Key Takeaways

  • Sam Levy, Head of Go-to-Market at NetSuite, saw his organization scale from $250 million to $4 billion by moving sales leadership beyond gut feeling, embracing data, and then AI.
  • Levy, initially an art major who disliked data, became a CRO who found that structured and unstructured data was crucial for exposing unseen issues and pinpointing "honey holes" for pipeline generation.
  • NetSuite’s adoption of AI now summarizes complex insights, allowing GTM leaders to understand forecasts and team performance without extensive one-on-ones.
  • The best companies are no longer just collecting data; they are using AI to translate it into easily actionable insights, making objective business decisions the new standard.

The Shift from Gut to Algorithmic Sales

Sam Levy’s path from a college telemarketer to leading NetSuite’s $4 billion go-to-market strategy highlights a profound shift in how sales organizations operate. Levy, an art major by background, admits he initially “didn't love [data] at first because I didn't understand it.” Early in his career, he saw data as an abstract concept requiring a "scientist" to interpret. This changed dramatically as NetSuite scaled from $250 million to $4 billion. Data became indispensable, not just an analytical tool, but an objective lens. Levy found that data was "exposing things that I didn't see around the corner," revealing issues and uncovering prime opportunities, or "honey holes," for pipeline generation that traditional sales instincts missed.

This evolution is critical: the disciplined use of data allowed NetSuite to grow past a size where individual heroics could drive consistent results. Levy now wakes up to a "Monday morning report" that dives into pipeline, forecasts, and predictability, all rooted in data, not anecdotes. The expectation for sales leadership has moved from relying on charisma and experience alone to demanding a rigorous, data-informed approach to growth.

AI: Making Insights Actionable

The advent of AI has further accelerated this transformation. Levy explains that while data was already exposing blind spots, AI now makes those insights immediately accessible and actionable. “Today we don't have to have as many one-on ones to get that feedback and solicit what's going on in your forecast or your team meeting or the deals,” he notes. AI streamlines the process, summarizing performance and surfacing trends that previously required time-intensive manual analysis.

This isn't just about faster reporting; it's about democratizing complex data. Levy describes what they get from AI as being “in the common man's language, the common folk language, if you will, where I can actually act on it.” This capability eliminates the need for a "scientist" in every meeting, translating raw data into clear, prescriptive information that sales leaders can use to fine-tune strategy, allocate resources, and improve forecasting accuracy. The ability to make data-driven decisions is no longer a luxury for a select few; it's becoming the baseline for operational excellence in high-growth GTM organizations.

Why It Matters

This operational evolution at NetSuite signals a clear market shift for private equity professionals, operating partners, and LPs. Businesses that lack a sophisticated, data-driven GTM engine, particularly one augmented by AI, will face increasing pressure on valuations and deal attractiveness. Operational partners will find their mandate expanding to include not just process optimization, but the implementation of advanced data analytics and AI tools to unlock predictable revenue growth. For LPs, this trend implies a higher bar for portfolio company performance, where traditional sales talent must be complemented by — and increasingly directed by — algorithmic insights. Companies that can demonstrate robust, AI-informed GTM predictability are positioning themselves as more resilient and scalable, likely commanding a premium in a market that increasingly rewards objective performance over anecdotal success.