How to resolve Google Ads UTM parameter tracking issues in NetSuite revenue reports

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Fix Google Ads UTM parameter tracking issues in NetSuite revenue reports with systematic parameter analysis and automated attribution workflows.

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Google Ads UTM parameter tracking issues in NetSuite revenue reports create significant attribution gaps. UTM parameters get stripped during lead capture, custom fields aren’t consistently populated, and manual data entry bypasses parameter capture entirely.

Here’s how comprehensive data integration systematically resolves UTM tracking problems for accurate campaign attribution.

Custom field analysis identifies UTM tracking breakdowns

Coefficient enables systematic UTM tracking analysis through comprehensive data integration. While manual UTM parameter validation is time-intensive, automated data correlation reveals where campaign attribution breaks down between Google Ads and NetSuite .

How to make it work

Step 1. Import NetSuite records with all UTM-related custom fields.

Use Records & Lists to pull NetSuite Lead and Customer records with all UTM-related custom fields. This identifies where parameter tracking breaks down in your revenue attribution process.

Step 2. Cross-reference Google Ads campaigns with NetSuite UTM data.

Pull Google Ads campaign data with UTM parameters, then correlate with NetSuite records to identify attribution gaps and validate tracking accuracy across your lead capture process.

Step 3. Map UTM parameters to actual revenue outcomes.

Import NetSuite transaction data with UTM fields using Records & Lists to enable direct correlation between Google Ads campaigns and actual revenue. This shows which campaigns drive real business results.

Step 4. Create automated UTM validation workflows.

Set up automated workflows that flag NetSuite records missing UTM parameters, helping identify systematic tracking failures in your lead capture process before they impact attribution analysis.

Step 5. Build multi-touch attribution models.

Import customer transaction history to create comprehensive attribution models that account for multiple Google Ads touchpoints throughout the NetSuite sales cycle, even when some UTM data is missing.

Step 6. Schedule continuous UTM monitoring.

Set up regular data refreshes to continuously monitor UTM parameter capture rates and identify new tracking issues as they develop, maintaining attribution accuracy over time.

Step 7. Calculate campaign performance with UTM-attributed revenue.

Combine UTM-attributed NetSuite revenue data with Google Ads spend metrics to calculate accurate campaign-level ROI and customer acquisition costs based on properly tracked attribution.

Maintain reliable UTM parameter attribution

Systematic UTM parameter analysis provides the foundation for accurate marketing attribution that manual tracking validation cannot consistently achieve. Start building reliable Google Ads and NetSuite UTM tracking today.

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