How to Do Amazon Product Research: A Step-by-Step Guide for Sellers

Finding a product to sell on Amazon can look simple from the outside. Find something popular, source it for less, list it on Amazon, and make a profit.

In practice, there is much more to consider.

A product may generate thousands of sales and still be a poor opportunity for a new seller. Competition may be too strong. Advertising costs may reduce the margin. Shipping may be expensive. The market may be seasonal. Established listings may have thousands of reviews, or the selling price may be falling every month.

Good Amazon product research helps you identify these problems before you place a large inventory order.

Instead of asking only, "Is this product selling?", research should answer several questions:

• Is there enough customer demand?
• How strong is the competition?
• What prices are customers currently paying?
• Can the product leave a reasonable profit after costs?
• Is demand spread across several sellers or controlled by a few listings?
• Is the market stable or seasonal?
• What are customers unhappy about?
• Is there a realistic way to make your offer different or better?

This guide walks through a practical process for researching Amazon product opportunities.

What Is Amazon Product Research?

Amazon product research is the process of collecting and comparing information about products, customers, competitors, prices, sales activity, keywords, costs, reviews, and market trends.

The goal is not simply to discover products with high sales.

The goal is to find opportunities where demand, competition, costs, and profit make sense together.

For example, imagine two products.

Product A appears to sell 5,000 units per month, but the leading listings have tens of thousands of reviews, large advertising campaigns, low prices, and well-known brands.

Product B may sell only 1,500 units per month, but customer demand is divided between many sellers, competitors have weaker listings, prices are stable, and estimated margins are healthier.

Product A has more demand. Product B may still be the better opportunity.

That is why no single metric should decide whether you launch a product.

Why Amazon Product Research Matters

Launching inventory requires money before you know exactly how customers will respond.

You may have sourcing costs, samples, packaging, freight, customs, Amazon fees, storage, photography, advertising, returns, and other expenses. A weak product decision can therefore become expensive quickly.

Research cannot guarantee that a product will succeed. Amazon marketplaces change, competitors react, advertising costs move, and customer behavior is never perfectly predictable.

Research can, however, help you make decisions with more information.

A strong process can help you reject weak ideas early and spend more time investigating products with better potential.

Step 1: Start With a Product Idea or Market

There are several ways to begin Amazon product research.

You might already have a product idea from your own experience. You may notice growing customer interest in a niche. You could find products while browsing Amazon categories or discover opportunities by studying competitors.

At this stage, avoid becoming too attached to one idea.

Your first product idea is a starting point, not a decision.

Build a shortlist of possible products and compare them using the same research process. This makes it easier to judge an opportunity based on evidence rather than excitement.

Look for products that have clear customer demand and enough competing listings to provide useful market data.

Step 2: Check Customer Demand

The next question is simple: are people buying products like this?

Amazon does not provide sellers with exact unit sales for every competing listing, so product research often uses several demand signals.

These may include:

• Best Sellers Rank (BSR)
• Estimated monthly sales
• Estimated monthly revenue
• Keyword search demand
• Review activity
• Category position
• Historical performance

One demand signal by itself can be misleading.

For example, a product can have an attractive BSR because of a temporary increase in sales. Search volume can rise because of seasonal demand. Revenue can look impressive because the product has a high selling price rather than high unit sales.

Compare multiple signals before drawing a conclusion.

Step 3: Understand Amazon BSR

Amazon Best Sellers Rank is one of the most common metrics sellers encounter during product research.

BSR shows a product's sales rank within an Amazon category or subcategory. In general, a lower BSR means stronger recent sales performance within that category.

A BSR of 2,000 is therefore generally stronger than a BSR of 20,000 in the same category.

The important words are "in the same category."

You should not treat BSR as a universal score across Amazon. Different categories have different sales activity. A particular BSR in one category may represent a very different sales level in another.

BSR also changes over time.

For product research, it is better to consider rank as one demand signal rather than searching for a single "perfect BSR."

Step 4: Estimate Sales and Revenue

Sales estimates can help turn rank and market activity into easier numbers to compare.

For example, if competing products appear to sell between 500 and 1,500 units each month, you can begin to understand the size of the market.

Revenue estimates add selling price to the picture.

A basic calculation is:

Estimated Monthly Revenue = Estimated Monthly Units × Average Selling Price

If estimated sales are 800 units per month and the product sells for $30:

800 × $30 = $24,000 estimated monthly revenue.

This does not mean the seller makes $24,000 in profit.

Revenue and profit are very different numbers.

The seller still has product costs, Amazon fees, freight, advertising, storage, returns, taxes where applicable, and other expenses.

It is also important to remember that competitor sales figures are usually estimates. Use them to compare opportunities and understand market size rather than treating them as exact accounting records.

Step 5: Study the Competition

High demand is attractive only if you have a realistic way to compete for some of that demand.

Search for the main keywords customers would use to find the product. Then review the listings that repeatedly appear near the top of the results.

Look at factors such as:

• Number and quality of competing listings
• Review counts and ratings
• Prices
• Brands appearing repeatedly
• Listing images
• Titles and bullet points
• A+ Content
• Sponsored placements
• Coupons and discounts
• Product variations
• Delivery options
• Overall listing quality

A search result filled with established brands and heavily reviewed listings can be difficult to enter.

On the other hand, weak competitors do not automatically make a market attractive. Sometimes listings are weak because customer demand is also weak.

Always evaluate competition together with demand.

Step 6: Look at How Sales Are Distributed

Total market demand can hide an important detail: who is getting the sales?

Imagine that the first page generates strong estimated revenue, but one or two products capture most of it. The remaining listings receive relatively little demand.

That market may be harder to enter than the total revenue suggests.

A healthier opportunity for some sellers may have demand distributed across several listings.

Compare estimated performance across multiple competitors rather than focusing only on the top product.

Ask:

Does one brand dominate?

Do several sellers appear to generate meaningful sales?

Are newer listings gaining traction?

Are most purchases concentrated around one price point?

This gives you a more realistic view of how competitive the market may be.

Step 7: Research Customer Reviews

Competitor reviews are more than a measure of competition. They are also a source of product research.

Read both positive and negative reviews.

Positive reviews show what customers value. Negative reviews can reveal recurring problems that may create opportunities for improvement.

For example, customers may repeatedly mention:

• Poor packaging
• Weak materials
• Difficult instructions
• Incorrect sizing
• Missing accessories
• Hard-to-clean designs
• Uncomfortable features
• Product failures
• Poor storage
• Confusing installation

Do not change a product because of one unusual complaint.

Look for patterns.

If dozens of customers mention the same problem across several competing products, you may have found a meaningful customer need.

Review research can influence product design, packaging, instructions, images, FAQs, and listing copy.

Step 8: Research Amazon Keywords

Product research and keyword research should work together.

Keywords tell you how customers describe and search for a product.

Start with the main product term and identify related searches. Then look at relevant long-tail keywords and the terms for which competitors appear.

A reverse ASIN process can also help uncover keywords connected with competing products.

While researching keywords, consider:

Search demand: Are enough shoppers looking for the product?

Relevance: Does the keyword accurately describe what you plan to sell?

Competition: Which listings dominate important searches?

Keyword diversity: Does demand come from one main term or many related searches?

Buyer intent: Does the search suggest that the shopper is actually looking for this type of product?

A market with several relevant search terms may give you more ways to reach customers than one dependent on a single keyword.

Step 9: Check Price History and Stability

Today's selling price does not tell you what a product will sell for three months from now.

This matters because your margin may disappear if competitors begin reducing prices.

When possible, study historical price behavior.

Look for:

• Regular price reductions
• Frequent coupons
• Seasonal price changes
• Price wars
• Long-term price stability
• Large differences between similar products

Suppose your product is profitable at $29.99 but barely breaks even at $22.99. If competing products regularly fall toward $22.99, your financial plan needs to account for that possibility.

Do not calculate profit using only the best price you hope to achieve.

Step 10: Calculate Your Real Costs

This is one of the most important parts of product validation.

A promising sales estimate means little if the product cannot produce an acceptable margin.

Your cost calculation may include:

• Manufacturing or wholesale cost
• Packaging
• Inspection
• Freight
• Customs and duties
• Amazon referral fees
• FBA fulfillment fees
• Storage
• Advertising
• Returns and refunds
• Prep and labeling
• Software
• Other operating costs

Your landed cost is especially important.

For example, a supplier might quote a unit price of $6.00. After freight, packaging, inspection, duty, and preparation, the actual cost of getting the unit ready to sell may be substantially higher.

Make decisions using realistic costs, not just the factory quote.

Step 11: Estimate Profit and ROI

Once you have a reasonable cost estimate, calculate potential profit.

A simplified formula is:

Profit Per Unit = Selling Price − Product Costs − Amazon Fees − Advertising − Other Costs

Suppose a product sells for $32.

Your estimated costs might look like this:

Selling price: $32

Landed product cost: $9

Amazon fees: $10

Estimated advertising cost per sale: $4

Other variable costs: $2

Estimated profit:

$32 − $9 − $10 − $4 − $2 = $7

That $7 is more useful for decision-making than the $32 selling price.

You should also model different situations.

What happens if the selling price falls by 10%?

What happens if PPC costs increase?

What if freight becomes more expensive?

What if you need to offer a coupon?

A product that only works under perfect conditions may carry more risk than your initial margin suggests.

Step 12: Check Seasonality

Some Amazon products sell throughout the year. Others depend heavily on weather, holidays, events, school schedules, or seasonal activities.

Seasonal products are not automatically poor choices. They simply require different inventory planning.

A product that looks excellent in November could perform very differently in February.

When researching demand, consider historical trends rather than relying only on the latest month.

Ask whether your numbers represent normal demand, peak season, or a temporary event.

This can help you avoid ordering inventory based on an unusually strong period.

Step 13: Consider Product and Operational Risk

Demand and margin are only part of the decision.

Some products are much more difficult to operate than others.

Large products can have high fulfillment and storage costs. Fragile products may generate more damaged units and returns. Electronics may have higher defect risk. Products with batteries can create additional shipping requirements. Some categories or products may also require approvals, compliance documentation, or additional testing.

You should also consider intellectual property risks and marketplace restrictions before sourcing.

A profitable spreadsheet does not compensate for a product you cannot safely or legitimately sell.

Step 14: Compare Several Competitors

One common research mistake is finding a successful listing and assuming its performance represents the entire market.

Instead, build a competitor set.

For example, compare at least five relevant products where possible.

For each competitor, you might record:

• Price
• BSR
• Estimated sales
• Estimated revenue
• Review count
• Rating
• Main keywords
• Product features
• Listing strengths
• Common complaints

You are looking for patterns across the market.

This comparison can help reveal whether an opportunity is broad or depends on one unusually successful listing.

Step 15: Create a Product Validation Scorecard

After gathering the information, organize it into a repeatable process.

A simple product validation scorecard might review:

Demand

Competition

Margin

Keyword opportunity

Price stability

Seasonality

Review opportunity

Operational complexity

Differentiation

Risk

You do not need to force every factor into one magic score.

A scorecard is most useful when it prevents you from forgetting important questions and allows you to compare several product ideas in a consistent way.

AmzEngine sellers can use product research data alongside competitor, keyword, profitability, and marketplace information to build a clearer picture before making sourcing decisions.

Common Amazon Product Research Mistakes

Even experienced sellers can put too much weight on attractive headline numbers.

One of the biggest mistakes is chasing revenue rather than profit. A market showing high monthly revenue may also have expensive advertising, low margins, aggressive pricing, and established competition.

Another mistake is relying on one metric. BSR, search volume, review count, or estimated sales can all provide useful information, but none gives you the complete picture.

Sellers can also underestimate costs. Freight, PPC, returns, Amazon fees, and discounts can turn an attractive margin into a weak one.

Finally, avoid assuming that today's performance will continue indefinitely. Competition, customer behavior, Amazon fees, and prices can all change.

What Does a Good Amazon Product Opportunity Look Like?

There is no universal formula because seller budgets, experience, categories, sourcing options, and risk tolerance differ.

In general, a product opportunity is worth investigating further when you can see a reasonable combination of customer demand, manageable competition, stable pricing, acceptable margins, relevant keyword demand, and a clear way to serve customers well.

You should also understand why customers would choose your offer.

Simply copying a product that already sells well gives the market little reason to switch.

Differentiation does not always require inventing something new. It can come from improved materials, better sizing, clearer instructions, useful bundles, better packaging, stronger images, or solving a recurring customer complaint.

How AmzEngine Can Help With Product Research

Product research involves many connected signals. Looking at each one separately can make comparison slow and difficult.

AmzEngine is designed to help Amazon sellers research marketplace opportunities and make more informed decisions using relevant product and competitor information.

Rather than treating one number as the answer, use research tools to build a complete view of the market: demand, competition, keywords, pricing, costs, and potential profit.

The final sourcing decision should always account for your own costs, supplier terms, business model, marketplace requirements, and risk tolerance.

Amazon Product Research FAQ

How do I research a product to sell on Amazon?

Start by identifying a possible product, then research customer demand, BSR, estimated sales, competitors, reviews, keywords, prices, Amazon fees, landed costs, and potential profit. Compare several competing listings instead of relying on one successful product.

What is the most important metric for Amazon product research?

There is no single most important metric. Demand is valuable only when considered alongside competition, selling price, costs, margin, keywords, and market stability. A combination of metrics gives a more useful picture.

Is a low BSR always good?

A lower BSR generally indicates stronger sales performance within a category, but BSR should be interpreted in context. Categories behave differently, and rank can change over time.

Are Amazon sales estimates exact?

No. Third-party estimates should be treated as estimates rather than exact competitor sales records. They are most useful for comparing products, identifying patterns, and assessing approximate market demand.

How many competitors should I research?

There is no fixed number, but reviewing at least five closely relevant listings is a useful starting point. For a broader market assessment, examine the main products across the first search results for your important keywords.

How do I know whether an Amazon product is too competitive?

Look at review counts, brand strength, listing quality, pricing, advertising presence, estimated sales distribution, keyword positions, and how consistently established sellers dominate important search results. No single review-count threshold defines a market as too competitive.

Should I choose a high-demand or low-competition product?

Ideally, look for a sensible balance. Very high demand often attracts stronger competition, while extremely low competition may indicate weak demand. Your goal is to find enough demand to support the business while maintaining a realistic path to compete.

Can product research guarantee a successful Amazon launch?

No. Research reduces uncertainty; it does not remove it. Product quality, sourcing, pricing, inventory, advertising, listing quality, customer experience, competition, and changes in the marketplace can all affect results after launch.

Final Product Research Checklist

Before committing to an Amazon product, make sure you can answer the most important questions:

• Is there consistent customer demand?
• What do sales estimates suggest about the size of the market?
• How is demand distributed between competitors?
• Which keywords are customers using?
• How established are the leading listings?
• Are prices stable?
• What complaints appear repeatedly in reviews?
• Is there a useful way to differentiate the product?
• What is the true landed cost?
• What Amazon fees should be included?
• What might advertising cost?
• What is the estimated profit per unit?
• Does the product remain viable if prices or costs change?
• Is demand seasonal?
• Are there operational, compliance, or intellectual property risks?

The purpose of Amazon product research is not to find a product with perfect numbers. Perfect products rarely exist.

The aim is to understand the trade-offs before your money is tied up in inventory.

Study demand, competition, keywords, customers, pricing, and profit together. Compare several opportunities using the same process. When the numbers do not make sense, be willing to reject an idea and continue researching.

That discipline can be more valuable than finding the next exciting product as quickly as possible.