The Plan Sets the Ceiling: Building a Life Sciences Sales Plan that Maximizes Your Revenue Opportunity in Life Sciences

New research from more than 1,000 senior revenue leaders found that the strongest predictor of hitting their number wasn't seller talent, team size, or even industry. It was the quality of the sales plan. Before a single rep makes a call, performance has already been shaped by decisions made months earlier.

Most Life Sciences commercial organizations are quite familiar with this situation. The top orgs are those that get their planning together early and well. The orgs where planning goes poorly are usually the ones dealing with quota disputes, forecast issues, and poor trust among reps.

Join Varicent and KPMG as they unpack what the research means for Life Sciences specifically. You’ll see where the connections between planning, incentives, and execution most commonly break down, and how leading organizations are building more connected commercial operating models. The conversation will also touch on where top teams are deploying AI, not as a replacement for sound planning and compensation decisions, but as a way to keep those decisions connected and consistent.

You'll come away with:

• A clearer view of why plan quality, not seller talent or team size, is the strongest predictor of commercial performance, and what that means for how Life Sciences leaders diagnose underperformance
• A look at where territory design, quota setting, incentive plans, and field execution most often disconnect in Life Sciences, and why those gaps compound over launch cycles
• Practical examples of how leading organizations are improving launch effectiveness, quota accuracy, rep trust, and revenue predictability by connecting these pieces
• A grounded view of where AI is already helping and where the fundamentals still matter more