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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Accurate campaign-to-deal mapping requires blending Google Ads campaign data with HubSpot deal records, but native HubSpot reporting lacks the flexibility for complex attribution models.
You’ll discover how to create precise revenue attribution by importing HubSpot deals, mapping campaign identifiers, and building custom attribution logic using spreadsheet formulas.
Build campaign revenue attribution with data blending using Coefficient
CoefficientHubSpotexcels at solving Google Ads attribution challenges by enabling data blending directly in spreadsheets. You can importdeals with all campaign identifiers, then create sophisticated attribution models that native CRM reporting simply can’t handle.
This approach provides more flexibility than standard HubSpot reports, allowing custom attribution windows and complex multi-touch models while maintaining data accuracy for marketing attribution analysis.
How to make it work
Step 1. Import HubSpot deals with campaign data.
Use Coefficient to pull deal records including deal ID, amount, close date, and contact associations. Most importantly, import custom properties containing UTM parameters or campaign data. Apply dynamic filters to focus on deals with specific campaign identifiers or date ranges matching your attribution window.
Step 2. Create campaign mapping logic in Google Sheets.
Use VLOOKUP or INDEX/MATCH formulas to connect campaign IDs to closed deals. For example: =VLOOKUP(A2,CampaignData!A:C,3,FALSE) to match deal campaign IDs with ad spend data. Build attribution models using formulas like =IF(B2=”first-touch”,C2,IF(B2=”last-touch”,D2,C2*0.5+D2*0.5)) for multi-touch attribution.
Step 3. Calculate campaign ROI with spreadsheet formulas.
Create ROI calculations by matching ad spend to closed revenue. Use formulas like =SUMIF(CampaignID_Column,E2,Revenue_Column)/SUMIF(CampaignID_Column,E2,Spend_Column) to calculate ROI by campaign. Include customer lifetime value calculations for more accurate long-term attribution.
Step 4. Set up automated attribution tracking.
Configure scheduled refreshes to maintain current attribution data. Use hourly updates for active campaigns and Coefficient’s append feature to track attribution changes over time. This creates a historical record of how attribution evolves as deals progress through your pipeline.
Transform your campaign attribution accuracy
Start buildingThis method delivers precise Google Ads revenue attribution with custom models that adapt to your business needs. You get granular campaign tracking, flexible attribution windows, and automated updates that keep your ROI calculations current.better attribution models with Coefficient today.
