Overview
Data ingestion is a crucial part of Auxia's platform. Typically, Auxia takes care of the heavy lifting involved in data integration. Your teams only need to share the relevant tables, and our internal deployment teams will handle the necessary transformations to ingest the data into Auxia's system.
Auxia utilizes your 1st-party data to train machine-learning models that predict, rank, and surface the optimal next-best actions, content, surfaces, and offers for each customer.
Data Requirements:
To begin this process, Auxia needs access to the following data:
- User event data: This includes interaction details, such as clicks, screen views, and browsing activity across your website and/or app.
- User attributes: Profile data on individual users, such as their country, language, and registration date.
- Transaction data: This includes transaction-related information, like the transaction amount, item name, and price.
User Event Data
This section explains how Auxia works with user event data and outlines how the event data should be structured for smooth ingestion into Auxia's platform.
User Attributes
This section explains how Auxia processes user attributes and provides guidelines on how these attributes need to be structured for the ingestion process into Auxia's platform.