Fairing
Fairing Overview
Overview
Guides:
Platform Overview
Understanding Fairing:
Fairing is a post-purchase survey platform designed to help e-commerce brands collect zero-party data directly from their customers. Its core feature, Question Stream™, enables merchants to deploy short, targeted surveys on the checkout or order confirmation page, right after a purchase is completed.
By capturing insights at a moment of high customer engagement, Fairing helps brands uncover data that traditional analytics tools often miss, such as how customers discovered the brand or what motivated their purchase. This direct feedback provides a more accurate understanding of marketing attribution, audience intent, and overall customer behavior.
Key Features
- Post-Purchase Surveys (Question Stream™): Deploy dynamic, branded surveys immediately after checkout to gather valuable customer insights without disrupting the purchase experience.
- Zero-Party Data Collection: Collect voluntary, first-hand data directly from customers, including discovery paths, purchase motivations, and product preferences—data that’s often invisible in standard analytics tools.
- High Response Rates: Engage customers at a key touchpoint where intent is highest, with response rates typically ranging between 40–80%.
- Marketing Attribution: Identify which campaigns, channels, or influencers are driving conversions. Fairing helps brands uncover the source of “dark traffic” (direct visits without trackable referral data) to improve marketing accuracy.
- Audience Segmentation: Use post-purchase feedback to build more precise audience segments for retargeting, personalization, and campaign optimization.
- Conversion Rate Optimization (CRO): Apply insights from survey responses to refine landing pages, ad creative, and on-site messaging, improving both conversion rates and marketing efficiency.
Use Cases
Marketing Attribution Enhancement:
Capture post-purchase feedback to verify which marketing channels or campaigns are actually influencing conversions, improving budget allocation and reporting accuracy.
Customer Insight Collection:
Understand customer motivations, why they buy, how they discovered your brand, and what influenced their decision, to inform future product and campaign strategies.
Audience Segmentation for Retention:
Use survey data to create detailed customer profiles for personalized follow-up messaging, loyalty programs, or email flows.
Conversion Rate Optimization:
Apply insights from survey data to test and refine website design, ad creative, and checkout experiences for improved performance.
Updated 2 days ago
