How to Use Amazon Brand Analytics for PPC Targeting in 2026

Most Amazon sellers build PPC targeting based on incomplete signals. Amazon Brand Analytics fills that gap with real shopper data, what people search, which brands win clicks, and where purchases actually land. Used properly, it helps you align ads with true buying intent instead of surface-level metrics. 

This guide shows how to turn Amazon Brand Analytics reports into clear, practical PPC targeting moves that improve relevance, control spend, and drive sales without overcomplicating your campaigns.

What Is Amazon Brand Analytics? 

Amazon Brand Analytics is Amazon’s internal data tool built for brand-registered sellers. It shows how real shoppers behave on Amazon, what they search, which brands they click, and where they finally buy. To access it, your brand must be enrolled in Amazon Brand Registry. Without that, this data stays locked.

What makes ABA different from Search Term Reports or auto campaign data is perspective. PPC reports only show what happens after your ad appears. They’re filtered through bids, placements, and budgets. ABA looks wider. It tracks customer behavior across Amazon, even when no ad is involved. 

A SellerApp analysis found that brands using Amazon Brand Analytics to guide SEO and PPC decisions saw around a 15% lift in organic traffic within three months, driven by better alignment with real shopper search behavior.

Search Term Reports tell you how your ads performed. Auto campaigns show what Amazon’s algorithm tested. ABA shows demand patterns, brand dominance, and purchase intent at the market level. That’s why ABA is more reliable for targeting decisions. It’s based on how customers naturally search and buy, not just how they react to your ads.

Key Amazon Brand Analytics Reports for PPC Targeting

Three reports matter most for targeting: Search Query Performance, Item Comparison & Alternate Purchase, and Market Basket Analysis. Each one answers a different question about buyer behavior, not ad performance.

Key Amazon Brand Analytics Reports for PPC Targeting

Amazon Brand Analytics becomes powerful when you know which reports actually influence PPC decisions. Three reports matter most for targeting: Search Query Performance, Item Comparison & Alternate Purchase, and Market Basket Analysis. Each one answers a different question about buyer behavior, not ad performance.

Search Query Performance Report

This report shows how shoppers interact with search terms across Amazon.

• Search Frequency Rank tells you how popular a keyword is compared to others. Lower rank means higher volume.
• Click Share shows which brands get the clicks.
• Conversion Share shows who actually wins the sale.

For a PPC campaign, this is where gaps appear. High-volume keywords with low or zero Click Share for your brand often mean you’re not advertising there yet. When Click Share is low, but Conversion Share is high, that keyword is usually expensive but worth it. Shoppers click less often, but when they do, they buy.

PPC action is straightforward. Move those keywords from research or auto campaigns into exact or phrase campaigns. Set bids based on Conversion Share, not CPC fear. If your brand converts above average, you can afford stronger bids without burning budget.

Item Comparison & Alternate Purchase Report

This report shows which products shoppers view instead of yours, or buy after viewing your listing. It reveals direct competitors and real substitutes, not just lookalikes.

For PPC, this report is gold for ASIN targeting. You can target competitor ASINs in Sponsored Products and Sponsored Display with clear intent. A simple strategy is to target ASINs priced higher than yours but with weaker ratings. Shoppers are already comparing; your ad just needs to show up at the right moment.

Defensive targeting also matters. Target your own ASINs to block competitors from hijacking your traffic, especially on high-converting products.

Market Basket Analysis

Market Basket shows what customers often buy together with your product. This isn’t about substitutes, but complements.

In PPC, this works best with Sponsored Display in-market audiences and product targeting. You can target complementary products to reach shoppers already in a buying mindset.

A common case is accessories, refills, or bundles. If customers buy a main product and then a refill, target that refill product. If they buy accessories after purchase, build cross-sell campaigns. Market Basket helps you follow real buying behavior, not assumptions.

How to Turn Amazon Brand Analytics Data into PPC Targeting

If you treat ABA as a decision tool, not a reporting one, you can build tighter targeting, catch demand earlier, and stop burning budget on low-intent traffic. Below is how I actually turn ABA data into PPC actions that make sense.

Building Better Keyword Targeting from ABA Data

Start with Search Query Performance in ABA. This report tells you what customers actually search for and how often those searches convert into purchases for your brand. That’s gold, but only if you cross-check it with your own ad data.

Here’s the workflow that works.

Pull high-converting search queries from ABA, then compare them with search terms from your auto campaigns. You’re looking for overlap and gaps.

Filter keywords using two simple rules:

• High conversion share in ABA
• Low current ad exposure (low impressions or clicks in your campaigns)

These are terms where demand already exists, but you’re barely bidding on it. That’s where easy wins come from.

Once you have that list, restructure your campaigns around intent instead of volume.

• Exact match: high-intent terms with strong conversion share. These go into their own exact campaign with higher bids and tight budgets.
• Phrase match: keywords you want to scale. Phrase lets Amazon expand slightly while staying close to buyer intent.
• Negative keywords: low-conversion terms from auto campaigns. If a term keeps spending and never converts, block it. No emotion here, just data.

This structure does two things at once. It pushes budget into proven demand and quietly shuts off the leaks. Over time, your ACoS improves not because you bid lower, but because you’re bidding smarter.

Smarter ASIN & Product Targeting Using ABA

Most product targeting fails because sellers target random competitors. ABA helps you avoid that.

Go straight to:

• Frequently Compared
• Frequently Purchased Instead

These reports show which ASINs shoppers actively compare with yours or choose instead of yours. That’s real competitive pressure, not guesswork.

From there, prioritize ASINs with:

• A price gap (yours is cheaper or offers better value)
• Lower review count than your product

These are vulnerable listings. Customers already see you as an option; you just need to stay visible.

How to activate this in PPC:

• Use Sponsored Products for direct ASIN targeting. This works well for high-intent shoppers already in comparison mode.
• Layer Sponsored Display on the same ASINs. Display helps you follow shoppers after they view competitor listings, especially on mobile.

This combo lets you show up both during and after the comparison moment. You’re not stealing traffic, you’re intercepting decisions already happening.

Audience & Funnel Targeting with Brand Analytics Insights

ABA also helps you think in funnels, not just keywords.

At the upper funnel, use category-level keywords from ABA. These are broader search terms where customers are still exploring options. You won’t see perfect ACoS here, and that’s fine. The goal is visibility and data.

At the mid funnel, shift focus to competitor ASIN targeting. This is where shoppers know what they want but haven’t committed yet. Sponsored Products and Sponsored Display both work well here.

At the lower funnel, defend your territory aggressively:

• Branded keywords
• Defensive ads on your own ASINs

A few reminders that matter:

• Don’t let competitors bid on your brand name uncontested
• Keep branded campaigns separated so you can control bids precisely
• Watch impression share, not just ACoS

ABA gives you the map. PPC execution is how you move through it. When you connect the two, campaigns stop feeling random, and performance starts making sense.

Conclusion

Amazon Brand Analytics doesn’t replace PPC skills. It sharpens them. When you stop treating ABA as a reporting dashboard and start using it to guide targeting decisions, your campaigns get tighter fast. You see where demand actually comes from, which competitors matter, and where your ads should show up in the buying journey. 

That clarity saves budget and removes guesswork. PPC becomes less about constant testing and more about making informed moves. ABA won’t run your ads for you, but it tells you exactly where to push and where to stop.