Guide
How to use a Fansbuy spreadsheet without letting one row make the decision
A spreadsheet is useful because it puts many finds in one place. The weak point is context: a row can look good until you check the live listing, the photos, the size notes, or whether better alternatives are sitting in the same category.
Use the sheet as a map, not a promise
Think of a Fansbuy spreadsheet as an idea board. It is good for discovery: product names, rough price ranges, style ideas, seller clues, and quick links. It is not good at proving that the item is still available or that the row has enough detail to trust. The row should point you toward research, not replace it.
A useful row answers three questions quickly: what is the product, what evidence supports it, and why is it worth keeping instead of comparing against a current alternative?
Read every row in four passes
Do not click every link in order. A simple pass system keeps the sheet useful and stops you from opening twenty tabs with no plan.
- Category pass: name the product type before judging it. Shoes, clothing, bags, accessories, and electronics all need different checks.
- Evidence pass: look for photos, size notes, variant notes, seller detail, or any sign that the row is more than a copied title.
- Freshness pass: treat old or reposted links carefully. Listings change, variants disappear, and thumbnails can stop matching the live page.
- Comparison pass: open one similar item from the matching category before saving the row. If the row still looks strong, it has earned a place.
Start with the item type, not the link
Before opening a row, describe the item in plain language: trainer, hoodie, crossbody bag, cap, accessory, gadget. That one step changes what you should inspect. Shoes need shape, sole, and sizing checks. Clothing needs measurements, fabric photos, and colour consistency. Bags need hardware, strap, zipper, and capacity checks.
Use category pages when the row is vague
If a row only gives you a title and a price, it is probably not enough. Open the matching FindsIndex section and compare it against similar items. You are looking for better photos, clearer naming, current variants, and signs that the listing still matches what the spreadsheet promised.
Check photos before names
Names are easy to copy. Photos take more work to fake well. A better find usually has multiple angles, useful close-ups, and enough detail for the product type. For shoes, look for shape, sole, stitching, heel, and label photos. For clothing, look for measurements, fabric texture, tags, seams, and how the colour looks in more than one image.
Do not confuse popularity with suitability
Some rows stay popular because they are shared often, not because they are still the best choice. A reposted link can be useful, but only after you check whether the item is still live, whether variants match the original note, and whether the photos support what the row claims.
Watch sizing, variants, and total cost
UK users should slow down around sizing and final cost. Shoes can use different size systems. Clothing can look right in photos but fail on shoulder width, length, or sleeve measurements. Heavy or bulky items can also become less attractive once shipping is considered. A low item price is not a full comparison.
Common red flags
- The row has only a title, price, and one image.
- The category does not match the item description.
- The live page shows different photos or missing variants.
- There are no measurements for clothing or no clear size guidance for shoes.
- The product looks strong only because it appears near the top of a shared sheet.
Build notes that make the shortlist useful
Opening every row is the fastest way to create another messy sheet. Save fewer items and write a reason beside each one. Notes like clear sizing, better photos, correct category, compared with two similar finds, or current variant available make your shortlist useful later.
A simple workflow
- Scan the spreadsheet for item types, not just attractive names.
- Pick one category and compare several current options there.
- Reject weak rows quickly when photos, sizing, or variants are unclear.
- Save only the finds that still make sense after one comparison.
- Stop when the shortlist has enough evidence to decide, not when every tab has been opened.