Amazon Ads Targeting Options: Keywords, Products and Audiences

Amazon Ads targeting determines which shopping searches, product pages, categories and audiences can trigger your adverts. However, targeting is no longer limited to choosing between automatic and manual keywords.

The available options now extend across:

• Sponsored Products automatic targeting

• Manual keyword targeting

• ASIN and category product targeting

• Negative keywords and negative product targets

• Sponsored Brands keyword, product and theme targeting

• Sponsored Display contextual targeting

• Remarketing and Amazon audience segments

• Optimised targeting

• More advanced audience and contextual strategies through Amazon DSP

The most effective approach is rarely to select one targeting method and use it everywhere. Strong Amazon advertising combines automation for discovery with manual targeting for control, while separating branded, generic, competitor and audience strategies so their performance can be measured independently.

This guide explains how the main Amazon Ads targeting options work, when to use them and how to turn targeting data into a commercially effective campaign structure.

Amazon Ads Targeting Options at a Glance

The targeting methods available depend on the advertising format, campaign goal, marketplace and advertiser eligibility.

Advertising format	Main targeting options	Common uses
Sponsored Products	Automatic, manual keywords, product targeting and negative targeting	Product sales, keyword discovery, brand defence and competitor targeting
Sponsored Brands	Keywords, products, categories, theme targeting and negative targeting	Brand visibility, Store traffic, product discovery and new-customer acquisition
Sponsored Display	Contextual targeting, remarketing, Amazon audiences and optimised targeting	Product consideration, retargeting, cross-selling and audience expansion
Amazon DSP	Amazon audiences, advertiser audiences, third-party audiences, contextual and geographic targeting	Advanced programmatic, video, display, streaming and full-funnel advertising

Amazon regularly changes feature availability and campaign interfaces. Some audience, theme and automated targeting options may therefore differ between marketplaces or campaign objectives.

Targeting Starts with the Product, Not the Campaign

Before selecting keywords or ASINs, confirm that the advertised product is commercially and operationally ready for additional traffic.

Amazon uses information from the product listing to understand relevance, particularly for automatic targeting. The product detail page also determines whether the shoppers reached through advertising are likely to convert.

Review:

• Product titles

• Images and video

• Bullet points and descriptions

• A+ Content

• Category classification

• Search terms and product attributes

• Price competitiveness

• Ratings and reviews

• Stock availability

• Delivery proposition

• Featured Offer eligibility

• Profit margin and break-even ACoS

Products generally need to be eligible for the Featured Offer to run Sponsored Products. Products that lose eligibility or go out of stock may stop serving, irrespective of campaign bids or targeting.

A targeting problem can therefore originate outside the advertising account. If a relevant search term produces many clicks but few sales, the cause may be the product price, reviews, imagery, delivery time or detail page—not necessarily the keyword.

This distinction is essential when optimising Amazon Ads. Removing relevant traffic does not resolve a weak retail proposition.

Sponsored Products Automatic Targeting

Automatic targeting is available for Sponsored Products. Amazon uses the advertised product’s information and previous shopping activity to match the advert with relevant shopping queries and product pages.

It is useful for:

• Launching a new product

• Discovering customer search terms

• Finding relevant competitor or complementary ASINs

• Identifying demand that keyword research missed

• Entering an unfamiliar product category or marketplace

• Expanding beyond an established manual campaign

Automatic targeting should not be treated as a beginner-only setting. Mature accounts can run automatic campaigns continuously as controlled discovery engines.

Amazon divides automatic targeting into four targeting groups.

Close Match

Close match connects adverts with shopping queries that Amazon considers closely related to the advertised product.

For example, an advert for a stainless-steel cafetière may appear for searches such as:

• Stainless-steel coffee press

• Large cafetière

• Metal French press

Close match will often produce the most obviously relevant search traffic, although performance still depends on how accurately Amazon understands the product listing.

Loose Match

Loose match reaches shopping queries that are more broadly related to the product.

The same cafetière could potentially appear for searches involving:

• Coffee makers

• Coffee brewing equipment

• Kitchen coffee accessories

Loose match can identify valuable demand that is not captured by close product terminology. However, its broader interpretation may also produce more irrelevant or low-intent traffic.

It should normally have its own bid so that discovery spend can be controlled independently.

Substitutes

Substitutes targeting can show the advert to shoppers viewing products that Amazon considers alternatives to the advertised product.

This may include:

• Competing brands

• Similar products

• Different versions of the same product

• Products serving the same purpose

• Comparable products at another price point

Substitutes can be useful for competitor conquesting because the shopper is already evaluating a related product. The advertised offer must nevertheless be competitive enough to persuade the shopper to switch.

Price, reviews, delivery, imagery and product differentiation are particularly important here.

Complements

Complements targeting can show the advert alongside products that are commonly associated with the advertised product.

Examples might include:

• Coffee filters alongside a coffee maker

• Camera cases alongside cameras

• Replacement brush heads alongside electric toothbrushes

• Pillowcases alongside bedding

• Batteries alongside compatible electronics

Complementary targeting supports cross-selling and product discovery, but it can be less predictable than close-match search traffic. It should be evaluated separately from substitutes rather than placing both under one undifferentiated bid.

How to Structure Automatic Targeting

Amazon allows advertisers to set a default bid or different bids for close match, loose match, substitutes and complements.

Separate bidding is usually preferable because each group serves a different commercial purpose. Close match may generate high-intent search traffic, while complements may provide broader product-page discovery.

A controlled automatic structure could include:

• Close match at the strongest exploratory bid

• Loose match at a more conservative bid

• Substitutes based on competitor-conquest economics

• Complements based on cross-selling performance

For products with sufficient volume, the targeting groups can also be isolated into separate campaigns or ad groups. This provides clearer budgets, placement data and performance controls.

Automatic targeting should not receive an unlimited discovery budget. Its purpose is to find commercially useful search terms and product placements that can be developed through deliberate manual targeting.

For the full campaign-building process, see our Amazon Ads campaign setup guide.

Sponsored Products Manual Targeting

Manual targeting allows the advertiser to choose the targets and set bids at target level.

There are two principal methods:

• Keyword targeting

• Product targeting

Manual targeting provides more control than automatic targeting, but it still uses Amazon’s matching systems. Selecting a keyword does not mean the advert will only appear when a shopper types that keyword exactly. The chosen match type determines how widely Amazon can interpret it.

Similarly, targeting an ASIN does not guarantee delivery exclusively on one fixed position. Product targeting can make the advert eligible across relevant Amazon placements associated with the target.

Amazon Keyword Targeting

Keyword targeting connects manually selected keywords with customer shopping queries.

A keyword is the term entered by the advertiser. A shopping query or search term is what the customer actually entered into Amazon.

For example:

• Keyword: stainless steel water bottle

• Possible shopping query: one litre insulated stainless steel water bottle

This difference matters because optimisation should be based on the searches that generated clicks and sales—not only the keywords responsible for matching them.

Keyword targeting is available for Sponsored Products and Sponsored Brands. Amazon offers three principal positive match types:

• Broad match

• Phrase match

• Exact match

Broad-Match Keywords

Broad match offers the widest interpretation of a keyword. Terms can appear in different orders, and Amazon may include plurals, variations, synonyms and semantically related searches.

A broad-match keyword such as tennis shoes could match searches involving:

• Women’s tennis trainers

• Court shoes

• Athletic footwear

• Men’s shoes for tennis

• Lightweight sports trainers

The keyword itself does not necessarily need to appear word for word in the customer’s search.

Broad match is best used for:

• Search-term discovery

• New-product research

• Expanding a restricted campaign

• Finding synonyms and alternative product language

• Identifying long-tail searches

• Testing demand in new categories

It should be used carefully when clicks are expensive or margins are narrow. A broad keyword that looks relevant can still match a much wider range of searches than expected.

Broad match is therefore a discovery tool—not a substitute for reviewing search-term data.

Phrase-Match Keywords

Phrase match is more restrictive. The customer’s search generally needs to contain the keyword components in the specified order, although other words may appear before or after the phrase.

The phrase-match keyword running shoes could match:

• Women’s running shoes

• Running shoes for men

• Lightweight running shoes

It would not ordinarily match a search that reverses or separates the phrase, such as shoes for running.

Phrase match is useful when:

• The core product phrase is known

• Additional modifiers may reveal useful long-tail demand

• Broad match is producing too much irrelevant traffic

• Exact match does not provide enough reach

• The advertiser wants a balance between scale and control

For many established campaigns, phrase match provides an effective middle ground between exploration and precision.

Exact-Match Keywords

Exact match is the most restrictive positive keyword match type. The shopping query generally needs to match the keyword exactly or be a very close variation.

An exact keyword can still match limited variations, such as plurals or very closely related word ordering. It should not be assumed that exact match means character-for-character matching.

Exact match is best suited to:

• Proven high-converting search terms

• Brand searches

• High-value product-specific searches

• Searches requiring independent bids

• Profitability-focused campaigns

• Searches that need dedicated budget or placement control

Exact match often receives the strongest bid because it provides the clearest evidence of intent. However, the bid should ultimately reflect conversion rate, average order value, margin and competitive conditions—not the match-type label alone.

Learn how target selection and bid controls work together in our Amazon Ads bidding strategies guide.

Using Multiple Match Types

The same keyword can be used across broad, phrase and exact match. This does not automatically mean the advertiser is bidding against themselves in the conventional sense, but it can create reporting overlap because multiple targets may be eligible for related auctions.

A practical structure is:

• Broad match for discovery

• Phrase match for controlled expansion

• Exact match for proven shopping queries

Avoid assuming that exact match will always receive every exact-looking search. Amazon’s auction considers relevance, bids, predicted performance and other eligibility signals.

Where strict traffic routing is required, negative keywords can be used to reduce overlap. However, aggressively adding harvested searches as negatives to discovery campaigns can restrict useful variations and reduce future learning.

Traffic isolation should therefore have a clear measurement purpose rather than being applied automatically.

Sponsored Brands Keyword Matching

Sponsored Brands keyword targeting uses semantic matching as well as conventional keyword matching. Amazon may connect keywords with searches that have equivalent meaning, even where the wording is different.

Sponsored Brands also supports a broad-match modifier. Adding a plus sign before a word tells Amazon that the specified word must be present in the shopping query.

For example:

+kids shoes

may match:

• Running shoes for kids

• Kids sports trainers

• School shoes for kids

It should not match a query that contains no reference to children.

Broad-match modifiers can be useful when one word is essential to relevance, such as:

• Gender

• Intended user

• Material

• Product type

• Size

• Compatibility

They should not be confused with the former modified broad-match system previously used by Google Ads. The behaviour and availability are specific to Amazon’s Sponsored Brands targeting.

How to Find Amazon Ads Keywords

Keyword research should combine Amazon’s own shopping data with commercial knowledge of the product.

Useful sources include:

• Amazon’s suggested keywords

• Sponsored Products search-term reports

• Sponsored Brands search-term reports

• Automatic campaign results

• Brand Analytics, where available

• Search Query Performance data, where available

• Amazon autocomplete suggestions

• Organic search-term data

• Competitor product titles and categories

• Product reviews and customer questions

• Common use cases, problems and features

• Seasonal searches

• Product compatibility terms

• Size, colour, material and audience modifiers

Keywords from Google Ads or SEO tools can provide ideas, but they should not be copied without validation. Google searches and Amazon shopping queries represent different environments and can reflect different levels of purchase intent.

A search such as how to make better coffee may be valuable for a search engine content strategy but weak for an Amazon product advert. Conversely, a highly specific Amazon query containing size, material and product type may have modest search volume but strong buying intent.

Keyword Categories to Separate

Different keyword groups should normally be measured independently because they represent different customers and levels of demand.

Branded Keywords

These include the advertiser’s brand and product names.

Branded campaigns can:

• Defend search visibility

• Support product launches

• Direct shoppers to a Brand Store

• Promote a broader product range

• Reduce competitor encroachment

They often achieve a low ACoS because the shopper already knows the brand. This efficiency should not be confused with incremental customer acquisition.

Generic Category Keywords

These describe the product without naming a brand, such as:

• Insulated travel mug

• Organic dog treats

• Waterproof hiking backpack

Generic searches usually offer more new-customer potential but face stronger competition and lower conversion rates than branded traffic.

Competitor Keywords

Competitor targeting uses other brands or product names where policy and relevance permit.

It can support customer acquisition, but performance depends on whether the advertised product offers a credible alternative. A weaker price, review profile or delivery proposition will normally make competitor traffic expensive.

Feature and Benefit Keywords

These describe important product attributes or customer outcomes, such as:

• Dishwasher-safe lunch box

• Lightweight cabin suitcase

• Sensitive-skin moisturiser

• Extra-long charging cable

They often indicate more developed purchase intent than broad category searches.

Use-Case and Audience Keywords

These focus on the person, occasion or problem:

• Gifts for new homeowners

• Running watch for beginners

• Travel pillow for long flights

• School water bottle for children

These searches can uncover valuable long-tail demand but need close monitoring because relevance can vary considerably.

Product Targeting with ASINs and Categories

Product targeting is available for Sponsored Products and Sponsored Brands. Sponsored Display also uses products and categories as part of contextual targeting.

Instead of selecting a keyword, the advertiser targets:

• Specific ASINs

• Product categories

• Brands

• Refined groups of products

Product-targeted adverts can appear on product detail pages and other relevant shopping placements.

Product targeting is particularly valuable because it reaches shoppers while they are comparing products rather than relying entirely on a typed search.

Individual ASIN Targeting

ASIN targeting allows the advertiser to select particular products.

Potential strategies include:

• Targeting direct competitors

• Advertising against higher-priced alternatives

• Targeting products with weaker reviews

• Cross-selling related products

• Upselling to a premium version

• Defending the advertiser’s own product pages

• Promoting refills, accessories or replacements

• Targeting products that generated sales in automatic campaigns

ASIN selection should be based on the customer proposition, not similarity alone.

When evaluating a competitor ASIN, compare:

• Price

• Ratings and review volume

• Delivery

• Prime eligibility

• Images and video

• Product features

• Pack size

• Variations

• Promotions

• Stock availability

An ASIN may be closely related yet commercially unattractive to target. If the competing product is cheaper, better reviewed and more established, similarity alone will not make the placement profitable.

Category Targeting

Category targeting provides broader reach across groups of related products.

Depending on the advertising format and marketplace, categories may be refined using criteria such as:

• Brand

• Price range

• Review rating

• Prime-shipping eligibility

• Other product attributes

Use the narrowest commercially meaningful category rather than selecting a broad parent category by default.

Category targeting can be useful for:

• Launching new products

• Increasing category visibility

• Finding productive ASIN placements

• Reaching a wider consideration audience

• Advertising in unfamiliar-language marketplaces

• Testing competitor groups

• Cross-selling across related categories

Broad categories should generally begin with conservative bids. Once the matched-product or targeting data identifies profitable ASINs, those products can be moved into dedicated targets with their own bids.

Own-ASIN Targeting

Targeting your own product detail pages can help retain shoppers within your catalogue.

Common uses include:

• Cross-selling related products

• Promoting multipacks

• Upselling premium versions

• Showing alternative sizes or colours

• Defending detail pages from competitors

• Supporting repeat purchases and refills

Own-ASIN targeting can generate strong reported efficiency, but some sales may have happened without the advert. Evaluate it separately from competitor acquisition so brand defence is not mistaken for incremental growth.

Competitor ASIN Targeting

Competitor product targeting attempts to intercept shoppers while they compare another product.

The most promising targets often include competitors with:

• A higher price

• Weaker ratings

• Fewer reviews

• Slower delivery

• Missing features

• Stock problems

• An inferior pack size or warranty

• A product that your offer clearly improves upon

Competitor campaigns should normally be separated from own-brand and category targeting. They have different conversion rates, strategic purposes and acceptable ACoS levels.

Complementary Product Targeting

Complementary targeting reaches shoppers viewing products commonly used with the advertised item.

Examples include:

• Lens filters targeting camera lenses

• Coffee pods targeting compatible machines

• Tablet cases targeting tablets

• Cleaning products targeting appliances

• Replacement parts targeting compatible equipment

Compatibility must be explicit and accurate. Paying for clicks from shoppers whose existing product cannot use the advertised accessory is avoidable waste and can also create a poor customer experience.

Negative Keyword Targeting

Negative keywords prevent adverts from appearing for specified shopping queries.

The two principal negative match types are:

• Negative phrase

• Negative exact

Negative Phrase

Negative phrase blocks searches containing the selected phrase or close variations, even when additional words appear before or after it.

This option has a wide blocking effect and should be used carefully.

For example, negatively matching replacement filter as a phrase could block multiple searches involving that full concept. That may be appropriate if the advertised product is not a replacement filter, but damaging if some longer replacement-filter searches are relevant.

Negative Exact

Negative exact blocks the selected search or a close variation without necessarily excluding every longer search containing the same words.

It is useful for:

• Isolating a specific irrelevant query

• Routing a proven search to another campaign

• Excluding a poorly performing exact search

• Reducing overlap without blocking an entire topic

Negative exact is normally safer when the problem concerns one specific shopping query.

Negative Product and Brand Targeting

Negative product targeting prevents adverts from appearing against selected products or product groups.

It can be used to exclude:

• Irrelevant ASINs

• Incompatible products

• Consistently unprofitable placements

• The advertiser’s own ASINs where cross-selling is unwanted

• Products outside the required price or quality position

• Brands that do not fit the strategy

Amazon supports negative targeting in both automatic and manual Sponsored Products campaigns. Negative options are also available for relevant Sponsored Brands targeting methods. Exact controls can vary by campaign format and interface.

Do not exclude a product after one expensive click. Evaluate whether the target has received enough traffic to make a commercially defensible decision.

Sponsored Brands Targeting

Sponsored Brands can promote a brand, product collection, Store or individual product using static or video creative.

The main targeting approaches include:

• Manual keyword targeting

• Product and category targeting

• Theme targeting

• Negative targeting

With standard manual setup, Sponsored Brands campaigns generally use one main targeting type—keyword or product targeting. Use separate campaigns when both methods are required.

Keyword targeting is useful for reaching shoppers actively searching for a category, brand or product. Product targeting extends Sponsored Brands visibility into relevant product and category environments.

Sponsored Brands Theme Targeting

Theme targeting is a model-based approach that groups and continually optimises related keywords. It uses Amazon shopping insights, the brand, advertised products and landing page to identify relevant traffic.

Available themes can include:

• Keywords related to the brand

• Keywords related to the landing page

Theme targeting can simplify campaign creation and provide additional reach, particularly for Brand Store or top-of-search strategies. However, it provides less query-level control than a tightly managed manual keyword campaign.

Use it as a separate campaign or test so that automated theme performance can be compared against manual keywords. Availability depends on marketplace, campaign goal and advertiser eligibility.

Amazon provides more information about its current Sponsored Brands targeting options.

Sponsored Display Contextual Targeting

Sponsored Display has expanded Amazon targeting beyond conventional shopping keywords.

Contextual targeting allows advertisers to select products or categories associated with the content or product environment the shopper is viewing.

It can be used to:

• Target specific products

• Target relevant categories

• Reach shoppers considering similar products

• Promote complementary products

• Cross-sell and upsell

• Expand product-detail-page coverage

Depending on the campaign and marketplace, category targeting may be refined by criteria such as brand, price and Prime-shipping eligibility.

Contextual targeting differs from remarketing. It reaches people based on what they are currently viewing or the environment in which the advert appears—not necessarily because they previously interacted with the advertiser’s products.

Sponsored Display Audience Targeting

Audience targeting reaches shoppers based on Amazon’s shopping, browsing, streaming and entertainment signals.

Options can include:

• Amazon audiences

• Views remarketing

• Purchases remarketing

• Similar-product engagement

• In-market audiences

• Lifestyle audiences

• Interest-based audiences

• Life-event audiences

Amazon audiences can help brands reach prospective customers beyond immediate product searches. Sponsored Display audience adverts may appear within Amazon and across eligible third-party websites, apps and Amazon-owned properties such as Twitch.

The precise inventory and segments available depend on the campaign, marketplace and account.

Views Remarketing

Views remarketing reaches people who viewed:

• The advertiser’s products

• Similar products

• Relevant product detail pages

This can re-engage shoppers who considered a product but did not purchase.

Views remarketing often works best when:

• The product has a longer consideration period

• Competitors offer similar alternatives

• The advertised item has a strong review and price proposition

• Shoppers commonly compare several products

• The campaign excludes unsuitable recent purchasers where possible

Remarketing cannot repair a weak product offer. If people viewed the product but rejected it because of price, reviews or delivery, showing the same proposition repeatedly may simply increase spend.

Purchases Remarketing

Purchases remarketing can reach people who previously purchased the advertiser’s products or relevant complementary products.

It is particularly useful for:

• Consumable products

• Replenishment

• Replacement parts

• Product accessories

• Cross-selling

• Customer retention

• Seasonal repeat purchases

Purchase windows should reflect the real repurchase cycle. Advertising a long-life product to recent buyers immediately after purchase may waste spend unless there is a clear accessory or cross-selling opportunity.

Sponsored Display Optimised Targeting

For eligible conversion-focused campaigns, Amazon offers optimised targeting that dynamically attempts to reach people likely to engage or convert.

Advertisers may be able to use optimised targeting alone or combine it with manual contextual or remarketing targets.

Optimised targeting can increase scale and uncover audiences that manual selections miss. However, it should have:

• A defined campaign objective

• A controlled budget

• Accurate conversion measurement

• Sufficient time to learn

• Separate reporting from manual audience tactics

• Commercial targets based on margin

Do not assume that automated expansion is profitable merely because Amazon predicts a higher likelihood of conversion. The advertiser still needs to evaluate ACoS, ROAS, new-to-brand performance, contribution margin and total sales impact.

Amazon outlines its current Sponsored Display targeting and audience options.

Amazon DSP Targeting

Amazon DSP is a more advanced programmatic advertising platform and should not be confused with standard sponsored ads.

It can be used by businesses that sell on Amazon and by advertisers that do not.

Targeting capabilities can include:

• Amazon first-party audiences

• Advertiser audiences

• Third-party audiences

• Remarketing

• Purchase and browsing signals

• Streaming and entertainment signals

• Demographic and interest-based segments

• Product and category context

• Keywords and content context

• Geographic targeting

• Audience inclusion and exclusion combinations

Amazon DSP can reach audiences across Amazon properties and eligible third-party inventory using display, video, audio and streaming formats.

It is generally better suited to brands with larger budgets, suitable creative assets and a requirement for full-funnel or programmatic advertising. Sponsored Products should not be replaced by DSP when the primary objective is simply to capture high-intent Amazon shopping searches.

A Practical Amazon Ads Targeting Structure

A scalable account normally separates targeting according to intent, source and commercial purpose.

An example Sponsored Products structure could include:

Automatic Discovery

Use separate bids for close match, loose match, substitutes and complements. Its purpose is to discover new queries and product placements.

Generic Broad and Phrase Keywords

Use these for controlled expansion and long-tail discovery. Add negatives where reporting identifies genuinely irrelevant traffic.

Proven Exact Keywords

Move consistent, commercially valuable shopping queries into exact-match structures with dedicated bids and budgets.

Branded Keywords

Separate brand traffic from generic acquisition so reported efficiency does not distort prospecting performance.

Competitor Keywords

Measure competitor conquesting independently because it usually converts differently from brand and category searches.

Category Product Targeting

Use category targets to identify productive areas of the catalogue. Refine them where possible and begin with controlled bids.

Competitor ASIN Targeting

Create dedicated campaigns or ad groups for direct alternatives. Group targets by similar commercial characteristics.

Own-ASIN Defence and Cross-Selling

Keep own-product targeting separate so defensive and repeat-customer sales are not reported as new-customer acquisition.

Sponsored Brands

Separate manual keyword, product and automated theme strategies. Measure new-to-brand performance alongside direct ROAS.

Sponsored Display

Separate contextual targeting, views remarketing, purchase remarketing and broader audience acquisition.

The purpose of segmentation is not to create the maximum possible number of campaigns. It is to ensure that targets with different economics can be controlled and measured independently.

For broader planning, see our Amazon Ads strategy guide.

Turning Automatic Targets into Manual Campaigns

Search-term and matched-product data should create an ongoing feedback loop.

Review the Actual Match

Identify the shopping query or product placement—not merely the automatic targeting group that produced it.

Confirm Commercial Relevance

Ask whether the search or product target represents the same customer, use case and price position as the advertised item.

Evaluate Performance

Review:

• Clicks

• Spend

• Orders

• Sales

• Conversion rate

• CPC

• ACoS

• ROAS

• New-to-brand performance where available

• The product’s break-even ACoS

Promote Proven Opportunities

Move strong searches into manual keyword targeting and productive ASINs into manual product targeting.

Set an Appropriate Bid

Do not simply copy Amazon’s suggested bid. Calculate what the target can afford based on conversion rate, order value and contribution margin.

Decide Whether to Add a Negative

Add a negative to the discovery campaign only when there is a clear need to isolate traffic or prevent waste. Leaving the target discoverable may continue to uncover useful variations.

Targeting Reports to Use

The most important reports for targeting decisions include:

• Search-term report

• Targeting report

• Keyword report

• Matched-target report

• Placement report

• Advertised-product report

• Purchased-product report

• Search-term impression-share report, where available

The search-term report shows the customer searches that generated clicks. The targeting report shows performance at keyword, product or category target level. These are related but not interchangeable.

For example, one broad keyword may match dozens of customer searches with very different conversion rates. Pausing the entire keyword could remove both poor and highly profitable traffic. Adding carefully chosen negatives or promoting strong queries to exact match provides more control.

The matched-target report can reveal product detail pages where contextual or product-targeted adverts received clicks. Productive ASINs can then be converted into deliberate targets.

Our Amazon Ads reporting guide explains how to evaluate these reports alongside ACoS, ROAS, total sales and contribution margin.

Set Targeting Decisions from Product Economics

A low ACoS is not automatically good, and a high ACoS is not automatically bad. Performance must be compared with product margin and campaign purpose.

A simplified break-even calculation is:

Break-even ACoS = contribution margin before advertising ÷ sales revenue

If a product generates £100 of net sales and contributes £30 after product costs, Amazon fees, fulfilment, discounts and expected returns—but before advertising—the approximate break-even ACoS is 30%.

An exact keyword producing a 24% ACoS may therefore be profitable, while another product with a 15% contribution margin would lose money at the same advertising efficiency.

Brand defence, product launches and new-customer acquisition may justify different targets, but those decisions should be deliberate.

Targeting Is Not the Same as Placement

Targeting determines the searches, products, categories or audiences that can make an advert eligible.

Placement determines where the eligible advert appears.

Amazon placements can include:

• Top of search

• Rest of search

• Product pages

• Other Amazon or eligible third-party inventory, depending on format

A keyword may perform well at top of search and poorly on product pages. That does not necessarily mean the keyword itself should be paused.

Review targeting and placement reports separately. Adjust target bids, placement controls and budgets according to the actual source of performance.

Common Amazon Ads Targeting Mistakes

Treating Automatic Targeting as a Complete Strategy

Automatic campaigns can discover opportunities, but they do not replace search-term analysis, manual control and commercial segmentation.

Using One Bid for Every Automatic Group

Close match, loose match, substitutes and complements represent different types of traffic. One default bid can overpay for weak discovery while restricting valuable traffic.

Combining Brand and Generic Traffic

Branded searches commonly convert more efficiently. Combining them with generic acquisition hides the true cost of reaching new shoppers.

Copying Google Keywords Directly into Amazon

Search-engine queries and Amazon shopping queries do not always represent the same intent. Validate keyword ideas using Amazon data.

Assuming Exact Match Is Completely Exact

Amazon can include close variations. Always review actual search terms.

Adding Negatives Too Aggressively

A negative phrase can block many useful searches. Use negative exact when the problem is limited to one query.

Targeting Every Competitor ASIN

Similarity does not equal opportunity. Prioritise competitors where the advertised product has a genuine commercial advantage.

Ignoring Own-Product Placements

Competitors can advertise on your product pages. Own-ASIN defence and cross-selling can help retain shoppers within the catalogue.

Optimising Before There Is Enough Evidence

One click or one order rarely proves that a target is good or bad. Consider click volume, conversion rate, order value, attribution delay and the financial risk of collecting more data.

Ignoring the Product Detail Page

Targeting can generate qualified traffic, but it cannot force shoppers to accept an uncompetitive price, weak reviews, poor images or slow delivery.

Following Every Suggested Target or Bid

Amazon’s recommendations can accelerate campaign creation, but they do not know the advertiser’s complete costs, cash flow, stock priorities or profit requirements.

Amazon Ads Targeting Best-Practice Checklist

Use this checklist when reviewing an account:

• Define the commercial goal for every campaign

• Calculate break-even and target ACoS by product group

• Confirm stock and Featured Offer eligibility

• Audit product detail pages before increasing traffic

• Separate branded, generic and competitor targeting

• Set individual bids for automatic targeting groups

• Use automatic targeting as a discovery engine

• Review customer search terms rather than keywords alone

• Promote proven queries into manual exact match

• Promote productive ASINs into manual product targeting

• Use category refinements where available

• Separate own-ASIN, competitor and complementary targeting

• Apply negative phrase keywords cautiously

• Use negative exact for precise exclusions

• Review placements independently from targets

• Separate contextual targeting from remarketing

• Measure Sponsored Brands with new-to-brand metrics

• Evaluate ACoS and ROAS against contribution margin

• Monitor total Amazon sales as well as attributed sales

• Keep automation under commercial supervision

Final Thoughts

Amazon Ads targeting is now a connected system of keywords, products, categories, contexts and audiences.

Sponsored Products automatic targeting can discover demand. Manual keywords and ASIN targeting provide greater bid and budget control. Sponsored Brands can expand brand visibility through keywords, product targets and themes. Sponsored Display extends the strategy into contextual placements, remarketing and audience acquisition. Amazon DSP provides more advanced programmatic reach where the budget and use case justify it.

The strongest targeting strategy is therefore not automatic versus manual. It is a structured combination of both:

• Use automation to discover

• Use manual targeting to control

• Use negatives to remove proven waste

• Separate traffic with different intent and economics

• Set bids from margin and conversion performance

• Improve the retail proposition as well as the campaigns

• Measure total business growth, not only attributed advertising sales

Targeting should become more precise as evidence accumulates, but discovery should never stop. Customer searches, competitors, prices and shopping behaviour continue to change. A well-managed Amazon Ads account uses those changes as a source of new growth while protecting profitability.

Explore our complete Amazon Ads guides or learn more about our Amazon Ads management services.