Lead Scoring with Bytek Prediction Platform

This manual provides a comprehensive and technical guide to the evolution of lead scoring, from rule-based approaches to advanced predictive models powered by machine learning. It explains how to move beyond static scoring systems and adopt a data-driven methodology capable of estimating users’ future behavior and real conversion probability.

At the core of the guide is the Action Prediction model within the Bytek Prediction Platform, which enables the transformation of first-party data into actionable propensity scores, directly integrated into marketing, sales, and customer experience workflows.

Inside the manual you will find:

• A clear explanation of traditional lead scoring limits and the shift to predictive models
• A deep dive into how Action Prediction works, from data preparation to model training and evaluation
• A detailed overview of the platform architecture, including its warehouse-native approach
• Practical guidance on activation across channels, from audience building to value-based bidding and real-time personalization
• Best practices to ensure model reliability, data quality, and alignment with business objectives

From model configuration to activation, the manual shows how to build a complete decision pipeline where predictive signals are not just analytical outputs, but concrete drivers of performance.