What KnoCommerce is
KnoCommerce is a post-purchase survey platform built for e-commerce, competing with Fairing (formerly EnquireLabs) in the same product category. The flagship use case is identical: embed a short survey on the Shopify post-purchase confirmation page asking customers “How did you hear about us?” and capture self-reported attribution alongside deterministic tracking.
The competition between KnoCommerce and Fairing is mostly on UX polish, pricing, integration depth, and analytics features. Both do the same fundamental job. Choice comes down to specific feature preferences.
Why self-reported attribution matters
The same logic as Fairing: deterministic tracking captures click-based attribution but misses entire categories of influence:
- Offline channels, TV, radio, billboards, OOH, podcasts (no click signal)
- Word-of-mouth, friend recommendations, social mentions
- View-through influence, saw an ad, didn’t click, bought later
- Cross-device journeys, discovered on phone, bought on desktop weeks later
For brands running serious offline or word-of-mouth marketing, deterministic attribution under-counts those channels significantly. Self-reported attribution surfaces them.
Beyond attribution
KnoCommerce surveys can capture additional data useful for the business:
- Demographic segmentation, gender, age range, profession
- Use-case discovery, “what problem are you solving?” for product roadmap
- Customer sentiment, immediate post-purchase NPS or satisfaction
- Brand-awareness gaps, “what did you almost choose instead?”
The high response rate of post-purchase surveys (40-60% for short forms) makes them disproportionately valuable for customer research.
How the data flows
- Customer completes Shopify purchase
- KnoCommerce surfaces 1-2 questions on the confirmation page
- Customer responds
- Response logged against the order
- Data syncs to the attribution stack via webhook or API
The combined view, tracked attribution + self-reported attribution, gives a more honest channel-mix picture than either signal alone.
FAQ about KnoCommerce
KnoCommerce vs Fairing?
Both do the same core job, Shopify post-purchase surveys for self-reported attribution. Feature parity is close. Choice comes down to UX preferences, pricing tier, and any specific analytics features one platform happens to have ahead of the other.
How accurate is self-reported attribution data?
Imperfect but directionally useful. Customers misattribute (they say “Google” when they actually saw a Meta ad first). But channels that consistently show up in self-reported data are genuinely contributing, even if the proportions are noisy.
What do I do with KnoCommerce data?
Combine with deterministic tracking in the attribution model. Channels showing up strongly in self-reported but invisible in tracking (podcasts, word-of-mouth) get fed into the model as a calibration. Channels that look strong in tracking but absent from self-reported (over-attributed retargeting) get weighted down.