Summary  
This chapter demonstrates how to programmatically generate a one-variable data table by iterating over a range of inputs, applying existing formulas to compute metrics, adding new calculated columns, and using conditional formatting to highlight key results.

General domain of usage  
Pricing strategy analysis



In this chapter, you turn your model into a decision tool.

Instead of testing one price at a time, you build a matrix that shows all possible outcomes at once.




Start by asking Copilot to reuse your existing profit logic.

Generate a table where the Proposed Price ranges from $18 to $30, and calculate Projected Monthly Profit for each value.

This transforms a single formula into a full view of price vs. profit.

Create the Pricing Matrix


Next, extend the matrix with subscriber data.

Add a Final Subscriber Count column that applies the same growth and churn logic to each price point.

Now each row shows both financial and customer impact.

Add Subscriber Impact


Use conditional formatting to make insights visible.

- Highlight the row with the highest profit in green;
- Highlight the row with the highest subscriber count in yellow.

This helps you quickly compare trade-offs.

Highlight Key Outcomes

Discover how to use Excel with Copilot to solve real business problems. Explore practical workflows that turn messy data into structured, reliable systems. Learn how to build models, automate calculations, and generate insights without memorizing formulas. Understand how to guide Copilot, validate its output, and keep full control over your logic.

Explore the core setup and habits for working with Copilot in Excel. You configure your environment, learn how to write clear prompts, and apply safe workflows before using Copilot on real data. You focus on testing, verifying results, and protecting your files. These skills help you avoid mistakes and use Copilot with confidence further.

Focus on turning messy, inconsistent datasets into clean and usable data. You standardize headers, split combined fields, fix mixed formats, and remove duplicates using Copilot. Consider real-world scenarios and apply structured workflows to clean data safely.

Discover using Copilot to work with clean data and turn it into insights. You extract values, connect multiple datasets, handle errors, and build dynamic summaries. Learn to describe tasks in plain language while Copilot generates and applies the formulas.

Learn how to present data in a clear and interactive way. Create PivotTables, add slicers, build charts, and apply conditional formatting to highlight key insights. Combine all elements into a structured dashboard and use Copilot to support analysis, formatting, and presentation. 

Build a forecasting model using assumptions, pricing scenarios, and 12-month projections. Test different outcomes, guide Copilot through complex logic, and turn your analysis into a clear, decision-ready recommendation.

Turn your work into a reusable, product-like spreadsheet. Clean raw data, combine multiple sources into a single system, build automated reports, and package everything into a polished template with instructions that anyone can use.

Building a Pricing Matrix