Almeta ML

Almeta ML predicts customer behavior on your website in real time using machine learning. It helps businesses identify users likely to convert, churn, or take specific actions, and then act on these insights through personalized campaigns, ad targeting, and content personalization. The platform is designed to maximize ROAS, increase revenue, and minimize churn by providing actionable ML-driven metrics.

Key Features

• Pre-built ML models: Predict likelihood to purchase, churn, view content, or custom actions; offer product recommendations; forecast revenue, margin, and LTV; optimize send times; and score leads.
• Custom models (coming soon): Run your own models on Almeta ML's infrastructure with real-time processing and integrations.
• Action integrations: Send predictions to Google Ads, Facebook Ads, Bing Ads, TikTok Ads, email providers, or any custom destination. Create ML-based audiences, personalize offers, and trigger website actions.
• Flexible deployment: Models run on the server or in the browser. The lightweight web tag (3 KB) enables real-time metrics like "probability to close the page in the next 10 seconds."

How It Works

1. Install the web tag or use built-in integrations to start tracking events.
2. Select pre-built or custom ML models.
3. Choose destinations where predictions will be sent, such as ad platforms or email services.

The system continuously learns from user behavior and provides predictions in real time. It can also import data via API, integrations, or webhooks.

Who It’s For

• Marketers aiming to optimize ad spend and email campaigns.
• E-commerce businesses looking to boost conversions with personalized recommendations.
• SaaS companies wanting to reduce churn.
• Lead generation teams needing to prioritize high-intent prospects.

The platform emphasizes privacy: no personally identifiable information is collected by default, and it operates without cookies unless configured otherwise. It offers usage-based pricing with a 14-day free trial.