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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.”
HubSpot’s dashboard widgets often create metric overlap issues when tracking similar KPIs across campaigns because the platform cannot intelligently deduplicate data or provide clear metric hierarchies. This leads to inflated numbers and confused reporting when contacts interact with multiple campaigns.
Here’s how to build clean metric tracking that prevents overlap and double-counting while providing clear insights into actual campaign performance and cross-campaign interactions.
Prevent metric overlap with sophisticated data management using Coefficient
CoefficientHubSpotprevents metric overlap through sophisticated data management and custom dashboard configuration that HubSpot’s native widgets cannot provide. Import all campaign touchpoint data fromand build deduplication logic that ensures accurate unique metrics.
How to make it work
Step 1. Import comprehensive campaign touchpoint data.
HubSpotPull all campaign interaction data fromincluding contact IDs, campaign sources, interaction dates, and conversion events. Create unique contact identification that tracks all touchpoints without losing attribution detail.
Step 2. Build deduplication and attribution logic.
Create formulas that identify and handle contacts who appear in multiple campaigns, ensuring accurate unique metrics. Use functions like =COUNTIFS(ContactID,A2,CampaignSource,”<>“&B2) to identify multi-campaign contacts and apply appropriate attribution rules.
Step 3. Create hierarchical metric structures.
Design metric calculations that clearly separate campaign-specific performance from overall performance. Build distinct metrics for “Direct Campaign Conversions” vs. “Campaign-Influenced Conversions” to prevent double-counting while maintaining attribution visibility.
Step 4. Implement attribution modeling that sums to 100%.
Build custom attribution logic that properly assigns conversion credit across campaigns without double-counting. Create “First Touch,” “Last Touch,” and “Multi-Touch” attribution metrics that provide different perspectives without inflating totals.
Step 5. Set up validation and cross-campaign impact analysis.
Create validation formulas to ensure metric accuracy across campaign combinations and track how campaigns influence each other without creating overlapping success metrics. Use conditional logic to prevent double-counting in summary metrics.
Get clean metrics that show true campaign impact
Start buildingThis approach eliminates the metric overlap issues inherent in HubSpot’s native dashboard widgets while providing clearer insights into actual campaign performance and cross-campaign interactions.clean campaign metrics today.
