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Almeta ML: Predict Customer Behavior on Your Website

Jul 12, 2024 - news.bensbites.com
Almeta ML is a machine learning tool designed to increase revenue by identifying customers who are likely to convert, calculating their propensity to purchase or churn, and providing product recommendations. It offers insights into user behavior, enabling ML-driven scoring, targeting, and personalization. Users can run pre-built or custom models to evaluate the probability of a user completing specific actions, which can inform customer retention strategies. Almeta ML can be integrated with advertising networks like Google Ads, Facebook Ads, and Bing Ads, and can be used to personalize email campaigns, optimize offer selection, and improve customer retention.

The service is easy to set up, with options to install a web tag or use built-in integrations, choose ML models, and select destinations for results. Almeta ML can run calculations directly in the browser, providing real-time metrics for users. It also offers integrations with advertising platforms, email providers, eCommerce services, and CDPs. Almeta ML does not track any user information by default, and offers usage-based pricing with a free tier. It has been available for early access since June 2024.

Key takeaways:

  • Almeta ML is a machine learning tool that helps businesses increase revenue by identifying customers likely to convert, calculating propensity to purchase or churn, and providing actionable metrics for user behavior.
  • It allows businesses to connect with customers through various advertising networks, personalize email campaigns, optimize offer selection, and implement retention strategies.
  • Almeta ML can be integrated with existing data platforms, and it offers easy setup, real-time event processing, and support for custom models. It also ensures privacy by not tracking any user information by default.
  • Almeta ML offers usage-based pricing with a free tier, standard and enterprise plans. The cost depends on the number of events tracked and model calculations run.
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