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Instead of targeting a narrow industry vertical (e.g., pro sports), TeamBuilder focused on the universal "job function" of a strength coach. Because this role's core tasks are similar across high schools, colleges, and pro leagues, a single product could serve them all, enabling a high-volume business model.
TeamBridge's initial 'talk to anyone' strategy was unfocused for go-to-market. However, it forced them to build versatile, 'Lego-like' technological primitives. This accidental architectural decision became a key differentiator, enabling them to rapidly serve new verticals later.
By analyzing their initial marketplace, Ladder found that coaches were charging premium prices for "personalized" plans that were actually just templates for broad customer personas. This insight led them to pivot to a scalable, one-to-many model focused on high-quality programming for specific groups.
TeamBuilder charges NFL teams the same as high school teams. Instead of maximizing revenue from enterprise clients, they use these prestigious logos as powerful social proof to win their actual target market: high schools. This pragmatic, bootstrapped approach values marketing leverage over short-term enterprise revenue.
The initial idea was a social app for college athletes. A single meeting with their campus coach revealed his primary pain was building and distributing training programs, not social connection. This one conversation shifted their entire focus to a B2B SaaS model, which became the foundation for their success.
Blings ignored the common startup advice to focus on a single vertical. This led them to discover that "loyalty" was a powerful horizontal use case applicable across many industries like banking, travel, and retail. This broad appeal became a key growth driver.
Product management "range" is developed not by learning domain-specific facts, but by recognizing universal human behaviors that transcend industries—the desire for simplicity, convenience, or saving time. Working across different verticals hones this pattern-matching skill, which is more valuable than deep expertise in a world of accessible information.
Niching down doesn't limit your market; it clarifies your value proposition for an ideal customer. This extreme specificity about your product's strengths and weaknesses also appeals to a much larger adjacent audience, who can now confidently evaluate your trade-offs and decide to buy.
In a fast-moving environment, rigid job descriptions are a hindrance. Instead of hiring for a specific role, recruit versatile "athletes" with high general aptitude. A single great person can fluidly move between delivery, sales, and product leadership, making them far more valuable than a specialist.
"Bad niching" boxes you in, making you unemployable outside a tiny market. "Good niching" focuses on solving a specific, high-value problem (e.g., messaging, positioning) that is applicable across multiple industries, ensuring your skills remain transferable and in-demand.
Contrary to typical advice, ElevenLabs targeted multiple customer segments simultaneously. This worked because they first built a best-in-class foundational AI model, attracting diverse users. They then hired founder-type leaders to own and grow each vertical-specific product, treating them as separate business units.