An electronics company is launching a new TV equipped with a voice command accessibility feature. They decide to use phrase match in their Search ads campaign with the keywords "television," "accessible," and "voice." How will phrase match benefit the company's Search Ads campaign?
Their ad will appear if the search terms are related to the keyword.
Their ad will appear if the search terms have the same meaning as the keyword.
Their ad will appear if the search terms include the meaning of the keyword.
Their ad will appear if the search terms contain all three of the exact keywords.
Explanation
Analysis of Correct Answer(s)
The correct answer accurately describes how modern phrase match functions. Phrase match is designed to show your ad on searches that include the meaning of your keyword. This means a user's search must share the same intent as your keyword phrase, but it can include additional words before, after, or in the middle.
For a phrase match keyword like "accessible voice television", this allows the ad to appear for relevant searches such as:
- "buy accessible voice television"
- "television with voice access features"
- "voice-controlled TV for accessibility reviews"
This match type provides a good balance between the wide reach of broad match and the tight control of exact match, helping the company connect with users who are specifically looking for a product with these features.
Analysis of Incorrect Options
- "Their ad will appear if the search terms are related to the keyword.": This is the definition of broad match. It offers the widest reach but can trigger ads for less relevant, tangential searches.
- "Their ad will appear if the search terms have the same meaning as the keyword.": This more accurately describes exact match, which targets searches that are semantically identical to the keyword, offering the most control.
- "Their ad will appear if the search terms contain all three of the exact keywords.": This is an outdated and overly literal interpretation. Modern phrase match is powered by machine learning and focuses on the meaning and intent of the phrase, not just the presence of exact words.