As of 13 August 2026, AI can design good, better and best pricing packages.

What to actually do

1. Use a tool built for this

   The route this page recommends

2. Do it yourself

   Second choice

   A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

   How to actually do it

   1. Open your current price list, product description, delivery process and recent sales or enquiry records.
   2. Gather the direct cost of serving one additional customer, relevant fixed costs, capacity limits, minimum margin requirements and any existing discounts.
   3. Collect verified customer evidence such as interview notes, survey responses, common objections and the features customers already ask for.
   4. Paste the gathered information into the prompt, leaving any unknown field marked as unknown rather than asking the model to fill it in.
   5. Ask the model to produce the three tiers, the calculations, the assumptions, the risks and the pre-publication questions specified in the prompt.
   6. Copy the proposed package table into a spreadsheet and compare every price and margin calculation with your own figures.
   7. Ask customers, sales staff or colleagues to react to the tier names, differences and likely choice before publishing the packages.
   8. Run one agreed package test using your normal sales channel, then compare the result with your existing offer before changing the live price list.

   Prompt

   Design good, better and best pricing packages for my business using only the information I provide. Do not invent costs, customer research, competitor prices, features or demand. Use pounds sterling and show all calculations clearly.
   
   Business and offer: [describe what I sell and how it is delivered]
   Target customers: [describe the main customer groups and their needs]
   Current prices: [paste current prices, if any]
   Direct delivery costs: [list the costs that change when I serve one more customer]
   Fixed costs or constraints: [list relevant costs, capacity limits, staffing limits or minimum margins]
   Customer evidence: [paste sales data, interview notes, survey results or objections]
   Competitor information: [paste verified competitor details, or write none]
   Commercial objective: [for example, improve clarity, raise average order value, or create an entry-level option]
   
   Produce:
   1. A comparison table for good, better and best, including the target customer, promise, features, exclusions, delivery effort and proposed price.
   2. The calculation and assumption behind each proposed price. If the evidence is insufficient, mark the price as a hypothesis rather than presenting it as a fact.
   3. A clear reason to choose each tier and the likely risk of each tier.
   4. A version with the smallest practical number of differences between tiers, so the offer is easy to sell and deliver.
   5. Five questions I must answer before publishing the packages.
   6. Three low-cost tests to assess demand before making the prices permanent.
   
   Separate facts from assumptions and recommendations. Flag any missing input that could materially change the result. Do not claim that any package will increase sales or profit without evidence.

   Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

3. Hand it to a person

   The distant third

   A person who owns the outcome does this end to end, worth it when the failure is dear.