Amazon PPC Campaign Structure: A Simple 2026 Blueprint

A good Amazon PPC campaign structure separates campaigns by product and by targeting type, so each campaign has one job and one budget. For most products, that means a portfolio per product containing an auto campaign, a broad or phrase research campaign, an exact match campaign and a product targeting campaign. Proven search terms move from the research campaigns into exact match, and get negated where they came from.

Key takeaways

• Structure by product first (portfolios), then by targeting type (campaigns), then by keyword theme (ad groups).
• Keep discovery campaigns (auto, broad, phrase) separate from performance campaigns (exact, ASIN).
• One product or one tight product family per ad group, so you know which ASIN earned each sale.
• Use a strict naming convention. It saves hours in reports and bulk files.

Why structure matters

Amazon reports, budgets and bidding strategies all work at the campaign level. If one campaign mixes exact keywords, broad keywords and competitor ASINs, three things go wrong:

1. Budget gets eaten by the weakest traffic. Broad terms and competitor ASINs often spend fastest and convert worst.
2. You cannot set the right bidding strategy. You might want up and down on proven exact keywords but down only on discovery traffic.
3. Reports become hard to read. You cannot tell which part of the campaign is profitable.

A clean structure fixes this by giving each traffic type its own container.

The building blocks

You find portfolios in the Ads console under Campaign Manager > Portfolios. When you create a campaign, you can assign it to a portfolio in the settings.

A simple structure for one product

Here is the core set of Sponsored Products campaigns most sellers use for each product. Product here means one parent ASIN, or a tight group of variations that share keywords.

1. Auto campaign

Amazon chooses where to show the ad based on your listing. You can bid separately on the four targeting groups: close match, loose match, substitutes and complements. Start with similar bids, then raise the groups that convert and lower the ones that don't. Our guide to auto campaign targeting groups covers each one.

2. Broad and phrase research campaign

Add 10–30 core keywords in broad and phrase match. Broad match finds the widest set of related searches. Phrase match keeps the words in order but allows extra words around them. Many sellers put broad and phrase in separate ad groups within one campaign, or in separate campaigns if budgets need to differ. See Amazon keyword match types for how each one behaves.

3. Exact match campaign

This is where proven search terms live. Each keyword gets its own bid based on its own conversion rate. Group keywords into ad groups by theme, such as "size", "material" or "use case", so similar terms share sensible default bids. Your best few keywords can have their own campaign if they need a protected budget.

4. Product targeting campaign

Target competitor ASINs where your product compares well on price, rating or reviews. You can also target categories, refined by price range, star rating or brand. Keep this separate from keyword campaigns because product-page traffic behaves differently from search traffic.

5. Branded campaign

If shoppers search your brand name, a cheap exact match campaign on your brand terms protects that traffic from competitors. Keep it separate so its very low ACoS does not hide poor performance elsewhere.

The flow: from discovery to exact

The structure only works if search terms move through it. This process is usually called keyword harvesting.

1. Run the search term report for your auto and broad/phrase campaigns (see keyword harvesting).
2. Find search terms with orders and an ACoS at or below your target.
3. Add each winner as an exact keyword in the exact campaign.
4. Add the same term as a negative exact in the auto and research campaigns it came from.
5. Negate clearly irrelevant terms in the discovery campaigns.

Step 4 is the one sellers skip. Without it, the same search term triggers ads from two or three of your campaigns. You compete with yourself, and the data splits across campaigns.

Our Search Term Report Analyzer flags harvest candidates and terms to negate in one pass.

Naming conventions

A naming convention lets you filter in Campaign Manager and in bulk sheets in seconds. Pick one pattern and use it everywhere. A common format:

[Brand] | [Product/SKU] | [Ad type] | [Targeting] | [Match/Theme]

Examples:

• BrandX | Bamboo Sheet Queen | SP | Auto
• BrandX | Bamboo Sheet Queen | SP | KW | Exact
• BrandX | Bamboo Sheet Queen | SP | KW | Broad
• BrandX | Bamboo Sheet Queen | SP | ASIN | Competitors

Keep the order of fields fixed. Avoid dates in names, because campaigns outlive their launch dates.

Setting budgets across the structure

Budgets should follow the job of each campaign. Exact and branded campaigns usually deserve the most budget because they convert best. Discovery campaigns get enough to keep finding terms, but not so much that they starve the winners.

Worked example

Say you have $60 a day for one product that sells for $34.99, with a target ACoS of 25%.

At a 25% ACoS, $60 of daily spend should bring about $240 in ad sales ($60 / 0.25), or about 7 orders a day at $34.99. If the exact campaign runs out of budget by early afternoon while hitting target ACoS, move budget into it from the weakest campaign. If the auto campaign hits 40% ACoS for two weeks, cut its bids before you cut its budget.

To check that 25% is actually profitable for your product, run your price and fees through the Break-even ACoS & Max Bid Calculator.

Scaling the structure across many products

The same pattern works for a large catalog, with a few adjustments:

• Group variations. Sizes and colors of one parent can share campaigns if they share keywords. Separate them if one variation converts much better or has different margins.
• Use portfolios per product line. It keeps Campaign Manager readable and makes budget caps easy.
• Use bulk operations. Build and edit campaigns in a spreadsheet under Campaign Manager > Bulk operations, instead of clicking through hundreds of screens.
• Standardize negatives. Words like "used", "free" or "repair kit" are irrelevant for many products. Keep a shared list and apply it at campaign level.

Where Sponsored Brands and Sponsored Display fit

Sponsored Products usually carries most of the spend for private-label sellers. Sponsored Brands (headline, video and store spotlight ads) and Sponsored Display (retargeting and product-page placements) sit alongside it, each in its own campaigns. Keep the same naming pattern and portfolio grouping so you can compare all ad types for one product. Give each one a clear job, such as brand awareness or retargeting, and judge it against that job.

Common structure mistakes

• One giant campaign with everything in it. You lose control of budgets and bidding strategies.
• Unrelated products in one ad group. Amazon picks which ad to show, and the weaker product may get the clicks.
• No negatives between campaigns. Search terms spread across auto, broad and exact, and you bid against yourself.
• Too many tiny campaigns. Splitting every keyword into its own campaign spreads budget so thin that nothing gathers enough data. Split only when a target needs its own budget or strategy.
• Changing structure constantly. Every rebuild resets learning and makes trends impossible to read. Make structural changes in planned batches.

Bottom line

Organize by product, then by targeting type, then by keyword theme. Let auto, broad and phrase campaigns discover terms, move the winners into exact match, and negate them where they came from. Name everything the same way and give the most budget to the campaigns that convert best.

Frequently asked questions

Amazon fees, policies and features change often. Figures here were checked in October 2026; confirm current rates in Seller Central before making pricing or budget decisions. Sotrics is not affiliated with Amazon.