When a prospect is uncooperative, a counterintuitive tactic is to offer to end the call. This breaks the typical power dynamic where salespeople are seen as subservient. The prospect's sudden awareness of their unhelpfulness can shift their demeanor and make the call productive.
Many sales calls follow a rigid framework of questions without a clear goal. This leads to confusing customer responses ("demand hairball") and a premature, ineffective product demo. The focus is on pushing supply instead of truly understanding the customer's blocked demand.
Even roles far from the customer, like engineering, make countless micro-decisions. Without an intuitive understanding of customer pull—what they're trying to achieve and why they're blocked—these decisions will likely miss the mark, even when just following a requirements document.
Pull isn't just a problem; it's a state of active struggle. Think of it as physics: the customer is applying force toward a project, but their existing options are applying a counter-force. Your product's role is to unblock this potential energy, which is often invisible until a viable new solution is presented.
The discovery phase of a sales call isn't a generic interrogation or a prelude to a demo. Its only goal is to understand the customer's PULL: their specific Project, its Urgency, the other Options they've considered, and the Limitations of those options. Only then can you effectively position your product.
Most problems customers describe are "pain points" they won't act on. You can't distinguish these from real, actionable demand ("pull") through interviews alone. The only true test is presenting a viable solution and attempting to sell it. Their reaction—whether they try to pull it from you—is the only reliable signal.
A traditional ICP mixes high- and low-intent buyers, yielding mediocre 20-30% close rates. An ICP based on "pull" focuses exclusively on the specific situations that create urgent, blocked demand. This forces hyper-specificity and builds a more efficient GTM motion by targeting a cohort with a near-100% close rate.