Before having software, Templify sold a Big Four accounting firm by positioning themselves as partners who understood the impending cloud transition. They sold domain expertise and a vision for the future, not features, allowing them to co-create the product with their first major customer.
Instead of refusing small pilot requests from enterprises, agree on the condition that specific success criteria are met. Pre-define what happens next, such as a full-scale rollout, transforming a low-commitment pilot into a structured, high-potential sales process.
By establishing the success criteria for a proof of concept, you shape the prospect's thinking. If they later run a formal tender process, they will likely use your criteria to evaluate all vendors, giving you a significant competitive advantage by making your solution the benchmark.
Instead of the typical land-and-expand model, Templify aimed for company-wide rollouts from the start. This created immense stickiness and gave them an 'unfair advantage' to work from inside the organization, growing revenue by going deeper with specific teams after the initial wide deployment.
Early on, Templify balanced customer feedback with their own deep domain expertise. They intentionally focused more on demonstrating a new, better way of working rather than simply asking what customers wanted, thus defining the future state of their market instead of just iterating on the past.
Templify's sales team actively disqualified prospects not open to a fundamental shift in how they worked. They focused only on those who recognized a major technology change was happening, rather than trying to convince skeptics, which conserved sales resources for high-intent buyers.
Templify's AI messaging focused on enterprise-level control, while customers were still exploring individual productivity. Being too far ahead of the market's immediate pain meant they were disqualified from conversations, proving you can be too early with thought leadership.
A mature company hires 'downhill skiers' to execute a known formula efficiently. During a tech disruption like AI, it must pivot back to hiring 'uphill skiers'—explorers who find new paths. This talent and cultural transition is a massive challenge for established businesses.