Skip to main content
This guide will walk you through the simple 5-step process to get set up with Auxia. As shown below, Auxia ingests your 1P data and returns 1:1 AI-driven decisions that personalize the end user experience.
🏦
Your 1P Data
BigQuery · Snowflake · S3
→
⚡
Auxia
1:1 AI Decision
per individual user
→
optimal treatment per user
📱 In-App Banner
🔔 Push Notification
📧 Email
💬 In-App Modal
🃏 In-Feed Card

​
Step 1: Ingest your data

Auxia uses your 1st party data to train machine-learning models that predict, rank, and surface the optimal next best action, content, surface, and/or incentive for each customer. To start this process, Auxia needs access to user event data, user attributes, and any transaction data. For an overview on the ingestion process, please click the link here. For an explanation on how Auxia works with data fields, please click the link here.

​
Step 2: Integrate Auxia into your product

Auxia works across your website, app, and lifecycle campaigns. To deploy growth experiments, you can either integrate directly with Auxia’s APIs or connect your existing messaging delivery provider to Auxia. For an overview on how to integrate Auxia into your product, please click the link here.

​
Step 3: Define your goals

Auxia works hand in hand with our customers to define the goals they want to achieve and the model framework to drive them. Here is an overview of how this process works.

​
Step 4: Create your first treatment

After you’ve added your data sources and goals in the platform, you can start creating content to better personalize your end user experience. Here is an overview of how to get started creating your first treatment.

​
Step 5: Measure success

Once you’ve deployed Auxia in your product, the platform immediately starts receiving data on your users’ interactions and the performance of your campaigns. To view performance data, visit the Analytics section.