Overview

Data ingestion overview

Auxia's typical engagement removes all the heavy lifting that comes with the data integration. Your teams are only required to share your relevant tables and our internal deployment teams will do all the transformation required to ingest this data into Auxia's system.

Auxia uses all of your 1st party data to train machine-learning models that predict, rank, and surface the optimal next best action, content, surface, and offer for each customer.

To start this process, Auxia needs access to:

• User event data: This includes details like their interactions with different features or screens, browsing activity, and clicks on both your website and/or app.

• User attributes: This includes profile data on each individual user, such as their country, language, or registration date.

• Transaction data: This includes details like the transaction amount, item name, and price.

User event data

This section provides an overview of how Auxia works with user event data and how the event data needs to be structured to facilitate the data ingestion process into Auxia's platform.

User event data

User attributes

This section provides an overview of how Auxia works with user attributes and how these attributes needs to be structured to facilitate the data ingestion process into Auxia's platform.

User attributes