Definition:
The Broad match is a rule used in online ad systems that means that when a user uses a keyword in a search engine or marketplace, results are returned not only related to the word entered, but variations in the order of words, synonyms and related terms.
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Representation of the broad Match
It is represented in Google Ads and Bing Ads as a keyword written without square brackets or quotation marks.
It is the default option in ad systems such as Google Ads, Bing Ads and Amazon Advertising. It is a useful option that should be used however with care, as it can show the paid ad in irrelevant or low-converting searches.
Examples of broad match
For searches such as “wooden floor” the search engine can return results as disparate as “dollhouse”, “floating flooring”, “parquet installers”, or “rent floor with wooden floor”.
That is why this type of search must be used fundamentally with care, and always using negative keywords to exclude results not related to what you want to advertise.
Frequently asked questions about Broad Match
What does Broad Match mean in digital marketing?
Broad Match refers to the concept described in this glossary entry: Definition: The Broad match is a rule used in online ad systems that means that when a user uses a keyword in a search engine or marketplace, results are returned not only related to the word entered, but variations in the order of words, synonyms and related terms. Representation of the broad Match It is represented in Google Ads and Bing Ads as a keyword written without square brackets or quotation marks. It gives teams a shared vocabulary for analysing digital projects.
When should teams pay attention to Broad Match?
Teams should review Broad Match when it affects acquisition, measurement, user experience, content, automation or campaign performance. The important step is to connect the definition with a real decision.
How is Broad Match used in a digital strategy?
Broad Match is used by translating the concept into practical checks: where it appears in the funnel, which data or channel is involved and whether it needs optimisation, monitoring or documentation.
What is a common mistake when interpreting Broad Match?
A common mistake is using Broad Match too broadly. It is better to verify the context, the tool or the metric involved before making strategic or technical conclusions.