Switching from an established competitor is difficult due to high friction like data migration. New market entrants should exclusively target "greenfield" customers who have not yet adopted any solution, as they represent the path of least resistance for gaining initial traction and market validation.

Leaders often misapply successful playbooks from past roles. Instead of force-fitting, they should deconstruct the sales motion from first principles: who is the user, what's already working, and how do they *really* buy in this specific context? This ensures the playbook fits the new company's unique dynamics, especially in a PLG environment.

The most common GTM mistake is hiring execution-oriented leaders who force a pre-existing playbook onto a new company. Each company's customer journey is unique and requires a first-principles approach to design a GTM motion, rather than cutting and pasting a strategy that worked elsewhere.

Instead of trying to steal entrenched 'hostage' customers from incumbents, startups should focus on a 'Greenfield' strategy. By building a superior product, they can capture the wave of new companies that are not yet locked into a legacy system and will choose the best available solution.

In a new market, the primary challenge is displacing existing, non-software processes. For TeamBuilder, this was highly refined Excel systems passed down from mentor coaches. They weren't just selling a feature-set; they were asking customers to abandon years of institutional knowledge and proven workflows for something novel.

Experienced sales leaders are failing when they impose established software sales playbooks onto AI-native companies. The rapid market shifts, dynamic customer profiles, and novel technology require extreme adaptability and a willingness to abandon what worked in the past.

Customers frequently complain about their current tools (e.g., "We're struggling with Salesforce"). Founders mistakenly interpret this as a request for a direct alternative. This is a trap. The real demand is the underlying job they're trying to do, which the tool is failing to support.

AI-native companies find more success selling to new businesses or those hitting an inflection point (e.g., outgrowing QuickBooks). Trying to convince established companies to switch from deeply embedded systems like NetSuite is a much harder 'brownfield' battle with a higher cost of acquisition.

Tekmetric finds that many auto shops use legacy systems that work "well enough." The marketing challenge is less about feature comparison and more about change management—convincing owners to abandon a 30-year-old workflow for a superior but unfamiliar system.