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Real Lovegobuy Spreadsheet Examples from Successful Buyers

See how real buyers structure their lovegobuy spreadsheets. We share three anonymized examples from a casual shopper, a regular buyer, and a full-time reseller to inspire your own setup.

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Theory is helpful, but seeing real examples makes the concept click. We asked three experienced buyers to share screenshots of their actual lovegobuy spreadsheet setups, and then anonymized the data to protect their privacy. Each example represents a different use case: casual shopping, regular buying, and professional reselling.

Example 1: The Casual Shopper (3-5 items per quarter)

Sarah buys streetwear a few times per season. Her spreadsheet is intentionally minimal because complexity would discourage use. She uses 8 columns: Item Name, Link, Size, Color, Price (CNY), Price (USD), Status, and Notes. Her Status column uses simple dropdown values: Wishlist, Ordered, Shipped, Done. She keeps everything in one tab and uses conditional formatting to turn 'Done' rows green. Total setup time: 10 minutes. Weekly maintenance: 2 minutes.

ColumnSample DataWhy It Matters
Item NameNike Dunk Low PandaPrevents confusion with similar items
Linktaobao.com/item/xxxOne-click access to original listing
SizeUS 8 / EU 41Double-verified sizing prevents mistakes
StatusShippedAt-a-glance pipeline visibility
NotesAsk for extra QCReminders that do not fit other columns

Example 2: The Regular Buyer (10-15 items per month)

Marcus shops more frequently and deals with multiple agents. His lovegobuy spreadsheet has two tabs: 'Active Orders' and 'Archive'. The Active tab has 12 columns including Agent Name, Warehouse Location, and QC Photo Link. He uses the GOOGLEFINANCE formula for live exchange rates and a custom 'Days in Warehouse' column that calculates how long an item has been sitting. When an item hits 45 days, the row turns red automatically. He also tracks shipping methods and costs to optimize future hauls.

Example 3: The Reseller (50+ items per month)

Jordan runs a small resale operation with three repeat clients. His spreadsheet has five tabs: Purchases, Inventory, Sales, Clients, and Dashboard. The Purchases tab tags every item with a client name or 'Unassigned' for stock. The Inventory tab shows current stock levels using COUNTIF formulas. The Sales tab records every transaction with net profit calculated by a formula that subtracts all costs from the sale price. The Dashboard tab shows monthly revenue, profit margins, and best-selling categories. This system took 2 hours to build but now runs his entire business with 15 minutes of daily maintenance.

Key Takeaways from All Three Examples

  • Match complexity to volume — A casual shopper should not use a reseller-grade system. Complexity kills adoption.
  • Conditional formatting is universal — All three examples use color-coding because it is the fastest way to scan status.
  • Tabs separate concerns — As volume grows, use tabs to keep views focused instead of cramming everything into one sheet.
  • Formulas scale with you — Start with basic SUM and grow into advanced formulas as your needs expand.

Want to Build Your Own?

Follow our step-by-step guide to create a spreadsheet that fits your exact needs.

Follow our step-by-step guide to create a spreadsheet that fits your exact needs.

Frequently Asked Questions

QCan I use these exact setups?

Yes. The structures described are generic enough to adapt. We recommend starting with the closest example and customizing from there.

QWhat if my workflow is different?

These are starting points, not rules. Add, remove, or rename any column to match how you actually shop.

QShould I copy a reseller setup if I only buy casually?

No. Extra complexity that you do not need will slow you down. Start simple and add features only when you feel the pain of missing them.

QHow do I share these with a friend?

Describe the structure in your own words or share a view-only link to a template based on these examples.

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