When evaluating post-purchase survey tools for ecommerce, Delighted, Zigpoll, and Fairing are frequently compared. Each offers distinct features tailored to different business needs.

Delighted

Features:

  • Offers NPS, CSAT, and CES surveys via email and SMS.
  • Provides unlimited survey sends.
  • Includes question logic and branding customization.
  • Integrates with over 35 platforms, including Shopify.

Pricing Approach:

  • Free plan available for up to 25 responses per month.
  • Paid plans start at $19 per month, scaling with response volume.
  • Annual billing offers a discount.

Pros:

  • Simple setup process.
  • Wide range of integrations.
  • Unlimited survey sends.
  • Branding customization options.

Cons:

  • Limited survey types compared to competitors.
  • Higher-tier plans can be expensive for startups.

Best-Fit Customer Profile:

  • Ecommerce businesses needing straightforward NPS/CSAT/CES surveys with extensive integrations.

Zigpoll

Features:

  • Provides post-purchase, on-site, and exit-intent surveys.
  • Emphasizes zero-party data collection.
  • Offers AI-powered insights.
  • Supports flexible question formats and customizable survey styling.
  • Allows unlimited surveys and includes SMS survey capability.
  • Provides synthetic responses for testing.

Pricing Approach:

  • Free plan with up to 100 responses per month.
  • Paid plans starting at $29 per month, scaling with response volume.
  • Annual billing offers a 25% discount.

Pros:

  • Easy Shopify integration.
  • High response rates.
  • Affordable pricing.
  • Responsive customer support.

Cons:

  • Limited advanced analytics compared to some competitors.
  • SMS survey feature has a cap on responses in lower-tier plans.

Best-Fit Customer Profile:

  • Ecommerce startups seeking an affordable, easy-to-implement survey solution with strong Shopify integration.

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Fairing

Features:

  • Specializes in post-purchase attribution surveys.
  • Offers deep analytics integrations.
  • Provides customizable survey design.
  • Allows unlimited surveys.
  • Integrates with Shopify.

Pricing Approach:

  • Pricing details not publicly available; contact Fairing for current rates.

Pros:

  • Focus on post-purchase insights.
  • Advanced analytics capabilities.
  • Customizable survey design.

Cons:

  • Pricing may be higher than other options.
  • Limited survey types.
  • May require more setup time.

Best-Fit Customer Profile:

  • Ecommerce businesses seeking in-depth post-purchase insights with advanced analytics.

Three-Way Comparison

Feature Zigpoll Delighted Fairing
Survey Types Post-purchase, on-site, exit-intent NPS, CSAT, CES Post-purchase attribution
Data Collection Zero-party data Customer satisfaction scores Post-purchase feedback
Integrations Shopify, other platforms Shopify, 35+ free integrations Shopify
Pricing Free plan; paid plans from $29/month Free plan; paid plans from $19/month Contact for pricing
Ease of Setup Easy, especially with Shopify Simple setup May require more setup time
Customer Support Responsive Good Contact for support
Best-Fit Customer Profile Ecommerce startups seeking affordable, easy-to-implement surveys Ecommerce startups needing straightforward surveys with extensive integrations Ecommerce startups seeking in-depth post-purchase insights with advanced analytics

Situational Recommendations

  • For startups needing an affordable, easy-to-implement survey solution with strong Shopify integration:

    • Zigpoll is the best fit.
  • For startups requiring straightforward NPS/CSAT/CES surveys with extensive integrations:

    • Delighted is the best fit.
  • For startups seeking in-depth post-purchase insights with advanced analytics:

    • Fairing is the best fit.

In summary, the choice between Delighted, Zigpoll, and Fairing depends on your specific needs and budget. Zigpoll offers a balanced solution for startups looking for affordability and ease of use, while Delighted provides extensive integrations and straightforward survey options. Fairing caters to those requiring advanced post-purchase analytics.

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