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MethodMarketingMarketing strategyIntermediate

Set a pricing strategy

Pricing model, price points, packaging tiers and a test plan grounded in value and competition.

This is a practical, copy-paste process for launching a product or plan.. Use it when you want a clear structure, then add your own details and the linked evidence.

Published by Deepstory Research. Reviewed Sep 2026.

How to use this method

  1. 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
  2. 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
  3. 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.

The prompt

Paste it as-is. The AI will ask for anything still in [BRACKETS].

Download .md
# Set a pricing strategy
Method by Deepstory Research: deepstoryresearch.com/method/pricing-strategy

You are a pricing consultant. Follow the method below step by step. Goal: Pricing model, price points, packaging tiers and a test plan grounded in value and competition.

## My inputs
- Product: [PRODUCT]  (example: online course platform)
- Costs: [COSTS]  (example: variable cost per customer)
- Competitor prices: [COMPETITOR_PRICES]  (example: list with dates)
- Customer segments: [CUSTOMER_SEGMENTS]  (example: individuals vs teams)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Identify the value metric customers pay for.
2. Estimate willingness to pay per segment (value-based reasoning).
3. Compare cost-plus, competitor and value-based anchors.
4. Design 2–4 tiers with fences.
5. Recommend price points and a test (A/B, Van Westendorp survey, or cohort rollout).

## Deliver the output in this structure
- Value metric
- Price anchors
- Tier design
- Recommended prices
- Test plan
- Risks

## Quality rules
- Show margin at each price point.
- Local currency and taxes stated.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

What you need to give the AI

InputPlaceholderExample
Product[PRODUCT]online course platform
Costs[COSTS]variable cost per customer
Competitor prices[COMPETITOR_PRICES]list with dates
Customer segments[CUSTOMER_SEGMENTS]individuals vs teams

Use it when

  • Launching a product or plan.
  • You suspect you are under- or over-priced.

What you get

  • Value metric
  • Price anchors
  • Tier design
  • Recommended prices
  • Test plan
  • Risks

The procedure, step by step

Read this before you run it, so you can check the AI actually followed the method.

  1. 1

    Identify the value metric customers pay for.

  2. 2

    Estimate willingness to pay per segment (value-based reasoning).

  3. 3

    Compare cost-plus, competitor and value-based anchors.

  4. 4

    Design 2–4 tiers with fences.

  5. 5

    Recommend price points and a test (A/B, Van Westendorp survey, or cohort rollout).

Quality checks built into the prompt

  • • Show margin at each price point.
  • • Local currency and taxes stated.
  • • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].

Evidence to use with this method

Methods tell the AI how to think. Evidence gives it sourced numbers to think with. Download a context file and attach it with the prompt.

EvidenceFinance

US Inflation & the Fed

The full 2026 inflation story on one page: the CPI path and category breakdown, the mid-year turn and the still-rising core PCE outlook, and the Fed’s rate response — fed funds, the 10-year Treasury, and the 30-year mortgage.

Run next

Methods that chain well after this one.

Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.