Most spreadsheet sessions go wrong because the first click is too easy. One saved row becomes five product pages, then ten tabs, then a mixed pile of shoes, hoodies, bags, accessories, and sellers you cannot compare fairly.

Read a Kakobuy spreadsheet as a research list, not as a finished buying list. Some rows are useful leads. Others are old, copied, unclear, duplicated, or missing the evidence you need. Your job is to reduce the list before you judge the product pages, QC photos, seller notes, and shipping context.

What a Kakobuy spreadsheet is useful for

A spreadsheet can help you discover product ideas, Kakobuy product links, store links, Taobao links, Weidian links, 1688 links, Yupoo clues, seller names, prices, notes, and category clues. It is useful because it gathers leads in one place. It is risky because a row can look convincing even when the product page has weak photos, missing sizing, or no clear reason to choose it.

Use the sheet to find candidates. Use Findsindex pages, category results, product photos, warehouse photos, QC images, and seller details to decide whether those candidates still deserve attention.

A simple keeper rule

Keep a row only when you can explain what you would compare it against. If there is no comparison point, the row is just another link.

Step 1: Turn vague rows into product types

Before you care about brand names or low prices, decide what the item is. Shoes, hoodies, jackets, pants, bags, watches, jewelry, hats, electronics, and accessories should not compete in the same pass.

  • Use the closest category when the title is clear.
  • Use a parent category when the title is broad or translated poorly.
  • Skip the row for now if you cannot tell what product type it belongs to.

Step 2: Search the phrase that matches the item

Your wording should describe the product, not just repeat the label someone used in the sheet. A row called "summer top" may need a broader category pass. A row with a store link or PI code can go straight into search. A row with a clear product name can be checked against similar Findsindex results.

If the search results feel noisy, narrow by item type first. A product name plus "hoodie," "bag," "sneaker," or "watch" usually gives you a better comparison set than a brand-only search.

For a fast first pass, try the row title, the item name, the product ID, the PI code, the store name, or the source link. These inputs are better than guessing because they keep the Kakobuy product search tied to the evidence already in the spreadsheet.

Step 3: Check the evidence before price

Low prices are tempting, but price should not carry the decision by itself. First look for product photos, sizing, color options, material notes, weight, seller context, and whether the product page actually explains what is being sold.

  • For shoes, check sizing, sole photos, shape, and multiple angles.
  • For clothing, check fit, fabric weight, print detail, and size chart clarity.
  • For bags, check hardware, inside photos, stitching, dimensions, and scale.
  • For electronics, check compatibility, version, charging type, and box contents.

Step 4: Remove duplicates with weaker proof

Two rows can look different but point to the same kind of product. Keep the row with stronger evidence: clearer photos, better title detail, useful sizing, a seller page you can inspect, or nearby options that support the price.

When neither row gives you enough information, do not force a winner. Move both to a later-check pile and keep browsing the category.

Step 5: Keep a shortlist you can understand tomorrow

Your final list should be short, scannable, and easy to return to. Save the product type, link, price if it matters, parcel weight or shipping estimate if available, why the row survived, and what still needs checking. A good note is plain: "clear sizing," "better photos," "bag hardware visible," or "seller has similar category items."

Common beginner mistakes

  • Opening every link before choosing a category.
  • Comparing unrelated items because they came from the same sheet.
  • Trusting a row because it was saved by someone else.
  • Keeping weak duplicates because the price is slightly lower.
  • Leaving no note about why a product survived.