Summary
This document is a guide that outlines the D&B Buyer Intent Data, which assists organizations in identifying in-market audiences displaying early-stage buying signals. It explains the significance of intent data in the B2B buying journey, particularly as it becomes more digital and self-serve. The guide details how the D&B Buyer Intent Data leverages Natural Language Processing and deep learning to map engagements to the Dun & Bradstreet Data Cloud. It presents features such as targeting specific buying locations, unmasking intent signals across corporate families, and scoring leads based on intent. Additionally, it discusses the creation of custom models tailored to unique keywords and objectives. The document emphasizes the importance of lead and account prioritization, account-based advertising, and sales strategies to enhance marketing effectiveness. The guide concludes with a brief overview of Dun & Bradstreet's history and its role in providing business decisioning data and analytics.
