Gravity Field
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  • 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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  • Creating an Experience with Dynamic Allocation

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  1. Platform Interface

Dynamic Allocation

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Last updated 1 year ago

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Dynamic Allocation

Created: 07.12.2023 Updated: 07.12.2023 Author: Polina A.

Dynamic allocation is one of the methods of traffic distribution in which the system automatically determines the percentage of users to whom a particular variation will be shown. A larger percentage of users are shown the variation that demonstrates the best results in terms of the key metric assigned in the experience. Unlike A/B testing, dynamic allocation aims to achieve maximum effect in the shortest time with a strong emphasis on optimization and speed.

Creating an Experience with Dynamic Allocation

To create an experience with dynamic allocation, you need to go to the campaign creation/editing page and select dynamic allocation as the allocation method. After that, you will see that the percentage value of traffic distribution changes to "auto."

When creating a new campaign with dynamic allocation or changing the allocation method to dynamic in an already launched campaign, the weight between variations is evenly distributed. 100% is divided equally among all created variations.

Dynamic allocation must have at least 2 variations.

Learn more about campaign creation: Frontend campaigns creation

Limitations

Dynamic allocation can only return one variation, i.e., if there are 5 banner variations in the campaign, only one will be shown, not all 5 sorted by the key metric.

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