Win-loss analysis
Win-loss analysis is the practice of systematically studying why deals are won or lost, using evidence from sales conversations and buyer feedback to improve product, positioning and sales execution.
Also known as Win/loss analysis
What does win-loss analysis reveal?
The real reasons buyers chose you or a competitor: missing features, pricing, positioning, the sales experience or timing. These reasons are often very different from what the sales team assumes.
Where does win-loss evidence come from?
Recorded sales calls, CRM notes, lost-deal interviews and competitor mentions. Mining calls at scale surfaces patterns that a handful of post-mortems would miss.
How does win-loss analysis connect to product?
Recurring loss reasons are a prioritised, revenue-linked backlog of features and positioning fixes. Feeding them into product decisions closes the loop between what the market wants and what gets built.
Put it into practice
Win-loss analysis, in brief
Win-loss analysis is systematically studying why deals are won or lost, using evidence from sales conversations and buyer feedback to improve product, positioning and sales execution.
Gather evidence from sales calls, CRM notes and lost-deal interviews, code the reasons deals were won or lost, quantify the recurring themes, and route them to product, marketing and sales.
Related terms
- Voice of customerVoice of customer (VoC) is the practice of systematically capturing what customers say about their needs, expectations and experiences, and feeding it back into product, marketing and service decisions.Read more
- Product-market fitProduct-market fit is the point at which a product satisfies a strong market demand so well that customers adopt, stay and recommend it, and demand begins to pull the business forward.Read more
- Customer insightA customer insight is a non-obvious, evidence-backed understanding of customer behaviour or motivation that can change a decision, distinct from a raw data point or a single piece of feedback.Read more
- Customer segmentationCustomer segmentation is the practice of dividing a customer base into groups that share meaningful attributes, needs or behaviours, so each group can be served and prioritised differently.Read more
- Churn analysisChurn analysis is the work of finding out which customers leave, when, and why, so you can fix the reasons that are in your control and spot the warning signs earlier.Read more
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