Pricing prompt

Decide what
to charge.

Use this when you are deciding whether to raise, lower, or keep the price of a product or service. It helps an AI ask the right questions first, then research the market before giving you a recommendation.

Copy it into ChatGPT or Claude, answer the questions it gives you, and use the final recommendation as a starting point for a real pricing test.

The prompt

Select the text below, or use one of the buttons.

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# Should I Raise My Prices?

# Should I Change My Price?

Help me determine whether I should raise, lower, or keep the price of my product or service.

First, use anything you already know about me, my business, or my product. Then send me **all of the questions you need answered at once**, not one at a time.

Ask about things such as:

* What I sell and my current pricing
* My target customer
* How essential or optional the product is
* Competitors and substitutes
* How easy it is to switch
* Customer retention or repeat purchases
* Past reactions to pricing
* Costs and margins
* Previous price changes
* Customer feedback
* My goals: revenue, growth, market share, profit, etc.

Whenever possible, make questions multiple choice or give me clear answer options so I can respond quickly. **For each question, also tell me which answer you currently think is most likely based on what you already know about me, and briefly explain why.** I can then confirm or correct you.

After I answer, research my product, competitors, industry, target customers, comparable pricing, and any useful market data available online. Use that research together with my answers.

Then give me a clear analysis covering:

1. Whether my customers appear relatively **elastic or inelastic** and why.
2. What makes them more or less sensitive to price.
3. How my price compares with competitors and alternatives.
4. Whether I appear to be underpriced, fairly priced, or overpriced.
5. Whether I should **raise, lower, or keep my price the same**.
6. If I should change it, the specific price or price range you recommend.
7. How that change could affect customers, conversion, retention, total revenue, and profit.
8. The biggest risks or assumptions behind your recommendation.
9. A simple way to test the new price before rolling it out to everyone.

Finish with one clear recommendation: **what price I should charge, why, and what I should do next.**

Do not make up information. Clearly separate facts you found through research from assumptions or estimates.