Amazon Ads Keyword Targeting: Match Types & Optimization

Key Takeaways

• Amazon ads keyword targeting lets advertisers choose search terms that can trigger Sponsored Products and Sponsored Brands ads.

• Broad, phrase, and exact match give different levels of control over the searches your ads can match.

• Automatic campaigns can help discover shopper search terms; manual keyword campaigns give you more control over where you compete.

• Search term reports can reveal actual customer searches and help identify keywords to promote or exclude.

• Negative keywords help prevent ads from appearing for searches that do not fit campaign goals.

• A strong strategy connects keyword selection, match types, bids, campaign structure, and ongoing optimization.

What Is Amazon Ads Keyword Targeting?

Amazon ads keyword targeting is a manual targeting method where you choose keywords that shoppers may use when searching for products. Amazon then uses those keywords and the selected match type to determine which shopping queries may make your ads eligible to show.

For Sponsored Products, Amazon ads keyword targeting can help your products appear in shopping results and on product detail pages. Amazon also supports Amazon ads keyword targeting for Sponsored Brands. The approach is useful when you know the searches you want to compete for and want greater control over targeting and spend.

Amazon ads keyword targeting is different from product targeting. With Amazon ads keyword targeting, the focus is the shopper's search query. With product targeting, the focus is specific products, categories, or product attributes.

Keyword Targeting vs. Automatic Targeting

Amazon automatic targeting matches Sponsored Products to relevant shopping queries and products using close match, loose match, substitutes, and complements.

Amazon ads keyword targeting gives you more control because you select the keywords and match types. The two approaches can work together: automatic campaigns can provide discovery data, while manual campaigns can give proven terms tighter control.

Amazon Ads Keyword Match Types

The three keyword match types for Sponsored Products Amazon ads keyword targeting are broad, phrase, and exact.

Broad Match

Broad match provides the widest exposure of the three manual keyword match types. Amazon says a shopping query can contain the keyword terms in any order and may include singulars, plurals, variations, synonyms, and related terms based on meaning and context.

That makes broad matches useful for discovering search behavior you may not have anticipated. The trade-off is control: a broader match can expose your product to a wider set of queries, so search-term monitoring becomes important.

Phrase Match

Phrase match is more restrictive than broad match. The search term generally contains all components of the targeted keyword in the same order, while additional words can appear around the phrase.

For example, a phrase keyword such as “cotton sheet set” can match a longer query containing that phrase. Phrase match can therefore sit between broad discovery and exact targeting when you want relevance without limiting reach as tightly as exact match.

Exact Match

Exact match gives the most restrictive control among the three. Amazon says the search term is matched word for word and in the same order, while the plural form can also match.

Exact match is useful when you have identified a search term that deserves focused control. It can make bid management and performance analysis more straightforward because the targeting is narrower.

How to Build a Keyword List

Start with the product. Identify words that accurately describe it, its main use, important attributes, and the problem it solves. Then expand into more specific phrases that reflect buying intent.

Amazon recommends researching descriptive language on similar product detail pages and reviewing its keyword recommendations. A practical research process can use:

1. Product and category language.

2. Amazon keyword recommendations.

3. Search terms from automatic campaigns.

4. Search term reports.

5. Relevant competitor and category terminology.

   
   

How Many Keywords Should You Start With?

For Amazon ads keyword targeting, start with at least 25 relevant keywords per ad group. Amazon recommends that minimum, and adding more helps ads earn enough impressions to reach sales goals. Some keywords simply are not common shopping queries, so a short list can starve a campaign. Group related products together, and keep the keywords that fit those products in the same ad group.

Specific vs. General Keywords

In Amazon ads keyword targeting, broader keywords bring volume while specific keywords bring intent. Take a cotton sheet set seller. The keyword “sheets” can match bed sheets, baking sheets, and crib sheets, so many clicks come from shoppers who never wanted your product. “Queen cotton sheet set deep pocket” will get fewer impressions, but the shoppers who see it are far closer to buying. Start specific, then widen only as the search term report supports it.

Branded, Competitor, and Complementary Keywords

Match the keyword type to the campaign goal:

• Branded: your brand and product names. Use them to defend searches you should own.

• Competitor: rival brand or product terms. Check Amazon’s ad policies and trademark rules before bidding on them.

• Complementary: items sold separately but used together. A sheet set seller might bid on “mattress topper,” reaching shoppers already upgrading their bed.

Seasonal Keyword Variations

Plan seasonal terms before demand peaks. A sheet set seller might add “queen cotton sheet set gift” and “wedding gift bedding” ahead of the holiday season, then pause them afterward. Keep seasonal terms in their own ad group so they do not distort year-round keyword data.

Use Search Term Reports to Find Real Shopper Queries

One of the most useful inputs for keyword optimization is the search term report. Amazon says the report shows the search terms customers use to look for products, or terms inferred as best matches in certain non-search contexts.

For Sponsored Products, the report can help you identify searches that perform well and searches that do not meet your goals. Amazon notes that the report includes search terms that resulted in at least one ad click.

This creates a practical optimization loop:

Discover → Evaluate → Promote → Exclude → Repeat

A relevant search term that produces strong results can become a manual keyword target. A search term that repeatedly spends without supporting the campaign objective may be considered for negative targeting after enough data has accumulated.

When to Check Results: The Two-Week Review

Do not set Amazon ads keyword targeting and forget it. After keywords have run for about two weeks, review which ones perform best and which search terms produce the best traffic, then archive the weakest keywords and raise bids on the strongest. Treat two weeks as a starting point, not a rule. A low-traffic product may need longer before the data means anything.

Example 2: Promoting a Search Term to Exact Match

Your broad campaign’s search term report shows “queen cotton sheet set deep pocket” with 14 clicks, 3 orders, and a $0.90 average CPC. That is 21% conversion, $12.60 in spend, and $180 in sales, so ACoS is 7%. This term clearly deserves its own control.

1. Add it as an exact match keyword in your proven-terms campaign.

2. Set its bid from the break-even ceiling in Example 1, not from the broad campaign’s bid.

3. Keep it running abroad as well if you want to keep discovering variations, and review again in two weeks.

How to Use Negative Keywords

Negative keywords tell Amazon not to show your ads for certain shopping queries.

They are useful when a keyword is related to your product at a surface level but does not match the campaign's actual objective. They can also help control recurring waste in Amazon ads product targeting.

Amazon supports negative phrase and negative exact keyword match types. Negative phrases prevent ads from showing for queries containing the complete phrase or close variations. Negative exactness prevents ads from showing the exact phrase or close variation.

Amazon's current guidance recommends evaluating performance before deciding to add a negative keyword and gives a 20-click benchmark as a consideration for this decision.

Example : Adding a Negative Keyword With Evidence

The same report shows “cotton crib sheet” with 22 clicks, 0 orders, and $17.60 spent at $0.80 per click. You sell queen sheets, and the term has passed the 20-click benchmark mentioned above without a sale. Add “crib” as a negative phrase keyword. Compare that with a term at 6 clicks and no orders: it has not earned a decision yet, so leave it alone and keep watching.

Negative Keywords Cannot Block ASINs

Negative keywords cannot block specific ASINs; negative ASIN targeting is handled through product attribute targeting or, in Sponsored Products, automatic targeting. If a rival’s product page keeps wasting spend, use negative product targeting, not a negative keyword

Match Types and Campaign Structure

Do not think of broad, phrase, and exact as three labels that must all live together without a purpose. Give each match type a job.

Broad can support discovery. Phrases can capture controlled variations. Exactly can concentrate on terms you already understand.

Separating campaigns or ad groups by objective can make reporting and bid management easier. For example, a discovery-focused campaign can have a different role from a campaign designed to protect efficiency on proven search terms.

Do Keywords in Different Campaigns Compete?

Not in the way many advertisers fear. Similar keywords will not drive your ad cost up or cancel each other out, but duplicating the same ASIN and keyword across many campaigns forces you to check more pages to see performance. Keep similar ASIN and keyword combinations together so reporting stays clean

How Should You Set Keyword Bids?

A keyword's bid should reflect its role in the campaign and the value of the traffic it can generate.

Amazon's current Sponsored Products guidance recommends testing all three match types with different bids. It also suggests, when setting manual bids, using the highest bid for exact match, a lower bid for phrase match, and the lowest bid for broad match.

That is a recommendation, not a universal rule. Actual bids should still reflect your economics, competition, conversion performance, and campaign objective.

Example : Match Types, Bids, and the Break-Even Ceiling

Amazon suggests the highest bid on exact, a lower bid on phrase, and the lowest on broad. Math explains why. Say the cotton sheet set sells for $60 and leaves $22 profit before ads. Your maximum break-even CPC for a keyword equals profit per unit times its conversion rate.

Broad earns less per click because its traffic converts less, so its ceiling is lower. Start well under each ceiling, then raise bids only as data proves the keyword converts. These conversion rates are illustrative; use your own.

Choose a Bidding Strategy That Fits the Match Type

Amazon ads keyword targeting supports dynamic bids (down only), dynamic bids (up and down), and fixed bids. Down only lowers bids when a click looks less likely to convert, which suits tight exact match campaigns. Up and down can raise bids on likely converters, so give it budget headroom and watch ACoS. Fixed bids give full control but need more manual work. Test one strategy per campaign so you can read the result.

Common Amazon Ads Keyword Targeting Mistakes

Targeting Every Related Keyword

More keywords do not automatically mean better targeting. Irrelevant terms can consume budget without helping the campaign objective.

Using Only Exact Match

Exact match provides control, but using it exclusively can limit discovery. Broader match types can uncover search behavior outside your initial list.

Leaving Broad Match Unmanaged

Broad match can generate useful discovery, but it needs monitoring. Search-term reports and negative keywords help keep traffic relevant.

Ignoring Search-Term Data

Keyword-level performance can hide what shoppers actually typed. Search-term analysis helps decide what to promote or exclude.

Quick Fixes for Common Amazon Ads Keyword Targeting Problems

How Atom11 Helps Scale Amazon Keyword Optimization

Keyword optimization becomes difficult to manage manually as your account grows. More campaigns, products, keywords, and search terms mean more bids to adjust, search terms to review, and negative keywords to add.

Atom11 helps turn these recurring tasks into automated workflows while keeping the underlying strategy visible.

Search-Term Harvesting

Atom11 can identify search terms that perform well and help move them into your keyword strategy. This makes it easier to turn successful shopper searches into targeted campaigns instead of relying on manual search-term reviews.

Search-Term Negation

Not every search term deserves continued spend. Atom11 supports search-term negation to help exclude terms that generate unwanted traffic or repeatedly spend without contributing to the campaign objective.

Automated Bid and Budget Management

Atom11 automates bid and budget adjustments based on campaign performance. Instead of manually reviewing individual keywords and changing bids, you can apply rules that respond to performance at scale.

Bulk Campaign Actions

When managing a large account, making changes one campaign at a time is inefficient. Atom11's bulk campaign tools allow teams to apply changes across multiple campaigns, targets, and products, reducing repetitive manual work.

Retail-Aware Keyword Optimization

Atom11 brings advertising data together with Seller Central signals such as inventory and other retail conditions. This gives keyword and bid automation more context than ad performance alone, helping you make advertising decisions based on what is happening across the business.

How to Measure Amazon Keyword Targeting Performance

Start with the campaign objective, then select the metrics that show whether the objective is being achieved. For conversion-focused campaigns, useful metrics include impressions, clicks, CTR, spend, orders, sales, conversion rate, ACoS, and ROAS.

Do not judge a keyword by ACoS alone. A keyword generating strong sales may deserve a different action from one with limited spend and insufficient data. Review both keyword-level and search-term performance: the keyword shows what you targeted, while the search term shows what shoppers actually searched.

A Simple Amazon Keyword Optimization Framework

A practical keyword strategy can follow five steps:

1. Discover: Build an initial keyword list using product relevance, Amazon recommendations, research, and automatic campaign data.

2. Launch: Assign broad, phrase, and exact match types based on the role each keyword should play.

3. Measure: Review keyword and search-term performance against the campaign objective.

4. Refine: Promote strong search terms and add negative keywords when data supports the decision.

5. Scale: Adjust bids and budgets around proven performance, then automate repeatable optimization tasks.

Scale Amazon Keyword Optimization With Atom11

Amazon keyword optimization becomes increasingly time-consuming as your account grows. Atom11 helps reduce that workload by combining search-term harvesting, negative keyword management, bid and budget automation, bulk campaign actions, and retail-aware advertising signals in one platform.

Instead of repeatedly reviewing search terms, adjusting bids, and making campaign changes manually, teams can build repeatable workflows around their optimization strategy and apply them across larger accounts.

Ready to spend less time managing keywords manually? Book a demo with Atom11 to see how automated keyword optimization can fit into your Amazon Ads workflow.

Conclusion

Amazon keyword targeting works best when every keyword and match type has a clear purpose. Broad match can support discovery, phrase match can expand reach with more control, and exact match can focus spend on proven search terms.

As campaigns grow, search-term analysis, negative targeting, bid adjustments, and bulk changes can become repetitive. The right automation can handle these recurring tasks while keeping campaign strategy and performance review in the hands of the advertiser.

For larger Amazon Ads accounts, the goal is not simply to target more keywords. It is to identify the terms that matter, control wasted spend, and continuously optimize bids and budgets based on performance. Tools such as Atom11 can help turn that process into a scalable, repeatable workflow.