Google Analytics Updates & Release Notes
12 updates curated from 1 source by the Releasebot Team. Last updated: Aug 14, 2026
- Aug 11, 2026
- Date parsed from source:Aug 11, 2026
- First seen by Releasebot:Aug 14, 2026
August 11, 2026
Google Analytics expands conversion window configuration with custom integer lookback windows for click-through and engaged-view conversions, giving advertisers more flexible attribution settings that better match their business cycles.
Updated conversion window configuration
Google Analytics conversions now support custom integer lookback windows for click-through conversions (CTC) and engaged-view conversions (EVC). This update allows Google Analytics to align conversion attribution lookback windows more closely to your unique business cycles.
This update introduces the following custom options:
- Engaged-view conversion (EVC) windows: Edit EVC conversion windows to any integer from 1 to 30 days (previously fixed at 3 days).
- Click-through conversion (CTC) windows: Set CTC conversion windows to any integer from 1 to 90 days (previously limited to preset values of 1, 7, 14, 30, 60, or 90 days).
You can configure custom conversion windows in Google Analytics under Advertising > Conversion management > more options icon > Settings, as well as in the linked Google Ads conversion management interface.
Original source - Aug 10, 2026
- Date parsed from source:Aug 10, 2026
- First seen by Releasebot:Aug 11, 2026
August 10, 2026
Google Analytics adds a campaign data import validation report to help verify imported campaign data and improve data quality.
Campaign data import validation report
We’ve launched a new validation report to help you verify and improve the quality of your campaign data imports.
The campaign data import validation report assists you in assessing your non-Google campaign data and imported campaign data. This helps you pinpoint campaigns that lack useful campaign performance data, like cost, clicks, and impressions, and enables you to review previously imported campaign data.
Learn more about the Campaign data import validation report
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- Jul 30, 2026
- Date parsed from source:Jul 30, 2026
- First seen by Releasebot:Jul 31, 2026
July 30, 2026
Google Analytics adds a new diagnostic for missing URL parameters that can affect campaign data accuracy.
New diagnostic in Google Analytics for aggregate parameter issues
We’ve launched a new diagnostic to alert users of issues with campaign data accuracy due to missing URL parameters. Properties where aggregate identifiers (GBRAID and gad_) are missing from the URL will see a new diagnostic, including the problematic URLs and ways to resolve the issue. These identifiers are important for campaign data accuracy.
Learn more about Aggregate Identifiers
Original source - Jul 28, 2026
- Date parsed from source:Jul 28, 2026
- First seen by Releasebot:Jul 30, 2026
Campaign data import currency update
Google Analytics requires a currency field for campaign data import cost uploads and adds flexible currency mapping options.
We've updated campaign data import to require a currency field whenever you upload cost data. This ensures your campaign reporting stays accurate, even if you decide to make changes to your property's currency settings.
When importing your campaign data, you can now choose to map the currency directly from a column in your data source or apply a single, fixed currency to the entire dataset. Any existing campaign data imports will continue to report under the assumption that the imported cost matches your current property currency.
Learn more about Campaign data import
Original source - Jun 11, 2026
- Date parsed from source:Jun 11, 2026
- First seen by Releasebot:Jun 16, 2026
- Modified by Releasebot:Jul 22, 2026
New Source Group field with update to Source Platform values for improved source analysis
Google Analytics adds Source Group, a new dimension that consolidates messy source values into clean, standard reporting for platforms like Facebook, Instagram, and TikTok. It also updates Source Platform classifications to improve cross-channel analysis, retroactive insights, and future-ready attribution.
Source grouping is a new dimension concept that consolidates source values for common online platforms - Facebook, Instagram, and TikTok. A single value for a given source is vital for performance and attribution analysis (example: “Facebook”; not “facebook”, “fb”, and “Meta-facebook”), and the Source Group field consolidates various source values to provide that single reporting value.
Source Platform is an existing field that we are updating and improving some classifications to align with our updates for Source Group.
This update enables advertisers to:
- Better analyze and optimize their cross-channel performance - Source grouping helps to standardize source dimension values in order to improve your budget analysis and source reporting. You will be able to identify performance and optimization opportunities from both first and third-party platforms and inventory sources. This makes cross-channel reporting in the advertising section more simple and actionable.
- Standardize reporting - This update provides the same level of granularity for third-party platforms (TikTok, Pinterest, Amazon) as it does for Google inventory (YouTube, Search, Maps) and automatically bundles disparate messy source values (example: %instagram%, ig) into clean, high-level categories like Instagram (Source Group) /Meta Ads (Source Platform).
- Future-proof for AI - Includes built-in grouping for emerging traffic sources like ChatGPT (OpenAI) and Perplexity.
- Review retroactive insights - As Source Group is populated retroactively, you can use dimensions to analyze your historical data to take action and optimize advertising.
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- Jun 8, 2026
- Date parsed from source:Jun 8, 2026
- First seen by Releasebot:Jun 9, 2026
New Google Business Profile integration
Google Analytics adds Google Business Profiles reporting in the Admin panel, letting users centrally track local business, website, and app metrics. A new Reports collection surfaces GBP interactions, calls, bookings, directions, website clicks, messages, and menus for a fuller view of engagement.
You can now centrally report on your local business, website, and app metrics. Link your Google Analytics properties with Google Business Profiles (GBP) directly within the Admin panel. This integration enables the seamless import of high-value first-party GBP data. A new dedicated reporting collection surfaces key GBP metrics including interactions, phone calls, bookings, direction requests, and website clicks.
Metric details
Access seven core GBP metrics directly in your reports: GBP interactions, calls, bookings, directions, website clicks, messages, and menus.
Reporting
A new dedicated collection for Google Business Profiles is automatically added to the Reports menu upon linking, providing a structured view of how your local assets drive engagement.
Data availability
GBP metrics are available on a rolling 6-month window. If a selected date range extends beyond this period, Analytics will load the most recent data available from the profile.
This integration helps bridge the gap for measuring in-store intent by providing proxy metrics for physical visits. By centralizing these insights, businesses can better understand the full customer journey and how assets like Search and Maps contribute to overall cross-channel value.
Original source - May 13, 2026
- Date parsed from source:May 13, 2026
- First seen by Releasebot:May 14, 2026
New AI Assistant traffic measurement
Google Analytics adds an AI Assistant channel to help measure traffic from chatbots like ChatGPT, Gemini, and Claude, giving teams a clearer view of how users discover sites through generative AI sources.
Google Analytics now provides a dedicated way to measure and analyze traffic originating from popular AI assistants. You can now identify how users are discovering your site through chatbots like ChatGPT, Gemini, and Claude via a new AI Assistant channel in your Default Channel Group reports.
This update introduces the following changes to your traffic source dimensions:
- Medium: A new "ai-assistant" value is automatically assigned when the referrer matches a recognized AI Assistant
- Channel Group: These visits are categorized under the "AI Assistant" channel
- Campaign: Traffic from these sources will be identified with the "(ai-assistant)" campaign name
This feature helps you monitor how generative AI impacts your business by tracking user clicks, trending AI sources, and how this traffic compares to traditional channels like organic search.
Original source - May 4, 2026
- Date parsed from source:May 4, 2026
- First seen by Releasebot:May 6, 2026
May 4, 2026
Google Analytics adds conversion support in the Data API, giving developers alpha access to cross-channel conversion reporting data for Google Analytics and Google Ads customers, including the paid and organic data in the Conversion performance report.
Conversion support in the Data API
This feature may not be available to your Google Analytics property. The Google Analytics team is actively working to expand this feature to more properties. Please reach out to your support team if you have questions about the eligibility of your property.
Cross-channel conversion reporting data is now available from the Google Analytics Data API in alpha for Google Analytics and Google Ads customers. Google Analytics developers can now gain programmatic access to the same paid and organic reporting data that's available in the Analytics advertising section's Conversion performance report. Refer to the Google Analytics Data API changelog for more details about this new API surface.
Original source - May 4, 2026
- Date parsed from source:May 4, 2026
- First seen by Releasebot:May 5, 2026
Conversion support in the Data API
Google Analytics adds alpha cross-channel conversion reporting data in the Data API for paid and organic reporting access.
Cross-channel conversion reporting data is now available from the Google Analytics Data API in alpha for Google Analytics and Google Ads customers.
Google Analytics developers can now gain programmatic access to the same paid and organic reporting data that's available in the Analytics advertising section's Conversion performance report.
Refer to the Google Analytics Data API changelog for more details about this new API surface.
Original source - Apr 29, 2026
- Date parsed from source:Apr 29, 2026
- First seen by Releasebot:May 1, 2026
April 29, 2026
Google Analytics introduces Task Assistant to help users optimize configuration and improve data collection with tailored recommendations, actionable task categories, and progress tracking from the left navigation menu.
Configure your Google Analytics settings using Task Assistant
To help you get the most out of your Google Analytics property, we are introducing Task Assistant. Task Assistant provides tailored recommendations to help you optimize your configuration and improve data collection,. Available from the left navigation menu, it organizes these recommendations into actionable categories, such as connecting your accounts, enhancing your reporting, and fixing data issues. You can easily manage your property's progress by marking tasks as complete as you finish them, or skipping tasks that aren't relevant to your current business goals. Return back to the Task Assistant for additional tasks.
Learn more about Task Assistant
Original source - Feb 10, 2026
- Date parsed from source:Feb 10, 2026
- First seen by Releasebot:Feb 19, 2026
February 10, 2026
Generated insights on the Home page summarize top data changes since your last visit, helping you catch up fast. Cross-channel budgeting (Beta) launches to track performance and optimize paid channel investments.
Generated insights on the Home page
We’ve added Generated insights to your Home page. This feature summarizes the top three data changes since your last visit, including key configuration updates, anomalies, and seasonality trends.This helps you quickly catch up on what’s happening in your property and spot performance shifts without needing to dig into detailed reports.
Learn more about Generated insights.
Cross-channel budgeting (Beta)
This feature may not be available to your Google Analytics property. The Google Analytics team is actively working to expand this feature to more properties. Please reach out to your support team if you have questions about the eligibility of your property.
The Google Analytics team is excited to announce the release of cross-channel budgeting. Use cross-channel budgeting to track performance and optimize paid channel investments.
Original source - Jan 16, 2026
- Date parsed from source:Jan 16, 2026
- First seen by Releasebot:Feb 18, 2026
January 16, 2026
Google Analytics unveils cross-channel budgeting, improved web conversion management, and a new conversion attribution analysis report in beta. These updates add budget optimization tools, flexible conversion settings, and richer cross-channel insights to optimize ad spend and ROI.
Cross-channel budgeting (Beta)
This feature may not be available to your Google Analytics property. The Google Analytics team is actively working to expand this feature to more properties. Please reach out to your support team if you have questions about the eligibility of your property.
The Google Analytics team is excited to announce the release of cross-channel budgeting. Use cross-channel budgeting to track performance and optimize paid channel investments.
- Projection plans help you identify areas for improvement and make quick optimization decisions. You can see how advertising channels are expected to perform against your performance indicators (KPIs) like spend, conversions, and revenue.
- Scenario plans help you determine the optimal distribution of your budget for future media initiatives by letting you explore potential ROI at different budget levels.
With these tools, you'll be able to answer critical questions like, "Is my spend on track?", "How many future conversions are forecasted based on my planned spend?" and “How should I allocate my budgets to maximize revenue and ROI?”
Learn more about cross-channel budgeting
Improved web conversion management and reporting capabilities for Google Ads customers (Beta)
This feature may not be available to your Google Analytics property. The Google Analytics team is actively working to expand this feature to more properties. Please reach out to your support team if you have questions about the eligibility of your property.
More flexible web conversion management tools and new cross-channel reporting features are now available for marketers and advertisers.
- Conversion attribution settings are now adjustable independently for every conversion, enabling customers to fine-tune their bidding strategies in Google Ads, eliminate a common cause of conversion reporting discrepancies versus Google Ads, and gain greater confidence in the efficacy of their ad spend.
- We’re also adding more comprehensive cross-channel reporting features and capabilities, including new reporting dimension filters, to unlock new insights.
Learn more about cross-channel conversion reporting in Analytics
Conversion attribution analysis report (Beta)
This feature may not be available to your Google Analytics property. The Google Analytics team is actively working to expand this feature to more properties. Please reach out to your support team if you have questions about the eligibility of your property.
The Conversion attribution analysis report is a new addition to the advertising workspace that provides customers with the ability to uncover the full value of their marketing channels across the entire customer journey.
This report helps you visualize how different touchpoints contribute to your bottom line through two specialized views:
- Assisted conversions (Last Click): This view allows you to see "Assists"—touchpoints that engaged customers early in their journey but weren't the final click. This is essential for identifying undervalued upper-funnel channels, such as YouTube or Demand Gen, that drive interest before a final search or direct visit.
- Refined funnel analysis (Data-driven attribution): This view categorizes touchpoints into Early, Mid, and Late stages. We now separate single-touchpoint paths from multi-touchpoint journeys, giving you a clearer picture of which campaigns are closing complex journeys versus those that act as standalone drivers.
By using these new insights, advertisers can better justify upper-funnel spend and build a more holistic budget strategy that rewards every stage of the funnel.
Original source
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Curated by the Releasebot team
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