A framework for designing the product around the price, distilled from Simon-Kucher partners Madhavan Ramanujam and Georg Tacke's Monetizing Innovation. Use it to validate willingness to pay before building, dodge the four monetization failures, segment customers by value, package features into tiers people actually want, choose the right monetization model, and price with behavioral science instead of gut feel.

Design the product around the price — have the willingness-to-pay talk early. 72% of new products miss their revenue targets, and the common root cause is treating price as an afterthought: build first, guess a number at launch. Price is a measure of how much customers value what you are building, which makes it the best early signal of whether to build it at all. Test willingness to pay at the concept stage and let it shape scope, segments, packaging, and the business case.

Goal: 10/10. Rate pricing and packaging decisions 0-10 against the principles below. Report the current score and the specific changes needed to reach 10/10.

Core concept: Have the willingness-to-pay talk while the product is still a concept — before specs freeze, before the business case is locked, before code is written. You are not setting the final price; you are measuring whether customers value the idea, how much, and which parts of it. Those answers shape what gets built and for whom.

Why it works: WTP data turns pricing from a launch-week guess into a design input. If customers will not pay enough to sustain the product, you learn it while change is cheap; if they will pay far more than assumed, you build the premium version instead of leaving money on the table. The business case stops being hockey-stick fiction and becomes a testable claim you maintain as a living document.

Ethical boundary: WTP research exists to match price to delivered value — not to find each customer's maximum pain and extract it.

See references/wtp-conversations.md before you run interviews: the exact question scripts (direct, purchase-probability, acceptable/expensive/prohibitive), the simplified-conjoint procedure, sample sizes for B2B vs B2C, how to read the answers, and how to turn a WTP range into specs.

Core concept: Monetization disasters come in four types. Feature shock: cramming too much into one product until complexity and cost destroy value. Minivation: the right product priced too timidly, leaving money on the table. Hidden gem: a game-changing product the organization never recognizes or monetizes. Undead: a product nobody wants, kept alive past the evidence. Every struggling product is drifting toward one of these.

Why it works: Naming the failure mode turns a vague "sales are soft" into a specific countermeasure: cut the feature pile, raise the price, give the gem an owner, or kill the zombie. The same WTP research that would have prevented each failure is also how you diagnose it — the diagnosis is testable, not a matter of opinion.

Ethical boundary: "Kill the undead" applies to products, never to evidence — massaging research to keep a favorite alive creates the next undead.

See references/four-failures.md when a product is underperforming and you need to classify it: symptom checklists, root causes, the matching countermeasure, and a worked example for each of feature shock, minivation, hidden gems, and undead, plus a classification decision tree.

Core concept: Customers differ in what they need and what they will pay, so a single offer at a single price overcharges some and undercharges the rest. Segment by needs, value, and WTP — not by demographics or firmographics — and design a distinct offer for each segment worth serving.

Why it works: Averages lie: a market with average WTP of $50 may contain nobody who would pay $50 — half value the product at $20, half at $100. One $50 product loses both halves. Segment-specific offers recover the high end's money and the low end's volume, and the segmentation tells sales who they are talking to before the demo starts.

Ethical boundary: Differentiate prices by value delivered and offer differences — never by exploiting captivity or protected characteristics.

See references/wtp-conversations.md (the "Build the WTP curve, not the average" section) when your interview data is in hand: reading cliffs and plateaus to find segments, why the mean of a bimodal market describes a customer who does not exist, and the worked WTP-curve example.

Core concept: Classify every feature as a leader (drives the purchase decision), a filler (adds modest value), or a killer (actively reduces WTP if customers are forced to pay for it). Build good-better-best tiers around leaders, use fillers to round out and differentiate, and pull killers out into add-ons — or out of the product.

Why it works: Leaders give each tier a reason to exist; a premium tier anchors the middle as reasonable; a single killer left in a bundle gives buyers a reason to reject the whole thing, not just that feature. The same features, packaged differently, can double or halve revenue.

Ethical boundary: Fence tiers on value added, never on essentials held hostage — security, privacy, and data export belong in every tier.

See references/packaging-tiers.md when you are slotting features into tiers: the leader/filler/killer scoring procedure, good-better-best design rules, a feature-allocation matrix, tier naming, upgrade paths, the bundling checklist, and pricing-page implications.

Core concept: How you charge matters as much as how much: subscription, usage-based, freemium-fed, dynamic, or outcome-based — and within the model, the price metric (per seat, per gigabyte, per transaction, per outcome). Pick the metric that tracks delivered value, then the model that matches how customers consume and pay.

Why it works: The same product at the same average price succeeds or fails on model alone, because the model allocates risk and aligns cash flow with value. A metric that tracks delivered value grows revenue automatically as customers succeed; a mismatched metric — per-seat pricing for a product whose value is per-transaction — caps upside and breeds resentment at renewal.

Ethical boundary: Pick metrics customers can predict and audit — a surprise bill monetizes confusion, not value.

See references/monetization-models.md when you are choosing how to charge: when each model wins (subscription, usage, hybrid, freemium, dynamic, outcome-based), the failure mode of each, how to choose the price metric, and how to migrate between models without churning your base.

Core concept: Customers do not compute value; they perceive it in context. Anchors, the compromise effect, decoy options, and price endings shape that perception — and after launch, disciplined communication and patience protect the price you set. Decide in advance how you will respond to underperformance so week-one fear never sets strategy.

Why it works: WTP is constructed at the moment of choice: the same $79 plan reads as expensive alone and as reasonable next to a $199 anchor. And because launches wobble before they converge, teams without pre-agreed triggers panic-discount in week one — permanently resetting price perception to fix what was usually an awareness or packaging problem.

Ethical boundary: Behavioral tactics must frame real value, never manufacture it — anchors, decoys, and endings become deception the moment the claims behind them are false.

See references/case-studies.md to watch the whole framework run end-to-end on three companies: flat-to-tiered repricing after WTP interviews surfaced three segments, catching feature shock pre-launch when the WTP curve stayed flat as scope grew, and fixing a 1.1% freemium conversion by moving the leader behind the paywall.

Madhavan Ramanujam is a board member and partner at Simon-Kucher & Partners who has led hundreds of monetization projects and advised many of Silicon Valley's unicorns on pricing. Georg Tacke was co-CEO of Simon-Kucher, the world's largest pricing and monetization consultancy, with three decades advising executives worldwide. Together they distilled the firm's methodology into Monetizing Innovation.