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.

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What it installs

Agents 1

  • Pricing Strategist

    Recommends value-based pricing, a complete offer, and a validation plan.

Workflows 1

  • 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

  • Cost basis

    Your unit economics — the editable pricing inputs (costs, margins, current prices, guardrails) that set the floor for any recommendation.

Goals 1

  • 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.

Skills 4

  • 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.

  • 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.

  • 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.

  • 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

  • Pricing & offers

Requirements

What this template expects to do its job. Task Machine does not verify these — you decide whether your setup is ready.

  • 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.

Get started

Install Pricing & offer strategist and run it with approvals.

Join the waitlist and we will send early access when the first private beta spots open.

Private beta. We invite teams in batches and never share your email.