Amazon Data Analysis: What to Measure and How to Turn It Into Decisions

Amazon data analysis means reading the numbers Amazon already gives you — sales, traffic, keywords, inventory, and competitor signals — and using them to make specific decisions about pricing, listings, ads, and stock. You do not need a paid tool to start: Seller Central's Business Reports and Search Query Performance cover most of the core metrics. Third-party tools such as AMZ Tracker (which offers a free trial and subscription plans) add keyword tracking, competitor monitoring, and inventory alerts, but they are an accelerator, not a prerequisite. This guide covers what each data category tells you, which metrics matter, and how to convert a finding into an action.

The five data categories and what each one answers

Each category is only useful when paired with a time comparison. A single day's conversion rate tells you almost nothing; the same metric week over week tells you whether a listing change worked.

Sales and traffic: the two numbers that explain almost everything

Sessions and conversion rate multiply to give you orders. When orders move, one of those two inputs moved first, and separating them tells you where to look.

• Sessions up, conversion flat or down — you are getting more traffic but not persuading it. Check whether the new traffic is coming from a broad or mismatched keyword, whether your price moved relative to competitors, or whether the main image and title still match the search intent.
• Sessions flat, conversion up — a listing, price, or review change is working. Note the date and keep the change; do not stack another edit on top before you can attribute the result.
• Both down — usually a ranking loss, a stockout, or a seasonal shift. Check buy box status and inventory first, then keyword rank.
• Conversion high but sessions low — the listing converts well for the people who find it. The constraint is visibility, so the lever is ads and keyword coverage, not listing copy.

Average selling price belongs in this same view. If units are flat but revenue is falling, discounting or a shift in which variation sells is the cause.

Keywords: evaluate by click and conversion share, not volume alone

Search volume tells you how many people search a term. It does not tell you whether they buy from you. Amazon's Search Query Performance report gives you click share and conversion share per query, which is far more actionable:

• High click share, low conversion share — your listing wins the click but loses the sale. The problem is usually price, reviews, or the detail page after the click.
• Low click share, high conversion share — when people do click, they buy. You are under-visible on a term that suits you; this is a strong candidate for ad spend and for confirming the term appears in your title or backend.
• Both low — the term is either irrelevant or you are buried. Check ranking position before spending on it.

Ranking position is a leading indicator: it moves before sales do, so tracking it weekly gives you earlier warning than waiting for the sales report.

Inventory: the metric that prevents both stockouts and storage bills

Days of cover = current sellable units ÷ average daily units sold (use a recent window, not lifetime). Compare that against your restock lead time plus a safety buffer.

• Days of cover below lead time — you will likely stock out. A stockout drops ranking and hands the buy box to competitors, and recovering rank often costs more than the margin you saved.
• Days of cover far above lead time — you are carrying slow stock and accruing storage fees. Consider a price or ad push, or plan removal before long-term storage fees apply.

Sell-through rate over a fixed period is the companion metric: it tells you how fast a batch moved, which is what you use to size the next order.

A simple weekly routine

1. Pull the Business Reports child-item view for the last 7 and 28 days. Record sessions, conversion, units, and revenue per SKU.
2. Flag any SKU where conversion moved more than a few points versus the prior period.
3. Check Search Query Performance for your top 10 queries. Note click share and conversion share changes.
4. Check days of cover for every SKU against its lead time.
5. Scan your top 3 competitors for price and review-count changes.
6. Write one action per flagged item, with a date, so next week you can tell whether it worked.

The discipline is the point: one change at a time, dated, so the next report tells you something.

Turning findings into actions

Returns deserve their own line: a rising return rate on a single ASIN usually means the listing promises something the product does not deliver, and no amount of ad optimization fixes that.

Where third-party tools fit

Seller Central gives you your own data. Tools like AMZ Tracker extend that with keyword rank tracking, competitor and market monitoring, and inventory alerts — useful when you manage many SKUs or need daily rank history that Seller Central does not retain. Choose one only after you have a working routine, so you know which gap you are paying to fill. AMZ Tracker offers a free trial and subscription billing via Stripe, so you can test whether its keyword and inventory monitoring match your workflow before committing.

The order matters: metrics first, decisions second, tools third. A tool that produces charts you never act on is more expensive than no tool at all.