Building a fully self-serve product doesn't just cater to small customers. Companies like Square and Figma found that large, sophisticated users often prefer to sign up and explore advanced features on their own. This creates a powerful bottom-up adoption wedge inside large organizations, bypassing traditional top-down sales.
For internal tools, don't rely solely on product-led growth. A hybrid approach combines a frictionless product experience with a proactive "sales" strategy of advocating for the tool's potential, constantly proving its value to leadership, and removing friction for users.
When scaling in operational companies like Walmart or Lyft, product leaders must analyze the entire P&L, not just revenue. The cost of training millions of employees on a new feature can outweigh its benefits, making frictionless, self-adopted solutions essential.
To sell into bureaucratic organizations like schools, adopt a "bottoms-up" strategy. Instead of pitching directors, focus on getting individual teachers to use and love the product. This creates internal demand and pressure on decision-makers to adopt it organization-wide.
For its first three years, Read AI closed enterprise deals without salespeople. When IT departments inquired due to massive bottom-up adoption, the company provided self-service admin tools and automated volume discounts, often avoiding sales calls entirely.
Directly approaching large organizations is often ineffective. Instead, emulate Slack's growth model by getting individual employees to use and love the product. This creates internal champions who advocate for wider organizational adoption, pulling the product in rather than pushing it from the outside.
Figma learned that removing issues preventing users from adopting the product was as important as adding new features. They systematically tackled these blockers—often table stakes features—and saw a direct, measurable improvement in retention and activation after fixing each one.
To serve its largest customers, Square's open platform is crucial. It allows enterprises to integrate their preferred third-party tools with Square's core services. This flexibility prevents churn by allowing customers to customize their tech stack instead of being locked into a closed ecosystem.
According to OpenAI's Head of Applications, their enterprise success is directly fueled by their consumer product's ubiquity. When employees already use and trust ChatGPT personally, it dramatically simplifies enterprise deployment, adoption, and training, creating a powerful consumer-led growth loop that traditional B2B companies lack.
Professionals use sophisticated consumer apps like Nest and Ring at home, creating a powerful psychological contrast with their clunky work software. Startups can win by delivering a consumer-grade experience, which makes the product feel modern and intuitively superior to legacy enterprise tools.
Users exporting data to build their own spreadsheets isn't a product failure, but a signal they crave control. Products should provide building blocks for users to create bespoke solutions, flipping the traditional model of dictating every feature.