Predictive lead and account scoring section-overview

Predictive lead and account scoring in Adobe Real-Time CDP B2B uses machine learning to help you focus on the leads and accounts most likely to convert, saving time and boosting your marketing success. By analyzing historical data, this feature predicts the likelihood of specific actions, such as a lead conversion or account progression. You’ll learn how to set up and interpret these scores, uncover the key factors driving predictions, and monitor the scoring process. Whether you’re prioritizing leads or optimizing campaigns, this guide will help you unlock smarter, data-driven decision-making for your B2B strategy.

Predictive Lead and Account Scoring Resources

Predictive Lead and Account Scoring Overview

Learn how predictive lead and account scoring helps B2B marketers prioritize high-value targets using machine learning to predict conversion likelihoods.

Explore the overview

Manage Predictive Lead and Account Scoring

Step-by-step guide to creating, editing, cloning, and deleting predictive scores, along with troubleshooting error codes.

Start managing scores

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