Fairing Data Now Lives in Shopify Analytics

Today we launched an integration that writes Fairing survey responses directly into Shopify metafield objects (custom data fields attached to Shopify records). Fairing is a post-purchase survey platform that captures zero-party data, information customers voluntarily share, like how they heard about your brand, immediately after checkout. With this integration, you can now query that survey data inside Shopify Analytics, alongside native Shopify dimensions like product type, billing country, and more.

No CSV exports. No data joins. No BI tool. Just your Fairing data, queryable in ShopifyQL (Shopify's query language for analytics), right where your Shopify data already lives.

Key Benefits of This Integration

• Product-level attribution: See which marketing channels drive conversions for specific SKUs or product categories.

• Geographic breakdowns: Pivot attribution responses by billing or shipping location to identify regional channel performance.

• Survey data on every order: Access Fairing responses directly on the order object in Shopify—no tab-switching required.

• AI-ready data: Attribution data becomes a native dimension available to Shopify's AI Assistant, Sidekick, and future ecosystem tools.

What this actually unlocks

The two most requested reporting features we've heard from customers are geographic and product-level analysis. Both require joining Fairing response data with order-level dimensions that live in Shopify. Until now, that meant exporting data and stitching it together manually.

Now it's a query or a simple configuration of Shopify Analytics. And soon, Shopify's AI Assistant, SideKick.

Product-level attribution. You can group survey responses by product or product category to see which channels are actually driving conversions for specific SKUs. Want to know if the channel mix looks different for your hero products vs. long-tail inventory? That's one report now, not a spreadsheet project.

Geographic breakdowns. Pivot attribution responses by billing or shipping location. Find the regional pockets where a specific channel over-indexes. Use it to inform market-level budget decisions instead of guessing from national averages.

Survey data on every order. Fairing responses are now stored on the order object itself. That means when you pull up an individual order in Shopify, the survey data is right there. No switching tabs, no searching a separate dashboard.

Why we built this on Shopify's infrastructure

We made a deliberate choice not to build this reporting in-house. Here's why:

• Fairing's approach: Write survey data to Shopify metafields and let Shopify Analytics handle querying: no data duplication, no sync headaches.

• Alternative approach: Rebuild order-level data inside a separate platform, requiring duplicate storage, ongoing maintenance, and manual data joins.

It's also a single integration that supports multiple use cases. Geographic analysis, product-level analysis, and any future dimensions Shopify adds to Analytics all work through the same metafield integration. We build it once, and the surface area grows as Shopify's platform grows.

Most importantly, this lets us stay focused on what we actually do: capturing better post-purchase data.

We're not building a BI tool. We're not trying to become your reporting platform. Fairing exists to collect zero-party data (information customers intentionally share with you) that no one else has, and to make sure that data is clean, categorized, and ready to use wherever you need it. That's what we're best at, and it's where we want to spend 100% of our energy.

Shopify Analytics is great at slicing and dicing order data. We're great at capturing what customers tell you. This integration connects those two things without us pretending to be something we're not.

This matters more than it might seem. As AI tools like Sidekick get better at generating reports and answering questions on the fly, the value shifts to whoever has the best underlying data. The reporting layer gets commoditized. The data doesn't. By writing Fairing responses directly to the order object, your attribution data becomes a native dimension available to every tool in the Shopify ecosystem, current and future.

How it works

Enabling the Integration

When you enable the integration in your Fairing dashboard, Fairing begins writing survey responses as metafield key-value pairs on Shopify order objects. Setup takes approximately 5 minutes.

Survey Response Storage

Responses are stored directly on the order object as metafields. Historical data is backfilled when you enable the integration, so you're not starting from zero. You have the option to disable the historical backfill if you'd like.

Using ShopifyQL

From there, you can use these as dimensions in Shopify Analytics, grouping and filtering alongside any native Shopify dimension. If you prefer writing ShopifyQL directly, the fields are available there too. If you prefer the side panel or Sidekick, same deal.

Requirements

• Shopify plan: Compatible with all Shopify plans that support metafields and Shopify Analytics

• Permissions: Requires write_orders scope authorization

• Fairing account: Active Fairing subscription required

• Limitations: Metafield storage is subject to Shopify's standard metafield limits

How to Enable This Integration

1. Log in to your Fairing account and navigate to Integrations in your settings.

2. Locate the Shopify Analytics integration and click Enable.

3. Grant the write_orders scope when prompted (if you haven't already).

4. Choose whether to backfill historical survey data or start fresh.

5. Save your settings. Data will begin syncing to Shopify metafields immediately.

If you have questions, reach out to our team. We'll walk you through the setup and help you build your first reports.