How Average Salary Data Undermines Your Negotiation

What this episode covers

Lucas and Luna unpack why using average salary data from sites like Glassdoor or Payscale can actually hurt your compensation negotiation. They explore how averages flatten experience, location, and performance variance, and why savvy recruiters exploit that. The episode centers on a 2024 study from Cornell's ILR School showing that negotiators who used median comp for their specific role and location got 12% higher offers than those who relied on broader averages. Lucas outlines two concrete strategies: building a 'comp book' with three data points and using percentile anchoring instead of average anchoring. Luna pushes back on whether this works for junior roles. A practical 11-minute drill for anyone preparing for a job offer or promotion talk. #SalaryNegotiation #PayTransparency #AverageSalaryMyth #CompDataStrategy #Compensation #CareerAdvice #NegotiationTactics #CornellStudy #MedianVsAverage #SalaryBands #JobOfferStrategy #WorkplaceInsights #FexingoBusiness #BusinessPodcast #Careers #TheCompensationPodcast #PayEquity #SalaryBenchmarking Keep every episode free: buymeacoffee.com/fexingo

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Frequently Asked Questions

How long is this episode of The Compensation Podcast with Fexingo: Pay Transparency, Equity, Bonuses, and Total Comp?

This episode is 8 minutes long.

When was this The Compensation Podcast with Fexingo: Pay Transparency, Equity, Bonuses, and Total Comp episode published?

This episode was published on June 12, 2026.

What is this episode about?

Lucas and Luna unpack why using average salary data from sites like Glassdoor or Payscale can actually hurt your compensation negotiation. They explore how averages flatten experience, location, and performance variance, and why savvy recruiters...

Can I download this The Compensation Podcast with Fexingo: Pay Transparency, Equity, Bonuses, and Total Comp episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.