KPI Tree

Metric Definition

Sales Cycle Length = Sum of Days to Close for All Deals / Number of Deals Closed
Days to CloseNumber of days from opportunity creation to close (won or lost) for each deal
Number of Deals ClosedTotal deals closed in the measurement period
Metric GlossarySales Metrics

Sales cycle length

Sales cycle length measures the average number of days from the creation of a sales opportunity to its close. It is a key efficiency metric that directly affects pipeline velocity, revenue forecasting accuracy, and the cost of sales.

6 min read

Generate AI summary

What is sales cycle length?

Sales cycle length is the average time it takes for a sales opportunity to move from creation to close. It is measured in days and represents the total elapsed time the sales team spends working a deal from first qualification to signed contract.

Sales cycle length matters because time is the sales team's most constrained resource. Every additional day a deal spends in the pipeline is a day that the rep cannot spend on other opportunities. Longer cycles tie up sales capacity, delay revenue recognition, increase the risk of deals going dark, and raise the cost of sale by requiring more touchpoints.

The metric also directly affects pipeline velocity. Because cycle length is the denominator in the velocity formula, reducing it has a proportionally larger impact than the same percentage improvement in pipeline volume or deal value. Cutting cycle length from 90 days to 60 days increases pipeline velocity by 50%, even if nothing else changes.

Sales cycle length varies enormously by deal size, market segment, and buying process complexity. A self-serve SaaS purchase might close in minutes. An enterprise deal with multiple stakeholders, procurement review, and legal negotiation might take six months to a year. Understanding what drives cycle length in your specific context is essential for setting realistic expectations and identifying improvement opportunities.

Reducing sales cycle length is one of the most efficient ways to grow revenue because it increases pipeline velocity without requiring additional pipeline generation. Every day removed from the average cycle improves win rate potential and frees up sales capacity for new opportunities.

How to measure sales cycle length

Sales cycle length is measured by calculating the number of days between opportunity creation date and close date for each deal, then averaging across all deals in a period. Most CRM platforms calculate this automatically.

The starting point definition matters. Some organisations measure from first touch (the initial marketing interaction). Others measure from opportunity creation (when the deal enters the CRM pipeline). Others measure from first meeting. The right choice depends on what you want to optimise. Measuring from first touch captures the full buyer journey. Measuring from opportunity creation captures only the sales-engaged portion.

Best practice is to measure cycle length separately for won and lost deals. Lost deals often have different cycle lengths than won deals, and blending them can obscure important patterns. Deals lost to "no decision" tend to have the longest cycles, which signals stalled deals that should have been disqualified earlier.

Starting pointWhat it measuresBest for
First marketing touchFull buyer journey including nurtureUnderstanding total time from awareness to purchase
Opportunity creation in CRMSales-engaged portion of the cycleMeasuring sales team efficiency and forecasting
First sales meetingActive selling time onlyCoaching reps on deal progression speed

Sales cycle length in a metric tree

In a metric tree, sales cycle length is a key input to pipeline velocity and directly affects revenue timing and cost of sale. It decomposes into the time spent at each pipeline stage, revealing where deals stall.

The tree reveals that cycle length is the sum of time spent in each pipeline stage. By measuring stage-level durations, you can identify the bottleneck. If most time is spent in the evaluation-to-negotiation stage, the issue might be that decision-makers are not engaged early enough. If most time is in negotiation-to-close, the issue might be procurement complexity or contract standardisation.

This stage-level view is far more actionable than a single average cycle length number. Two teams might have the same 60-day average but very different stage distributions, requiring completely different interventions.

Sales cycle length benchmarks

Deal size / segmentTypical cycle lengthKey drivers
Self-serve (<£5k ACV)0 to 14 daysAutomated. Speed depends on trial-to-paid conversion.
SMB (£5k to £25k)14 to 45 daysOne to two decision-makers. Short evaluation.
Mid-market (£25k to £100k)45 to 120 daysMultiple stakeholders. Demos, pilots, procurement.
Enterprise (>£100k)90 to 365 daysComplex buying committees, RFPs, legal review.
Strategic / transformational6 to 18 monthsOrganisational change, executive sponsorship required.

How to reduce sales cycle length

  1. 1

    Engage decision-makers earlier

    Deals stall when reps build relationships with champions but cannot get access to the economic buyer. Qualify for decision-maker access early and involve them in the process before the evaluation is complete.

  2. 2

    Provide self-serve evaluation tools

    ROI calculators, interactive demos, free trials, and sandbox environments let prospects evaluate the product on their own time, compressing the evaluation stage.

  3. 3

    Standardise proposals and contracts

    Template-based proposals and pre-approved contract terms reduce turnaround time. Pre-build security, compliance, and procurement documentation so these do not become bottlenecks.

  4. 4

    Create urgency through time-bound offers

    Deals without urgency drift. Use quarter-end pricing, limited-time pilots, or outcome guarantees to create a reason to decide now rather than later. But ensure urgency is genuine, not manufactured.

  5. 5

    Disqualify stalled deals proactively

    Deals that sit in the same stage for too long are unlikely to close. Set stage-level time limits and disqualify or re-engage deals that exceed them. This reduces average cycle length and frees rep capacity.

Common mistakes with sales cycle length

Measuring only won deals

Lost deals also have a cycle length, and it is often longer. Including only won deals in the average understates the true time investment in pipeline and misses insights from deals that stalled.

Not segmenting by deal size or segment

A blended cycle length across SMB and enterprise is misleading. A 60-day average might hide a healthy 30-day SMB cycle and a problematic 120-day mid-market cycle.

Pressuring reps to shorten cycles at the cost of deal quality

Rushing deals to hit cycle time targets can lead to poorly qualified deals that churn quickly. Reducing cycle length should come from process efficiency, not from cutting corners on qualification.

Not tracking stage-level durations

An average cycle length of 90 days tells you the symptom. Stage-level data tells you the cause. Without stage-level tracking, you cannot identify which part of the process needs improvement.

Identify where deals stall in your pipeline

Build a metric tree that decomposes sales cycle length by stage so you can see exactly where deals slow down and what to fix.

Experience That Matters

Built by a team that's been in your shoes

Our team brings deep experience from leading Data, Growth and People teams at some of the fastest growing scaleups in Europe through to IPO and beyond. We've faced the same challenges you're facing now.

Checkout.com
Planet
UK Government
Travelex
BT
Sainsbury's
Goldman Sachs
Dojo
Redpin
Farfetch
Just Eat for Business