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Example 1: Loss analysis

Win rate is the share of your proposals that turn into paying customers. You work it out by dividing closed-won deals by proposals sent, then multiplying by 100. A win rate of 30% means that for every ten proposals you send, three sign.

This is the last conversion before money changes hands. Everything upstream, the leads, the demos, the follow-ups, feeds into this one moment, so win rate tells you how good you actually are at closing once you reach the finish line.

Say you're running your pipeline in Pipedrive: filter to deals that reached the proposal stage last quarter, count how many ended up in won versus lost, and the ratio is your real win rate, not a feeling. You can slice it by rep, by lead source, or by deal size to see where you actually close and where you're wasting proposals.

The number depends on proposal quality, pricing, competition, and plain sales skill. Say you send your quotes through PandaDoc: a clearer, better-priced proposal that the buyer opens and signs the same week beats one that loses to a competitor or, more often, to "no decision."

Watch the trend, not a single number. A win rate that's sliding usually means new competitive pressure or sloppy execution; one that's climbing tells you your positioning and process are landing. Say you log every deal in Close and chart win rate month over month, a sudden drop is your cue to listen back to a few lost calls before the quarter slips away.

A company has a 25% win rate. They analyse lost deals and find 40% are "no decision." They add ROI calculators to their proposals showing payback period. Win rate increases to 35% as more prospects justify the investment internally.

Why it matters

Win rate directly determines revenue from pipeline. If you have 1 million euros in proposals outstanding and a 30% win rate, you can expect 300,000 euros in revenue. At 40% win rate, that becomes 400,000 euros.

This metric also helps with forecasting. Multiplying pipeline by historical win rate gives you a realistic revenue projection. Without knowing win rate, forecasts are guesses.

Win rate reveals competitive positioning. If you consistently lose to a specific competitor, your differentiation is not landing. If you consistently lose to "no decision," prospects do not see enough urgency or value.

Example 3: Proposal customisation

A consultancy sends the same templated proposal to every prospect. Win rate is 20%. They start customising proposals with specific references to the prospect's challenges and goals. Win rate increases to 32%.

How to apply

Calculate win rate:

Win rate = (Closed won deals / Proposals sent) × 100

Track this monthly. Break it down by:

  • Deal size (do larger deals win at different rates?)
  • Competitor (who do you win and lose against?)
  • Loss reason (no decision, competitor, budget, timing?)
  • Sales rep (is performance consistent?)

To improve win rate:

  • Analyse lost deals for patterns
  • Improve proposal quality and customisation
  • Train on negotiation and objection handling
  • Build stronger business cases with ROI calculations
  • Multi-thread to reach decision makers

Example 2: Competitive positioning

A software company loses 50% of competitive deals to one specific competitor. They create a battle card with specific differentiation points. Win rate against that competitor increases from 30% to 45%.

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