In the first part, we'll break down practical examples in the classic GA4 interface: how to evaluate changes in revenue, transactions, conversion, and campaign performance. In the second part, we'll show how to connect GA4 to Claude and use AI to find insights, build reports, and conduct regular analysis. There will be a lot of practice, real examples, and useful tips that will help you work with data in GA4 at the level of decisions, not just reports..
Who want to structure their approach to data analysis.
Who are looking for ways to speed up their work with GA4 using AI.
Who want to use AI tools to automate routine analysis.
For Marketers
Who look at the numbers in GA4 but don't know where to start the analysis.
Who want to learn how to explain changes in revenue and conversions.
Who strive to make decisions based on data, not gut feelings.
For Business Owners
Who want to understand reports, not just receive them.
Who want to be able to independently evaluate the effectiveness of advertising and channels.
For whom it's important to understand when it's worth scaling a campaign, and when it's better to turn it off.
programs
Webinar Syllabus
PART 1. ANALYSIS IN THE GA4 INTERFACE
What we will talk about
The philosophy of working with data: stating facts vs. real analytics.
An analysis of common hasty conclusions in marketing and the risks of errors.
The fundamentals of mathematical decomposition of key business metrics.
What You Will Achieve
You'll understand how analytics differs from simply stating numbers. You'll learn to decompose revenue and conversion in order to quickly find the cause of changes. You'll see on real examples how to work effectively in the GA4 interface.
What we will talk about
A practical breakdown of a revenue drop case directly in the Google Analytics 4 account.
What You Will Achieve
You'll understand how to apply metric decomposition in practice in the real interface, in order to clearly separate the causes of revenue decline from their effects.
What we will talk about
A step-by-step analysis of search campaign performance.
The sequence for forming analytical conclusions about the feasibility of further actions with traffic.
What You Will Achieve
You'll break down the algorithm for a comprehensive evaluation of marketing channels and learn the criteria on which decisions about scaling or stopping ad campaigns should be based.
What we will talk about
Optimizing work in the GA4 account.
Methods for quick filtering, sorting, and customizing data tables.
What You Will Achieve
You'll learn how to simplify your daily work with the analytics interface through sorting by delta, analyzing the absolute change in metrics, and adding several parameters at once.
Part 2. LEARNING TO ANALYZE GA4 DATA WITH CLAUDE
What we will talk about
"Ask Claude": integration with GA4 and BigQuery via MCP servers.
"Teach Claude": creating custom skills for generating reports.
What You Will Achieve
You'll get a clear understanding of the principles behind connecting local MCP servers and learn how to adapt AI to the specifics of your project for automatic data collection and structuring.
What we will talk about
"Schedule with Claude": automatic scheduled data checks and anomaly investigations.
"Build with Claude": creating custom applications and interactive interfaces based on GA4 data.
What You Will Achieve
You'll understand the concept of autonomous metric monitoring and break down the algorithm by which AI identifies the drivers of sharp spikes or drops in traffic. You'll learn how to use Claude to develop your own interactive dashboards and custom content visualization panels.
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