Design SaaS pricing tiers and monetization strategy

Helps design pricing and monetization strategy that captures value and aligns with customer willingness to pay, gathering business context (product type, current pricing, target market, go-to-market motion), value and competitive context, current performance (conversion rate, ARPU, churn), and goals before recommending anything - checking for existing product-marketing context first to avoid re-asking. It frames pricing around three axes - packaging (what's included per tier), pricing metric (what you charge for), and price point (the dollar amount) - and value-based pricing specifically: price sits between the next best alternative (the floor) and the customer's perceived value (the ceiling), with cost to serve only a baseline, never the basis. The value metric - what scales price with delivered value - gets tested with "as a customer uses more of this metric, do they get more value?"; common metrics are mapped to product types (per user/seat for collaboration tools like Slack, per usage for variable consumption like AWS, per feature for modular products, per contact/record for CRM/email tools, per transaction for payments/marketplaces, flat fee for simple products). Tier structure follows Good-Better-Best: an entry tier with core features and low price, a recommended "Better" tier as the anchor, and a premium "Best" tier at roughly 2-3x the Better price - differentiated by feature gating, usage limits, support level, or access (API, SSO, custom branding). Pricing research covers the Van Westendorp method (four questions - too expensive, too cheap, expensive but might consider, a bargain - whose intersections locate the acceptable price range) and MaxDiff analysis (ranking features by importance across sets to inform tier packaging). Price-increase readiness is read from market signals (competitors raising prices, prospects not flinching, "it's so cheap" feedback), business signals (conversion above 40%, churn below 3% monthly, strong unit economics), and product signals (significant value added, product maturity), with four increase strategies: grandfathering existing customers at the old price, announcing a delayed increase 3-6 months out, tying the increase to added value, or restructuring the plans entirely. Pricing page guidance covers above-the-fold essentials (a clear tier comparison, a highlighted recommended tier, a monthly/annual toggle, a CTA per tier), common supporting elements (feature comparison table, per-tier persona fit, FAQ, a 17-20% annual discount callout, money-back guarantee, trust signals), and four pricing-psychology levers: anchoring with the higher-priced option shown first, the decoy effect making the middle tier the obvious best value, charm pricing ($49) for value-focused positioning, and round pricing ($50) for premium positioning. A two-part checklist covers pre-pricing research (personas, competitor pricing, value metric, willingness-to-pay research, feature-to-tier mapping) and structure decisions (tier count, differentiation, research-backed price points, annual discount strategy, an enterprise/custom tier).

Use it when someone wants help with pricing decisions, packaging, tiers, freemium structure, a price increase, or monetization strategy, or mentions Van Westendorp, willingness to pay, or a value metric.

Input is business context (product type, current pricing, market, GTM motion), value and competitive context, and current performance metrics (ARPU, conversion, churn). Output is a value metric recommendation, a tiered pricing structure with differentiation logic, price-point guidance backed by research method (Van Westendorp/MaxDiff), and - when signals support it - a price-increase strategy.

Reads existing product-marketing context files before asking questions, and hands off to churn-prevention (cancel flows, save offers), cro (pricing page conversion), copywriting (pricing page copy), marketing-psychology, ab-testing, revops, and sales-enablement skills for adjacent work.

Founders and product/growth teams making pricing, packaging, or monetization decisions who want a structured value-metric and tier-design process backed by established pricing research methods rather than guessing at price points.