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Getting Started ​

Almeta ML requires a few steps to get started:

  1. Setting up an account.
  2. Adding a data source.
  3. Choosing models to run.
  4. Setting up destinations for your data.

1. Create an Account ​

Sign up for a free account.

When you create your account, we will ask you to set up your first project. A project is a collection of data sources, models, and destinations. Follow the instructions to finish setting up your account.

2. Add a Data Source ​

A data source is a way to collect customer data. You can choose to use a web tag or import data using built-in integrations.

TIP

Learn more about Web Tag Installation.

You can see the incoming events on the Events screen:

Almeta ML Event

We recommend to track as many relevant events as possible, as this will help achieve more accurate predictions. Learn more about Events.

3. Select Models ​

Models are machine learning algorithms that predict customer behavior. You can choose to use built-in models or create your own.

Choose the models that you want to run at the Models screen.

Almeta ML Model

4. Choose Destinations ​

Destinations are places where the results of ML model calculations are sent. For example, you can send predictions to Facebook Ads, Google Ads, or Shopify.

When you create a model, you can choose where the calculation results will be sent. You can send the results to multiple destinations, including your website (via the web tag), webhooks, or external services.