Translate your product into a single number on his ledger

When the brain chooses, it converts options into a common currency and compares those. If you don't convert your benefit into money, the decision maker has to — friction rises, and the default action becomes no action. A concrete number then anchors the whole discussion around itself.

• Hard evidence · value is encoded in a common currency: Bartra, McGuire & Kable (2013, NeuroImage), meta-analyzing 200+ fMRI studies, show that subjective value — for money, food, or other goods — converges on the same signal in ventromedial prefrontal cortex (vmPFC) and ventral striatum (Levy & Glimcher, 2012 reach the same conclusion). Translating benefit into dollars is doing the vmPFC's job for him. Peer-reviewed meta-analysis; strong. Cross-ref: psychology / neuroscience.
• Hard evidence · concrete numbers anchor everything downstream: Tversky & Kahneman (1974, Science) — even a random number biases subsequent magnitude estimates. Whatever price for your value hits the table first frames the entire negotiation. Classic, repeatedly replicated; strong. (For how to set the anchor and who moves first, see the anchoring and concessions piece.)
• Mechanism · use his numbers, not your averages: this isn't mystical — he owns the numbers he told you and won't argue with them; industry averages you inject are trivially dismissed. Getting him to say the number himself lifts acceptance (same underlying dynamic as the pain funnel).

Edges: garbage in, garbage out. Inventing numbers means the first serious CFO tears you apart, and the blowback is worse than not quoting numbers at all. When real data is out of reach, quote ranges and flag "rough estimate" rather than reporting a false precise figure.

The same dollar packaged as "what you'll save" pulls less than the same dollar packaged as "what you're losing" — losses weigh roughly twice as much as equivalent gains, and the status quo enjoys a free inertia bonus on top. Unless you price that bonus explicitly, it wins by looking like zero.

• Hard evidence · losses weigh about 2× gains: Kahneman & Tversky (1979, Econometrica) prospect theory — the disutility of a loss is roughly twice the utility of the same-size gain. Neurally, Tom, Fox, Trepel & Poldrack (2007, Science) found the response in striatum and vmPFC for potential losses is steeper than for equivalent gains — "fear of losing" is literally louder than "hope of gaining." Behavioral + fMRI convergence; strong. Cross-ref: psychology / neuroscience.
• Hard evidence · the status quo carries a free inertia bonus: Samuelson & Zeckhauser (1988, J. Risk & Uncertainty) — the "status-quo bias" experiments show people systematically prefer defaults and no-change options even when a better alternative is on the table. Unless you put a visible price on the status quo, it wins by looking like zero. Peer-reviewed, repeatedly replicated; strong.
• Mechanism · the bleed has to be real: the loss frame only works because he believes the loss is actually happening. The moment a number is caught as scare tactics, loss aversion turns on you — what he remembers is "this rep tried to manipulate me," and people remember manipulation better than they remember products.

Edges: the loss frame is an amplifier, not a manufacturing plant — it magnifies costs that already exist and doesn't invent crises. "If you don't buy, next year is going to be dangerous for you" without data is where selling slides into manipulation (that boundary is drawn in the piece on the six principles of influence). If you truly can't compute a monthly bleed, that may just mean this deal isn't painful enough — don't force it.

B2B money is almost never decided by the one person in front of you — a group votes, and you're not there. What you can send into that room is whatever your champion is carrying. The cleaner and more concrete the page, the more credible your proposal looks.

• Hard evidence · easier to read = judged more true (processing fluency): Reber & Schwarz (1999, Consciousness & Cognition) and a series of follow-ups show that a claim easier for the brain to process — higher contrast, rhyme, clean layout — is rated more likely to be true; the truth hasn't changed, only the fluency. Alter & Oppenheimer (2009) survey the effect across dozens of studies. A clean one-pager literally earns credibility. Peer-reviewed; strong. Cross-ref: psychology.
• Industry data · it's a group, not an individual, that decides: Gartner / CEB research (Adamson, Dixon & Toman, The Challenger Customer, 2015) puts the average B2B purchase at about 6.8 stakeholders, with consensus difficulty correlating strongly with "no decision" outcomes. Heavily discount: vendor / consulting survey, not peer-reviewed, and the number shifts with definitions — treat as an order of magnitude, not a law. But the direction — "you're not there; you rely on an internal advocate" — is solid.
• Mechanism · the one-pager is ammo for your champion, not homework for you: it exists to serve his thirty seconds and his boss's follow-ups, so every number must have its source hanging off it so he can answer "where did this come from?" A number without a source in that meeting equals no number at all.

Edges: one page doesn't mean amputated — detail goes in an appendix; the page holds the approval-form bones. And don't let it become a flyer: one "industry-leading" or "empower" slips in and finance's trust drops. The more it reads like an internal memo and the less it reads like marketing, the more useful it is.

People run a defense against anything obviously a sales pitch — the bigger the exaggeration, the louder the defense, and the puffed portion doesn't just fail to add value, it drags the credible part down with it. Precise numbers, by contrast, carry a silent signal: "this was calculated, not made up."

• Hard evidence · precise numbers are believed more and adjusted less: Janiszewski & Uy (2008, Psychological Science) found precise anchors ($362,000) produce smaller mental adjustments than round ones ($350,000); Thomas, Simon & Kadiyali (2010) confirm the pattern in real housing-price data. So "$437k" both looks calculated and resists being cut. Peer-reviewed; strong. (Same underlying pattern as in the piece on anchoring and concessions.)
• Hard evidence · anything read as a pitch gets discounted: Friestad & Wright (1994, J. Consumer Research) persuasion-knowledge model — once people identify an attempt to influence them, they activate coping strategies and actively discount the claim. An inflated ROI is the strongest possible trigger. Theory plus extensive empirical support; strong. Handing over the discount yourself ("take it apart") disarms the defense.
• Mechanism · conservatism is a signal, not just a smaller number: saying "I've used a low estimate" transmits "I'm not afraid to be audited" — which itself lowers perceived risk on the other side. Same root as "dare not to sell" in the consultative selling piece: small acts of surrender buy trust.

Edges: precise ≠ fake-precise. Sprinkling decimals to look calculated, then not surviving one query from finance, is worse than reporting round numbers — precision must be the output of a real computation. And don't overdo conservatism to the point of erasing the actual value; the sweet spot is "credible lower bound," not "smallest number I can quote."