Attribution window misalignment between Google Ads and NetSuite sales cycles creates significant ROI measurement challenges. Google Ads’ default 30-day window often misses B2B sales cycles that extend 90+ days, leading to inaccurate campaign performance assessment.
Here’s how to create custom attribution modeling that reflects your actual business sales cycle timing.
Extended data range imports solve attribution window conflicts
Coefficient enables flexible attribution modeling through custom data integration. While Google Ads uses standard attribution windows, automated data correlation allows you to build attribution models that match your actual NetSuite sales cycle length.
How to make it work
Step 1. Import Google Ads data with extended date ranges.
Pull Google Ads campaign data with custom date ranges that match your actual NetSuite sales cycle length. Import 60, 90, or 120+ days of campaign data to capture the full customer journey from initial click to final purchase.
Step 2. Build custom attribution models in spreadsheets.
Import both Google Ads click data and NetSuite transaction records to create sophisticated attribution models that account for your specific sales cycle timing. Use formulas to correlate campaigns with revenue events across extended timeframes.
Step 3. Track the complete lead-to-revenue journey.
Pull NetSuite Lead and Opportunity records alongside Customer transactions using Records & Lists. This maps the complete customer journey from initial Google Ads click through final revenue recognition.
Step 4. Create custom date-based correlations.
Use SuiteQL Query functionality to create custom date-based correlations between Google Ads campaigns and NetSuite revenue events. This works regardless of standard attribution window limitations.
Step 5. Calculate multi-period ROI performance.
Schedule automated imports that track campaign performance across multiple NetSuite accounting periods. This provides accurate long-term marketing attribution analysis that reflects your actual business cycle.
Match attribution to your actual sales cycle
Custom attribution modeling enables accurate ad spend revenue correlation that reflects your actual business timing rather than being constrained by standard attribution limitations. Start building attribution models that match your real sales cycle.