LeanScale Cycle time · What our clients' funnels did this year

We took 134 days out of the funnel

Across our client portfolio, the median go-to-market funnel, first touch to live customer, went from 185 days to 50. Six months, down to seven weeks. Below is where the time came from, and a model of what the same compression would be worth to your team.

Median funnel, before 184.7days

→

After 50.3days

Days removed 134.4

Faster by 73%

Where the 134 days came from

Median days at each handoff of the bowtie, before and after. Each bar is the full funnel; each segment is one stage. Every stage got faster. Hover any segment for its numbers.

Handoff	Who owns it	Before	After	Days out	Faster by
Full funnel		184.7 d	50.3 d	134.4 d	73%

Which practice moved which number

Cycle time is not one team's job. Nearly half the compression came from the marketing-owned top of funnel, where speed is mostly a routing and instrumentation problem. The rest came from the sales-owned middle and the post-sale handoff to live.

Marketing Ops owns 64.2 days Lead → MQL → SQL

The biggest single block of dead time in most funnels, and the cheapest to fix. Nobody is selling during it.

Rev Ops owns 38.2 days SQL → SAL → Won

The part reps actually work. Compressing this is what raises how many deals a rep can carry in a year.

Onboarding owns 32.0 days Won → Live

Signed is not revenue. Every day here is a day of paid-for value the customer has not felt yet.

Model it for your team

Put in your own numbers. Drag any stage down to see what that day count is worth. The model holds your win rate and your headcount constant. Every gain here comes from the same team moving the same deals through a shorter pipeline, not from selling better.

Your team

GTM headcount

Everyone carrying a number: sales, marketing, CS, and the ops behind them.

Loaded cost per head

Average contract value

New customers won per year

Existing customer base

Used only to express the gain against the ARR you already have.

Capacity realization · 70% How much freed rep capacity turns into real deals. Set this to 0 if your reps already have idle time. Then the only gain is revenue arriving sooner.

Your cycle time, stage by stage

Funnel cycle time — —

New ARR per year — —

Reps you didn't hire — —

GTM cost per new customer — —

Revenue pulled into this year — —

Gain vs. current ARR — —

—

Why cycle time is the lever

A sales team is a queue. Little's Law says the number of deals it finishes per year equals how many it can hold at once, divided by how long each one takes. Your headcount sets the first number. Cycle time sets the second, and it is the one you can change without hiring.

That is why this is an ops problem rather than a sales problem. Nobody is selling during the 44 days a lead sits before it gets qualified, or the days a signed deal waits on provisioning. That time is pure queue, it costs full salary, and taking it out makes the same team finish more work. Win rate is a product, pricing, and skill question. Cycle time is a systems question, and systems are fixable.

Method & assumptions

The funnel figures are medians across our client portfolio, measured per company as the average of the second half of its history against the first half, so a company is always compared against its own baseline rather than against anyone else's.
The 184.7-day figure is a stage-by-stage funnel: the median at each handoff, added up. It is the median funnel, not the total cycle of any one company, and medians do not add — read it as a composite picture of where time sits.
Companies without enough stage history to trend are excluded, as are quarters where a stage records a rate with no underlying volume. An empty stage is treated as missing data, never as a zero.
The calculator holds win rate and headcount constant. Every gain it shows comes from throughput, not from better selling. Throughput scales with the rep-worked part of the cycle (SQL → Won), because that is the portion that occupies a rep's capacity; queue time earlier in the funnel is modelled as pulled-forward revenue, not as new capacity.
Capacity realization is your assumption, not ours. The theoretical ceiling assumes a team that is fully capacity-bound. Real teams are not, which is what the realization control is for. At 0% the model claims no extra deals at all.
Pulled-forward revenue is timing, not new money. It is the annualized value of contracts starting sooner, which is a cash and recognition benefit rather than incremental ARR. It is shown separately for that reason and should not be added to the ARR figure.
No client data is published here. Every figure is a portfolio aggregate. No company is named and nothing on this page is attributable to a specific customer.

Want to know which stage is costing you the most?

Finding the dead time is the first thing we do on a new engagement: every handoff in your funnel, measured, with the stages that record nothing called out instead of averaged away. Most teams have never seen the whole queue laid out end to end.

Talk to LeanScale →