Ways to recover your data before migrating to GA 4
Posted: Mon Apr 21, 2025 3:30 am
Downloading your reports manually from Universal Analytics. This method is simple and free, but its manual nature can be a bit cumbersome.
Sync your Google Sheets with Google Analytics using the corresponding API and transfer the desired data into spreadsheets. This solution isn't very complex and can be automated, but it does require organization and time to program everything correctly. Knowledge of Google Apps Script can make this solution even more powerful and effective.
Other external tools that connect to pakistan mobile database own API can also be used : this solution is recommended for large corporations looking to migrate large volumes of data.
The BigQuery tool is ideal for Universal Analytics users who manage 360 data and want to store it.
Having mentioned BigQuery gives us the opportunity to share a key tip for Google DataStudio users when migrating to Google Analytics 4:
Data migration from Google DataStudio has been shown to generate some quota errors due to the low limits. Fortunately, this can be easily resolved by using BigQuery , where you can store your data for free for up to two months until you resolve the issue.
Sync your Google Sheets with Google Analytics using the corresponding API and transfer the desired data into spreadsheets. This solution isn't very complex and can be automated, but it does require organization and time to program everything correctly. Knowledge of Google Apps Script can make this solution even more powerful and effective.
Other external tools that connect to pakistan mobile database own API can also be used : this solution is recommended for large corporations looking to migrate large volumes of data.
The BigQuery tool is ideal for Universal Analytics users who manage 360 data and want to store it.
Having mentioned BigQuery gives us the opportunity to share a key tip for Google DataStudio users when migrating to Google Analytics 4:
Data migration from Google DataStudio has been shown to generate some quota errors due to the low limits. Fortunately, this can be easily resolved by using BigQuery , where you can store your data for free for up to two months until you resolve the issue.