Real estate owners were skeptical of new tech. Instead of focusing on operational cost savings, Metropolis's go-to-market strategy centered on proving they could capture more revenue by eliminating leakage (e.g., when gates are up), which directly increased the underlying value of the real estate asset.
To overcome resistance from conservative real estate owners, Metropolis leased its first locations. This allowed them to deploy their technology, gather performance data, and prove the model's value on their own dime, removing the risk for potential partners.
To overcome the construction industry's conservatism, Monumental operates as a subcontractor. This model is easier to sell than a large capital expenditure like a robot, as it fits existing project budgets and workflows, de-risking adoption for general contractors.
Startup founders often sell visionary upside, but the majority of customers—especially in enterprise—purchase products to avoid pain or reduce risk (e.g., missing revenue targets). GTM messaging should pivot from the "art of the possible" to risk mitigation to resonate more effectively with buyers.
Moonshot AI overcomes customer skepticism in its AI recommendations by focusing on quantifiable outcomes. Instead of explaining the technology, they demonstrate value by showing clients the direct increase in revenue from the AI's optimizations. Tangible financial results become the ultimate trust-builder.
Enterprise leaders aren't motivated by solving small, specific problems. Founders succeed by "vision casting"—selling a future state or opportunity that gives the buyer a competitive edge ("alpha"). This excites them enough to champion a deal internally.
Instead of ad-hoc pilots, structure them to quantify value across three pillars: incremental revenue (e.g., reduced churn), tangible cost savings (e.g., FTE reduction), and opportunity costs (e.g., freed-up productivity). This builds a solid, co-created business case for monetization.
Metropolis couldn't sell its SaaS solution to incumbent parking operators because their business model relied on inefficient labor. These companies operate like staffing agencies on a cost-plus model, creating a fundamental disincentive to adopt tech that would reduce their core revenue stream.
To sell large transformation projects, present the ambitious "North Star" goal but break it into sequential stages. Critically, Stage 1 must deliver tangible business value on its own. This approach wins over skeptics by providing an early return on investment, securing the momentum and buy-in needed for subsequent stages.
Standard metrics like revenue growth are misleading after an acquisition. Metropolis focused on a single variable: the gross profit uplift on a location-by-location basis after deploying their technology. This precisely measured the value created by their tech and proved the M&A thesis.
When selling their tech to risk-averse real estate owners proved too slow, Metropolis pivoted to a "Growth Buyout" strategy. They acquired a traditional parking operator, giving them immediate access to hundreds of locations to deploy their technology and accelerate their go-to-market.