The Amazon CRO Audit Checklist: Find Where a Listing Leaks Sales
July 10, 2026 · 10 min read · Keplo
Most listing audits start at the wrong end: open the listing, list everything that could be prettier, produce forty recommendations. A CRO audit starts from the data, finds where the funnel leaks, and only then examines the parts of the listing that could cause that specific leak. It's faster, and the output is a ranked plan instead of a wish list.
Part 1 — The data triage (do this first)
- 1. Pull the funnel per query from Search Query Performance: impressions → clicks → cart adds → purchases, yours vs the market's, for your top queries.
- 2. Locate the leak stage. Click share below impression share → a grid problem (main image / price presentation). Purchase share below click share → a listing problem (gallery, A+, reviews, price). Both → work the grid first; it feeds everything.
- 3. Price the gap in dollars (sessions × gap × price) so ASINs compete for your attention on money, not on how annoying their listing looks.
- 4. Check the boring blockers before any creative work: is the ASIN in stock, winning its own Buy Box, Prime-eligible, and not suppressed? A conversion project on an ASIN losing the Buy Box is redecorating a closed store.
Part 2 — The grid check (CTR side)
- 5. Screenshot your top queries' results pages on mobile, logged out. Your tile competes here, at thumbnail size — judge it here.
- 6. Main image: Does the product fill the frame? Is the form factor (count, size, variant) instantly readable? Does it differentiate from the grid's sameness — or disappear into it? Compliant (pure white background, no badges/text)?
- 7. Title's first ~60 characters: on mobile the tail truncates — does the visible part confirm what it is and for whom?
- 8. Price presentation in the tile: coupon badge, strike-through list price, per-unit price — how does your offer read next to the neighbors?
- 9. Rating and review count vs the grid: below the neighborhood norm, shoppers pre-filter you out; the best image can't fully compensate.
Part 3 — The listing check (CVR side)
- 10. Gallery as a sales sequence: after the main image, do the next frames answer, in order: what does it do for me (benefit), will it fit/work for me (scale, spec), what's it like to own (lifestyle), why this one (comparison), how do I use it (how-to)? Or is it six angles of the same product on white?
- 11. Mobile-first reality check: open your listing on a phone. Images and the first bullets carry the whole sale there; if the gallery doesn't sell without the description, it doesn't sell.
- 12. Bullets: lead with the benefit, answer the objections that actually appear in reviews and Q&A, scannable in seconds. Keyword-stuffed walls of text convert nobody.
- 13. A+ Content: does it answer the real remaining objections (compatibility, sizing, ingredients, durability, returns) — or is it decorative banners? Comparison charts against your own range keep undecided shoppers in your brand.
- 14. Reviews: read the top ten by relevance. What objection repeats? That objection belongs answered in the gallery/A+ — and if it's a product defect, no creative fixes it; flag it honestly.
- 15. Price and offer: is the price coherent with the listing's perceived quality and the grid's range? Is there a per-unit framing, a multi-buy, or a coupon that changes how the same number reads?
- 16. Variations: are sizes/colors grouped so reviews consolidate and shoppers land on the right child? Split listings dilute rank; wrong-child landings bleed conversion.
Part 4 — From audit to plan
- 17. Match findings to leak stages. Grid findings fix CTR gaps; listing findings fix CVR gaps. Discard findings that don't map to a measured leak — they're opinions.
- 18. Rank by dollars, sequence by dependency. Usually: blockers → main image → gallery/A+ → copy → price presentation experiments.
- 19. Ship one change at a time and measure each — A/B test where eligible (how to run MYE properly), disciplined pre/post where not. An audit that ends in unmeasured changes was a decoration project.
This checklist is the manual version of what Keplo runs continuously — the data triage across every ASIN, the diagnosis, the creative production and the measured verdicts. Run it yourself quarterly, or have it run for you weekly.