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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.”
Connecting HubSpot ad performance data with individual contact touchpoints requires overcoming HubSpot’s data architecture limitation where aggregate campaign metrics and individual contact interactions exist in separate, unconnected reporting systems.
Here’s how to create seamless connectivity between these data sources for comprehensive attribution analysis that reveals the relationship between campaign performance and individual contact behaviors.
Create seamless data connectivity using Coefficient
Coefficient provides seamless connectivity between HubSpot’s isolated data sources by importing both ad performance metrics and contact touchpoint data into connected spreadsheet tabs. You can use campaign IDs, UTM parameters, or ad set identifiers to create linkage between aggregate performance and individual interactions.
How to make it work
Step 1. Set up dual data stream imports.
Import both HubSpot ad performance metrics and contact touchpoint data into connected spreadsheet tabs. Configure automatic refreshes to maintain current connections without manual intervention.
Step 2. Create common identifier mapping.
Use campaign IDs, UTM parameters, or ad set identifiers to create linkage between aggregate performance and individual interactions. Organize contact interactions chronologically and associate them with corresponding campaign performance periods.
Step 3. Build connection formulas.
Use VLOOKUP to connect contact touchpoints to campaign performance data: =VLOOKUP(B2,CampaignData!A:F,4,FALSE) to pull campaign metrics into your contact analysis. Create INDEX-MATCH formulas for more flexible connections that handle multiple matching criteria.
Step 4. Develop advanced connection capabilities.
Build multi-touch attribution by connecting multiple contact touchpoints to campaign performance for comprehensive attribution analysis. Create performance impact analysis to determine how individual contact behaviors contribute to overall campaign metrics.
Step 5. Set up automated connection maintenance.
Configure real-time data updates so both ad performance and contact touchpoint data refresh simultaneously, maintaining connection accuracy. Enable formula auto-extension so connection formulas automatically include new data as it’s imported.
Transform isolated data into unified insights
This connection framework transforms isolated HubSpot data streams into a unified analytical platform that reveals granular performance understanding and contact-level campaign impact. You get quality vs. quantity analysis and attribution accuracy that connects revenue outcomes to specific touchpoints. Start connecting your HubSpot data sources today.
