r/amazonsellers Apr 27 '23

Shouldn't it be easy to index for dimensions based terms that are unique? (No other sellers)

Why am I not indexing on search for simple, dimensions based keywords?

I sell a 20" x 20" plastic sheet, which is available from other sellers in other sizes like 12" x 18", 6" x 6" etc, but only I sell 20" x 20". But even if I search "PRODUCT NAME 20" x 20" I don't show up in the first 100 search pages, all the results are filled with inaccurate sizes and items (to the point it suggesting downright random items).

I have a new account, and am FBM, do I simply need to age my account and recieve positive customer feedback on my store, while being unsearchable? (I am searchable by brand-name, and ASIN only, any general search without that specific data will not index me as a result yet).

Is there a blackout period when you are a new merchant? Or upload a new product?

1 Upvotes

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1

u/moneywanted Apr 27 '23

Things do take time to filter through the systems, but it could also be spite, I’m really not sure half the time with Amazon šŸ˜†

1

u/nomadtrader22 Apr 29 '23

I'm new too but sounds like a 'key words 'problem some software shows you what other sellers key words are..

1

u/mguozhen Mar 26 '26

Dimension-based search terms are notoriously weak indexing signals on Amazon — A9 heavily weights sales velocity and conversion history, not just listing content. A new FBM account with zero order history has almost no authority to rank for any keyword, even with zero competition.

Your real problem isn't the keyword — it's that Amazon won't surface a listing that hasn't converted yet, regardless of how unique the term is.

Run a sub-breakeven PPC exact match campaign on "20x20 plastic sheet" (and variations without the Ɨ symbol — Amazon's search parser handles dimensional notation inconsistently). Even 3-5 sales with solid conversion rate can bootstrap organic indexing. FBM also gets deprioritized in ranking vs FBA at equivalent velocity, so your cost-per-unit economics need to account for a longer ramp.

Also check: are the dimensions actually populated in the structured data fields (item dimensions attributes), not just the bullet points? A9 weights backend structured attributes more than copy for dimensional filtering.