To efficiently drive revenue, it is essential to utilize a combination of company intelligence and buyer intent data to prioritize prospects based on their firmographic fit and purchasing likelihood. This process involves leveraging first-party, second-party, and third-party data sources, each offering unique advantages and limitations. First-party data, collected directly from user interactions, provides exclusive insights but can be limited and prone to errors. Third-party data, sourced externally, offers a broader view of the total addressable market and updates dynamically, but comes with associated costs and integration challenges. Second-party data is shared between trusted partners and combines elements of both first- and third-party data. By integrating these data types into a unified data foundation, companies can enhance lead targeting and personalization, ultimately improving marketing efficiency and conversion rates. This comprehensive approach ensures a well-rounded picture of leads and customers, facilitating informed decision-making and strategic marketing efforts.