{"id":40128,"date":"2023-04-25T07:00:48","date_gmt":"2023-04-25T14:00:48","guid":{"rendered":"https:\/\/dhblog.dream.press\/blog\/?p=40128"},"modified":"2025-05-21T23:18:01","modified_gmt":"2025-05-22T06:18:01","slug":"analytics-intelligence-ga4","status":"publish","type":"post","link":"https:\/\/www-dev.dreamhost.com\/blog\/analytics-intelligence-ga4\/","title":{"rendered":"Mastering Analytics: Getting the Most Out of Analytics Intelligence in GA4"},"content":{"rendered":"\n

After making the leap from Universal Analytics to GA4<\/a>, you’ll likely spend some time learning your way around. You might need help finding insights you used to reference on the regular. In fact, you might not know where to find anything<\/i>.<\/p>\n\n\n\n

Luckily, there’s a powerful tool that can help: Google Analytics Intelligence, an AI tool that can help even total beginners answer questions and find metrics in Google Analytics 4.<\/p>\n\n\n\n

To get the most out of Analytics Intelligence, you\u2019ll need to know a few basic tips and tricks \u2014 Read on to learn what Analytics Intelligence is, how it works, and the steps you can take to unlock its power and get the most out of GA4.<\/p>\n\n\n\n

What is Analytics Intelligence?<\/h2>\n\n\n\n

Google Analytics Intelligence<\/a> is a set of artificial intelligence (AI) features that uses machine learning algorithms to analyze data and provide automated insights about website traffic and user behavior. It’s designed to make it easy for anyone \u2014 even total beginners \u2014 to discover important website insights and stats very quickly, without having to spend time manually digging through their data.<\/p>\n\n\n\n\n\n

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Analytics<\/h3>\n

Analytics is the field of data interpretation, typically used to help guide strategy. When applied to SEO, this can include keyword research as well as website traffic and competitor analysis. The goal of SEO analytics is to improve a website\u2019s ranking in results pages, and ultimately drive more traffic.<\/p>\n \n Read More <\/a>\n\n<\/div>\n\n\n\n

If you’ve spent any time experimenting with popular tools like ChatGPT, you know just how powerful consumer AI is becoming. Analytics Intelligence is how Google harnesses some of that vast power to make GA4 easier for all<\/i> users. With a combination of statistical analysis, machine learning, and natural language processing, it does a lot of the dirty work of analytics so you can get right to the parts that matter to you: the insights and next steps.<\/p>\n\n\n\n

How Does Analytics Intelligence Work?<\/h3>\n\n\n\n

There are two main ways that Analytics Intelligence provides its users with data.<\/p>\n\n\n\n

\"You<\/figure>\n\n\n\n

1. Ask Questions<\/h4>\n\n\n\n

One of the most powerful use cases for Analytics Intelligence is that you can ask it questions in plain English to get fast answers about your site.<\/p>\n\n\n\n

The answers it provides are simple, easy to understand, and use everyday language. They typically give you a quick overview, with links to other solutions and more detailed reports when relevant.<\/p>\n\n\n\n

For example, if you ask Analytics Intelligence a basic question about your analytics like, “How many users did we get yesterday,” its response will be:<\/p>\n\n\n\n

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  • The number of users.<\/li>\n\n\n\n
  • A graph or visualization showing the day’s users.<\/li>\n\n\n\n
  • A “Go to report” button linked to a more detailed report for further insight into the day’s users, trends over time, and other useful stats.<\/li>\n<\/ul>\n\n\n\n

    2. Insights<\/h4>\n\n\n\n

    The other main feature of Analytics Intelligence is auto-generated insights, usually highlighting significant changes or opportunities the AI sees in your analytics that could impact your business. These are offered without you having to ask any questions.<\/p>\n\n\n\n

    Automatic insights can act as an alert system for any major changes or anomalies that could indicate a problem or opportunity you should address quickly. Some examples are sudden increases or decreases in traffic, rapid spikes in conversions, sudden drops in revenue, and other unexpected changes.<\/p>\n\n\n\n

    3. Other Features<\/h4>\n\n\n\n

    Aside from questions and insights, Analytics Intelligence offers features like Smart Goals, Smart lists, and modeling features like session quality and conversion probability.<\/p>\n\n\n\n

    Before You Use Google Analytics Intelligence<\/h2>\n\n\n\n

    To use Analytics Intelligence, you’ll need a GA4 account for a website property that has historical data \u2013 ideally three or more months, so the data and insights you see will be statistically significant.<\/p>\n\n\n\n

    If you try to use Analytics Intelligence for a brand new reporting view without any historical data, the AI may not be able to answer your questions. For example, this is probably what’s happening if you ask a question and get this answer:
    “We understood your question, but there is no data for your profile in this time range.”<\/b><\/p>\n\n\n\n

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