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Which tools are in your current or target stack?

Your Estimated Market Range

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Your full salary breakdown is below.

Your Market Position

Location Comparison

How Your Tools Affect Comp

Tools that show up in higher-paying postings correlate with premium comp. Causation is hard to prove, but the signal is real.

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    Methodology

    Based on 1273 job postings with disclosed compensation from Indeed, LinkedIn, and company career pages. Location modifiers reflect metro-area median vs national median. Tool premiums derived from correlation analysis between tool mentions and posted salary ranges. Updated weekly. All figures represent posted ranges, not self-reported data.

    Frequently Asked Questions

    How accurate is this RevOps salary calculator?

    Our calculator uses data from 1,273 job postings with disclosed compensation, collected from Indeed, LinkedIn, and company career pages. Posted salary ranges are more reliable than self-reported surveys, which typically skew 10-15% higher. That said, your actual offer depends on factors we can't measure: negotiation skill, company budget, competing offers, and equity.

    What factors affect RevOps compensation the most?

    Seniority level is the biggest driver: VP-level roles pay 2-3x entry-level. Location is second, with a 15-25% premium in SF and Seattle vs national averages. Tool expertise matters at the margins: CPQ, Python, and revenue intelligence platforms (Clari, Gong) correlate with higher comp. Company stage and industry also play a role, though those vary too much for a calculator to capture.

    Should I negotiate based on these salary ranges?

    Use this data as a starting point, not a ceiling. If you're at or below the 25th percentile for your level and location, you have strong leverage. Companies with disclosed salary ranges are already benchmarking against market data. Come prepared with specifics: your tools expertise, scope of responsibility, and what comparable roles are paying.

    How often is the salary data updated?

    We scrape and analyze new job postings twice weekly (Tuesday and Friday). Salary benchmarks reflect rolling data from the most recent collection. Quarterly reports capture longer-term trends.

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