Introduction

Almeta ML is a machine learning service for predicting customer behavior on websites.

TIP

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Prediction Examples

You can use built-in models to predict customer behavior, for example:

• Likelihood to take an action: propensity to purchase, churn, finish a course, etc.
• Next best action: next best offer, next best product, etc.
• Recommendations: suggested products, upsell recommendations, offer selection, etc.
• Send time optimization (STO): best time to contact a customer.

Usage

The results of these predictions can be used for website personalization, advertising and marketing automation, for example:

• Advertising: create ML-based audiences on Google Ads, Facebook Ads, Bing Ads, TikTok Ads, and other networks.
• Email targeting: send personalized emails with dynamic content.
• Offer selection: show personalized offers on your website.
• Personalization: personalize user experiences based on real-time behavior predictions.