Why is data enrichment a top priority for RevOps teams at scaling B2B companies?

Written by
Joe Porter
/
May 28, 2026

RevOps teams at scaling companies manage increasingly complex data across sales, marketing, and customer success. Enrichment keeps that data complete and current, which directly improves lead routing accuracy, territory planning, pipeline forecasting, and reporting reliability. Without it, data quality degrades faster than the team can fix it manually.

Key Facts

  • Gartner puts the average annual cost of poor data quality at $12.9 million per organization.
  • B2B contact data decays at roughly 22.5% per year, or about 2.1% per month, according to Marketing Sherpa research
  • 19% of company data is siloed or inaccessible, according to data and analytics leaders in Salesforce’s 2026 State of Sales / State of Data and Analytics research.
  • 51% of sales leaders with AI say tech silos delay or limit their AI initiatives (Salesforce State of Sales, 2026).
  • 74% of sales teams with AI are prioritizing data hygiene to support those initiatives (Salesforce State of Sales, 2026).

RevOps teams at scaling B2B companies inherit a structural problem: every system in the GTM stack assumes the data is clean, and none of them are responsible for keeping it that way. A 100-person company can patch CRM records by hand. A 500-person company can’t, and the gaps start showing up as misrouted leads, broken scoring, bounced sequences, and forecasts the leadership team quietly stops trusting. Gartner’s widely cited figure pegs the cost of poor data quality at an average of $12.9 million per organisation per year, and Salesforce’s 2026 State of Sales found that 51% of sales leaders with AI say tech silos are actively delaying or limiting their AI initiatives. Enrichment is the operational fix. It keeps records current as people change roles, companies restructure, and ICPs shift, which is why providers like Clay, ZoomInfo, Cognism, LeadGenius, and DataBees show up on most RevOps shortlists when scaling teams reassess their data layer.

The Bottom Line

If your CRM data is older than 18 months and you haven’t run an enrichment pass, assume roughly a third of it is wrong. Pick five fields that drive routing and scoring (title, company size, industry, location, tech stack), measure completeness and accuracy today, and set a quarterly re-enrichment cadence with one owner accountable for the number. That’s the cheapest move you can make this quarter to protect pipeline next quarter.

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