What three best practices comprise Google Ads AI essentials to deliver long-term performance for your business? Select three answers.

  • Develop and test new bid strategies.
  • Implement third-party cookies.

Explanation:

The given answer is correct. These three best practices together create the foundation for using Google Ads AI effectively to drive long-term performance.

Measure and attribute conversions accurately:
Google’s AI depends on reliable, high-quality conversion data to perform well. This includes implementing strong measurement solutions such as the Google tag, enhanced conversions, and consent mode, along with assigning accurate values to conversions. The more precise the data, the better AI can optimize toward real business objectives.

Engage with relevant customers:
Supplying meaningful audience signals—such as first-party data through Customer Match or relevant audience segments—helps guide the AI toward high-value users. Using these signals, AI can expand reach to similar, relevant audiences across Google’s platforms and generate incremental growth.

Build a foundational ads infrastructure:
A solid technical setup is essential and includes sitewide tagging, properly linked platforms like Google Ads and Google Analytics, and a well-implemented consent framework. This infrastructure ensures accurate data flow, supports privacy requirements, and provides the reliable inputs AI needs to operate effectively.

Together, these elements work in sync, enabling Google’s AI to understand business goals, reach the right customers, and continuously optimize campaigns for maximum return.

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