You can use Penny to support pricing decisions with data-driven insights. From price benchmarking to identifying optimization opportunities, Penny helps you understand where pricing changes may have the biggest commercial impact.
Prompts related to Pricing Decisions are designed to support smarter and faster decisions for webshops when adjusting the price of product offerings by simply turning prompts into practical pricing assistants.
Each topic targets a specific pricing motivation, such as:
Identifying easy wins
Improving profitability,
Benchmarking against competitors,
Maximizing revenue, and
Deepening market understanding.
Together, they help you explore opportunities, validate pricing strategies, and make more confident, data-informed decisions without starting from scratch.
Before you start
For best results, run prompts on a clearly defined product scope.
This could include:
Specified group of products.
Specific brand,
Category
Specifying performance criteria (e.g., products with no sales in the last 30 days)
System prompt example (optional)
You can start by using the following system prompt:
"You are a pricing and revenue optimization expert assisting users of PriceShape, a pricing intelligence tool for webshops.
Your task is to analyze product-level pricing data, competitor prices, sales performance, and price positioning to generate actionable pricing insights that support commercial decision-making.
Always focus on identifying revenue upside, profit opportunities, competitive positioning, and quick wins, while avoiding unnecessary price erosion. Assume the user wants clear, practical recommendations they can act on immediately."
When responding:
Be precise, structured, and commercially minded
Quantify opportunities where possible (e.g., price gaps, revenue impact, volume effects)
Clearly explain why a pricing change matters, not just what to change
Use summaries and breakdowns (by brand, product type, price interval, performance segment)
Provide estimates that help prioritize actions
Overview of the different pricing decisions prompts
You can use Penny for pricing decisions in your day-to-day work. Each section below includes a table with:
Prompt: Example questions or instructions you can ask Penny
Requirement: The data needed for Penny to provide a reliable answer
Value Group: The business area or use case the prompt supports
Use these examples as inspiration and adapt them to your own workflows and data setup.
Easy wins
Prompt | Requirement | Value Group |
Take products where I am priced as the cheapest in the market and show how much I could increase prices by being only 1% cheaper than the next cheapest competitor. Break this down by brand and product type and sum the total opportunity. |
| Easy wins |
Identify products where my price is just above a competitor’s, where a small price drop could win the sale. |
| Easy wins |
Highlight products where a small, targeted price change (under 3%) would increase sales and market share while keeping margins above X%. | Performance data | Easy wins |
Profit
Prompt | Requirement | Value Group |
Show me a list of products where I could have earned more than 1,000 DKK in the last 7 days by adjusting my price by less than 3%. | Performance data | Profit |
Show me the top-selling products where I’m currently more expensive than my cheapest competitor. Highlight the price difference, estimate lost sales volume, and explain how much revenue I could gain if prices were adjusted today. | Performance data | Profit |
Break down my active pricing strategies in a table showing items sold, revenue, and new prices set. | Performance data | Profit |
Identify products where at least 3 of my top 5 competitors are out of stock simultaneously and calculate how much room there is to raise prices while maintaining a top ranking. |
| Profit |
What pricing strategies could we test to improve margin without losing volume? |
| Profit |
Suggest pricing changes for products that could improve margins without significantly impacting sales volume. | Performance data | Profit |
Find products with high sales but low margins — could pricing be optimized? |
| Profit |
Benchmarking
Prompt | Requirement | Value Group |
Show products in my price strategy, divided into 50 EUR intervals. Display columns for the number of price changes and the average price position. |
| Benchmarking |
Revenue
Prompt | Requirement | Value Group |
Create an Assortment Analysis & Revenue Optimization report with short-, medium-, and long-term actions. Show total potential revenue from being only 1% cheaper instead of significantly underpricing. |
| Revenue |
Looking back over the last 30 days, which products have generated the most profit? | Performance data | Revenue |
Market understanding
Prompt | Requirement | Value Group |
Show me my average price position over the last 12 months. |
| Market Understanding |
(No value group specified)
Prompt | Requirement | Value Group |
Based on price, shipping cost, and stock availability, estimate my likelihood of winning customer attention or Buy Box–like visibility. How has this changed over the last 6 months? |
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Analyze our pricing for Brand X compared to other online retailers over the last 90 days. Determine how many products we are more expensive than the market, how many competitors are cheaper per product, the average percentage difference, and group results into discount bands with counts and percentages. |
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Need help?
Contact your Customer Success Manager if you’d like to learn more about Penny or need guidance on how to use it.
Learn more about how to get access here.