. Older survey data understates current market pay. When the Aging Factor toggle is enabled, CompBldr automatically recalculates Adj PayRate for every comparator based on its inclusion date, no manual per-row entry required.

Eight pre-built reports are included: MB-EX010 Market Comparison Report, MB-EX013 Market Comparison Summary, MB-EX011 Market Average Pay, MB-EX020 Pay Ranges and Pay Grades By Position, MB-EX016 Salary Budget, MB-EX001 Comparative Market Analysis (Staff), MB-EX002 Proposed Grade and Range Structure, and MB-EX003 Potential Costs to Implement Salary Ranges. Four analytical graphs are also included.

Finalize Reports locks the current benchmarking data into a versioned, auditable package. The package captures the source configuration, aging factor settings, match quality assignments, and all eight reports at the moment of finalization. Prior packages are preserved and retrievable. When a pay decision is questioned, the data behind it is one click away.

MB-EX019 displays side-by-side box plots per pay grade, comparing internal salary ranges (blue) against market data ranges (green). The median line shows the midpoint of each distribution. When the green box extends above the blue box for a given grade, internal ranges are lagging the market at that grade and warrant structural review.

Yes. Each organizational position can carry any number of survey title comparators across any combination of active data sources. In the example, Senior Software Engineer carries six comparators: two from Salary.com and one each from BLS, Radford, Mercer, and WTW. The blended market number weights each comparator by match quality and sample size.

CompBldr Market Benchmarking gives comp teams a complete, governed market pricing workflow from data source configuration to finalized, auditable report packages, without exporting anything to Excel. Every pay range you build rests on the broadest data foundation available at mid-market pricing.