Assetario Documentation
  • Overview
    • Assetario Overview
    • Predicted Life-Time Value (pLTV)
    • In-App Purchase Personalization (IAP Recommendation)
  • Integration
    • Assetario onboarding
    • Data Requirements
    • Data input integration guides
      • DeltaDNA integration
      • Amplitude AWS integration
      • Google BigQuery access share
      • AWS S3 Bucket access share
      • Scheduling Queries in BigQuery
    • PLTV: Setup
    • IAP Personalization: Setup
      • Dynamic offer personalization
        • Offers definition table
        • API reference
      • Contextual price personalization
        • Price levels definition
        • API reference
      • A/B tests
      • Third Party Integrations
        • RevenueCat
  • FAQ
    • IAP Personalization FAQ
  • Dashboards
    • PLTV Dashboard
    • IAP Personalization Dashboard
  • Best practices
    • PLTV: Google Adwords
      • Offline conversions
    • PLTV: Facebook
      • Offline conversions
      • Value-Based Lookalikes
  • Data Security
  • Dictionary
Powered by GitBook
On this page
  1. Integration
  2. IAP Personalization: Setup

A/B tests

PreviousAPI referenceNextThird Party Integrations

Last updated 1 year ago

Assetario serves its customers with A/B tests for all IAP Recommendation. It is needed to be sure that we provide uplift and measure it correctly.

Usually, we split into two random groups:

  • Control

  • Personalized

The customer must agree on the A/B test ratio during onboarding.

Assetario recommended setup is 30/70 for the pilot where testing and optimization are done after the pilot period A/B split should be increased to 80/20.

In case customers want to perform an A/B test themselves, Assetario would appreciate knowing which users are part of the control group and which users are being personalized by Assetario. This serves multiple purposes, namely:

  • Helps ensure all users who are supposed to be in the Assetario group of the A/B test have actually received personalized treatment and hence rightfully qualify to be evaluated as part of the test.

  • Allows Assetario to generate performance dashboards and automatically calculate the uplift generated due to Assetario’s personalization engine. This is not possible without knowing which players to compare.

Please, refer to the to see which identifiers Assetario requires.

Data Definition Table