How to do a win-loss analysis
Win-loss analysis turns the most expensive data you have, your losses, into a roadmap for a higher win rate. Most teams skip it because it feels uncomfortable, which is exactly why it is an edge.
The value is in the pattern, not the anecdote. One lost deal is a story; ten losses coded and counted is a diagnosis you can fix.
Short answer
Do a win-loss analysis by interviewing a sample of recently won and lost deals soon after they close, asking why the buyer chose or rejected you, coding the reasons into categories, and looking for patterns you can act on. The goal is not a report; it is one or two specific, fixable causes of loss you address to raise win rate.
Step by step
Interview deals soon after they close
Reach out within a couple of weeks of the decision, while memory is fresh. Talk to both wins and losses; wins tell you what to replicate, losses what to fix.
Ask why, not just what
Get past "the price" to the real reason: value not proven, wrong stakeholder, a competitor's specific advantage, or a timing problem. Neutral, curious questions get honest answers.
Code the reasons into categories
Sort every answer into consistent buckets so you can count them. Patterns only appear when reasons are categorized, not left as free text.
- Lost to a specific competitor
- No decision or lost priority
- Value or ROI not proven
- Wrong or missing stakeholder
Find the biggest actionable pattern
Rank the categories by frequency and impact. The largest fixable pattern, not the loudest single deal, is where you should invest first.
Change the process and remeasure
Turn the top pattern into a process change, such as earlier economic-buyer access, then remeasure next quarter to confirm the fix worked.
Wins deserve analysis too
Teams over-focus on losses, but your wins hold the blueprint for repeatable success: early access to the economic buyer, a strong champion, a quantified metric. Coding wins lets you build those moves into your standard process.
Guard against bias. Reps rationalize losses as "price" because it is nobody's fault. Third-party or structured interviews surface the real reasons, which are usually about value and access.
How Ardovo helps
Ardovo captures close reasons on every won and lost deal and analyzes them by segment, competitor, and stage, so Rook can surface your top loss patterns and the common traits of your wins without a manual interview project.
Frequently asked questions
What is win-loss analysis?
It is the practice of interviewing recently won and lost deals to understand why buyers chose or rejected you, then coding the reasons to find actionable patterns. The output is one or two specific, fixable causes of loss you address to raise win rate.
Why do reps say deals were lost on price when they were not?
Because price is a blameless explanation. The real causes are usually unproven value, a missing economic buyer, or a competitor's specific advantage. Structured or third-party interviews get past the price reflex to the actual reason.
How many deals should I analyze?
Enough to see patterns, typically a rolling sample of recent wins and losses each quarter. Individual deals are anecdotes; ten or more coded outcomes reveal the recurring, fixable causes worth investing in.