Veteran CRO Carlos Delatorre prioritizes opportunities with complex products requiring a sophisticated sales motion. This environment allows him to leverage his expertise in building teams that can translate technical features into business value, create demand, and navigate internal customer politics, thereby making the market bigger.

When a board asked an ex-Amazon CMO for more "marketing influence" to drive growth, he pushed back. He argued the real opportunity wasn't more marketing activity, but stopping revenue leakage throughout the entire funnel, such as the three-day delay for sales to touch an MQL. This shifts focus from generation to conversion efficiency.

Peets uses a simple rule to assess sales team health: the new ACV per rep must be at least three times their On-Target Earnings (OTE). If a team isn't meeting this benchmark in an established business, the unit economics are broken, and the company likely has too many salespeople.

While time savings from AI are a basic benefit ("table stakes"), the true business impact of an agentic GTM platform is measured by core revenue metrics. Leaders should track pipeline velocity, conversion rates, average contract value (ACV), and win rates to prove ROI, not just efficiency gains.

Don't view foundational RevOps work as a chore that distracts from creative marketing. By optimizing conversion rates through better infrastructure, you generate more efficient pipeline and revenue. This, in turn, frees up the budget for the ambitious brand campaigns marketers love to run.

Executives are indifferent to the philosophical nuances of new measurement models. To convince them to abandon legacy metrics like MQLs, frame the change around what they care about: cost of growth, CAC payback, EBITDA, and overall business risk, not just better marketing data.

A motion (e.g., PLG) contributing 20% of revenue might seem successful. However, elite teams analyze its efficiency—the conversion rate and cost to acquire that revenue. A high-cost, low-conversion motion is a significant drain, even if its top-line contribution appears acceptable on paper.

A CRO program's primary metric must directly impact the business bottom line (revenue, MQLs, SQLs), not vanity metrics like bounce rate. The argument that bottom-line impact is "too hard to measure" is an unacceptable excuse that undermines the program's strategic value and executive buy-in.

Don't hire more reps until your current team hits its productivity target (e.g., generating 3x their OTE). Scaling headcount before proving the unit economics of your sales motion is a recipe for inefficient growth, missed forecasts, and a bloated cost structure.