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