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AMAZON PPC · PRACTICAL GUIDE
Amazon Sponsored Products: Automatic vs Manual Targeting
Choosing automatic or manual targeting is not a contest with one permanent winner. The useful question is which decisions you want Amazon to make and which decisions you need to control. A clear purpose for each campaign makes its results easier to interpret.
What automatic targeting does
Amazon matches Sponsored Products ads to relevant shopping queries and products. Its automatic groups are close match, loose match, substitutes and complements. Close and loose match relate to shopping searches; substitutes and complements relate to product contexts. Advertisers can review group performance and set group-level bids. Source: Amazon Ads targeting guide.
What manual targeting changes
Manual targeting lets you choose keyword or product targets yourself. Product targeting can address specific products or categories. Negative targeting adds exclusions to reduce appearances in unwanted contexts. Amazon presents these as complementary controls rather than a guarantee that one campaign structure will outperform another. Source: Amazon Ads Sponsored Products best practices.
An example of a useful discovery workflow
Illustrative scenario: you sell a 750 ml steel bottle. An automatic campaign brings traffic from several searches. In our review framework, the next step is to group observations by intent: relevant bottle searches, uncertain use cases, and clearly incompatible products. Do not treat every phrase containing “bottle” as equally relevant.
For a promising search, ask whether the product actually answers the buyer’s need, whether its economics fit your target, and whether there is enough evidence to test a dedicated manual target. Record the date and purpose of that test. Moving a term is a management decision; it does not by itself establish an improvement.
Read the search term report before adding negatives
Amazon’s reporting guidance describes using search term results to identify useful searches and candidates for negative keyword or product targeting. Source: Amazon Ads search term report help.
Our practical approach is to distinguish obvious incompatibility from sparse performance data. A bottle that is not insulated may be a poor fit for a clearly insulated-only query, while a relevant term with a handful of clicks may simply need more observation. Document the reason for an exclusion and its scope. Avoid applying one universal click threshold without considering cost and product economics.
A simple campaign brief
- Purpose: discovery, a focused keyword test, or a product-context test.
- Scope: products, marketplace, budget and target economics.
- Review: the report and period you will evaluate.
- Decision log: what changed, why, and when it will be reviewed.
This framework is editorial guidance. Start with a structure you can explain and maintain, then refine it using account evidence. More campaigns are not automatically a better strategy.