Build Your Own Litbuy Spreadsheet

Start by opening Google Sheets or Excel and creating a new blank spreadsheet. The first row should contain your column headers. Recommended columns are: Date Added, Product Name, Brand, Category, Original Price, Sale Price, Discount Percentage, Store Link, Notes, and Status. These ten columns capture all the information you need for effective deal tracking.

In the Discount Percentage column, add a formula that automatically calculates savings. In Google Sheets, the formula is: =ROUND(((OriginalPrice - SalePrice)/OriginalPrice)*100, 1)&"%". This instantly shows the discount percentage whenever you enter original and sale prices. Copy this formula down the entire column so every new row automatically calculates.

Apply conditional formatting to make deals visually scannable. Set green background for rows where discount exceeds 40 percent, yellow for 20 to 40 percent, and red for below 20 percent. In Google Sheets, select the Discount Percentage column, go to Format > Conditional Formatting, and create color rules based on cell values. This visual coding makes your spreadsheet as easy to scan as the official litbuy tool.

Create a separate sheet tab for each category you shop regularly. Common tabs include Shoes, Hoodies, T-Shirts, Jackets, Pants, Accessories, and General. Use the first sheet as a master list that pulls the top deals from each category tab using QUERY or IMPORTRANGE functions. This multi-sheet structure mirrors the official litbuy spreadsheet category organization.

Add data validation dropdowns for the Category and Status columns. Categories should match your tab names. Status options should include Active, Expired, Purchased, and Wishlist. Data validation keeps your entries consistent and makes filtering easier later.

Set up an automatic date stamp using the TODAY() function in the Date Added column. This helps you identify stale deals that may have expired. Create a filter view that hides deals older than 14 days so you only see current opportunities.

For advanced users, connect your spreadsheet to web data using IMPORTXML or Google Apps Script. You can pull live prices from OOCBuy product pages directly into your spreadsheet. This requires basic coding knowledge but creates a semi-automated deal tracker that updates itself. Be respectful of website rate limits and terms of service when scraping data.

Finally, add a dashboard sheet with summary statistics. Use COUNTIF formulas to show how many active deals you have per category. Use AVERAGE to calculate your average discount percentage. Create a simple chart showing deals by category. This dashboard gives you a bird's-eye view of your deal pipeline.