Win rate and sales cycle: how to measure B2B sales effectiveness
Win rate is the share of closed sales opportunities that the company won. The sales cycle is the time from creating an opportunity to winning it. The article gives the formulas for both metrics, shows their effect on sales velocity with a worked example and describes the most common calculation mistakes.
Amounts and values in the examples are illustrative and show how the calculation works. In projects, we use the client's data.
Dominik Dębski · Lemur Media · · 4 min read
Reviewed by Dominik Dębski, 1 November 2026
How is win rate calculated?
Win rate is the number of won opportunities divided by the number of all opportunities closed in the period, won and lost. Open opportunities are excluded from the calculation because their outcome is not yet known. The metric is calculated in two variants: by number of opportunities and by value. Where deal sizes vary widely, the value-based variant better reflects the impact on revenue.
A customer's failure to decide is a separate category of loss. Example: in a quarter, 70 opportunities were closed, 20 won and 50 lost, of which 15 ended with no decision. Win rate is 20 ÷ 70 = 28.6%. Competitive win rate, excluding opportunities that ended with no decision, is 20 ÷ 55 = 36.4%. The difference shows that part of the problem lies in qualification and building the business case for purchase, and part in the advantage over competitors.
How is the sales cycle measured?
The sales cycle is measured as the median number of days from creating a qualified opportunity to winning it, separately for customer segments and deal sizes. The median is more robust than the mean to individual, very long processes. Breaking the cycle down into stages shows where opportunities wait longest.
| Stage | Median days |
|---|---|
| Qualification | 10 |
| Needs analysis | 20 |
| Services | 25 |
| Negotiation | 20 |
| Paperwork and signature | 15 |
| Sum of stage medians (indicative) | 90 |
The sum of stage medians is an approximation: the median of the full cycle usually differs from the sum of stage medians. In the example, proposal and negotiation take up half of the cycle, so that is where the causes of lengthening are sought. The cycle is compared between quarters within the same segments, because a change in customer mix, such as a larger share of large companies, lengthens the average cycle without any deterioration in the team's work.
How do win rate and cycle length affect sales velocity?
Sales velocity combines the number of opportunities, win rate, average deal value and cycle length into a single measure of revenue generated by the pipeline per day.
| Scenario | Opportunities | Win rate | Average value | Cycle | Velocity (PLN per day) |
|---|---|---|---|---|---|
| Base case | 60 | 25% | PLN 80,000 | 90 days | 13 333,33 |
| Cycle lengthened to 120 days | 60 | 25% | PLN 80,000 | 120 days | 10 000,00 |
| Win rate 30% | 60 | 30% | PLN 80,000 | 90 days | 16 000,00 |
| Win rate 30% and a 75-day cycle | 60 | 30% | PLN 80,000 | 75 days | 19 200,00 |
Lengthening the cycle from 90 to 120 days reduces velocity by 25%, even though the number and value of opportunities have not changed. A 5 percentage point increase in win rate raises velocity by 20%. Together, the two levers increase velocity by 44% (19,200 ÷ 13,333.33 = 1.44).
What lowers win rate and lengthens the cycle?
Causes are established from data on lost opportunities, broken down by segment, source and the stage at which opportunities drop out. We most often see four groups of causes.
- Qualification: the pipeline takes in opportunities outside the ideal customer profile or without a decision-maker and budget.
- Business case for purchase: the customer does not know the cost of the current problem, so it postpones the decision.
- Customer-side process: new people on the buying committee, security and procurement requirements that surface at the end.
- Offer and price: no differentiation from competitors, so the conversation comes down to discounts.
Analysing causes requires a mandatory loss-reason field in the CRM with a closed list of values, as well as conversations with some customers after a loss. The conversation is conducted by someone outside the sales team, which makes the answers more candid. The results are reviewed once a quarter together with marketing and product, because some causes lie outside sales: in the lead profile, in product features or in the price list.
What are the typical calculation mistakes?
- Including open opportunities in the denominator, which understates win rate in periods of rapid pipeline growth.
- Closing old opportunities as lost in a single CRM clean-up day, which distorts the metric for that month.
- No distinction between a loss to a competitor and a lack of decision.
- Cycle measured from the date the opportunity was entered into the CRM, when sales reps enter opportunities only just before the proposal.
- Comparing win rates between teams without taking into account differences in segments and opportunity size.