Sales Data & Revenue Intelligence
Identify and Prioritize the Right Opportunities to Close More Deals
Surface and prioritize the opportunities that matter most, then engage buyers with the right context at the right time.
Five Ways Sales Teams Turn D&B Intelligence into Pipeline
Identify Actionable Buying Signals
Prioritize What Matters
Engage at the Right Time
Strengthen Every Conversation
Reach the Right Stakeholders
Ways to Consume D&B Data
Three Ways to Anchor Your Sales Workflows in D&B Data
The same verified D&B Commercial Graph™ delivered in three ways. Choose based on where you are on your AI journey and what's in your existing stack.
Products with Embedded AI
Use sales intelligence products with D&B.AI-powered guidance, prospecting insights, and workflow automation built directly into the seller experience.
Best fit: Teams that want to identify actionable buying signals, prioritize the best opportunities, reduce research time, and engage buyers with greater relevance and confidence.
D&B Hoovers — trusted company and contact data, buying signals, website engagement, trigger events, and contextual intelligence delivered across sales workflows to help teams:
‑Improve prospecting
‑Accelerate account research
‑Prioritize outreach
‑Engage buyers at the right time.
AI Connectors
Stream verified context directly into your own agents through our MCP server, pre-built MCP connectors, agent-to-agent workflows, and more.
Best fit: teams already building or running custom agents who need a governed context source inside their own AI platform.
✓ D&B MCP Server — verified context for any LLM
✓ MCP connectors — out-of-the-box integrations to agentic platforms in our expansive partner network
✓ Agentic workflows — prebuilt workflows and data samples for supported agentic systems
D&B Direct+ APIs & Data Feeds
Access the extensive D&B Commercial Graph delivered through our REST APIs, batch files, or data-warehouse feeds — so your engineers can integrate it into existing systems, ETL pipelines, and in-house applications on your own terms.
Best fit: teams with established data infrastructure who want full control over how Dun & Bradstreet insights flow through a traditional tech stack.
✓ D&B Direct+ APIs — near real-time entity, risk & hierarchy
✓ Batch & flat-file delivery — scheduled and one-time enrichment at scale
✓ Data-warehouse feeds — delivery into cloud warehouses including Snowflake, Databricks, and BigQuery
Not Sure Which Delivery Option Fits Your Needs?
Our team of solutions architects and data strategists can help you map the right mix of options based on where you are in your AI journey, the tools in your existing stack, and your unique business roadmap.
IMPACT STUDY
How Dun & Bradstreet Data Drives Sales
To close high-margin deals, sales teams need accurate customer insights. Forrester’s Total Economic Impact™ (TEI) study shows how Dun & Bradstreet’s data management solutions enabled $5.9M in incremental profit from new sales, contributing to a 2% revenue uplift and improved deal profitability. Download the full study to explore what else was revealed.
Thought Leadership
Expert Insights from Our Leaders to You
Access the latest insights and best practices from Dun & Bradstreet's leaders and data experts on ways to close more sales and drive revenue for your business.
Frequently Asked Questions
Common Questions About Dun & Bradstreet’s Sales Solutions
Sales intelligence brings together company, contact, and intent data to help teams identify the right buyers, prioritize high-value accounts, and engage at the right time. It provides the context needed to move beyond static lists and make more informed decisions across the pipeline.
Sales intelligence helps teams focus on the accounts most likely to convert by combining data, buyer signals, and analytics. This leads to more precise targeting, better timing, and more relevant engagement, improving both pipeline quality and conversion rates.
Sales teams rely on a combination of company data, contact data, and intent signals to identify and prioritize accounts. When connected and enriched, this data provides a clearer view of buyer behavior and helps teams determine where to focus and when to engage.
Predictive models help sales teams anticipate customer behavior, identify accounts most likely to convert, and uncover opportunities for growth. By applying analytics to historical and real-time data, teams can prioritize more effectively and guide decisions across the pipeline.
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