A £22,000 deal closing in 51 days and a £110,000 deal taking 173 days can both be healthy. Blend them with three other wins and the average B2B sales cycle length becomes 94 days: precise enough for a board slide, but too crude to run a pipeline.
The useful answer is not a universal average. It is a benchmark matched to your contract value, sector, starting event, customer type and reporting period.
The average B2B sales cycle length starts with a definition
For this article, the recommended clock runs from the date a new-business opportunity meets a documented sales-qualified definition to the date both parties sign the contract. Use calendar days.
Track first enquiry to qualification separately. That measures a different part of the funnel.
This boundary avoids three common distortions:
- Starting when a salesperson happens to create the CRM record
- Stopping at a verbal agreement rather than a signature
- Mixing renewals and expansions with new customers
Never reset the start date when an opportunity is reopened. If procurement pauses a deal, the gross duration still matters. You can report active selling days as a secondary metric if your pause data is reliable.
Publish four figures together: mean, median, 75th percentile and sample size. The mean shows the effect of long-tail deals. The median describes the typical win. The 75th percentile helps with planning risk. Sample size shows whether any of them deserve confidence.
Most public benchmarks calculate closed-won deals only. Retain that convention for comparability, but report lost-deal duration and current open-deal age separately. Otherwise, poor qualification can disappear from the average simply because stale deals never close.
Average B2B sales cycle length by deal size
One of the more usable public cuts comes from a 2022 Mediafly and RevOps Squared survey of 339 B2B companies. Across the full sample, the median sales cycle was 60 days and the mean was 86.
The source reports annual contract value in US dollars, so the original bands are preserved below. UK companies should match the nearest commercial tier rather than treating currency conversion as exact: internal approval thresholds matter more than the exchange rate.
| Annual contract value | Median cycle | Mean cycle |
|---|---|---|
| Under $1,000 | 20 days | 34 days |
| $1,000–$5,000 | 30 days | 51 days |
| $5,000–$10,000 | 35 days | 72 days |
| $10,000–$25,000 | 30 days | 51 days |
| $25,000–$50,000 | 60 days | 72 days |
| $50,000–$100,000 | 90 days | 114 days |
| $100,000–$250,000 | 90 days | 132 days |
| $250,000–$1 million | 60 days | 119 days |
The pattern is useful, but it is not a smooth formula. Moving from the $25,000–$50,000 band to $50,000–$100,000 raises the median from 60 to 90 days and the mean from 72 to 114. In the next band, the median remains at 90 while the mean reaches 132, indicating a heavier long tail.
The falling median in the $250,000–$1 million band does not prove that larger deals close faster. Its 119-day mean points to a skewed cohort. Sample composition and smaller segment sizes can produce counterintuitive results.
There is an even sharper warning in the 2024 Norwest benchmark. Its survey of 195 sales and marketing leaders at VC- and PE-backed companies reported an average of nine months for $50,000–$100,000 contracts—three times the 90-day median in the earlier dataset.
Do not average those figures into an invented six-month target. Treat them as a plausible range, then use your own matched cohort as the operating benchmark.
Sales-cycle benchmarks by sector
Sector affects the process, but it often stands in for deal value, buyer size and approval burden.
First Page Sage’s 2025 dataset reports the following figures. The publisher does not display a sample size on the page, so these are directional planning references rather than controlled industry standards.
| Sector | Reported median deal size | Typical sales cycle |
|---|---|---|
| Professional services | $8,900 | 51 days |
| Marketing and advertising | $15,200 | 58 days |
| SaaS and technology | $12,400 | 67 days |
| Healthcare and MedTech | $18,700 | 72 days |
| Financial services | $31,200 | 89 days |
| Manufacturing | $47,800 | 124 days |
| Real estate and construction | $89,300 | 147 days |
Real estate and construction show a cycle 2.9 times longer than professional services, but their reported median deal is roughly ten times larger. The table cannot isolate sector from deal size.
An older but much larger MarketingSherpa survey of 1,745 organisations offers a useful structural check. It measured the entire period from first lead enquiry to purchase. The proportion reporting cycles of seven months or more was 40% in software and SaaS, 24% in professional and financial services, 13% in media and publishing, and 25% in manufacturing.
The data were collected in 2011, so they should not set a current forecast. Their enduring lesson is the confounding effect: the researchers explicitly connected SaaS’s longer cycles with its larger deals.
Benchmark in this order: contract-value band, new versus expansion business, buyer organisation size, then sector.
Why published averages disagree
Several metrics are routinely given the same “sales cycle” label:
- Lead-to-close: first identifiable enquiry to signed contract
- Opportunity-to-close: qualified opportunity creation to signature
- Buying journey: the buyer’s internal research through purchase
- Stage age: time spent in one CRM stage
- Open-deal age: time elapsed for opportunities that have not closed
These numbers are not interchangeable.
6sense’s 2025 buyer study covered nearly 4,000 buyers and found an average buying cycle of 10.1 months. Buyers first contacted sellers 61% of the way through that journey.
A simple calculation puts the post-contact portion at roughly 3.9 months: 10.1 × 39%. Even that is not an opportunity-to-close benchmark, because first seller contact can happen before formal qualification. The study also involved high-value purchases, with reported median costs generally between $200,000 and $400,000 depending on solution type.
Market timing changes the answer as well. Ebsta’s 2024 H1 benchmark update, covering 4.7 million opportunities across 566 companies, reported sales cycles rising 20% against 2023.
Our separate analysis of why B2B sales cycles are lengthening covers those market forces. For benchmarking, the position is simpler: a number without its start point, population and statistic is not a benchmark.
How to measure your average B2B sales cycle length
Use one stable formula:
Mean won cycle = sum of (contract signed date − qualified opportunity date) ÷ number of closed-won deals
Then apply a consistent process:
- 1. Export new-business opportunities with qualification date, signature date, contract value, source, sector and outcome.
- 2. Correct missing dates, inverted dates and duplicate records. Keep legitimate long deals rather than trimming inconvenient outliers.
- 3. Calculate mean, median, 75th percentile and sample size.
- 4. Segment by contract-value tier before comparing sectors or acquisition channels.
- 5. Calculate lost-deal duration and open-deal age separately.
- 6. Repeat using both close-date and opportunity-creation cohorts.
Close-date cohorts answer, “What closed during this period?” Creation cohorts answer, “What happened to the opportunities we generated during this period?” The second is better for comparing marketing sources, but only after the cohort has had enough time to mature.
A worked example
Suppose a B2B company records five closed-won deals:
| Contract value | Qualified-to-signed duration |
|---|---|
| £18,000 | 43 days |
| £22,000 | 51 days |
| £27,000 | 58 days |
| £86,000 | 143 days |
| £110,000 | 173 days |
The blended mean is:
(43 + 51 + 58 + 143 + 173) ÷ 5 = 93.6 days
The median is 58 days.
Segmenting changes the interpretation. Deals below £30,000 averaged 50.7 days. Deals above £80,000 averaged 158 days. The 94-day blended figure describes neither motion particularly well.
Five wins are too few for confident trend claims, so the raw values should remain visible. With more data, retain the bands and compare rolling periods rather than hiding everything inside one company-wide average.
A defensible growth marketing measurement model also carries campaign identifiers and original source data into the CRM. Without that connection, paid media is judged on form fills while the revenue outcome appears months later in another system.
Use the benchmark without blaming the wrong channel
The benchmark should determine your reporting window, not become an arbitrary target.
If higher-value deals average 158 days, an August campaign cannot be judged on October’s closed revenue. Report spend against qualified pipeline first, then revenue after the cohort matures. A long cycle does not excuse weak performance: stage conversion, opportunity quality and ageing still expose problems earlier.
A long average is not proof that the website is obsolete either. Cross-check behavioural data and buyer feedback against specific signs of an outdated B2B website before assigning blame.
Where the evidence does point to the site, use the measured duration to brief its role. The separate guide to building a B2B website around a long evaluation period covers that work without confusing it with the benchmark itself.
If a matched cohort is materially slower than its historical and external comparisons, the next step is the practical guide to reducing sales-cycle length without defaulting to discounts.
Apply the same scrutiny to agency claims. Published project stories with commercial outcomes are only comparable when they state the starting event, deal segment, sample size and observation window.
FAQ
What is the average B2B sales cycle length?
The 2022 survey cited above found a 60-day median and an 86-day mean. Its deal-size medians ranged from 20 to 90 days, while a later Norwest cohort reported nine months for $50,000–$100,000 contracts. Two to four months is a reasonable broad reference for many qualified B2B opportunities, but complex deals can take substantially longer.
When should the sales-cycle clock start?
Start when an opportunity meets a documented sales-qualified definition. Record first enquiry, first meeting and opportunity creation as separate timestamps so other funnel intervals can still be measured.
Should we use the mean or median?
Use both. The median describes the typical deal and resists extreme values. The mean captures the operational effect of unusually long deals. Add the 75th percentile and sample size for context.
Should lost deals count in the calculation?
Do not mix them into the closed-won benchmark. Report their duration separately. A falling won-cycle average alongside rising lost-deal age may indicate that the headline improved while pipeline efficiency deteriorated.
Summary
- Published averages range from weeks to nine months because deal size and definitions vary.
- One 339-company benchmark found a 60-day median and an 86-day mean.
- Sector figures are heavily confounded by contract value and buyer complexity.
- Measure qualified opportunity to signed contract for new business.
- Report mean, median, 75th percentile and sample size by deal-value cohort.
- Judge marketing revenue only after each acquisition cohort has matured.
Actualyse builds websites and campaigns designed for long, committee-driven B2B sales cycles. Book a call to talk through where yours stands.
