How are recommendations tailored in Google Ads?

• A. They are based on Google-wide trends and your account's past performance and settings.
• B. They are based on random sampling.
• C. They are based on last visited page.
• D. They are based on your location only.

Answer: (C)

Google Ads recommendations are personalized by analyzing your account’s historical performance and current settings, using signals from the broader Google Ads ecosystem to suggest optimization actions. This approach makes the suggestions specific to what has happened in your campaigns—what’s driven conversions, what’s wasted spend, how bids and budgets are set, and how targeting is configured—while also reflecting relevant platform-wide trends. It isn’t based on random sampling, nor on the last page you visited, and it isn’t limited to your location alone.