"UserLoop vs. Fairing: Which Post-Purchase Survey App Is Right for You?"

Fairing (formerly Enquire Labs) is one of the most established post-purchase survey apps on Shopify. It carved out the "How did you hear about us?" category early and built a solid product around it. If you search for Fairing alternatives, you're probably running into one of its limitations: the price, the lack of popup surveys, the manual work of grouping open-text responses, or the absence of video collection.

UserLoop takes a different approach. Instead of building around a single survey type, it covers seven: checkout (post-purchase), popup, app block, email, link, NPS, and video testimonials. It layers AI analysis on top of all of them.

This isn't a "we're better" hit piece. Both apps are good at different things. The right choice depends on what you need, how many responses you're processing, and whether post-purchase attribution is your only use case or one of several.

Quick comparison

Fairing is a focused post-purchase attribution tool. It does one thing and does it well. You install it, add a "How did you hear about us?" question to your checkout page, and start collecting responses. It integrates with attribution platforms like Triple Whale and Northbeam, and offers a Question Stream feature that rotates questions across orders.

UserLoop is a broader survey platform that includes post-purchase attribution alongside popup surveys, NPS, email surveys, video testimonials, and AI-powered analysis. It costs less per month, offers a free plan, and automates tasks that Fairing requires you to do manually.

Here's where each app stands on the features that matter most:

Survey types:

• Fairing: Post-purchase checkout surveys only
• UserLoop: Post-purchase, popup, app block, email, link, NPS, video testimonials (7 types)

AI channel grouping:

• Fairing: Manual rules required for open-text categorization
• UserLoop: Automatic AI grouping of free-text attribution responses

Video testimonials:

• Fairing: Not available
• UserLoop: Built-in video collection from survey flows

Popup surveys with discounts:

• Fairing: Not available
• UserLoop: Auto-generated Shopify discount codes on survey completion

Conversational data analysis:

• Fairing: Not available
• UserLoop: MCP integration for querying data via Claude or ChatGPT

Starting price:

• Fairing: $49/month
• UserLoop: Free plan available, paid from $29/month

Where Fairing wins

Fairing has real advantages, especially for stores with specific needs.

Established integrations with attribution platforms

Fairing connects directly to Triple Whale, Northbeam, Rockerbox, and similar attribution tools. If your marketing team already uses one of these platforms and wants survey data flowing into their existing attribution model, Fairing's integrations are mature and well-tested.

This matters for brands spending heavily on paid acquisition. When you're allocating $50K+ per month across Meta, Google, TikTok, and other channels, having survey data inside your attribution platform (rather than in a separate dashboard) reduces friction in decision-making.

Question Stream

Fairing's Question Stream feature rotates different questions across orders. Instead of asking every customer the same question, you can ask Customer A "How did you hear about us?", Customer B "What almost stopped you from buying?", and Customer C "Who are you shopping for?" on the same day.

This lets you collect diverse data without increasing survey length for any individual customer. It's a thoughtful feature for stores that want insights beyond just attribution but don't want to add multiple questions to the checkout page.

Brand recognition

Fairing has been around longer and has more case studies, reviews, and brand-name logos on its website. For teams that need to justify a tool purchase to leadership, that social proof can matter. "We use the same survey tool as [large DTC brand]" carries weight in some organizations.

Where UserLoop wins

AI channel grouping vs. manual rules

This is the biggest functional difference between the two platforms and the one that matters most at scale.

When you ask "How did you hear about us?" as an open-text question, customers describe the same channel in dozens of ways. "TikTok" becomes "tiktok," "Tik Tok," "saw a video on TT," "my fyp," "a TikTok creator," and "that app with the short videos." "Word of mouth" becomes "my friend," "a coworker," "my mom told me," "someone at the gym," and "a recommendation."

With Fairing, you handle this by creating rules: if the response contains "tiktok" or "tik tok" or "TT," categorize it as TikTok. You maintain these rules manually, and every new variation requires a new rule. Responses that don't match any rule sit in an "uncategorized" bucket until you deal with them.

UserLoop's AI channel grouping handles this automatically. The AI reads each response, understands the intent (not just keyword matches), and groups it into the correct channel bucket. "My best friend's sister mentioned it" goes into Word of Mouth. "Saw an ad while scrolling reels" goes into Instagram Ads. "Found you on Google when searching for [product]" goes into Organic Search.

The difference is negligible at 50 responses per month. At 500, the manual rule maintenance becomes a recurring task. At 2,000+, it's either automated or it's broken. We covered how this AI grouping works in detail in How Did You Hear About Us? Survey: Setup Guide & AI Analysis.

Seven survey types vs. one

Fairing only operates on the post-purchase checkout page. If you want to survey visitors who haven't purchased yet, collect feedback via email after delivery, run NPS programs, or gather video testimonials, you need additional tools.

UserLoop handles all of these in one platform:

• Post-purchase checkout surveys for attribution and purchase experience
• Popup surveys triggered by exit intent, scroll depth, or time on page
• App block surveys embedded directly in your Shopify theme
• Email surveys sent after delivery for product feedback
• Link surveys shareable anywhere
• NPS surveys with revenue-aware analytics
• Video testimonials collected through the survey flow

The consolidation matters beyond convenience. When all your survey data lives in one platform, you can analyze patterns across touchpoints. You can see that customers who came from TikTok (attribution survey) give higher NPS scores (NPS survey) and are more likely to record video testimonials (video collection). That cross-survey insight is impossible when your data is fragmented across three or four tools.

Popup surveys with discount codes

Fairing can't run popup surveys at all. UserLoop turns popups into a data collection mechanism by generating unique Shopify discount codes when visitors complete a survey.

Instead of the standard "give us your email for 10% off" popup (which everyone ignores because they've seen it a thousand times), you ask a question: "What brought you to our store today?" or "What product are you looking for?" The visitor answers, and they receive a unique discount code.

You collect zero-party data and incentivize the interaction. The visitor gets a discount. You get information about purchase intent, traffic sources, or product interest from people who haven't bought yet. We explored this approach in depth in Popup Surveys vs. Email Popups: Why Asking a Question Converts Better.

Video testimonial collection

Neither Fairing nor most other survey tools collect video from customers. UserLoop includes video testimonial collection as a native survey type. Customers can record or upload a video review directly from a survey, no separate app or platform required.

This replaces the UGC agency model where you pay $150-500 per video from creators who may have never used your product. Instead, you collect authentic videos from real customers at the cost of whatever incentive you offer (a discount code, a loyalty reward, or just asking nicely).

As we covered in UGC vs. Paid Influencer Content: Why Real Customer Videos Convert Better, authentic customer videos outperform paid creator content in conversion rate and cost per acquisition. Having the collection mechanism built into your survey tool means it scales automatically as your order volume grows.

Conversational data analysis via MCP

Fairing gives you dashboards and reports. You can see which channels drive the most responses, track trends over time, and export data. That's standard.

UserLoop's MCP integration lets you connect your survey data to Claude or ChatGPT and ask questions in plain English:

• "Which attribution channel has the highest average order value?"
• "What are the top three purchase barriers mentioned this month?"
• "How does NPS differ between customers who came from Meta ads vs. organic search?"
• "Show me the trend in word-of-mouth attribution over the last 90 days"

This is fundamentally different from dashboards. Dashboards answer questions you already thought to ask. Conversational analysis lets you explore questions you didn't know you had. We walked through real examples in Chat With Your Survey Data: How AI Is Replacing Spreadsheet Analysis and explained the technical setup in How to Use MCP to Connect Your Customer Data to Claude and ChatGPT.

Price

Fairing starts at $49/month with no free tier. Plans scale up from there based on order volume.

UserLoop offers a free plan that includes core survey functionality. Paid plans start at $29/month. For a store processing the same volume of surveys, UserLoop costs less while providing more survey types and AI analysis features.

The price difference compounds when you factor in the tools Fairing doesn't replace. A store using Fairing for attribution, a separate tool for NPS, another for popup surveys, and a UGC platform for video testimonials could easily spend $150-300/month across multiple subscriptions. UserLoop consolidates those into a single platform.