Attribution surveys for incrementality
SourceMedium syncs Fairing survey responses—enabling incrementality measurement and attribution model calibration based on customer self-reporting.
Fairing
Site behavior and attribution systems used to reconcile session-to-order performance.
Why Fairing?
Fairing's post-purchase surveys reveal true channel contribution. SourceMedium joins Fairing data with orders and marketing spend for calibrated attribution.
Multi-question surveys
Complex survey flows capture nuanced attribution and brand awareness.
Incrementality signals
Customers report whether ads influenced their purchase decision.
Channel calibration
Self-reported data validates or corrects attribution models.
Cohort analysis
Survey responses segmented by customer acquisition cohort.
What you can ask
With the AI Analyst, you can query Fairing data using natural language. Here are some examples.
What percentage of customers were influenced by ads? Which channels have the highest self-reported attribution? Compare Fairing attribution vs. last-click Show me ad influence rate by acquisition channel How does attribution vary by customer segment? Joins with other integrations
Fairing data is designed to join with your other data sources for unified analysis.
How it works
Get started in minutes. Connect your account, configure sync settings, and start querying unified data in BigQuery.
Connect Fairing
Enter your Fairing API credentials.
Survey sync
Survey responses sync and link to Shopify orders.
Calibration analysis
Use self-reported data to validate and calibrate attribution models.
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