Post by santohasan45 on Feb 14, 2024 10:21:50 GMT
The reasons for such differences may be: Different distribution of conversions by sources and channels, due to different event accounting models. In this case, the number of conversions and value are the same for all sources, and the differences arise only in the distribution of sources and channels. Duplication of events is excluded in Google Analytics 4. In Universal Analytics, some conversions could be doubled, and accordingly, the income was also doubled.
If this phenomenon took place, then in GA4 the statistics will be clean and correct, and this is a positive change. If there are no duplicates, but the conversions Hong Kong Email List in the reports still do not match, check the reports for the limits set. In GA4, some reports apply threshold values .
This is probably an incomplete list of reasons, and as we continue to work with analytics, we will encounter other questions and find new solutions, but for now we will talk about these three reasons and further. Thresholds in analytics are limited, incomplete data sets of information displayed in reports. Such restrictions are applied automatically by the system so that it is impossible to obtain sensitive information or
If this phenomenon took place, then in GA4 the statistics will be clean and correct, and this is a positive change. If there are no duplicates, but the conversions Hong Kong Email List in the reports still do not match, check the reports for the limits set. In GA4, some reports apply threshold values .
This is probably an incomplete list of reasons, and as we continue to work with analytics, we will encounter other questions and find new solutions, but for now we will talk about these three reasons and further. Thresholds in analytics are limited, incomplete data sets of information displayed in reports. Such restrictions are applied automatically by the system so that it is impossible to obtain sensitive information or