Time to Close a Deal is a critical KPI that reflects the efficiency of a sales process and its impact on cash flow.
A shorter closing time often leads to improved cash flow, enabling quicker reinvestment into growth initiatives.
Conversely, prolonged deal closures can strain resources and delay strategic objectives.
Organizations that optimize this metric can enhance operational efficiency and drive better financial health.
By focusing on reducing the time to close, companies can also improve customer satisfaction and increase their ROI metric through faster revenue realization.
Time to Close a Deal belongs to the Mergers and Acquisitions Group KPI group, where it is a mid-priority operational metric. It ranks behind the KPI group's outcome leaders, Number of Successful Deals Closed and Deal Success Rate, and behind Return on Investment from M&A, but ahead of the integration and cost metrics that follow. It measures the efficiency of the deal process itself, the elapsed time from initiating a deal to closing it.
On the balanced scorecard it holds the internal process perspective, which fits a metric about how fast the group executes. It is a lagging signal of process efficiency, confirming after the fact whether a deal moved quickly, and it is meaningful only next to the quality metrics around it.
That is where the tension sits. The most direct way to cut this metric is to compress due diligence and push toward signing, which pulls against Deal Success Rate and Integration Success Rate, two co-metrics in the same KPI group. A team that optimizes for speed alone can close faster and inherit more failed or poorly integrated deals. The KPI group's own framing is explicit that faster closes must not come at the cost of the diligence that protects the deal, so read this metric against success and integration, never on its own.
Time to Close a Deal is a duration metric, so it stands or falls on which milestones bound it. The data lives in the deal pipeline or CRM the group uses to track stages, and the honest calculation applies one consistent start and one consistent end to every deal in the set. Because deal timelines are long and uneven, the average can be dominated by a single protracted transaction, so look at the spread, not only the mean.
Decide the definitional forks before measuring. Fix the start event: first approach, signed letter of intent, or formal initiation, since each moves the clock materially. Fix the end event: signing, regulatory approval, or full close, which can differ by months in an acquisition. Decide how to treat deals that stall or collapse, because dropping abandoned deals from the denominator flatters the figure while keeping them changes what it means.
Segment by deal type and size rather than averaging across the book, since a small tuck-in and a large cross-border acquisition have unrelated timelines. The pitfall that most distorts this metric is survivorship: measuring only deals that closed ignores the ones that died in diligence, so a shrinking time to close can reflect tighter discipline or simply that the hard deals were quietly dropped.
Many organizations overlook the nuances of their sales cycle, leading to inflated Time to Close metrics that mask underlying issues.
Streamlining the sales process is essential for reducing Time to Close and enhancing overall performance.
We have 1 relevant benchmark in our benchmarks database.
Source: Subscribers only
Source Excerpt: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | percentile | study year | deals | B2B |
Browse the Top Benchmarked KPIs in Mergers and Acquisitions Group
Both external sources in our set for this metric measure something adjacent to, but not the same as, an M&A deal. HubSpot reports time to close for sales deals in a SaaS and B2B context, dividing total days to close by the number of deals, and CSO Insights reports a sales-cycle figure across B2B deals as a percentile. A merger or acquisition close and a sales close share the word deal but describe entirely different processes, timescales, and gating steps, so a figure drawn from sales pipelines does not transfer to an M&A group. That mismatch is the first thing to verify before trusting any external number here: confirm that the source is measuring the kind of deal you run. Beyond that, check the start and stop points, since a sales cycle timed from first contact and an M&A clock timed from a signed letter of intent are not comparable, and check the population, because a B2B sales sample says nothing about the volume and complexity of acquisition deals.
This KPI appears directly in the KPI group's own OKR material. One worked objective in the Mergers and Acquisitions Group is to accelerate deal closures without compromising compliance and quality, and Time to Close a Deal is a named key result under it, framed as a directional reduction in the deal timeline. The objective deliberately pairs that speed target with quality key results around due diligence completion and pre-merger compliance, so the KPI is meant to be pursued alongside them rather than alone. Any figure a team sets for the timeline is an internal goal for the period, not an external benchmark.
This KPI is associated with the following categories and industries in our KPI database:
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Multiple factors can impact Time to Close, including sales process efficiency, team training, and customer engagement. Delays often arise from unclear value propositions or lengthy approval processes.
Technology, particularly CRM systems, can automate follow-ups and provide insights into deal progress. This reduces manual workload and ensures timely communication, which accelerates the closing process.
No, ideal Time to Close varies by industry. For example, B2B services may have longer cycles compared to consumer goods, which typically close faster due to simpler purchasing decisions.
Regular reviews, ideally monthly, help organizations identify trends and address issues promptly. Frequent monitoring allows teams to adapt strategies and improve efficiency continuously.
In some cases, a longer Time to Close can be beneficial if it allows for thorough vetting of complex deals. However, consistently high values may indicate inefficiencies that need addressing.
Training equips sales teams with the skills necessary to navigate objections and close deals effectively. Ongoing development can significantly reduce Time to Close by enhancing team performance.
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