Amazon PPC Match Types Explained: Broad vs Phrase vs Exact (2026 Guide)

# Amazon PPC Match Types Explained: Broad vs Phrase vs Exact (2026 Guide)

Understanding Amazon's advertising match types is the single most important skill for running profitable PPC campaigns. The difference between a seller who wastes $500/month on irrelevant clicks and one who turns every dollar into $5 of revenue often comes down to match type strategy.

This guide covers every match type available in Sponsored Products campaigns, including the four auto-targeting groups most sellers ignore. You will learn exactly when to use each type, how to allocate budget, and the costly mistakes to avoid.

What Are Match Types and Why Do They Matter?

When you create a manual keyword-targeted campaign on Amazon, you choose a match type for each keyword. The match type controls how broadly or narrowly Amazon interprets your keyword when deciding which shopper searches trigger your ad.

Choose too broad, and you pay for clicks from shoppers who will never buy your product. Choose too narrow, and you miss thousands of relevant searches you never considered. The right strategy uses all match types together in a structured way.

Exact Match: Precision Targeting

Exact match shows your ad only when a shopper's search query matches your keyword precisely or with very close variations (plurals, minor misspellings, abbreviations).

Keyword: "silicone spatula set"

Will trigger for: "silicone spatula set", "silicone spatula sets", "silicon spatula set"

Will NOT trigger for: "red silicone spatula set", "silicone spatula", "spatula set silicone"

When to Use Exact Match

• Proven converters — Keywords you have confirmed convert at a profitable ACoS through your search term reports
• Brand defense — Your own brand name and product names
• High-intent keywords — Terms with strong purchase intent where you want maximum bid control

Bidding on Exact Match

Exact match keywords deserve your highest bids because they deliver the most predictable performance. A common starting point:

• Calculate your break-even bid: Target ACoS × Average Order Value ÷ 100
• For a $25 product with a 30% target ACoS: $25 × 0.30 = $7.50 max CPC (theoretical)
• Typical exact match bids range from $0.50 to $2.50 depending on category competitiveness

Because you know exactly what search query triggered the click, exact match gives you the cleanest data for optimization decisions.

Phrase Match: The Middle Ground

Phrase match shows your ad when the shopper's query contains your keyword in the correct word order, with additional words allowed before or after.

Keyword: "silicone spatula set"

Will trigger for: "red silicone spatula set", "silicone spatula set for cooking", "best silicone spatula set 2026"

Will NOT trigger for: "spatula silicone set", "silicone cooking spatula set", "silicone spatula"

When to Use Phrase Match

• Discovery phase — When you want to find long-tail variations of a keyword you believe converts
• Category research — Understanding how shoppers modify a core search term
• Expanding proven keywords — Taking an exact match winner and finding related queries

Phrase Match Strategy

Run phrase match campaigns alongside your exact match campaigns. When your search term report reveals a phrase match query converting well, add it as an exact match keyword in your exact campaign. Then negate it in the phrase campaign to avoid paying for it twice.

Typical phrase match bids should be 15-25% lower than your exact match bids for the same root keyword, because conversion rates are generally lower.

Broad Match: Maximum Discovery

Broad match gives Amazon the most freedom to show your ad. It can match synonyms, related terms, and queries where the words appear in any order.

Keyword: "silicone spatula set"

Will trigger for: "rubber cooking utensil set", "kitchen spatula silicone", "non-stick spatula kit", "best spatulas for baking"

Will NOT trigger for: (very little is excluded — Amazon interprets broadly)

When to Use Broad Match

• New product launches — When you do not know which keywords convert yet
• Keyword mining — Deliberately casting a wide net to discover search terms you had not considered
• Low-competition niches — When CPCs are cheap enough that broad exploration is affordable

Broad Match Risks

Broad match is where most ad waste occurs. Without careful management, you will pay for clicks from shoppers searching for completely unrelated products. Every week, review your search term report and add irrelevant terms as negative keywords.

Set broad match bids 30-40% lower than your exact match bids. Budget should be capped and reviewed frequently.

Broad Match Modifier (Historical Note)

Amazon previously offered broad match modifier (using the "+" symbol), but this has been merged into phrase match behavior. If you see old advice about BMM, know that phrase match now covers that functionality.

Auto Targeting: The Four Hidden Match Types

Auto campaigns use Amazon's algorithm to decide which searches trigger your ad. Under the hood, there are four distinct targeting groups, each with its own bid:

1. Close Match

Amazon shows your ad for searches closely related to your product. This is similar to phrase/exact match but Amazon picks the keywords based on your listing content.

Example: Your listing is a "stainless steel water bottle." Close match triggers on "metal water bottle", "steel water flask", "stainless bottle for water."

Recommended bid: Your standard keyword bid minus 10-15%

2. Loose Match

Amazon shows your ad for searches loosely related to your product. This is equivalent to broad match but algorithmically determined.

Example: Same water bottle triggers on "gym accessories", "hiking gear", "drink container."

Recommended bid: 40-50% lower than close match. This is your widest net and generates the most irrelevant traffic.

3. Substitutes

Amazon shows your ad on product detail pages of similar products. This is direct competitor targeting.

Example: Your water bottle ad appears on a competing brand's water bottle listing page.

Recommended bid: Equal to or slightly above close match. These shoppers are actively comparing products and often convert well.

4. Complements

Amazon shows your ad on product detail pages of complementary products. Cross-sell targeting.

Example: Your water bottle ad appears on a listing for a water bottle brush cleaner or a gym bag.

Recommended bid: 20-30% lower than substitutes. Conversion rates are typically lower because the shopper was not searching for your product category.

The Optimal Campaign Structure

The most profitable sellers use a tiered campaign structure that funnels keywords from discovery to precision:

Tier 1: Auto Campaign (Discovery)

• All four targeting groups enabled
• Low bids, especially on loose match
• Purpose: find new keywords and ASINs to target
• Budget: 15-20% of total ad spend

Tier 2: Broad + Phrase Campaign (Research)

• Broad match for untested keyword themes
• Phrase match for proven root keywords needing long-tail expansion
• Purpose: validate keywords before promoting to exact
• Budget: 25-30% of total ad spend

Tier 3: Exact Match Campaign (Performance)

• Only proven, profitable keywords
• Highest bids to win top-of-search placement
• Purpose: maximize revenue from known converters
• Budget: 50-60% of total ad spend

The Negative Keyword Funnel

This structure only works if you use negative keywords to prevent overlap:

1. When a search term converts in your auto campaign, add it as a keyword in your broad/phrase campaign AND add it as a negative exact match in the auto campaign
2. When a search term converts in your broad/phrase campaign, add it as a keyword in your exact campaign AND add it as a negative exact match in the broad/phrase campaign
3. In all campaigns, continuously add irrelevant search terms as negative phrase match keywords

This ensures each search term is only served by one campaign, giving you clean performance data.

Budget Allocation by Match Type

Here is a starting budget framework for a seller spending $1,500/month on PPC:

Adjust these ratios as your campaign matures. New products with few proven keywords should weight more toward auto and broad. Mature products with extensive keyword lists should weight 60-70% toward exact.

Common Match Type Mistakes

Mistake 1: Running Only Exact Match

Sellers who only run exact match campaigns miss 30-50% of relevant search traffic. Amazon shoppers use thousands of query variations, and you cannot predict them all. Always maintain a discovery campaign.

Mistake 2: Never Reviewing Auto Campaign Search Terms

Your auto campaign is a gold mine of data, but only if you mine it. Export search term reports weekly. A tool like SellerPilot AI can automate this analysis and surface high-converting search terms that should be promoted to manual campaigns.

Mistake 3: Same Bid Across All Match Types

Each match type has different expected conversion rates. Bidding $1.00 on exact, phrase, and broad means you are overbidding on broad (wasting money) and underbidding on exact (losing placement).

Mistake 4: Ignoring Negative Keywords

Without negative keywords, your campaigns compete against each other and you pay for the same click twice. Worse, without negating irrelevant terms in broad and auto campaigns, you bleed budget on traffic that will never convert.

Mistake 5: Using Only One Auto Targeting Group

Many sellers leave all four auto groups at the same bid. Substitutes and close match often outperform loose match and complements by 2-3x on ROAS. Set bids independently for each group.

Measuring Match Type Performance

Track these metrics weekly for each match type:

• ACoS (Advertising Cost of Sale): Ad spend ÷ ad revenue. Exact match should have the lowest ACoS.
• Conversion Rate: Orders ÷ clicks. Expect 10-15% for exact, 6-10% for phrase, 3-6% for broad.
• Impressions: If exact match impressions are low, your bids may be too conservative or your keywords too narrow.
• New-to-brand percentage: Broad and auto campaigns typically drive more new-to-brand customers.

Putting It All Together

Start every product with an auto campaign to gather data. After 2-3 weeks with at least 1,000 impressions, export your search term report. Move converting terms into manual campaigns with phrase and exact match. Negate them from auto. Repeat this cycle weekly.

Within 60-90 days, you will have a well-structured campaign set where exact match drives the bulk of your profitable revenue, phrase match continuously discovers long-tail opportunities, and auto/broad campaigns serve as an affordable keyword research engine.

The sellers who master this funnel consistently achieve 15-25% ACoS while their competitors struggle at 35%+ because they never structured their match types properly.