Clearbit, in addressing a significant increase in lead volume without a proportional growth in its sales team, leverages its own data to streamline lead prioritization and improve sales efficiency. By creating an ideal customer profile (ICP) based on successful past clients and developing an automated lead scoring model in Salesforce, Clearbit can prioritize leads that closely match its ICP. The lead scoring model evaluates potential leads based on firmographic data, individual roles, and responses to signup surveys, ultimately categorizing them into A, B, or F classes for targeted sales efforts. This process not only aids in identifying high-potential leads but also helps Clearbit's sales team focus on valuable opportunities. As part of its evolving strategy, Clearbit considers incorporating behavioral data and website engagement metrics to further enhance lead qualification and align with its dynamic business focus.