How to Build a Kakobuy Product Research System
A product research system turns scattered finds into comparable decisions. Instead of saving random links, track why each item is worth ordering and what could go wrong.
Why it matters
Good research reduces returns, sizing errors, duplicate purchases and surprise shipping costs. It also helps you remember why one seller looked better than another.
Practical workflow
- 1Create columns for product, platform, seller, price and link.
- 2Add size, color, batch or version notes.
- 3Record seller risk and recent QC evidence.
- 4Estimate shipping category and likely weight.
- 5Mark whether the product is ready, risky or rejected.
Buyer checklist
- Every row has a live source link.
- QC assumptions are written before buying.
- Seller alternatives are saved for expensive products.
- Shipping notes are added early.
- Final decision status is visible.
Mistakes to avoid
- Keeping only product names without links.
- Comparing prices without domestic freight.
- Forgetting why a seller was rejected.
Decision rule
A product is ready to order when the link, seller, option, QC expectation and shipping assumption are all documented.
Related tools and next step
Start from the spreadsheet template and use the product search page to find comparable research resources.