> For the complete documentation index, see [llms.txt](https://help.daasity.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.daasity.com/core-concepts/data-models/data-explores/source-specific/fairing-survey-responses-explore.md).

# Fairing Explore

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This page was formerly titled "Fairing Survey Responses Explore" and documented the Fairing V1 integration. The new "Fairing" explore documented below replaces it.
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The Fairing Explore lets you analyze post-purchase survey data captured by Fairing. It's automatically created when you connect the Fairing V2 integration to Daasity.

### What's in this Explore

The Explore is organized into three groups of fields:

#### Custom Fields

Daasity-derived fields that join Fairing data to orders, customers, and channels. Use these when you want to combine survey responses with order metrics (revenue, AOV, repeat rate).

#### Questions

One row per Fairing question you've published. Includes the question prompt, type, frequency, and publish date. Use this to see what questions have been asked over time.

#### Responses

One row per survey response. This is the most common field group for analysis. Includes:

* The response itself (e.g. "Friend or Family", "Facebook")
* The associated order ID, order total, and order date
* The customer ID and email
* UTM parameters captured at the time of the response
* Referring question + referring question response (for follow-up "clarification" questions)
* The `event_at` timestamp (response submission time, UTC — see Important Notes)

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**Setup tip:** For Daasity to power your channel attribution with Fairing data, make sure you're using the "Referring Question" field in Fairing and asking the question **"How did you hear about us?"**
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### Where Your Fairing Data Shows Up

Beyond this Explore, your Fairing data feeds two other places in Daasity:

#### 1. Marketing Attribution Dashboard

Survey responses appear as the "Survey-Based" attribution model in the Marketing Attribution Dashboard. This lets you compare what customers SAY drove them to purchase against what last-click / first-click / paid-ad data shows.

#### 2. Custom Attribution Model

Survey-Based Response is the first attribution setting in the Daasity Custom Attribution Model. If a customer answered the survey, that answer takes priority over click-based attribution.