Real GTBuy Spreadsheet Examples from Successful Resellers

Alex processes 80-120 sneaker orders monthly across StockX, GOAT, and eBay.

His GTBuy spreadsheet has 20 columns across three tabs.

Tab one is Orders, with columns for Drop Date, Supplier, Sneaker Model, Size, Colorway, SKU, Retail Price, Proxy Cost, Shipping, Platform Fee, Cleaning Cost, Packaging, Total Cost, Target Resale, Listed Platform, Listed Price, Sale Price, Net Profit, and Notes.

Tab two is Profit Dashboard, with pivot tables showing profit by model, profit by size, and monthly trends.

Tab three is Inventory, tracking unsold pairs by location.

Alex says the breakthrough was adding the Platform Fee column.

He used to estimate fees at 10%.

Real fees averaged 14%.

That 4% difference was costing him $200-400 monthly on underestimated costs.

Maria runs an online boutique sourcing from overseas suppliers.

Her spreadsheet emphasizes supplier reliability and seasonality.

Her Orders tab includes Date, Supplier, Category, Product, Size Run, Color, Qty, Unit Cost, Shipping, Duties, Total Cost, Target Price, Listed Price, Days to Sell, Sale Price, Final Margin, Season Tag, and Return Rate.

She uses conditional formatting to highlight items that took more than 21 days to sell — these get flagged for discounting.

Her Suppliers tab scores each vendor on Speed, Quality, Communication, and Consistency.

Maria says the Season Tag changed everything.

She now knows that winter coats ordered in August sell by October, but ordered in October sit until January.

Her cash flow improved 30% after she timed her buys using seasonal data.

James dropships phone accessories and small electronics across three platforms.

His biggest challenge is warranty claims and return rates.

His Orders tab tracks Date, Supplier, Platform, Product, Condition Grade, Unit Cost, Shipping, Platform Fee, Return Shipping, Total Cost, Listed Price, Sale Price, Net Profit, Warranty Expiry, Return Status, and Customer Rating.

He created a Warranty Alert column using a formula that turns red when warranty expiry is within 30 days.

This prevents him from listing items with expired warranties.

James says the Customer Rating column is his secret weapon.

He imports ratings from his platform dashboards and links low-rated suppliers to higher return rates.

Two suppliers with low ratings accounted for 60% of his returns.

He dropped them and his return rate fell from 8% to 2%.

Despite different industries, all three resellers share common practices.

They all track true total cost, not just unit price.

They all update actual sale prices immediately.

They all use conditional formatting for visual alerts.

They all review data weekly.

And they all started simple, then added complexity only when their volume demanded it.

The lesson is clear: the best spreadsheet is the one you actually use.

Start with what matters most for your business.

Add features as you grow.

Let your data teach you what to track next.