GA4 BigQuery Course

🚀 Here’s What You’ll Achieve Through This Course Within 4 Weeks 👇

[No prior knowledge of BigQuery or SQL required.]

• Learn Vibe Coding for GA4 BigQuery - Vibe Coding is prompt-driven coding. Instead of writing code manually, you describe what you want the code to do in plain language. AI (like ‘ChatGPT’) translates that intent (aka vibe) into production ready working code.

• Learn to send and manipulate GA4 data in BigQuery using ChatGPT without understanding a single line of SQL.

• Unlock GA4 BigQuery insights without the SQL headache. Instead of teaching you SQL, I teach you to create effective text prompts in chatGPT, which will automatically create your desired SQL.

• Automate SQL generation with ChatGPT via text prompts. Learn to write hundreds of lines of SQL code within seconds with 100% accuracy.

• Learn to debug SQL in Seconds. Fix errors, rename fields, and adjust outputs by refining prompts.

• Save countless hours trying to manually write and debug complex SQL. So, even if you are proficient in SQL, it is not really the best use of your time to manually create SQL queries.

• Skip the steep learning curve of SQL. If you are just starting out, it could take YEARS to learn SQL at professional level.

• Learn the underlying logic for calculating various GA4 dimensions and metrics in BigQuery. Your GA4 BigQuery data is only as good as the query logic you use.

• The focus is entirely on teaching the underlying logic (instead of the actual SQL). So that you can scale across 'N' SQL use cases and generate consistent outputs repeatedly.

• You get access to 'GA4 BigQuery Composer' (a powerful custom ChatGPT for generating SQL for GA4 data in BigQuery).

🤔 Why Can’t You DIY with ChatGPT?

AI tools lack 'Contextual Awareness', rely heavily on your input and most users struggle because they:

• Don’t fully understand the GA4 BigQuery Schema.

• Lack knowledge of the underlying logic for calculating specific dimensions and metrics. (this is where human expertise comes into the picture).

• Struggle with aggregation levels (event, session, user). You would need to use different aggregation levels depending upon the scope of your analysis (event level, session level or user level analysis). This is another area where human expertise comes into the picture.

• Can't craft precise and effective prompts that scale across various SQL use cases, generate consistent outputs repeatedly and follow a predictable syntax and flow, making them teachable and reusable.

🚀 Vibe Coding is the future but it is far more nuanced.

Effective Vibe Coding goes beyond basic instructions. It requires a deep understanding of the specific domain.

• Every GA4 property can have unique configurations (custom dimensions, event names, etc.). ChatGPT doesn’t have access to a user’s specific GA4 setup, which means it can’t tailor SQL queries to match unique data structures unless the user provides explicit details.

• Every business has unique data collection and analysis requirements. AI lacks intrinsic knowledge of these nuances unless explicitly trained or guided with detailed prompts.

• The effectiveness of AI-generated SQL depends heavily on the clarity and specificity of the input prompt. Users need to describe the schema, logic and desired output in great detail to achieve meaningful results.

• So, while any person can use ChatGPT, not everyone can use it at a professional level for accurate code generation.

• For example, ChatGPT won’t automatically know the logic behind "Engaged Sessions" in GA4 unless explicitly guided. Knowing this requires domain-specific expertise.