Learn Vibe Coding for SQL Generation for GA4 BigQuery. I have been vibe coding for over a year, before it even had a name and have perfected it to the point where it is now classed as DSL (Domain Specific Language) by chatGPT for guiding AI Systems in generating SQL queries

So these banners are definitely helping in collecting more data in a less transparent way. This is the EU's export to the world.

Every time you see a cookie popup, a web analyst somewhere is probably pitching server-side tagging to their boss.There is so much advancement in technology because of these banners from data modelling to fingerprinting.

💡 Tip: Here is how you can save customization (such as adding a comparison, adding a secondary dimension, or sorting the data table by a particular metric) applied to a GA4 report. 👇.

If you are chasing accurate progress, use the correct metric system, likely the one that keep you grounded.

It’s like the numbers are playing mind games and holding you back. Extend this logic to GA4. You are tracking page views as conversions and concluding that you are are making massive progress.

Also the psychological weight of "200" lbs feels massive compared to "91" kg, even though they are the same. This actually makes it harder even to deadlift 200 lbs. You might fool yourself into thinking you are lifting Mount Olympus when it’s just a rock.

When you use faulty metric system, it can significantly mess with your perception of progress. For example, you deadlift 200 lbs feel like Hercules. But in reality you only deadlift 91 kg. The number 200 looks so much bigger than 91 that it gives the illusion of immense strength.

☠️ If you rename events in GA4, it can skew your analytics data for good. 👇.

☠️ Don't use custom reports in GA4. Instead, create exploration reports from standard reports. 👇.

🤯 When analysing data and building reports in GA4, focus on user-scoped dimensions and metrics over session and event-scoped ones. Don't start with the session or event scope. 👇.

☠️ 💀 None of the AI tools creates a correct regex for GA4. To fix this problem, I developed 'GA4 Regex Builder' (a custom ChatGPT). You can see the difference in performance in the screenshot below. 👇.

Vague success stories with a call-to-action designed to hook gullible readers. Real high-achievers don’t flex on LinkedIn; they’re too busy actually building.

If you believe Andrew Tate is a billonaire, you will also believe stories like “we grew ______ to 20M ARR. Here is how we did it……Comment ____ to get _____.” It is a tired playbook but works because it preys on people’s desperation for quick success formulas.

💥 🤯 Google Cloud Platform (GCP) is the native and best option for GTM Server-Side Tagging. Everything else is a headache and often results in additional costs, directly or indirectly, down the line.

☠️ 💀 Every time a prospect asks to fix their GA4/GTM tracking issues, I always ask whether they are using a non-standard implementation of GA4/GTM. And if they 'yes', I know immediately where the issue could be. 👇.

The use of Audience triggers in GA4 can significantly increase the volume of "unassigned" traffic. But there is a fix. 👇.

Functional Strength > Muscle Size. That’s 30 kg (66 lbs) in one hand and I only weigh 75 kg. Don’t let the muscle size fool you. There are lot of lean/skinny guys who are exceptional strong. Kudos to Anatoly for inspiration.

Each request enters a 7 day grace/preview period before deletion begins. After this period, actual deletion can take 7–63 days, depending on data volume.

To fully remove an unwanted event and its parameters from GA4, two separate data deletion requests are needed:. >> Delete all parameters for the specific event. >> Delete the event itself.

The best practice is to wait for the first request (parameters deletion) to be fully processed before submitting the second request (event name deletion).