The Best Amazon PPC Campaign Structure: 4 Methods to Maximizing ROI & Control
How to Choose the Best Amazon PPC Campaign Structure (2025 Guide)
Introduction
Structuring your Amazon PPC campaigns properly is one of the foundational steps to driving efficient advertising performance.
The campaign structure you choose determines how much control you have over bids, budgets, targeting, and how granular your reporting will be.
In this guide, we’ll break down the major structures, show when each works best, and provide a recommended “campaign stack” you can launch today.
Why Campaign Structure Matters
Your campaign structure affects:
Control vs aggregation tradeoff – More segmented structures let you tailor bids at the product-keyword level; more aggregated structures simplify management but reduce specificity.
How data is displayed and interpreted – The structure dictates whether you see performance at the campaign level, ad group level, product level or deeper.
Ability to scale – Some structures are manageable at small catalog sizes; others become unwieldy past certain SKU counts.
In short:
Choose a structure that balances how much control you want vs how many campaigns you can realistically manage.
4 Core Amazon PPC Campaign Structure Types
Campaign Structures
1️⃣ Multi-Product Ad Groups
2️⃣ Single Product Ad Groups (SPAGs)
3️⃣ Single Product Campaigns
4️⃣ Single Keyword Campaigns
Description:
1 Campaign → 1+ Ad Group(s) → multiple products per ad group
1 Campaign → multiple ad groups → each ad group has 1 product
1 campaign → 1 ad group → 1 product → Multiple keywords
1 campaign → 1 ad group → 1 product → 1 keyword
Granularity Level:
Most aggregated
Somewhat aggregated
More segmented
Most granular
Best For:
Very large catalogs, >5K SKUs
Catalogs with 500-5K SKUs
Smaller catalogs 1-500 products; More advanced advertisers
VIP, ranking, high-volume search terms
1️⃣ Multi-Product Ad Groups
In this structure, the key point here is that you have multiple products within a single ad group.
You may have multiple ad groups in the campaign, but for each ad group, you are aggregating the data across multiple products to have greater data confidence on individual keywords.
With this structure, you don’t have the data segmentation needed in order to see the performance of individual product-to-keyword pairings, or said another way, you won’t know what ASIN is getting sales on which keyword.
This structure is best utilized when you are, for example, an apparel brand with thousands and thousands of SKUs and variations from all the different sizes and colors that you sell.
2️⃣ Single Product Ad Groups
In this structure, you would still have multiple products in a single campaign, but each product would be segmented into it’s own ad group, targeting it’s own set of keywords.
This structure ensures that all the keyword data in an ad group is specific to the one product in the ad group, and that you can tailor all the optimizations and bid changes to a specific keyword-to-product pairing.
This structure works very well for parent ASINs with multiple variations, like protein powders that come in multiple size containers.
It allows you to group up your campaigns by Parent, and still have the segmentation to view performance at the product level, and bid independently on specific keyword-to-product pairings.
So for example, if you have a chocolate protein powder and a vanilla protein powder, you can bid more aggressive on the “chocolate protein powder” terms in the ad group containing your chocolate protein powder, and less aggressively on “vanilla protein powder” terms, allowing your vanilla protein powder take those placements. And vice versa.
The single product ad group structure provides a not more simplicity in your campaigns, without making things too overwhelming, but it does have some minor drawbacks.
It will generally get you 95% of the way to optimal performance.
The one potential downside to this structure is that all of the placement data is going to be an aggregate of all the products in the campaign.
So if you have multiple different price point items in the same campaign, the placement optimizations may be less precise, however, still generally yield great results.
3️⃣ Single Product Campaigns
In a Single Product Campaign structure, you get one more layer of specificity in your data.
You are able to view an individual product’s performance data at the campaign level, rather than having to click into the campaign and evaluate a product’s performance at the ad group level like in a SPAG campaign.
One other advantage is that any and all placement data within the campaign is related to one product only, as opposed to a SPAG campaign having multiple products in it.
This structure is generally reserved for more advanced Amazon PPC managers, as it can produce an overwhelming number of campaigns, depending on the size of your catalog.
4️⃣ Single Keyword Campaigns
In addition, there is the Single Keyword Campaign (most segmented): 1 campaign, 1 ad group, 1 product, 1 keyword.
This gives maximum clarity, but is usually reserved only for your top, most critical keywords because it becomes unmanageable across a full catalog.
Segmenting your entire account into single keyword campaigns can get overwhelming very quickly and thinly spread your data across thousands of campaigns, making it nearly impossible to interpret and optimize.
Single Keyword Campaigns give you the maximum level of control, allowing you to manage the placement settings and bids on a specific keyword for a specific product.
Should You Segment by Match Type?
Yes — it’s generally best practice to separate exact match campaigns from broad/phrase / expanded targeting campaigns.
This lets you split discovery / keyword harvesting from performance campaigns, and adjust bids or strategies independently.
For example:
- Use a “Broad / Phrase / Expanded” campaign to discover new keyword opportunities
- Use an “Exact” campaign to scale performance on proven high-converting terms
- Use negative keywords to prevent overlap between brand and non-brand campaigns (i.e. negate brand terms in your broad non-brand campaigns)
This layering improves clarity and avoids cannibalization between match types and tactics.
What Campaigns to Launch for Your Product?
A general framework you can start with for any one ASIN/group of ASINs is as follows:
- Auto campaign
- Broad/Phrase match campaign
- Exact match campaign
- Expanded product targeting campaign
- Exact product targeting campaign
You also don’t have to apply the same structure for every product in your catalog. You can mix structures: for high-priority SKUs, use a more granular setup; for less important ones, use aggregated setups to reduce lift.
How to Decide Which Structure to Use
Here are some guidelines for selecting structure based on your size, goals, and resources:
Small catalogs (e.g. < 100 SKUs): Starting with Single Product Campaigns gives you clean control and insight without too much overhead.
Medium catalogs (100 – 200 SKUs): SPAG (Single Product Ad Groups) is often a sweet spot: sufficient segmentation without exploding campaign count.
Large catalogs (hundreds or thousands of SKUs): Use aggregated structures or multi-product ad groups, possibly augmented by finer segmentation only for top sellers.
Flagship / priority SKUs: Even in a large catalog scenario, you can isolate top products and build dedicated, granular campaigns around them for more control, visibility and scaleability.
If control is your top priority: Push segmentation (SPAG and/or SPC) in your core structure
If simplicity / maintainability is more important: Lean toward aggregated/multi-product ad group grouping
Implementation Tips & Best Practices
Use negative keywords to avoid branded keyword cannibalization across campaigns and ensure your structure is “clean” and organized.
Don’t try to shift all of your spend to new, ultra-segmented structure immediately — test with a small batch of SKUs first, and gradually pick up the bids on new campaigns to transition spend.
Use a campaign naming tool to define how campaigns and ad groups are named and maintain consistency for clarity.
Quickly name & launch new campaigns while maintaining consistency
Final Word
There are multiple types of campaign structures that you can leverage in Amazon PPC, and knowing which one to use based on your account and comfortability managing campaigns is a vital decision.
You need to determine what level of segmentation you need, which largely dictates how you can analyze and interpret your data.
We generally recommend single product campaigns as a general rule of thumb for most accounts if you don’t have more that 100-200 products in the catalog.
As you start to branch into higher product counts, using a more aggregated structure may be more necessary.
You also don’t have to pick one structure and use it across the entirety of an account. You can have multiple structures present in a single account. Perhaps you have specific products that are very important where you want to use a more granular structure, and others that are less important that could stay in SPAG campaigns.
Knowing what to use and when is an art, and varies on a case by case basis.
We hope this article brings some insight and clarity to your campaign setup process and what structure you should be using, when.
If you feel we are missing any information, or have questions, please be sure to let us know 🙂
And finally, here’s another episode of That Amazon Ads Podcast where we provide an overview of campaign structure that you main gain some insights from:
Discover how the auto-manual "hybrid" approach to Amazon PPC instantly improves performance 📈
