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Home Google Marketing

Best practices for Ads and Analytics Advisor

Josh by Josh
March 25, 2026
in Google Marketing
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Best practices for Ads and Analytics Advisor


Marketing moves fast, and your AI tools should do more than just keep up — they should help you stay ahead. While the industry is seeing a surge in “agentic” experiences, the true value for your business lies in how these tools connect the dots between data and decision-making.

Ads Advisor and Analytics Advisor are more than just chat interfaces; they are agentic collaborators designed to bridge the gap between “what happened” and “what to do next.”

Today, we’re sharing five of our best practices and prompts to help you get the most out of your advisors.

Meet the collaborator that grows with you

You don’t need to use jargon or know how to code in order to drive results for your business. Helpful responses are just a question away. It’s best practice to ask your advisor questions in natural language, just like you would in a regular chat or with a peer.

Need more information or have more questions? No problem. Just ask a follow-up question to dig deeper, and your assistant will refine its answer to provide more detail or recommendations of what to do next. You can even ask questions like: “run an analysis” or “summarize this data for me.” And our advisors are able to recall earlier conversations you’ve had, so you’ll get more sophisticated recommendations over time for guidance that’s tailored to your business.

Find the data you didn’t know you were seeking

Analytics Advisor acts like your personal data analyst: on a mission to unlock hidden value you may not have otherwise found. It proactively identifies new trends and insights for you, even when you weren’t searching for them.

Say you want to report on last week’s metrics, and you start with an open question like “how many new users did we get last week?”. Analytics Advisor will first answer the question, and then surface a new insight you may want to dig into. For example, it might identify some atypical spikes in the data. From there, you can follow up with “what caused that spike?” and your personal analyst will investigate.

When you find that the cause was a surge in traffic from Direct and Organic Search channels, you can discover whether that influenced your add-to-cart and checkout rate — Analytics Advisor will calculate these metrics on the fly for you. For an analysis on driving to key conversion actions, you can ask the Advisor to create a full funnel view: “analyze where users are dropping off after viewing an item to make a purchase.”



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