Глосарій
Win-Loss Analysis
A structured review of why deals were won or lost, typically combining rep notes, buyer interviews, and CRM data.
Win-loss analysis examines closed deals — both won and lost — to understand the real reasons behind buying decisions. It blends quantitative signals from the CRM (deal size, cycle length, competitors present) with qualitative insight from post-deal interviews with the buyers themselves. The discipline separates perceived reasons (what reps think) from actual reasons (what buyers say).
A good program runs continuously, interviewing a sample of wins and losses every month or quarter and feeding themes back to product, marketing, and sales enablement. Common outputs include updated battle cards, messaging adjustments, pricing experiments, and roadmap inputs. The unit of analysis is patterns across deals, not a single anecdote.
Why it matters
Without win-loss, companies optimize for what they think is happening in deals instead of what actually is. It is one of the highest-leverage feedback loops a revenue org can build.
Related terms
Battle Cards
Short, sales-ready briefs that summarize a competitor and arm reps with positioning, objection handling, and proof points.
Sales Enablement
The function that equips sales teams with the content, training, tools, and processes needed to close more deals.
Competitive Intelligence
The ongoing practice of gathering, analyzing, and distributing information about competitors and the market.
Voice of Customer
The disciplined capture and synthesis of customer feedback across every channel, used to drive product and GTM decisions.
Buyer Persona
A fictional but evidence-based profile of a target buyer, used to align product, marketing, and sales.