Fairing in Polar: what customers say drove the sale, next to the data.
Fairing post-purchase survey responses, the 'how did you hear about us' answers, pulled into Polar and blended with Shopify orders, ad spend and your first-party Pixel. Self-reported, zero-party attribution sits next to click attribution, so you can triangulate true channel contribution and finally see the podcasts, streaming and word of mouth that click tracking never catches.
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What customers tell you, next to what the pixels tracked.
Connect Fairing in a couple of clicks.
A Polar account with Shopify
Fairing plugs in next to your store data so survey answers meet real orders and revenue automatically.
Connect your data →A Fairing account with responses
You need a live Fairing post-purchase survey collecting answers, and access to Fairing's Integrations settings to generate an API key. The more responses you gather, the more reliable the self-reported split.
Fairing →One API key
A single Secret Token from Fairing, pasted into Polar. No tag changes, no CSV exports, no data team. Responses sync in real time.
Generate your key in Fairing ~1 min
Add Fairing in Polar and paste the key ~2 min
See it in your reports the payoff
Put the customer's own answer next to the data.
Connect once and every dashboard, report and AI answer can read self-reported survey attribution blended with your Pixel journeys, ad spend and real Shopify revenue.
Survey answers in. Truer attribution out.
Fairing
Polar
The survey-vs-pixel attribution report that runs itself.
Scheduled automation
No AI neededUse Polar Automations to run a rule every Monday: rank channels by self-reported share, put the Pixel click share next to each, and send the gaps to Slack or email.
AI agent
DynamicGive an agent the Polar MCP. Ask it to compare last week's Fairing answers to Pixel attribution by channel and draft the over-credited / under-credited / untracked call with the reasoning.
More Polar + Fairing use cases
Weekly attribution triangulation
Last week's self-reported channel share next to Pixel and platform claims, in your inbox before the Monday standup.
See the use case ›Use case 02Post-purchase CAC by channel
Apply the survey's channel breakout to spend and orders to estimate CAC for channels click tracking can't cost.
See the use case ›Use case 03Dark channel discovery
Surface the podcasts, streaming, TV and word of mouth that only ever show up when customers tell you.
See the use case ›Use case 04Survey vs Pixel gap audit
Find the channels the pixels over-credit and the ones customers name that never get tracked, ranked by orders.
See the use case ›Use case 05Budget reallocation call
Shift spend toward channels customers validate and away from the ones only a platform claims, with revenue next to each.
See the use case ›Use case 06Response health check
Track response rate and sample size so you know when the self-reported split is solid enough to act on.
See the use case ›