Companies are increasingly prioritizing "look-alike" discovery and leveraging web data to refine their Unique Selling Propositions (USPs) and enhance market positioning. By identifying competitors with similar sales propositions, businesses can strategically map their industry landscape, understand competitive differentiators, and innovate their offerings. Real-time web data plays a crucial role in informing decisions on product-market fit, with companies gathering insights from directories, competitor websites, search engines, and social media to optimize their marketing strategies. Competitive advertising and user engagement data allow businesses to reverse engineer successful USPs and address market gaps identified through consumer feedback and reviews. Additionally, analyzing industry pricing models can reveal opportunities to disrupt market norms, such as adopting a usage-based model in a predominantly flat-rate market. This data-driven approach empowers companies to pivot effectively, ensuring their products or services meet consumer needs and stand out in a competitive environment.