Win/Loss Analysis Template - Free Sales Tool | Airspeed

Win/Loss Analysis Template

Complete a structured analysis for any closed deal. Capture the primary and secondary factors, competitor context, and key learnings - then copy a formatted summary to paste into your CRM or Notion.

Deal details

Deal Name

Company or opportunity name

Deal Value

Annual contract value

$

Outcome

Did you win or lose this deal?

Stage Won At

Where in the cycle did it close?

Primary Reason

The single most important factor

Secondary Contributing Factors

Select all that apply

Competitor Involved

Which competitor were you evaluated against?

Key Learnings

What did you learn from this deal that you will apply going forward?

What Would You Do Differently?

Specific process or behavior changes for next time

Generate analysis

New deal

Common patterns in B2B sales

Win patterns

Loss reasons

Source: aggregated B2B SaaS benchmarks across mid-market sales organizations.

Questions about win/loss analysis

Why should sales teams conduct formal win/loss analysis?
Most teams have intuitions about why they win and lose - but intuitions are noisy. Formal win/loss analysis surfaces patterns that are invisible at the individual deal level. Teams that track reasons consistently can identify systemic issues in their sales process, product positioning, or competitive response - and fix them.

How often should we analyze wins and losses?
Every closed deal should be logged within 48 hours while the details are fresh. Monthly or quarterly pattern reviews across the full dataset are where the strategic insights emerge. The granular log is only valuable if someone is looking at the aggregate picture.

What is the most underanalyzed loss reason?
No decision. Teams obsess over losing to a competitor but the biggest silent killer in B2B sales is the prospect choosing to do nothing. No-decision losses are usually a symptom of insufficient urgency, no critical event, or a champion who could not build internal consensus - all coachable issues.

How does Airspeed automatically extract win/loss insights?
Airspeed analyses every call in a closed deal's history - not just the final call - to extract signals that correlate with the outcome. It looks at question types, objections raised, competitor mentions, champion engagement, and talk patterns. These signals are mapped to CRM fields automatically, giving revenue leaders a data-driven view of win/loss patterns without rep-entered notes.