Users may notice slight differences in data between Google Analytics (GA) and the Appbrew dashboard. This article explains the reasons for these discrepancies and what to expect.
There can be a slight deviation in session data between GA and Appbrew due to differences in tracking logic:
Creates a new session when a user comes from a different deep link (including push deep links)
Creates a new session if the user is inactive for more than 30 minutes
Creates a new session when data changes at midnight
Creates a new session only if a user is inactive for more than 30 minutes
Due to these differences, you may see slightly higher session counts in Google Analytics.
For purchase events, you may notice a deviation of approximately 7-10% between Appbrew and other analytics platforms. This is due to the following:
Appbrew uses Shopify checkout in a web view
It relies on the Shopify pixel to trigger purchase events
In some cases, the web view may fail to trigger this event, resulting in dropped data
While these discrepancies exist, they are generally minor and should not significantly impact your overall data analysis. The deviations are consistent and within an acceptable range for most analytical purposes.
There is no action required to resolve these discrepancies, as they are inherent to the different tracking methodologies. When analyzing your data:
Be aware of these potential differences
Consider using data from a single source for consistency in specific analyses
Focus on trends and relative changes rather than exact numbers when comparing data across platforms
If you have concerns about how these discrepancies might affect your specific use case, consider scheduling a discussion with our support team for a more detailed explanation.