Open any decent acbuy spreadsheet and you’ll see 12–15 columns per row. New buyers panic at the density. Once you know what each column is for, it takes ~10 seconds to judge a row and decide whether to shortlist it.

Column 1 — Item

Plain-English name plus SKU. If the sheet only shows an image and no SKU, skip it — you can’t search the acbuy qc finder without a SKU.

Column 2 — Category

Nine top-level buckets. On the acbuy spreadsheet, category maps to the mega-dropdown on the homepage nav.

Column 3 — Batch tier

GP, GX, v3, LJR, GF, PK etc. This is the single most important column for shoes and bags. Two sellers can list the same Jordan 1 SKU but different batches — the price gap can be 3x.

Column 4 — Seller URL

Direct link to Weidian, Taobao or 1688. Copy this exact URL into your ACBUY dashboard.

Column 5 — Price (RMB)

Seller price in RMB. Add ~8 % agent fee to estimate the ACBUY invoice.

Column 6 — Price (USD)

Convenience conversion. The RMB column is authoritative — exchange rate moves.

Column 7 — QC album link

This is what separates the best acbuy spreadsheet from the rest. Direct link to fresh QC photos from previous buyers. If the column is blank, ask for a fresh sample photo before ordering.

Column 8 — Score / verdict

Rolling average from the last N QC albums. Anything under 7.5 is a skip. 8.5+ is safe. 9.0+ is a repeat-order candidate.

Column 9 — Last updated

If more than 60 days old, treat the row as stale until you’ve done a fresh QC finder pass.

Columns 10–15 — notes, tags, alternate batches, seller reliability, dead-row flags

Skim these. They’re the safety net that catches “seller stopped shipping” and “batch v3 dropped this week” kinds of intel.

A worked-through example

Row: “Jordan 1 Chicago L&F | Shoes | LJR v3 | [seller URL] | RMB 720 | $99 | [QC link] | 9.1 | 12 Jun 2026”. Read: modern LJR v3 batch, near-$100 total, QC scored 9.1 on the last 12 buyer albums, freshly updated. Verdict: shortlist it.

Ready to try reading a live row? Open the acbuy sheet and practice on any shoe row — the same column logic applies across every category. Bookmark the homepage for the QC finder guide.