Avoid errors and improve data quality in Branch
Broken or Misconfigured Deep Links
Challenge: Improper or broken deep links can lead users to the wrong landing pages or fail to open the app.
Impact: Lost users and poor user experience.
Attribution Mismatches
Challenge: Incorrect attribution of mobile app installs or user actions.
Impact: Inaccurate marketing insights and poor campaign optimization.
Failure to Track All Touchpoints
Challenge: Not tracking user interactions across all touchpoints, such as within the app or between devices.
Impact: Incomplete attribution data and poor targeting.
Incorrect Mobile Campaign Tracking Setup
Challenge: Incorrect or missing tags in mobile campaigns.
Impact: Missed performance insights and incomplete reporting.
Data Discrepancies Between Platforms
Challenge: Discrepancies between Branch and other analytics platforms.
Impact: Conflicting insights leading to inefficiency in campaign optimization.
Deep Link Validation
Automatically check that your deep links are working properly, leading users to the right pages within your app.
Attribution Monitoring
Validate attribution across all platforms, ensuring that Branch correctly tracks installs and user actions from each marketing campaign.
Comprehensive Touchpoint Tracking
Ensure that every user interaction, whether within your app or across devices, is properly tracked for consistent attribution.
Campaign Tagging Setup Validation
Verify that your campaign tags are properly set up, reducing the risk of data loss or misattribution.
How do I fix attribution mismatches in Branch?
Incorrect attribution can skew your campaign ROI. Trackingplan validates your Branch setup to confirm that installs and post-install events are tied back to the right campaigns and sources, eliminating guesswork and improving accuracy.
Why does my data differ between Branch and Google Analytics?
Mismatched event counts and attribution in Branch vs. GA are common pain points. Trackingplan identifies discrepancies between platforms, helping you reconcile differences in metrics, attribution models, or tracking logic.
Still have questions?
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Reduction in data errors in reports
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