Web-based software suite to start & grow your Amazon business
Analyze marketplace data while browsing Amazon
A SaaS platform for global voice of customer and product research
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Find high-volume, low-competition keywords, reverse-engineer your competitors, and build listings that rank — step by step.
Amazon keyword research is the process of identifying the exact words and phrases that shoppers type into Amazon's search bar when they're looking for products like yours. When you embed those keywords strategically into your listing — in the title, bullet points, description, and backend fields — you tell Amazon's algorithm: "This product is exactly what these shoppers are looking for."
Amazon then rewards that relevance by showing your product higher in search results. More visibility means more clicks. More clicks mean more sales. More sales means Amazon ranks you even higher. That virtuous cycle is the engine behind every successful Amazon business.
Amazon's algorithm ranks products that match what shoppers are searching for AND convert well. Keyword research is how you tell Amazon your product is relevant. Conversion rate is how you prove it. Both matter.
Amazon's marketplace has become dramatically more competitive over the past few years. Over 2 million new sellers join Amazon every year. Ad costs are rising 15–20% annually. And Amazon's algorithm has evolved — it now tracks not just whether your listing contains a keyword, but whether that keyword actually generates clicks, conversions, and revenue for your product.
In 2026, keyword research is no longer about stuffing a few high-volume terms into your title. It's about building a keyword architecture — a structured set of primary, secondary, and long-tail keywords that together create a complete picture of your product for both shoppers and the algorithm.
Understanding Amazon's algorithm is the foundation of effective keyword research. Amazon's current algorithm — often called A10 — evaluates your product across several signals to decide where to rank it. Keywords are the starting point, but they're just one piece.
Does your listing contain the exact keywords a shopper searched? Title weight is highest, then bullets, then backend.
When your product appears in search results, do shoppers click on it? A low CTR tells Amazon your listing isn't relevant for that keyword.
When shoppers click your listing, do they buy? High conversion rate is the strongest ranking signal Amazon tracks.
The faster you're selling, the more Amazon promotes your product. Keyword-driven PPC can boost organic rank by increasing velocity.
Products with more and better reviews rank higher — reviews validate that your product delivers on what your keywords promise.
A10 gives extra ranking credit for traffic driven to your listing from outside Amazon (social media, Google, email, etc.).
Amazon's A10 update placed less emphasis on paid ad sales and more emphasis on organic sales history and external traffic. This means genuine keyword relevance and conversion quality matter more than simply throwing money at PPC. Sellers with perfectly optimized keyword architecture perform significantly better in 2026 than those relying on ads alone.
Not all keywords are created equal. Understanding the three main keyword categories — and how to use each — is critical to building a listing that ranks broadly and converts well.
1–2 word phrases with very high search volume but also very high competition. Hard to rank organically, but essential for PPC and title inclusion.
3–6 word phrases with lower volume but much higher purchase intent and lower competition. These drive your most profitable organic traffic.
Hidden keywords in Seller Central that customers never see. Use these for synonyms, alternative spellings, and international terms you couldn't fit in your listing.
New sellers almost always make the mistake of targeting only broad, high-volume keywords — "coffee maker," "yoga mat," "water bottle." These are dominated by massive brands with thousands of reviews. Your fastest path to page 1 is long-tail keywords first. Rank for the specific terms, build velocity, then climb to the broad terms naturally.
Here is the exact keyword research process used by top Amazon sellers to find keywords worth targeting — combining high monthly search volume with competition you can realistically beat.
Write down 5–10 basic words that describe your product. Think like a shopper who has never seen your brand before. What would they type into Amazon to find this product? These seed keywords become the starting point for your research.
Enter each seed keyword into SellerSprite's Keyword Research tool. It will return hundreds of related keywords with monthly search volume, trend data, competition scores, and PPC bid estimates — all pulled directly from Amazon's search data.
Set a minimum monthly search volume of 300–500 for niche products, or 1,000–3,000 for mainstream products. Remove keywords below this threshold — they don't generate enough traffic to be worth optimizing for.
For each keyword, look at the top 10 results in Amazon. Count how many have 1,000+ reviews. If 8 out of 10 results have massive review counts and are established brands, that keyword is too competitive for now. Look for keywords where the top results have 50–300 reviews — that's your window.
Use SellerSprite's trend data to ensure the keyword has stable or growing search volume year-over-year. Avoid keywords that peaked 18 months ago and are declining — you'll rank for a term that fewer and fewer people are searching.
Keywords with words like "best," "for [specific use]," "buy," "deal," and "under $[price]" indicate someone who is ready to purchase — not just browsing. These keywords convert at 3–5× the rate of generic terms. Prioritize them.
Sort your keywords into three tiers: Primary (highest volume, in your title), Secondary (medium volume, in bullet points), and Long-tail (lower volume but high purchase intent, in description and backend). You now have your keyword architecture.
SellerSprite's Keyword Research module is purpose-built for Amazon sellers. Unlike generic SEO tools (Google Keyword Planner, Ahrefs), SellerSprite pulls its data directly from Amazon's search engine — so every search volume figure, trend line, and competition score reflects actual Amazon shopper behavior, not Google searches.
1. Log in and navigate to Keyword Research from the left menu.2. Type your seed keyword (e.g. "silicone ice cube tray") and select your marketplace (US, UK, DE, etc.).3. Review the results — sort by Monthly Search Volume (high to low) first.4. Apply filters: minimum volume 500, exclude branded terms.5. Export the filtered list as CSV for your keyword master file.Take 10 minutes to do this for 5 seed keywords — you'll have 200+ potential keywords to work with.
Reverse ASIN is arguably the single most powerful keyword research technique available to Amazon sellers. Instead of guessing which keywords to target, you look directly at the keywords your best-performing competitors are already ranking for — keywords that are proven to generate sales in your exact niche.
Here's why it's so effective: your top competitors have already spent months or years building their keyword rank. They've spent money on PPC, optimized their listings, and earned reviews — all to rank for specific keywords that convert. With Reverse ASIN, you inherit their research instantly.
Search your main keyword on Amazon. Look at the top 5 results. Pick the 3 products that are most similar to yours in price range, category, and customer type. Copy their ASINs (the 10-character code in the product URL: B0XXXXXXXX).
Go to SellerSprite → Reverse ASIN → paste the competitor's ASIN. SellerSprite will return every keyword that product ranks for, along with its organic rank position, estimated monthly search volume, and whether it's ranking organically or through paid ads.
Filter to show only keywords where the competitor ranks in positions 1–20 (page 1–2). These are their best-performing keywords. Sort by search volume and focus on keywords with 500+ monthly searches where the competitor holds a position you can eventually compete for.
Run Reverse ASIN on all 3 competitors and compare. Keywords that two or three competitors rank for, but you don't, are your highest-priority targets. They're clearly driving sales for your niche — and you're missing out on them.
Export all competitor keywords, merge them with your original keyword research, remove duplicates, and you now have a battle-tested keyword list built on real market data — not guesswork.
SellerSprite's Reverse ASIN shows you whether a competitor is ranking for a keyword organically or only through paid ads. If they rank well organically, that keyword is highly relevant to their listing. If they only hold position through expensive ads, that might be a keyword you can eventually outrank organically with a well-optimized listing.
Raw keyword data is useless until it's organized. Your Keyword Master List is the foundation of every listing optimization, PPC campaign, and backend keyword set you'll ever build for this product.
You do not need to include both "ice cube tray" and "ice tray" in your title — Amazon's algorithm automatically indexes word-order variations and close synonyms. Using the same words twice in different fields is wasted space. Use that space for new keywords instead.
Keyword placement is about hierarchy. Amazon gives different weight to keywords depending on where they appear. Here's the exact placement strategy used by high-ranking sellers.
Example: "CoolChef Silicone Ice Cube Tray — Large Square Molds for Whiskey, Cocktails & Juice — Set of 2 with Lid, BPA Free, Easy Release"This title includes: primary keyword (silicone ice cube tray), use cases (whiskey, cocktails), secondary keywords (square molds, large), features (lid, BPA free, easy release), and a quantity signal (set of 2). Every word earns its place.
SellerSprite's Keyword Research tool gives you real Amazon search volume, trend data, competition scores, and Reverse ASIN — everything in this guide, built into one platform.
Finding and placing keywords is only half the job. Keyword ranking is not a one-time event — it's an ongoing process. You need to monitor where your product ranks for each of your target keywords, and respond when rankings change.
After optimizing a listing with proper keyword research: expect to move from positions 30–50 to positions 10–20 within 4–6 weeks for your primary keywords, assuming you're running some PPC to drive initial velocity. Long-tail keywords can often reach page 1 within 2–3 weeks with minimal ad spend. Patience + consistent monitoring is the strategy.
Keyword gap analysis is how advanced sellers find the keywords their competitors are winning on that they're currently missing. It's the fastest way to identify ranking opportunities with proven demand.
Use SellerSprite's Keyword Tracker to export every keyword your ASIN currently ranks for, along with rank position and estimated traffic.
Run Reverse ASIN on your 3 main competitors and export their keyword lists — focusing on keywords where they rank positions 1–30.
Compare the lists. Keywords that 2+ competitors rank for, but you don't — or you rank significantly lower for — are your priority targets. These are proven demand keywords that your listing isn't capturing.
Calculate: (Competitor rank − Your rank) × Search volume. The highest scores are your biggest opportunities — high traffic keywords where you're significantly behind. Fix these first.
Add gap keywords to your listing where they fit naturally, and create exact-match PPC campaigns targeting your highest-opportunity gap keywords. PPC drives initial velocity, which drives organic rank improvement.
Everything in this guide is available inside SellerSprite — keyword research, Reverse ASIN, rank tracking, competitor intelligence, and more. Over 1 million sellers use it worldwide.
This article contains affiliate links. When you purchase through the SSAM35 link, we may earn a commission at no extra cost to you. All opinions and tool assessments are based on independent research and real seller data.
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