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Konvera: A/B Testing logo

Konvera: A/B Testing

Develop by Konvera LLC

$29

/ Month
14 Days Free Trial

Konvera analyses your product page and suggests split tests

Revenue optimization
Ai-driven insights
Split test suggestions
Quick test execution

About Konvera: A/B Testing

Built by Konvera LLC

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Description

AI-powered split test suggestions—no guesswork needed! Launch new split tests in under 60 seconds.

Konvera takes the guesswork out of split testing by automatically analyzing your product pages and suggesting the changes most likely to boost your conversion rate. Simply select a product, and Konvera will instantly present you with split test options tailored to maximize your sales. You can launch a test with just a few clicks. After a few thousand visits, you’ll know whether the suggested changes are truly making an impact.

Konvera takes the guesswork out of split testing by automatically analyzing your product pages and suggesting the changes most likely to boost your conversion rate. Simply select a product, and Konvera will instantly present you with split test options tailored to maximize your sales. You can launch a test with just a few clicks. After a few thousand visits, you’ll know whether the suggested changes are truly making an impact. more
  • Split test new prices without duplicating products
  • Split test new product text descriptions using our ChatGPT integration
  • Split test new product images quickly
  • Let Konvera suggest additional split tests, e.g. adding video testimonials

Pros

  • Automates split test idea generation, reducing the mental load on users
  • Simple execution of tests, enhancing user experience and saving time
  • Aids in consistently increasing revenue per visitor by optimizing product pages
  • Integrates ChatGPT for generating new product text descriptions, leveraging AI for improved content
  • Allows for easy testing of new prices, product descriptions, and images
  • Provides suggestions for additional split tests, such as adding video testimonials

Cons

  • May lack customization options for businesses with specific needs or complex requirements
  • Relies on predefined suggestions, which may not always align with unique brand strategies
  • Effectiveness heavily depends on the accuracy and variety of the suggested tests
  • Limited feedback on performance analytics and optimization results beyond initial split tests

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