Gravity Field
English
English
  • Implementation
    • Gravity Field Implementation Types
    • Client-Side Implementation
      • 1. Gravity Field Script
        • Gravity Field Scripts Workflow
      • 2. Page Context
      • 3. Events
      • 4. Feed - General Requirements and Additional Parameters
        • Fashion
        • Electronics
        • Telecom
        • Banking and Fintech
        • eGroceries
        • Pets Supplies
        • DIY
      • 5. Cookies cloning with front-end implementation
      • Implementation on SPA-enabled sites
      • Multilingual / Multilocal Implementation
    • Server-Side API
    • Server-Side Hybrid API
    • Implementation Workflow
    • Passing User Data to Gravity Field
    • Client-side APIs
    • Obtaining "slid" from the browser console
    • Full Data Loader — Offline / Historical Purchases Onboarding
    • Full Data Loader — User Data Onboarding
    • Full Data Loader — Audience Export
  • GENERAL INFORMATION
    • Affinity Profile and How It Works
    • How to use regular expressions (RegEx)
    • Traffic Sources Identification
    • Targeting conditions definition and their applicability
    • Comparison of Targeting Conditions in Audiences, Front-end, and API Campaigns
    • Evaluators
    • Social Proof
    • What are Data Attributes
    • Technological Stack of Gravity Field
  • Platform Interface
    • Audience List View
    • Audience Creation Screen
    • Audience Targeting Conditions
    • Campaigns structure
    • Campaigns List Screen
    • Frontend campaigns creation
    • API Campaigns List Screen
    • API campaigns creation
    • Working with Templates
    • Working with Variables in Variations
    • API logs
    • Evaluators List View
    • Evaluator Creation Flow
    • Strategy List Screen
    • Recommendation Strategies Creation
    • Recommendation Strategies
    • User Management for GF Admins
    • Campaign Activity-logs
    • Dynamic Allocation
  • Running and QAing Campaigns
    • Disabling GF script
    • Campaign naming
  • Analytics
    • Personalization Campaigns Report
    • Outliers
    • Statistical Significance
    • A/B testing Approaches and Framework
    • A/A testing
    • Purchase data export
    • Campaings and Users Raw data Export
    • Approach to PoC Analysis
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Statistical Significance

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Last updated 1 year ago

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For any campaign with more than one variation, we calculate the Probability to Be Best, which is an equivalent to statistical significance in Bayesian statistical theory. Within this approach, the system takes into account all user interactions with the campaign and adjusts the statistical forecast based on each of these interactions in real time. You can find more details about this approach by the following links:

  1. Statistical Significance Calculator (Bayesian) by Dynamic Yield:

  2. Article on Bayesian statistics on Wikipedia:

  3. Detailed research on the Bayesian approach to A/B testing by VWO:

https://marketing.dynamicyield.com/bayesian-calculator/
https://en.wikipedia.org/wiki/Bayesian_statistics
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Bayesian AB testing at VWO.pdf
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