Frequently Asked Questions

No store linking required. Amzanalyst works only with publicly available review data — you submit an Amazon product link, and we fetch and analyze the buyer reviews for that ASIN. We never ask for Seller Central access, API keys, or your store credentials.

Sign up and get 100 free credits valid for 30 days, no credit card required. Scraping is billed per page, so 100 credits covers scraping several products. AI insight reports are billed separately at a fixed rate per report — generating one requires a subscription plan or credit pack. No hidden fees, and unused scrape credits are refunded when a task over-reserves.

Yes. We publish complete, anonymized sample reports produced by the same pipeline your own reports use — sentiment and pain-point analysis, core demands, competitor benchmarking, and listing suggestions, every conclusion anchored to verbatim buyer quotes. You can also download the evidence CSV sheets to check the underlying data.

Yes. Submit the parent product link and scraping covers the review pool of the listing including its variants; the report attributes reviews back to their real ASINs so you can compare variants side by side. Multi-ASIN comparison runs are also supported — submit several competitor ASINs in one run and get one merged benchmark report.

Yes. Reports export as PDFs whose first page is conclusions and recommended actions, and every finding is ranked by priority with verbatim buyer quotes as evidence — so non-Chinese-speaking factories and overseas R&D teams can act on it directly, without you re-summarizing anything.

No. Buyer reviews are public on the product page — no Seller Central account, API key, or store linking is needed. You only need a product link (or the ASIN); we detect the marketplace automatically and fetch reviews from the publicly available pages for that ASIN.

The reliable way is to let a structured pipeline do it: scrape a star-balanced sample of the listing's reviews, run sentiment and pain-point clustering over the verbatim text, then rank findings by severity with quotes as evidence — instead of eyeballing the average rating. Amzanalyst automates the whole flow: submit an ASIN and get a decision report in minutes.

Pasting works for a handful of reviews, but it breaks down past that: you first have to scrape and clean hundreds of reviews yourself, the sample you paste is whatever you could grab, and generic AI tends to summarize rather than cite — fabrications go unnoticed. Amzanalyst keeps every conclusion anchored to verbatim buyer quotes, ships the full labeled review data as CSV, and ranks findings by severity instead of vibes.

Yes. Submit your ASIN together with competitor ASINs in one run — you get one merged report comparing sentiment structure, pain-point themes, and rating distribution across all of them, each conclusion still anchored to verbatim quotes. Variant comparison works the same way when you want to compare sizes or colors of the same listing.