Dominate Google Analytics 4 with ChatGPT 4: This Will Transform Marketing Analytics

In this video, I will show you how to use ChatGPT 4 to extract useful insights from Google Analytics 4 data. This will allow you to drastically increase your productivity in digital marketing analytics.
▬▬▬▬▬▬ V I D E O C H A P T E R S & T I M E S T A M P S ▬▬▬▬▬▬
0:00 Introduction and overview
0:45 GA4 Sample data set
1:10 Constructing the prompt
2:10 Pre-prompting ChatGPT
2:20 First GA4 Insight

[@Johnny-xv3kt]

Thanks for creating this video! Easy to follow and useful content.

[@rabbitmetrics]

Glad it was useful! Thanks for watching

[@TheBestgoku]

Does not GA4 has build in functionality to do this exact same thing? Im a bit confused why u need big query to do this. Amazing tutorial either way. Love ur style.

[@beaunolten8863]

I added everything but after a day there is still no data from analytics in big query. i did the API and the linking correct

[@eddyvu8109]

Thank you for making this video. Thanks a million! Im a mobile developer, Im wondering if there is a way to calculate life time value of mobile user and then build a model of high value users. It would be amazing if you could guide me through this. And one more question, how could I target the future high value users using the high value user in my mobile game?

[@rabbitmetrics]

You're welcome! You can use the behavioral event data you're collecting in your mobile app to build the CLV model. Once you have a good model you can extract the top 5-10% most valuable users as seeds for building lookalike audiences to target new valuable users.

[@eddyvu8109]

@@rabbitmetrics Amazing! May I know what are the behavioral data that you are referring to? Currently, I can collect data with BigQuery such as user advertising id, how many levels that a play has played, and the amount of in-app purchase that he made as well as ltv from ad-revenue, etc
Is there any video that you have covered the CLV model topic? I would love to see how the data is put together 😄

[@rainbowseal69]

Behavioral data can be developed by dividing the levels played against the amount spent. Plot that and you’ll understand who is spending early and who is taking their time. The more raw information you have the the more you can plot together to preview things. That said it would be better if you also have the historical data (rather than a compressed one that doesn’t show how the amount spend built up to its current state)

[@setanbelangdedelduel]

Where i can grab the data set?