Data enrichment

Data Enrichment

The process of enhancing raw data with additional context and attributes from external sources to improve its accuracy and usefulness.

Tomba Team
March 23, 2026

Data enrichment is the broad practice of supplementing your existing datasets with additional information from third-party sources. In a B2B sales context, this means taking the basic prospect information you have, such as a name or company, and layering on firmographic, demographic, and technographic details that make your data more complete and actionable.

Raw prospect data is rarely sufficient for effective outreach. A list of company names without employee counts, industries, or contact details provides little guidance on where to focus your efforts. Data enrichment fills these gaps, turning incomplete records into rich profiles that support targeted segmentation, lead scoring, and personalized messaging.

The value of enriched data compounds over time. Accurate, detailed records improve CRM hygiene, make reporting more reliable, and enable better decision-making across your sales organization. Teams that invest in data enrichment consistently outperform those that rely on sparse, outdated information because every downstream activity, from outreach to forecasting, benefits from better data.

Key Points

  • Enhances raw data with additional attributes from external sources
  • Transforms incomplete prospect records into actionable sales intelligence
  • Improves CRM accuracy, lead scoring, and outreach personalization

How It Works

The platform cross-references this data against its databases and returns enriched records with additional fields such as job title, company size, industry, location, and social profiles. These enriched records are then integrated into your CRM or sales tools.

Best Practices

  • Enrich data at the point of capture to prevent incomplete records from entering your CRM
  • Schedule regular enrichment passes to keep existing records current

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