Crescendo Labs launches BigQuery integratio
Posted: Tue Jan 07, 2025 5:51 am
Further reading:n! Fast, easy-to-use, easy-to-integrate data warehousing and analysis platform Reason 3: The “definitions” of bilateral data are different Finally, a very common situation is not caused by Google technical problems. Rather, the users themselves think they are comparing the same data/indicators, but in fact the "definitions" (captured data) of the two indicators on the GA4 report and on another system are fundamentally different. Analytics Canvas points out that when users compare bilateral data and there is a gap, they can check the following points to confirm that they are really comparing "the same" data:
The exact same property The exact same filters the exact same time period the exact same metrics and dimensions Regarding the last point, for example, first_user_source_medium, session_source_medium and source_medium, although very similar, are all different data dimensions. In addition, it is also important to note that the definitions behind the greece whatsapp phone number numbers generated by the GA4 report and the numbers captured through the API may be different. For example, the API may generate data and estimates through the four traffic source dimension utm data of source, medium, campaign and content, but the GA4 native report may only use 2 to 3 of the traffic source dimensions to generate data. Conclusion The above are the 3 most common reasons for data gaps in GA4.
If it is confirmed that none of the above reasons are the cause, you can refer to the following information to solve the problem of data gap. Regarding GA4 data delay issue: [GA4] Data freshness Detailed steps to check the data gap between MAAC and GA4: Crescendo Lab Help Center A detailed discussion of data discrepancies for different types of GA4 data: Data Discrepancies in Google Analytics 4The latest digital marketing trends in 2025: 4 digital marketing strategies you should try! Hydra Liang Taking stock of the market turmoil caused by the explosion of AI marketing in the past year , we found that consumers will have new consumption patterns in 2025, and the necessary digital marketing strategies for brands will officially usher in a new chapter.
The exact same property The exact same filters the exact same time period the exact same metrics and dimensions Regarding the last point, for example, first_user_source_medium, session_source_medium and source_medium, although very similar, are all different data dimensions. In addition, it is also important to note that the definitions behind the greece whatsapp phone number numbers generated by the GA4 report and the numbers captured through the API may be different. For example, the API may generate data and estimates through the four traffic source dimension utm data of source, medium, campaign and content, but the GA4 native report may only use 2 to 3 of the traffic source dimensions to generate data. Conclusion The above are the 3 most common reasons for data gaps in GA4.
If it is confirmed that none of the above reasons are the cause, you can refer to the following information to solve the problem of data gap. Regarding GA4 data delay issue: [GA4] Data freshness Detailed steps to check the data gap between MAAC and GA4: Crescendo Lab Help Center A detailed discussion of data discrepancies for different types of GA4 data: Data Discrepancies in Google Analytics 4The latest digital marketing trends in 2025: 4 digital marketing strategies you should try! Hydra Liang Taking stock of the market turmoil caused by the explosion of AI marketing in the past year , we found that consumers will have new consumption patterns in 2025, and the necessary digital marketing strategies for brands will officially usher in a new chapter.