Upgrade your Analytics 360 properties to Google Analytics 4 by March 2024 to preserve measurement and campaign performance.
Earlier this week, we announced that the new Google Analytics is ready to help you meet the challenges of an evolving measurement landscape and get better ROI from your marketing for the long term — with privacy-safe solutions and machine learning at its core. Today, we’re introducing the new Analytics 360, which builds on the foundation of Google Analytics 4 properties to address the measurement needs of large advertisers and agencies with more customizations, increased scale, and enterprise-level support.
As a large company, you may have multiple teams that need access to different insights, depending on their job function, products and markets. Let’s say your teams in the United States, Canada and Mexico need to view the data about your four product lines to understand what’s driving sales in their markets. With the new Analytics 360, you can create four product line sub-properties for each country team and customize their settings. For example, you can link each of them with your Google Ads and Google Marketing Platform accounts that are used for the campaigns running in these countries.
You may also have analyst teams in each of those countries that need to access the data across all product lines for their markets to understand what’s driving sales for your brand locally. You can easily do that by creating dedicated roll-up properties for the United States, Canada and Mexico across all four product lines. That way, they’ll be able to better understand the audiences that are interested in your products and share insights with other local teams. Roll-up and sub-properties will only be available in Analytics 360 and will launch in the coming months.
You’ll also be able to create your own user roles in Analytics 360 to control feature access for certain groups of users. For instance, you could create a role for an agency partner so they can understand which campaigns are driving conversions on your website, but can’t access data about your revenue or organic traffic. Custom user roles can also be assigned to selected reporting collections, which are groups of reports based on topics like customer acquisition. This way your teams and partners can access the data they need in compliance with your policies. Custom user roles and user assigned reporting collections will launch in the coming months to all Analytics 360 accounts.
The new Analytics 360 can scale as you grow your business and your needs become more demanding. It has higher limits for up to 125 custom dimensions, 400 audiences and 50 conversion types. If you want to run your own analysis, Analytics 360 allows you to export billions of daily events to BigQuery. You can also get more granular insights by accessing unsampled results directly in Analytics 360’s explore module.
In addition to higher limits, you’ll get continuous intraday data via Analytics 360’s interface and the API. Data usually appears within an hour after collection, so you can make faster, near-real time decisions during crucial periods for your business, like Black Friday.
Analytics 360 comes with service legal agreements (SLAs) across many product functionalities such as data collection, reporting, processing and attribution. For the first time, we’ll introduce an SLA for BigQuery daily export to give you peace of mind even for your own analysis.
When multiple teams work together with Analytics 360, you’d like to closely monitor the changes made to your account settings. The new Analytics 360 has a more robust Change History so you can review when settings are edited, like when a new Google Ads account is linked to an Analytics 360 property or a new type of conversion is created. In the future, we’re planning to add more advanced audit functionalities for a better view of who has access to your data and the changes made to your property.
The new Analytics 360 is now in open beta for all existing clients. Follow these instructions to upgrade your Google Analytics 4 Properties to the Analytics 360 beta.
Google Analytics helps you measure the actions people take across your app and website. By applying Google’s machine learning models, Analytics can analyze your data and predict future actions people may take. Today we are introducing two new predictive metrics to App + Web properties. The first is Purchase Probability, which predicts the likelihood that users who have visited your app or site will purchase in the next seven days. And the second, Churn Probability, predicts how likely it is that recently active users will not visit your app or site in the next seven days. You can use these metrics to help drive growth for your business by reaching the people most likely to purchase and retaining the people who might not return to your app or site via Google Ads.
Analytics will now suggest new predictive audiences that you can create in the Audience Builder. For example, using Purchase Probability, we will suggest the audience “Likely 7-day purchasers” which includes users who are most likely to purchase in the next seven days. Or using Churn Probability, we will suggest the audience “Likely 7-day churning users” which includes active users who are not likely to visit your site or app in the next seven days.
In the Audience Builder, you can select from a set of suggested predictive audiences.
In the past, if you wanted to reach people most likely to purchase, you’d probably build an audience of people who had added products to their shopping carts but didn’t purchase. However, with this approach you might miss reaching people who never selected an item but are likely to purchase in the future. Predictive audiences automatically determine which customer actions on your app or site might lead to a purchase—helping you find more people who are likely to convert at scale.
Imagine you run a home improvement store and are trying to drive more digital sales this month. Analytics will now suggest an audience that includes everyone who is likely to purchase in the next seven days—on either your app or your site—and then you can reach them with a personalized message using Google Ads.
Or let’s say you’re an online publisher and want to maintain your average number of daily users. You can build an audience of users who are likely to not visit your app or site in the next seven days and then create a Google Ads campaign to encourage them to read one of your popular articles.
In addition to building audiences, you can also use predictive metrics to analyze your data with the Analysis module. For example, you can use the User Lifetime technique to identify which marketing campaign helped you acquire users with the highest Purchase Probability. With that information you may decide to reallocate more of your marketing budget towards that high potential campaign.
View the Purchase Probability of users from various marketing campaigns.
You will soon be able to use predictive metrics in the App + Web properties beta to build audiences and help you determine how to optimize your marketing budget. In the coming weeks these metrics will become available in properties that have purchase events implemented or are automatically measuring in-app purchases once certain thresholds are met.
If you haven't yet created an App + Web property, you can get started here. We recommend continuing to use your existing Analytics properties alongside an App + Web property.
