However, by transferring this data into BigQuery, it becomes possible to manipulate and use it in various combinations, overcoming the limitations impos by the Analytics interface. Integration with other data: BigQuery isn’t just limit to GA4 data. You can easily integrate other data sources, such as data from other systems or business transactions, allowing you to gain a complete view of your business.: When we work on platforms like GA4, it is not possible to use filters and conversions retroactively.
This means that if we set up a conversion today,
we will only be able to view it from data generat from that point forward. However, with the use of BigQuery, we can work retroactively thanks to the format of the sav data and the asia email list possibility of manipulating it later. This means enjoying the flexibility to apply filters and conversions to historical data, allowing us to obtain a more complete and in-depth analysis. Report customization: BigQuery lets you create custom reports bas on GA4 data, providing greater flexibility than standard GA4 report capabilities.
Not only that, BigQuery easily integrates
with other tools and platforms, allowing you to import and export data from different sources. You can also connect BigQuery to data visualization tools, such as Google Looker Studio or Tableau, to create interactive reports and dashboards. Conclusions BigQuery and GA4 are a powerful combination for data analysis. The integration of these two tools offers companies the opportunity to make the most of the data collect by GA4, B2C Lead enabling advanc, personaliz and scalable analyses. With BigQuery, you can go beyond the limitations of GA4’s standard functionality, perform complex analyzes and gain deeper insight into your customers and their behavior: the combin use of GA4 and BigQuery offers numerous advantages for extracting useful information for the business in a complete, fast and efficient way, keeping costs relatively low.