Move beyond selling features by offering a "Business Process as a Service" (BPaaS) solution. This involves contracting directly on the business outcomes clients care about, such as cost savings or revenue optimization. This model delivers an end-to-end capability and aligns your success directly with your customer's, creating a powerful value proposition.
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To shift a services-oriented company to a product mindset, frame productization as a competitive advantage. Repeatable, productized solutions offer greater market differentiation than purely custom builds, leading to more effective competition and new deal wins. This tangible benefit helps secure buy-in from sales and leadership.
SaaS companies scale revenue not by adjusting price points, but by creating distinct packages for different segments. The same core software can be sold for vastly different amounts to enterprise versus mid-market clients by packaging features, services, and support to match their perceived value and needs.
Executives don't care about tactical benefits like 'five fewer clicks'. A crucial skill for modern sellers is to extrapolate that tactical user-level gain into a strategic business outcome. You must translate efficiency into revenue, connecting the dots from a daily task to the company's bottom line.
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 large, multi-year software rollouts, organizations should break down business objectives (e.g., shifting revenue to digital) into functional needs. This enables a modular, agile approach where technology solves specific problems for individual teams, delivering benefits in weeks, not years.
Moonshot AI's CEO effectively sells his product by "vision casting"—framing it not as an e-commerce tool but as a partner that enables businesses to thrive. This focus on the ultimate outcome, rather than product features, resonates deeply with customers and powerfully articulates the value of a complex AI solution.
Enterprises are comfortable buying services. Sell a service engagement first, powered by your technology on the back end, to get your foot in the door. This builds trust and bypasses procurement hurdles associated with new software. Later, you can transition them to a SaaS product model.
In a world where AI makes software cheap or free, the primary value shifts to specialized human expertise. Companies can monetize by using their software as a low-cost distribution channel to sell high-margin, high-ticket services that customers cannot easily replicate, like specialized security analysis.
A common marketing mistake is being product-centric. Instead of selling a pre-packaged product, first identify the customer's primary business challenge. Then, frame and adapt your offering as the specific solution to that problem, ensuring immediate relevance and value.
To create transformational enterprise solutions, focus on the core problems of the key buyers, not just the feature requests of technical users. For healthcare payers, this meant solving strategic issues like care management and risk management, which led to stickier, higher-value products than simply delivering another tool.