Keyword Cannibalization Analyzer
Detect keywords competing against each other across campaigns and ad groups — and eliminate wasted spend before it eats your budget.
What This Tool Does
Parses your Amazon Bulk Operations file or SP Beta Report to find keywords appearing across multiple campaigns or ad groups simultaneously.
- Identifies exact keyword duplicates across campaigns
- Groups conflicts by risk level (High / Medium / Low)
- Identifies best performer per group (lowest ACOS)
- Generates Amazon-ready pause files for 1-click fix
Supported File Types
- Bulk Operations (.xlsx) — Campaign Manager → Bulk Operations → Download
- SP Beta Report (.csv / .xlsx) — Reports → Advertising reports → Sponsored Products → Campaign → Download
Risk Levels:
High — 3+ campaigns, Spend > $500, or ACOS > 70%
Medium — 2 campaigns, or Spend $100–$500
Low — 2 ad groups within same campaign
Select Report Type
Choose the type of report you want to analyze before uploading
Upload Operations File
Drop your Amazon report — we'll handle the rest
Drop your SP Beta Report here
or click to browse
.csv or .xlsx · SP Campaign-level Beta ReportStop bidding against yourself
When the same keyword lives in multiple campaigns or ad groups, Amazon doesn't pick your best option and run it — it can enter more than one of your own targets into the same auction, driving up your own CPC as you outbid yourself. Keyword cannibalization is one of the most common and most invisible sources of wasted spend, because no single campaign looks broken. The waste only appears when you see the overlap across the whole account.
This analyzer parses your bulk operations file (or SP Beta report) and finds every keyword appearing across multiple campaigns or ad groups at once. It groups the duplicates so you can see exactly where you're competing with yourself — and consolidate to the campaign that performs best.
How It Works
- 1
Export your bulk file
Download the Amazon Bulk Operations file (or an SP Beta report) covering the campaigns you want to check. Processing is fully in-browser.
- 2
Select report type and upload
Choose the report type and drop the file in. The tool scans every keyword and target across all campaigns and ad groups.
- 3
Review the overlap groups
Duplicated keywords are grouped so you can see each place a term appears, its match type, and how each instance performs side by side.
- 4
Consolidate the duplicates
Keep the best-performing instance, and pause or negate the redundant ones so only one of your targets competes for each search.
When To Use This Tool
Clean up after account growth
Accounts that grew campaign by campaign accumulate duplicate keywords over time. A periodic overlap scan is the only practical way to catch them.
Fix mysteriously rising CPCs
When CPCs climb without competitor changes, self-competition is a prime suspect — and this tool confirms it in one upload.
After graduating keywords
Promoting terms to exact match often leaves the original in auto/broad. This finds those leftovers so you can negate them.
Pre-restructure audit
Before reorganizing campaigns, map every duplicate so the new structure has one clear home per keyword.
Frequently Asked Questions
It's when the same keyword exists in more than one of your campaigns or ad groups, so your own targets compete against each other in the same auction. Instead of Amazon showing your single best-positioned ad, you can end up bidding against yourself — raising your CPC and splitting performance data across duplicates that would be stronger consolidated.
Amazon runs a second-price-style auction, so your CPC is influenced by the next-highest bid. When two of your own keywords enter the same auction, one can effectively set the price floor for the other, nudging your winning CPC higher than it needed to be. Consolidating to one target removes that self-inflicted upward pressure.
Not blindly — some overlap is intentional (a defensive exact-match keyword alongside a broad discovery campaign, for instance). The goal is to eliminate unintentional, poorly-performing duplicates and keep a single clear owner for each keyword's core traffic. This tool shows performance per instance so you consolidate toward the winner.
N-gram analysis finds wasteful word patterns within your search terms. Cannibalization analysis finds structural duplication of whole keywords across your campaigns. One cleans your targeting language; the other cleans your account structure — both reduce wasted spend from different angles.
Yes — free, no login required, and your file is parsed entirely in your browser without being uploaded. One of 20+ free Amazon PPC tools by Ads Acceleration.
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