When selling to what you believe is a single ICP, but some buyers have intense 5/5 "Pull" and others have a mild 2/5, your ICP definition is flawed. The difference in their behavior is the key signal. You must diagnose the non-obvious differences between these groups to define your true, high-intensity ICP.

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.

While many claim "SEO is dead," the founder of the AI-native tool UX Pilot attributes a significant portion of their growth to their first million in ARR to SEO. Targeting high-intent keywords around UX, design, and AI generation proved to be a powerful and consistent acquisition channel.

Stop defining your Ideal Customer Profile with abstract firmographics. Instead, feed context from your best closed-won deals into an AI and ask it to find public data that signaled their specific pain *before* they engaged you. This reverse-engineers a truly effective, data-driven targeting model.

Despite the rise of AI, Google still handles over 94% of searches. However, marketers must focus on LLM visibility, as customers sourced from AI search engines convert at a 4.4 times higher rate. This makes it a critical, complementary channel, not a replacement for traditional SEO.

Don't just target the same job titles as your best customers. Dig deeper into the buyer's professional history (e.g., a COO with a 20-year sales background). This backstory is often the true indicator of an ideal fit, allowing for more precise and effective targeting.

Defining an ICP based on who you *want* to sell to is flawed. A "Pull"-based ICP is defined reactively: it's the specific group of people currently experiencing such an urgent, blocked project that it would be illogical for them *not* to buy your solution right now.

After narrowing their ICP to CEOs, Rocksalt.ai's "pull" discovery process revealed this group wasn't uniform. They uncovered four distinct CEO pain points: consistency, pipeline visibility, network engagement, and lack of time. This segmentation allowed them to tailor messaging and product features to solve specific, urgent problems instead of a generic one.

Traditional Ideal Customer Profiles (ICPs) based on static attributes like job title or company size are flawed. A superior ICP is defined by "pull"—the dynamic state of being actively stuck trying to do something but blocked by current options. All downstream tactics, from product to sales, flow from this definition.