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Site Analytics & Attribution

Attribution surveys for calibration

SourceMedium syncs Fairing survey responses, enabling attribution-model calibration and analysis 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.

Self-reported acquisition 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

Setup depends on the source. We confirm access requirements, history, cadence, and customer responsibilities before implementation begins.

1

Connect Fairing

Enter your Fairing API credentials.

2

Survey sync

Survey responses sync and link to Shopify orders.

3

Calibration analysis

Use self-reported data to validate and calibrate attribution models.

Ready to stop debating the numbers?

Book a platform walkthrough

In a 30-minute walkthrough, we'll review your current data stack, show how SourceMedium would replace or complement it, and demonstrate workflows relevant to your business.