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.
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An Ideal Client Profile (ICP) is insufficient. Adopt a Perfectly Profitable Prospect Profile (P3P) to filter for alignment on core values, culture (e.g., agile vs. structured), and delivery fit (are they ready for your solution?). This proactively avoids friction and ensures engagement with high-value, low-headache clients.
Company-level Ideal Customer Profiles (ICPs) are standard, but top reps should define their own personal ICP. This helps them filter prospects and avoid closing deals that, despite high commissions, will inevitably lead to churn, support issues, and reputational damage down the line.
To make a hire "weird if they didn't work," don't hire for potential or vibe. Instead, find candidates who have already succeeded in a nearly identical role—selling a similar product to a similar audience at a similar company stage. This drastically reduces performance variables.
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.
A key litmus test for genuine ABM is moving beyond abstract personas to identifying and targeting specific, named individuals within an account. This focus on real people, not roles, is what drives deep personalization and relationship-building.
Executive teams often create an ICP based on a 'wishlist' of big logos. The most accurate ICP is actually found by analyzing your first-party CRM data. Examining patterns across both close-won and close-lost deals reveals surprising truths about which customer segments are actually the best fit for your solution.
Ditch the aspirational "Ideal Client Profile," which represents a rare, perfect-world scenario. Instead, build a "Target Client Profile" that defines which customers will perceive the most meaningful value from your offering. This provides a realistic, operational benchmark for qualifying leads.
Instead of theorizing about their Ideal Customer Profile, Assembled's first GTM hire created a list of all existing customers. By looking for patterns and creating groups based on traits like tech stack (Zendesk), agent count (20-200), and channel complexity, a data-driven, highly specific ICP emerged organically.
Instead of a generic persona, define your target customer with a 'pull hypothesis': who would be *weird not to buy*? This structured framework forces you to articulate the specific project they're trying to accomplish, why their current options are bad, and why your solution becomes irresistible. It focuses on their demand, not your product's features.
When you're not a subject matter expert in the audience you're selling to (e.g., marketers selling to developers), the most effective strategy is to rely heavily on your customers. Use qualitative interviews to deeply understand their world, which provides the authentic language and positioning needed for your messaging and campaigns.
