---
type: method
slug: pricing-strategy
title: "Set a pricing strategy"
category: "Marketing"
subcategory: "Marketing strategy"
level: intermediate
source: https://deepstoryresearch.com/method/pricing-strategy
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- Launching a product or plan.
- You suspect you are under- or over-priced.

## Prompt

# 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.

## Evidence you can attach
- US Inflation & the Fed: https://deepstoryresearch.com/data/us-inflation-fed (AI context file: https://deepstoryresearch.com/context/us-inflation-fed.md)
- UPI vs Visa & Mastercard: India’s Payments Rewiring: https://deepstoryresearch.com/data/upi-vs-cards (AI context file: https://deepstoryresearch.com/context/upi-vs-cards.md)
- E-Commerce Share of US Retail: https://deepstoryresearch.com/data/us-ecommerce-share (AI context file: https://deepstoryresearch.com/context/us-ecommerce-share.md)
- Six-Economy Macro Baseline: https://deepstoryresearch.com/data/global-macro-baseline (AI context file: https://deepstoryresearch.com/context/global-macro-baseline.md)

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