Pricing & offer strategist
On assignment, a pricing strategist turns your packaging context into value-based pricing recommendations, an offer structure, and a willingness-to-pay test plan for you to approve.
Saves you ~4.3 h / run
How it works
- Trigger
- When you start the “Pricing & offer strategy” workflow.
- Job
- Gather context, recommend a value-based change, design the offer, draft a validation plan.
- Outcome
- A tested pricing and offer recommendation with assumptions, evidence, and approval points.
What it installs
Agents 2
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Pricing Strategist
Recommends value-based pricing, a complete offer, and a validation plan.
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Pricing & offer strategist Quality Reviewer
Checks primary evidence, domain controls, deliverable completeness, and communication quality, stopping the run when the work is wrong, unsupported, incomplete, or uncertain.
Teams 1
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Pricing & offer strategist quality team
The delivery agents produce the work while an independent quality reviewer checks each workflow handoff against explicit evidence, domain, and communication requirements before the run can continue.
Workflows 1
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Pricing & offer strategy
Gather context, recommend a value-based change, design the offer, draft a validation plan, self-critique, then hand off for approval.
Documents 1
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Cost basis
Your unit economics — the editable pricing inputs (costs, margins, current prices, guardrails) that set the floor for any recommendation.
Goals 1
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Pricing aligned with value
Keep pricing aligned with delivered value and willingness to pay, revisited on a 6–12 month cadence and moved one validated lever at a time. Success looks like: An approved, value-based pricing recommendation that clears the margin target on every tier, with a runnable willingness-to-pay validation plan and a defined date to revisit pricing.
Skills 4
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pricing
Designs value-based SaaS pricing across the three axes (packaging, value metric, price point), good-better-best tiers, WTP research (Van Westendorp, MaxDiff), price-increase strategy, and pricing-page best practices. Adapted from coreyhaines31/marketingskills/pricing.
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offers
Constructs the offer itself — value-equation diagnosis, the six-part offer anatomy (core, bonuses, guarantee, scarcity, name, payment), honest scarcity and guarantee design — for services, courses, coaching, and high-ticket B2B. Adapted from coreyhaines31/marketingskills/offers.
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pricing-strategy
Applies practitioner pricing principles from 46 product leaders: price as a measure of value/WTP, never set-and-forget, the self-serve ceiling, sampling premium in free, and roadmap prioritisation by willingness to pay. Adapted from refoundai/lenny-skills/pricing-strategy.
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monetization-strategy
Brainstorms 3–5 distinct monetisation models (freemium, subscription, usage, seat, one-time, marketplace, ads) with audience fit, unit economics, risks, competitive position, and a low-cost validation experiment for each. Adapted from phuryn/pm-skills/monetization-strategy.
Folders 1
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Pricing & offers
Requirements
- Web research for competitor and willingness-to-pay anchors — The agent researches competitor pricing pages and public benchmarks on the web to anchor its recommendations; until you connect it, it reasons from the pricing model, cost basis, and any willingness-to-pay signals you attach.
Setup guide
How to Build Pricing and Offer Strategy
A practical guide to value-based pricing, offer structure, margin checks, willingness-to-pay tests, and approval.
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