Salary Negotiation Phrases That Actually Move the Number
Most people don't lose leverage in a salary negotiation by asking for too much -- they lose it in the phrasing, by turning a negotiation into a request for permission.
Negotiation research consistently finds that the first number stated in a negotiation exerts outsized influence on where it lands -- a well-known effect called anchoring. The practical version: stating a number grounded in market data and the role's actual scope ("based on the market and what this role covers, I'd be targeting $X") does more work than a hedge like "I'm open to discussion," which signals you have no anchor of your own and invites the other side to set one for you.
A second consistent finding, going back to research like Linda Babcock's work on gender and negotiation, is that asking a direct question shifts the dynamic more than making a statement. "What band have you set for this role?" gets you real information and costs you nothing; "I know budgets are tight" concedes ground before anyone has asked you to. The same logic applies to timing commitments -- "let's agree the review timeline and number now, in writing" is a concrete ask; "I'll see how the first few months go" is an unenforceable hope.
None of this requires being combative. The versions that work best tend to be plainly stated, not aggressive: naming a number directly ("I'd need $X to make this move"), asking how a figure was calculated ("can you walk me through how you arrived at that"), or simply confirming that getting compensation right before signing is the goal both sides share. What all of them avoid is the pattern that actually costs money -- pre-negotiating against yourself with a phrase that signals comp isn't a real priority, before anyone on the other side has said a word.
Drawing on negotiation research on anchoring effects and Linda Babcock and Sara Laschever's research on negotiation behavior ("Women Don't Ask").
Editorial note: Knowledge Hub pieces are member-submitted and reviewed before publication. They are not scraped from third-party sites. Research datasets live on the AI Job Risk Index.
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