Almeta ML

# Almeta ML > A machine learning service for predicting customer behavior on websites in real-time. Provides built-in ML models for likelihood to purchase, churn prediction, product recommendations, send time optimization, lead scoring. Almeta ML enables businesses to run predictive analytics directly on their websites using event tracking similar to Google Analytics or Facebook Pixel. The platform processes customer action data to predict future behavior through machine learning models, with results delivered in real time to the website, advertising networks, email platforms, CRMs, and personalization engines. ## Features - [Almeta ML](https://almeta.cloud): Product overview, pricing, testimonials, and signup - [Likelihood of an Event](https://docs.almeta.cloud/ml-models/propensity): Calculate likelihood of an event based on historical data and user behavior - [Personalized Product Recommendations](https://docs.almeta.cloud/ml-models/product-recommendations): Generate personalized product recommendations based on user behavior and preferences ## Getting Started - [Introduction](https://docs.almeta.cloud/): Overview of Almeta ML service and prediction examples - [Core Concepts](https://docs.almeta.cloud/concepts): Understanding Events, Models, Destinations, and Catalog data fundamentals - [Getting Started Guide](https://docs.almeta.cloud/getting-started): Step-by-step setup process including account creation, data sources, model selection, and destinations ## Implementation - [Web Tag Installation](https://docs.almeta.cloud/web-tag): JavaScript snippet installation guide with Google Tag Manager integration and consent management - [Web Tags and Models](https://docs.almeta.cloud/web-tag-model-calculations): Running an ML model calculation directly from a web tag - [Events Documentation](https://docs.almeta.cloud/events): Comprehensive event tracking reference with standard and custom event examples ## API - Base URL: `https://api.almeta.cloud/ml/` - [API Authentication](https://docs.almeta.cloud/api/): Bearer token authentication setup and usage - [Events API](https://docs.almeta.cloud/api/events): API usage for programmatic event insertion - [ML Model Calculations API](https://docs.almeta.cloud/api/ml-model-calculations): API usage for programmatic ML model calculation execution - [Web Tags API](https://docs.almeta.cloud/api/web-tags): API usage for programmatic web tag creation and management ## Marketing Integration - [Audiences](https://docs.almeta.cloud/audiences): Creating ML-based audiences for Google Ads, Meta Ads, and other advertising networks ## Optional - [Expert Installation](https://almeta.cloud): Professional setup service, including web tag installation, event tracking configuration, and model implementation