gopersonal Platform
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  • Introduction
    • Platform Overview
    • How it works
    • Use Cases
      • Ecommerce
        • Personalizations
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          • Notifications
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      • Q2 2024
      • Q1 2024
      • Q4 2023
  • ADMIN UI
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    • Top bar
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        • Visit Behavior Rules
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        • Predictive Rules
        • Customer Properties Rules
        • Cluster RFM Rules
        • Product Interactions Rules
        • Custom Interactions Rules
        • Live Shopping Rules
        • Location Rules
    • Personalizations
      • Listing
      • Web Content personalization
      • Recommendations personalization
      • Feedback personalization
      • Pop up personalization
      • Notifications personalization
      • Custom Code personalization
      • API personalization
      • Experiences
        • Targeting Rules
          • Session Behavior Rules
          • Time Rules
          • Demographic Rules
        • A/B Testing
        • New Variant from scratch
        • New variant using my templates
        • New variant using Go Personal's template
        • Variables
      • Recommendations strategies
    • Broadcasts
      • Listing
      • New Broadcast
        • New Email Variant
        • New SMS Variant
        • New Push Notification Variant
      • A/B tests
      • Text Generator
    • Journeys
      • Listing
      • Workflow
        • Trigger
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        • Notifications
          • Email
          • SMS
          • App Push Notification
        • Flow control
          • Rules
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          • Complex condition
          • A/B testing paths
        • Delays
          • Delay time
          • Wait for customer property change
          • Wait for interaction
        • Actions
          • Invoke API
          • Script
    • Customers
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      • Go Live Shopping
        • App
      • Go Search
    • Items
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    • Catalogs
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      • Templates
    • Integrations
  • Developers
    • Magento
    • WooCommerce
    • VTEX
    • SDK Integration Guide for E-Commerce Websites
    • Channels setup
      • Web Push Notifications
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A/B Testing

PreviousDemographic RulesNextNew Variant from scratch

Last updated 1 year ago

At its core, A/B testing is a method where two or more of content are compared to discern which one yields superior conversions.

When sufficient data has been collected, the button emerges for the experience, inviting you to explore the current state of the test. Upon pressing this button, a detailed overview materializes, providing a snapshot of the test's progress, impressions, conversions, conversion rates and the likelihood of each variant being the ultimate winner.

Once the test concludes, a triumphant variant emerges, adorned with its final, definitive values.

After the test concludes, you can continue to view the current data and also modify the content of the variant as needed.

variants