Auxia
  • Welcome!
  • Quick Start
    • Getting Started
      • Step 1: Ingesting your data
      • Step 2: Integrating Auxia into your product
      • Step 3: Defining your model objective
      • Step 4: Creating your first treatment
      • Step 5: Measuring success
        • Interactions
        • Engagement
  • Data Ingestion
    • Overview
      • User event data
      • User attributes
    • Data Connections
      • Google BigQuery
      • Amazon S3
      • Amplitude
        • Batch with Export API
        • Streaming with Google Pub/Sub
  • Deploying Auxia
    • Deploying with Auxia's API
      • Making your first call
      • Tracking interactions
      • Surfaces and types
      • Contextual attributes for real-time distribution
    • Delivery Integrations
      • Braze
  • API Reference
    • Get Treatments
    • Log Treatment Interactions
  • Treatment Management
Powered by GitBook
On this page
  • Overview
  • How it works
  1. Quick Start
  2. Getting Started

Step 5: Measuring success

How to measure success with Auxia

PreviousStep 4: Creating your first treatmentNextInteractions

Last updated 7 months ago

Overview

Auxia has several distinct reporting dashboards:

  • This dashboard showcases the quantity of treatments that were distributed as well as how your users are interacting with each treatment (e.g. views, clicks)

  • This dashboard highlights the consolidated impact of running Auxia as a whole across your target actions, key metrics, and guardrail metrics

How it works

To determine the causal impact of your growth initiatives through Auxia's platform, we use a global holdout group (e.g. control group) to assess the overall uplift of your users who have previously seen treatments against those who have not seen any treatments.

Interactions:
Engagement:
Page cover image