Amazon Keyword Research Tutorial for PPC & Listings

Amazon keyword research is not just about finding words with high search volume.

It is about finding the search terms that real Amazon shoppers use before they buy products like yours.

It is also about knowing which keywords belong in your listing, which keywords deserve PPC budget, which keywords should stay in discovery campaigns, and which keywords are only tempting because they look big on paper.

In this tutorial, I am sharing the keyword research process I discussed with Isaac Gross from IG PPC for a free Amazon PPC audit. The idea is simple: start with real Amazon data, study competitors, filter keywords by relevance and buying intent, then use the final list in both your PPC campaigns and your Amazon listing.

This matters because Amazon PPC and organic ranking work together. If your ads target one set of keywords but your listing sends a different signal, you make the algorithm’s job harder. If your listing is full of keywords that shoppers do not actually use, you may index for words that do not bring sales. And if you chase broad vanity keywords too early, you may spend a lot without building strong ranking momentum.

What Amazon Keyword Research Really Means

Amazon keyword research is the process of finding, filtering, grouping, and using the search terms that shoppers type into Amazon before buying.

The mistake many sellers make is treating keyword research like a huge copy-paste job. They export thousands of keywords from a tool, pick the ones with the biggest volume, put them into a spreadsheet, and call the job done.

That is not enough.

A good keyword list should tell you which terms deserve the title, which terms belong in bullet points, which terms should be in backend search terms, which terms should be tested in PPC, which terms should be isolated in exact match campaigns, and which terms should be blocked with negative keywords.

Keyword vs Search Term: Know the Difference First

Before building any campaign or listing strategy, separate these two ideas.

A keyword is what you choose to target in a manual campaign or include inside your listing. A search term is what the customer actually typed into Amazon before seeing, clicking, or buying from your product.

This difference matters because sellers do not make money from spreadsheet keywords. They make money when real shopper searches turn into clicks and orders.

Step 1: Start With First-Party Amazon Data

The strongest keyword research should start as close to Amazon as possible.

Third-party tools are useful, but Amazon’s own data helps you understand what is happening inside the marketplace itself. Isaac’s approach starts with first-party data because it reflects real shopper behavior, real competing ASINs, real search terms, and real conversion signals.

Good data sources can include Brand Analytics, Search Query Performance, Product Opportunity Explorer, Search Term Reports, and your own advertising data. Product Opportunity Explorer can also help sellers analyze trends in searches, purchases, reviews, pricing, and customer demand. You can review Amazon’s official Product Opportunity Explorer page for the current Amazon explanation.

Step 2: Reverse Engineer Competitors

Competitor keyword research is not about blindly copying another seller.

It is about learning which search terms already produce clicks and purchases for products similar to yours. If several competing ASINs consistently show up for the same keyword, that keyword is probably part of the market’s real search behavior.

Start by searching your main product term on Amazon. Find the strongest relevant competitors, not just any product that appears. Then check what keywords those ASINs are getting clicks and conversions from. Tools like Helium 10 Cerebro, Data Dive, Sellerise, and other keyword platforms can support this work, but the filtering still needs human judgment.

• Search your main product keyword on Amazon.

• Collect the top relevant competitor ASINs.

• Remove products that look similar but solve a different customer need.

• Use Amazon data and keyword tools to see which terms drive clicks, carts, and sales.

• Keep the keywords that match your product, offer, price point, and buyer intent.

Step 3: Filter Keywords by Relevance

High volume does not matter if the keyword brings the wrong shopper.

For example, the keyword “cup” may have a lot of search volume, but it can mean coffee cup, plastic cup, measuring cup, wine cup, party cup, baby cup, or many other things. If you sell ceramic coffee mugs, “cup” may look attractive in a tool, but it may send too much mixed traffic.

Isaac’s relevance check is practical: look at the top clicked ASINs for the keyword. If the top clicked products are similar to yours, the keyword may be relevant. If the top clicked products are different, the keyword is probably risky, even if the search volume looks exciting.

Step 4: Check Buying Intent With Conversion Share

Relevance tells you whether the keyword fits your product. Buying intent tells you whether shoppers are likely to buy after searching that term.

This is where conversion share becomes useful. If the top products for a search term capture meaningful conversion share, shoppers may be buying confidently from that search. If conversion share is spread thin or weak, the keyword may be more of a browsing term than a buying term.

For many products, a strong combined conversion share across the top clicked ASINs can suggest that the keyword has real buying intent. But do not use one number blindly. Variations, color choices, size options, bundles, and split parent-child listings can distort the picture.

Step 5: Avoid Vanity Keywords That Waste Budget

A vanity keyword is a keyword that looks impressive but does not make sense for your actual product, budget, or conversion goal.

Examples can include very broad terms like “gift,” “Christmas gift,” “home,” “kitchen,” “cup,” or “organizer.” These keywords may have huge search volume, but they can also attract shoppers with many different needs. That means clicks may be expensive, conversion may be weak, and ranking may not improve enough to justify the spend.

Broad keywords are not always bad. They just need timing and control. Early in a launch, your budget usually works harder when you focus on the most relevant, highest-intent terms first. Once the listing has traction, you can test broader terms with a better structure and clearer expectations.

Step 6: Build Your Final Keyword List in Tiers

Once you remove weak, irrelevant, and low-intent terms, organize the remaining keywords into tiers.

This prevents a messy launch. Instead of treating every keyword equally, you know which ones deserve premium placement, stronger bids, and close monitoring.

Step 7: Put Keywords Into the Listing Without Stuffing

Keyword research does not help if the final listing reads like a robot wrote it.

The title should clearly explain the product and include the most important primary keyword naturally. Bullet points should include secondary keywords while still focusing on benefits, use cases, objections, and reasons to buy. A+ Content and description can support long-tail phrases when they fit naturally. Backend search terms can hold relevant terms that did not fit into visible copy.

Step 8: Build PPC Campaigns Around Keyword Value

Do not take your final keyword list and dump everything into one ad group.

Campaign structure should match keyword value. Primary keywords need cleaner control. Secondary keywords can be tested with phrase match. Long-tail and watchlist terms can go into discovery campaigns. Winning search terms should eventually be isolated and managed with more control.

Amazon Ads explains that Sponsored Products can use automatic targeting, manual targeting, and negative targeting. Keyword match types include broad, phrase, and exact, and negative targeting helps stop ads from showing in unwanted searches. You can review Amazon’s official Sponsored Products targeting guide for the current platform explanation.

Step 9: Use Negative Keywords to Protect Budget

Keyword research also tells you what not to target.

Broad and phrase match campaigns can discover useful search terms, but they can also attract poor-fit traffic. That is why negative keywords matter. They help stop your ads from showing for searches that do not match your product, budget, or campaign purpose.

Do not add negatives blindly. Use search-term data. A search term may deserve a negative when it is clearly irrelevant, when it has enough clicks with no sales, when it belongs in another campaign, or when it attracts shoppers with the wrong intent.

A Practical Example: Stainless Steel Garlic Press

Let’s make the keyword process easier with a simple example.

Imagine you sell a stainless steel garlic press. You do not want to target every keyword with “garlic” or “press” in it. You want the terms that match your actual buyer.

Step 10: Track Ranking and Keep Refining

Keyword research is not finished when the listing goes live.

After launch, your PPC reports and ranking tracker tell you which keywords are actually working. Some keywords will get clicks but no sales. Some will convert better than expected. Some will rank organically after PPC pressure. Some will look good in research but fail in real traffic.

Your job is to keep updating the list. Increase bids on proven winners when the math makes sense. Move converting search terms into exact match. Add negatives for bad traffic. Watch organic ranking. Improve listing conversion. Expand only when the foundation is working.

A Simple Keyword Research Workflow

Here is the full process in a simple order.

• Start with Amazon first-party data where available.

• Collect competitor ASINs from the most relevant search results.

• Reverse engineer competitor keywords using Brand Analytics and keyword tools.

• Remove irrelevant terms by checking top clicked ASINs and buyer intent.

• Use conversion share and search-term behavior to judge buying intent.

• Group keywords into primary, secondary, long-tail, and watchlist terms.

• Place keywords naturally into the listing without stuffing.

• Build PPC campaigns around keyword priority and match type.

• Use search-term reports to scale winners and block poor-fit traffic.

• Track ranking, conversion, ACoS, TACoS, and keyword movement over time.

When to Work With IG PPC

You can do keyword research yourself, especially when you are still learning the market. But if your campaigns are already spending serious money and the account feels messy, a PPC audit can help you see where the leaks are.

IG PPC’s audit process looks at inefficient spend, low-performing campaigns, keyword performance, negative keywords, listing opportunities, competitor gaps, structure, and reporting. That is exactly the kind of review many sellers need when they have traffic but are not sure which keywords deserve more budget.

Common Amazon Keyword Research Mistakes

Most keyword mistakes happen because sellers confuse volume with value.

• Choosing keywords only because they have high search volume.

• Copying competitor keywords without checking product relevance.

• Ignoring conversion share and buying intent.

• Putting too many keywords into the title and hurting readability.

• Launching all keywords in one messy campaign.

• Not moving proven search terms into cleaner exact match control.

• Forgetting negative keywords and letting bad traffic keep spending.

• Not tracking ranking after launch.

FAQ About Amazon Keyword Research

What is Amazon keyword research?

Amazon keyword research is the process of finding the search terms customers use on Amazon, filtering them by relevance and buying intent, then using them in your listing and PPC campaigns.

Should I start keyword research with Amazon data or third-party tools?

Start with Amazon data when you can, because it reflects real marketplace behavior. Then use third-party tools to expand, compare, reverse engineer competitors, and organize your research.

How do I know if an Amazon keyword is relevant?

Check whether the top clicked and converted ASINs for that keyword are similar to your product. If shoppers click and buy products like yours after searching that term, the keyword is usually more relevant.

Should I target high-volume keywords first?

Not always. High-volume keywords can waste money if they are too broad or low-intent. Early PPC and launch work usually performs better when you focus on relevant, high-intent keywords first.

Where should I put keywords in my Amazon listing?

Use the main primary keyword naturally in the title. Use secondary keywords in bullet points and A+ Content. Use relevant long-tail terms in the description or backend search terms when they do not fit naturally in visible copy.

What match type should I use for Amazon PPC keywords?

Use exact match for your most important proven keywords, phrase match for controlled expansion, and broad match for discovery. Use negative keywords to stop irrelevant or poor-fit traffic from wasting budget.

How often should I update my keyword list?

Update it regularly after launch. Use search-term reports, conversion data, ranking movement, ACoS, TACoS, and organic sales to decide which keywords to scale, pause, isolate, or block.

How do I get the IG PPC free audit?

Use this IG PPC special offer link to request a free Amazon PPC audit from Isaac Gross and his team.

Final Thoughts

Amazon keyword research is not about chasing the biggest keyword list.

It is about choosing the right battles.

Start with real Amazon data. Study the competitors that actually matter. Check relevance before volume. Use conversion share and search-term behavior to understand buying intent. Build your list in tiers. Put the strongest keywords into the listing naturally. Then structure PPC around keyword value instead of throwing everything into one campaign.

Over time, your data will tell you what to scale, what to test, what to reduce, and what to block. That is where keyword research becomes more than research. It becomes the foundation for ranking, PPC efficiency, and listing growth.