Two-dimensional (2D) lead scoring is a method used by companies like Clearbit to evaluate potential customers based on two primary metrics: fit and intent. Fit assesses how well a lead aligns with the desired customer profile using firmographic data such as industry and company size, while intent measures the lead's interest and likelihood to buy through behavioral data, like website visits or demo requests. This approach allows companies to efficiently allocate sales resources by prioritizing leads that are both a good fit and show high intent, thus preserving sales efforts for those most likely to convert. Clearbit, for instance, adjusts the thresholds for fit and intent based on sales team capacity and strategic goals, ensuring that sales teams engage with leads at the right moment, whether through direct outreach or nurture campaigns. By keeping fit and intent scores separate, organizations can avoid focusing on high-intent but poor-fit leads, ensuring that sales teams concentrate on developing relationships with leads that have the highest potential for conversion.