Many companies complicate lead scoring by combining two distinct metrics into one: revenue potential and likelihood to close. The author argues these should remain separate to enhance clarity and effectiveness. Revenue potential should determine tiering, which categorizes prospects based on their purchasing capacity. For example, in a seat-based pricing model, a larger team indicates a higher revenue potential, placing them in Tier A. Conversely, prospects that are either too small or too large should be disqualified early to streamline the sales funnel. On the other hand, likelihood to close should dictate scoring. This involves assessing two factors: fit (firmographic data) and intent (engagement signals). The author shares a recent case study where a client’s analysis revealed that most of the ten factors they tracked had no real impact on closing deals. After refining their approach, they focused on just four to five key indicators that significantly influenced outcomes. This simplification helps reduce noise, which often leads to distrust among sales teams regarding lead scores. The discussion also touches on the importance of a clear distinction between revenue potential and conversion likelihood. A prospect in Tier A might have a lower score than one in Tier B or C, but the tiering based on revenue potential takes priority in decision-making. Comments from readers emphasize the value of fewer, more meaningful indicators over a complex array of metrics. There's also a mention of "acquisition efficiency," suggesting that while tiering for revenue potential is effective, the time required to actually secure that revenue should also be considered in the overall strategy.