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CSS A/B Testing logo

CSS A/B Testing

Develop by Shopify

$9.99-$29.99

/ Month
Free plan available

A/B test: Prices, Titles, Homepage Banners, Announcement bars

Real-time analytics
A/b test prices
Compare titles
Optimize banners
Track announcement bars
Automatic test end

Built by Shopify

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Introduction Video

Description

Optimize your store with A/B testing for data driven decisions & higher clicks.

Boost your store’s performance with CSS A/B Testing! Test and compare Product Prices, Titles, Banners, and even animated Announcement Bars to see what works best. Create variants, compare and track results, and find the winner that drives the most clicks and conversions—all with an easy-to-use interface. Make smarter decisions driven by data!

Boost your store’s performance with CSS A/B Testing! Test and compare Product Prices, Titles, Banners, and even animated Announcement Bars to see what works best. Create variants, compare and track results, and find the winner that drives the most clicks and conversions—all with an easy-to-use interface. Make smarter decisions driven by data! more
  • A/B tests on Product Price, Product Title, Image Banners, Announcement Bars.
  • Add animation to your announcement bar and see which grabs most user attention.
  • Get insights into user behaviour and preferences from test results.
  • Monitor real-time analytics and test progress on our dashboard.
  • Schedule tests with ease—winning version auto-applies to your storefront

Pros

  • Makes data-driven decisions to finalize store assets
  • Optimizes website elements to maximize user engagement and drive conversions
  • Allows creation of variants of Product Prices, Product Titles, Banners, and Announcement Bars
  • Helps identify the variant that generates the highest click-through rate
  • Intuitive interface for easy setup and management of A/B tests
  • Provides insights into user behaviour and preferences from test results
  • Real-time analytics and test progress monitoring on the dashboard
  • Automatic test end once the desired visitor count is reached

Cons

  • Reviews and user feedback may be required to validate app performance
  • Requires sufficient website traffic to yield meaningful A/B test results
  • May introduce complexity for users not familiar with A/B testing techniques
  • Limited to testing specific elements (Prices, Titles, Banners, Announcement Bars)

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