Machine Learning (ML)(ML)
Quick definition
Machine learning is a branch of AI where systems automatically learn from data and improve their performance without being explicitly programmed.
Detailed explanation
Machine learning is the technology that makes AI 'smart'. Instead of manually programming rules, an ML model independently learns patterns from historical data. In sales, ML applications are enormous: lead scoring, churn prediction, deal-win-probability, optimal send time, and pricing optimization are all ML-powered. Match-AI uses ML at multiple levels. Our lead scoring model learns from every campaign which prospects are most likely to convert. Our timing model learns when each individual prospect is most responsive.
Synonyms
Examples
A telecom company uses ML for churn prediction: the model analyzes 200 behavioral signals per customer and identifies 3 months in advance which customers are at risk of leaving. Result: 23% less churn.
Match-AI's ML model for send-time optimization: after 10,000 sent emails, the model knows that prospects in the logistics sector respond best on Tuesday and Wednesday mornings between 07:30 and 09:00. Open rate rises from 28% to 41%.
When to use this?
Machine learning is the engine behind all predictive AI applications in sales and marketing: from lead scoring to churn prediction and next-best-action recommendations.
Match-day approach
Match-AI integrates ML models into its sales platform that continuously learn from campaign data. Every new result makes Mario smarter. After 3 months, performance is typically 40-60% better than at launch.
Related terms
Large Language Model (LLM)(LLM)
A Large Language Model (LLM) is a neural network trained on enormous amounts of text that understands, generates, and reasons with human language at a human level.
Predictive Analytics
AI-driven analyses that predict which leads, deals, or actions have the highest chance of success.
Fine-Tuning
Fine-tuning is the process of further training a pre-trained AI model on a specific dataset to improve performance for a particular task or domain.
Learn more
Wil je weten hoe je machine learning (ml) effectief inzet in jouw organisatie? Neem contact op met Match-day.
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