Data enrichment is a process that enhances existing data sets with first-party and third-party data from various sources, making the data more actionable and valuable, particularly for B2B companies. It addresses the common issue of incomplete or inaccurate consumer data collected through forms, improving data quality by filling in gaps and providing more context for customer-facing teams. This enriched data aids marketing, sales, and customer success teams in better audience segmentation, streamlining the sales process, and fostering stronger customer relationships. Data enrichment also benefits revenue operations, website conversions, and customer acquisition by optimizing lead scoring, form conversion rates, and personalization efforts. Tools like Clearbit automate data enrichment by integrating with CRMs, providing real-time enrichment with attributes such as location, company size, and social media accounts. Consequently, data enrichment helps businesses create more precise audience segments and activate ideal customer profiles, leading to improved targeting and messaging. While data enrichment does not remove data like data cleansing, it works best when automated and continuous, ensuring the highest quality and most up-to-date data for effective data management.