Stop Relying Only on Exact Match in Your Amazon PPC Campaigns
About this video
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If your Amazon PPC strategy is built entirely around exact match keywords, you are leaving a significant amount of opportunity on the table. In this video, we break down how exact match, phrase match, and broad match each play a different role in your Amazon advertising account, and why relying on only one match type is one of the biggest mistakes you can make in your Amazon ads campaigns.
Exact match gives you predictability, control, and precision over where you are bidding. That is all true. But if your entire Amazon advertising campaign structure is based on exact match, your account becomes a closed loop. You are only targeting the keywords you already know about, and your competitors are busy finding new search terms through broad match and phrase match that you have never even considered.
Broad match in Amazon PPC is where discovery happens. It opens your campaigns to a wide range of search terms and gives you data you could not get any other way. Yes, it can produce irrelevant clicks and waste budget if not managed properly, but with the right campaign structure and negative keyword management, broad match becomes one of the most powerful tools for keyword expansion in your Amazon advertising account. The search terms you find through broad match campaigns can then be harvested and added as exact match targets in separate campaigns, giving you a constantly growing, data-driven keyword strategy.
Phrase match sits in the middle ground between exact and broad. It lets you bid on a specific phrase that is relevant to your product while still capturing searches that include additional words before or after that core phrase. Phrase match tends to produce profitable results and gives you a balance between the tight control of exact match and the wide reach of broad match.
The magnesium glycinate example in this video makes the point clearly. If you are only bidding on the exact keyword magnesium glycinate 400 mg, you are missing search terms like best magnesium for sleep, magnesium for anxiety, and magnesium supplement for women over 40. If your exact match keyword is getting 100 sales per day, those related broad and phrase terms could be hiding thousands of additional sales opportunities.
Proper Amazon PPC campaign structure is also key here. Each campaign should be separated by match type, meaning exact match only in one campaign, broad match only in another, and phrase match in its own separate campaign. This gives you full visibility into where your ad spend is going and makes it easy to identify which campaigns are driving performance and which ones need attention.
There is also a fourth match type worth knowing about, broad match modified, which is mentioned briefly in this video as something that can generate a significant number of new search terms as well.
The bottom line is that there is no universal rule that one match type is always better than another for Amazon sponsored products or sponsored brands campaigns. It depends on your category, your competition, and what your data shows. The right approach is to test all match types, manage them with proper campaign structure, use negative keywords to control spend, and continuously harvest new search terms to fuel your Amazon ppc optimization.
If you are working with a team managing your Amazon advertising, make sure they are using all available match types and not just defaulting to exact match for the sake of a stable ACoS.
Contents: 0:00 Why exact match alone is not enough in Amazon PPC 0:34 How broad match drives keyword discovery and expansion 1:07 Why relying only on exact match limits your growth 2:19 Phrase match as the middle ground in Amazon advertising 3:17 Why campaign structure by match type matters 3:58 The magnesium example and missed keyword opportunities 4:44 Using all match types to control your Amazon ads strategy
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Transcript
Frequently asked questions
Why is running only exact match keywords in Amazon PPC a growth-limiting strategy?
Exact match gives you control and predictability, but it creates a closed loop: you can only bid on keywords you already know. Shoppers use an enormous variety of search terms to find products, and many of those terms will never appear if you only bid on exact phrases. While you are locked into a stable but narrow keyword set, competitors using broad and phrase match are constantly discovering new converting search terms, harvesting them, and expanding their coverage. The magnesium glycinate example makes this concrete: bidding only on an exact product name misses terms like "best magnesium for sleep," "magnesium for anxiety," and "magnesium for women over 40," any of which could represent multiples of the sales volume of the original exact keyword.
What role does each match type play in a well-structured Amazon PPC account?
Exact match handles known, proven keywords where you want maximum bid control and the most predictable ACoS. Broad match drives discovery: it surfaces new search terms you had never considered and reveals how shoppers actually phrase queries in your category. The data from broad match campaigns is the raw material for expanding your exact and phrase keyword lists over time. Phrase match sits between the two: it captures searches that include your core phrase with additional words before or after, producing results that are generally more profitable than broad while still allowing meaningful variation beyond exact queries.
How should match types be organized in your Amazon PPC campaign structure?
Each match type should have its own separate campaign: exact match only in one campaign, phrase match only in another, and broad match only in a third. This gives you clean visibility into which match type is generating spend, which is driving performance, and where to focus optimization effort. When broad or phrase campaigns surface high-converting search terms, those terms can be harvested and added as exact match keywords in a dedicated campaign with a slightly higher bid, creating a continuously growing, data-driven keyword strategy rather than a static one.
