Google has announced that it has completed development of the Analytics Advisor feature, which it first revealed during the Google Marketing Live (GML) session held in May 2025.

Initially introduced as merely "coming soon" at that time, this feature, according to Google's official statement, will start rolling out in December to both GA4 (standard) and Google Analytics 360 users in the English language.

Google defines Analytics Advisor with the following statement:

“Your new personal analyst that speaks data, where you can ask even your most complex questions in natural language.”

As a result, Analytics Advisor has evolved from a prototype shown on stage into a productized, ready-to-use analytical assistant.

Additionally, Google shares the following note in its announcement:

“Analytics Advisor was announced at Google Marketing Live in May 2025. Since then, new capabilities have been added to help you better manage your Analytics property.”

This confirms that the tool has been actively developed since the day it was introduced.

Google Officially Launches Two New AI-Powered Tools

Google is introducing not only Analytics Advisor but also the Ads Advisor tool, ushering in a new era that supports analytics and advertising optimization with artificial intelligence.

With these tools:

• GA4 users can get instant analysis by asking questions in natural language.

• Google Ads users can obtain automatic optimization suggestions and error resolutions for their campaigns.

It is now possible to get smart answers directly from the system to questions like “Why did my user count drop in GA4?” or “Which audience is my campaign performing better with?” These developments mark a powerful transition period where AI merges with analytics and advertising management.

What is Analytics Advisor?

(GA4 AI Analysis Assistant)

Analytics Advisor is an AI-powered analysis layer embedded within GA4.
Instead of navigating through complex reports, users can ask questions directly to get answers.

Analytics Advisor – Capabilities Offered

1. Providing Overall Performance Insights

• Extracts a web site's general performance summary.

• Analyzes high-level metrics such as new user acquisition, engagement, and traffic change.
  
  Example questions:

• “How is my website doing?”

• “How is the health of my new user acquisition?”
  
  
  

2. Generating Analysis on Specific Metrics and Dimensions

• Analyzes specific channels, date ranges, or events.

• Creates visualized charts.

Example questions:

• “Show active user trend for the last 30 days.”

• “Show total purchases from organic search last week.”
  
  
  

3. Answering “Why” Questions (Key-driver Analysis)

• Finds the reason for situations such as revenue decline, traffic increase, or user loss.

• Explains the main factors influencing the decrease or rise.

Example questions:

• “Why did revenue drop on August 1st?”

• “Why did new users decrease by 15% compared to last month?”
  
  
  

4. Education and Guidance

• Teaches how to perform actions inside GA4.

• Explains step-by-step how to reach features.

Example questions:

• “How do I create an audience?”

• “How do I link my property to Google Ads?”
  
  
  

5. Querying Configuration (Property Config)

• Enables reading technical settings in your property.

Example questions:

• “What is my Measurement ID?”

• “How many data streams do I have?”
  
  
  

6. Optimization and Growth Recommendations

• Identifies growth opportunities.

• Offers re-engagement suggestions based on segments.

Example questions:

• “What should I do to grow my business?”

• “How can I re-win users who viewed the product page and left?”
  
  
  

What is Ads Advisor?

(Google Ads AI Campaign Assistant)

Ads Advisor is an AI tool that assists Google Ads managers with campaign optimization.

Ads Advisor – Capabilities Offered

1. Performance Monitoring and Reporting

• Can create campaign performance summaries.

• Can analyze weekly changes.

• Can compare performance by mobile, desktop, channel, or device.

Example questions:

• “How did my search campaign perform weekly?”

• “Which campaign brought the most conversions on mobile this month?”
  
  
  

2. Understanding Performance Changes

• Analyzes the reasons behind drops in clicks, conversions, or impressions.

• Identifies bid changes made in campaigns.

Example questions:

• “Why did clicks drop in my brand campaign?”

• “What triggered the rise in conversions?”
  
  
  

3. Troubleshooting Ad and Delivery Issues

• Investigates the cause of sharp drops in campaign performance.

• Explains the reason and solution pathway for disapproved ads.

• Provides guidance on identity verification processes.

• Can assist with billing and payment issues.

Example questions:

• “Why did my campaign performance drop?”

• “Why was my ad disapproved and how can I fix it?”

• “Why did my payment fail?”
  
  
  

4. Campaign Creation and Optimization

• Offers optimization recommendations for Performance Max campaigns.

• Can generate text, headline, and asset suggestions.

• Generates new campaign ideas.

• Provides keyword suggestions.

Example questions:

• “How can I optimize my Performance Max campaign?”

• “Can you suggest keywords for my new search campaign?”

• “Give me new campaign ideas for my website.”
  
  
  

5. Reporting and Visualization

• Generates automatic charts and reports for specific metrics.

Example questions:

• “Create a chart for the impressions I've received in the last 30 days.”

• “Show campaigns with the highest weekly growth.”
  
  
  

6. Education and Best Practices

• Offers educational recommendations for account optimization.

• Teaches practices that will make a difference in the market.

Example questions:

• “Where should I start to increase brand awareness?”
  
  
  

The Accuracy of Tracking Is Now More Important

With the deployment of these two tools, data-driven decision-making becomes more accessible, faster, and more intuitive.

Critical Point:
AI produces meaningful results only on correctly tracked data.

If GA4 configurations are incomplete, tags are incorrect, dataLayer is inconsistent, or Consent Mode is faulty, Analytics Advisor and Ads Advisor may cause wrong/incomplete interpretations of data.

Therefore, a robust analytical infrastructure is mandatory to extract maximum benefit from these powerful AI tools Google offers.

How to Ensure a Proper Analytics Infrastructure?

To ensure AI-powered analyses are reliable:

• GA4 Tagging Accuracy
  Verify that all events (page_view, purchase, add_to_cart, etc.) are working flawlessly.

• Consent Mode v2
  Configure the consent mechanism properly for modeling to function healthily.

• dataLayer Standardization
  Consistent event structures strengthen the analysis of Advisor.

• Conversion Tracking (Conversion Setup)
  It is critical that conversions contain the correct parameters and do not generate unnecessary repetitions.
  Consistent value delivery and correct event names according to the conversion type (purchase, generate_lead, sign_up, etc.) directly impact Advisor's power to optimize and generate insights.

Achievements of the New Era: Smarter Analysis, Smarter Campaigns

Google’s Analytics Advisor and Ads Advisor tools offer a significant opportunity for digital marketers and web analysts.

Thanks to these tools:

• Analyses will speed up,

• Insights will be clearer,

• Campaigns will be managed more efficiently.

However, for these benefits to translate into real value, the tracking architecture must be clean, consistent, and accurate.

Supported by AI, this new analytics era, when combined with the correct setup, provides businesses with a strong competitive edge.