B2B Revenue Intelligence Report
Poor data quality is limiting revenue growth, weakening ABM execution, and reducing confidence in strategic sales decisions.
By Dun & Bradstreet | Annual Research Report | Source: Dun & Bradstreet

B2B organizations increasingly depend on data to drive targeting, customer engagement, and revenue operations.

Yet only half of surveyed firms trust their data, creating barriers to growth initiatives and sales-marketing alignment.

Data quality has become the single most important factor influencing revenue performance, customer targeting, and ABM success.

Organizations with accurate, integrated data gain stronger visibility into buyers, improve campaign performance, and accelerate decision-making.

⚠ Within the next 12 months, outdated records, CRM silos, and low data confidence can result in missed revenue opportunities, poor segmentation, and ineffective account-based programs.

For revenue leaders, unreliable data impacts forecasting accuracy, customer acquisition efficiency, and enterprise growth strategies.

  • Improve CRM data completeness and accuracy
  • Align sales and marketing intelligence
  • Implement continuous data governance
  • Leverage analytics for market prioritization
  • Enable trusted revenue operations workflows

High-quality data creates a scalable foundation for ABM, personalization, analytics, and long-term business performance.

Enterprise Data Quality & Revenue Performance Assessment
Understand how data quality impacts revenue growth, targeting precision, and sales effectiveness across your organization.

✔ Data confidence benchmark
✔ CRM integration insights
✔ Revenue risk analysis
✔ Strategic improvement roadmap
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