The number, and what it signalled.

Willingness-to-pay, pricing models and tiers, and the funnel constraints that quietly capped win rates. One of the fastest levers in the work, and the one least often examined.

The topic mark

Pricing and revenue

The mark for Pricing and revenue, as it appears on the Expertise and Work pages.

What it covers

Most teams anchored price to cost or a competitor. The work that changed the decision started with what the outcome was worth to the buyer and designed the model so the price carried part of the argument. It also meant being honest when price was fine and something else was doing the damage: price is the most common suspect and often the wrong one.

The diagnostic

Price is the most common suspect and often the wrong one. Ask why the last ten deals were lost and count how many answers mention the number. If it is fewer than half, the pricing problem is probably positioning or qualification wearing a price complaint.

Four moves, in order.

  1. 1

    Finding willingness-to-pay

    By segment: what the outcome was worth, not what it cost to produce.

  2. 2

    Designing the model

    Models and tiers, so the right buyer self-selected and the number itself signalled the value.

  3. 3

    Diagnosing the funnel

    Where win rate actually leaked, and whether price was the cause or the scapegoat.

  4. 4

    Testing the number

    Small, reversible moves with a real read on elasticity, in a business where a permanent change is very hard to walk back.

The question that remained

A price is judged before it is paid, and the judging happens somewhere no dashboard reaches. What a buyer concludes from a number, before they have used anything, is where this went next.