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Almeta ML is an AI tool intended to predict customer behavior on your website, optimizing marketing spends by leveraging machine learning. It calculates metrics such as propensity to purchase or churn, product recommendations, and the best time to make contact.

Almeta ML enables businesses to run promotions and retargeting campaigns by utilizing user behavioural data. The tool features pre-built and custom models for probability evaluation of various customer actions on a website, ranging from completing a purchase to unsubscribing from a mailing list.

The AI tool goes further by providing personalized product and service recommendations based on customer browsing data. In the future, it will take into account prediction models for estimated revenue, margins, and customer lifetime value, coupled with machine-learning algorithms for forecasting return and refund possibilities.

Almeta ML also anticipates advanced features for optimizing communication send times, prioritizing leads based on conversion likelihood, and allow users to implement custom ML models.

Ultimately, Almeta ML uses machine learning to generate insights, scores, and metrics to maximize advertising returns. It can be integrated with Google Ads, Facebook Ads, Bing Ads, and other networks.

The AI tool also personalizes email campaigns, optimizes offer selection, provides dynamic personalization of user experiences, and identifies potential churn risks.

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Pros & Cons


  • Predicts customer behavior
    Optimizes marketing spends
    Calculates propensity to purchase
    Calculates propensity to churn
    provides product recommendations
    Determines best time to contact
    Run promotions
    Retargeting campaigns
    Custom metrics for customer actions
    Advanced features pipeline
    Estimates revenue, margins, LTV
    Forecasts return and refund possibilities
    Optimizes communication send times
    Prioritizes leads by conversion likelihood
    Metrices to maximize advertising returns
    Integrated with Google Ads, Facebook Ads, Bing Ads
    Personalizes email campaigns
    Optimizes offer selection
    Identifies potential churn risks
    First class infrastructure
    Robust integrations
    Real-time event processing
    Programmable triggers
    Personalized product and service recommendations
    Running models on the server and in the browser
    Real-time behavior predictions
    Customizable workflows
    Usage-based pricing
    Integrated with advertising platforms, email providers, eCommerce services
    Advanced permissions option
    SSO with SAML support
    Data privacy protection
    Product recommendations, personalized search, upsells and content
    Customer segmentation and targeting
    Lead scoring and prioritization
    Custom ML models implementation


  • No real-time event tracking
    Limited data export options
    Lack of SSO integration
    No simultaneous multi-model calculations
    Event-based pricing
    Limited browser-side calculations
    Server-side models only
    No self-hosted option
    Doesn't support all advertising platforms
    Not fully privacy-focused

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