Clearbit's growth experiments highlight the challenges and lessons learned in optimizing sales flows to target ideal customer profiles (ICP) effectively. Initially, they attempted to streamline the process by diverting non-ICP leads to a self-serve path and directing ICP leads to a sales-assisted path, using Clearbit's data enrichment to filter visitors. However, this approach backfired, reducing qualified ICP demo requests by 20% as it created a disjointed user experience. Recognizing that high-value visitors often prefer exploring a product before engaging with sales, Clearbit revised their strategy to enhance user experience by personalizing calls-to-action and reintroducing options for free trials. They employed Clearbit Reveal to dynamically adjust the user journey based on visitor data, significantly decreasing non-ICP interactions with sales from 70% to 10%, and optimizing the process for high-value accounts. This experience underscored the importance of prioritizing ICP visitors, offering self-serve options, and minimizing friction in the user journey, all while leveraging data enrichment tools to tailor experiences effectively.