How to measure and improve deal velocity with data analytics

Private capital firms are competing harder for the same deals. In Affinity's survey of 275 private equity and venture capital professionals, 46% named competition from other firms as a major factor in their deal activity, up from 42% a year earlier. Meanwhile, 68% expect to do more deals in 2026.

Capital is concentrating too. According to the PitchBook-NVCA Venture Monitor, established firms raised 79.4% of US venture capital in 2024, the highest share in a decade. Smaller and newer firms are chasing the same founders with less capital behind them.

When more firms chase the same deals, speed decides more of the outcomes. This guide covers how to measure deal velocity, how to find where your process loses time, and how three Affinity Analytics reports turn that measurement into faster decisions.

Key takeaways

• Deal velocity is the number of term sheets your pipeline produces per day: qualified opportunities × win rate ÷ average days to term sheet.
• Time is often the cheapest lever. In the worked example below, cutting 15 days from the average cycle produces more term sheets than raising the win rate by a full point.
• Measure each stage by its median days, not its average, so one parked deal doesn't distort your baseline.
• Three Affinity Analytics reports show where velocity leaks: the deal funnel, time in stage, and deal source.

What is deal velocity?

Deal velocity is how fast your firm moves an opportunity from first contact to a signed term sheet. In private equity, the equivalent finish line is a signed letter of intent (LOI).

The term sheet or LOI is the right finish line because it's the point where you've beaten other bidders. After it, a PE deal usually enters exclusivity, and the remaining timeline depends on legal work and confirmatory diligence. Competition does most of its damage before that point.

Velocity also shapes how founders and sellers see you. A drawn-out process signals low conviction, and a founder with two term sheets in hand often takes the faster partner.

How to measure deal velocity

The formula below adapts the sales velocity formula sales teams use. It swaps revenue for term sheets, because that's the output an investment team controls.

Deal velocity = (Qualified opportunities × Win rate) ÷ Average days to term sheet

The result is term sheets per day. Multiply by 30 to get a monthly figure your team can track. To measure capital deployment instead, multiply the result by your average check size.

Define each input once and keep the definition fixed. "Qualified" should mean the stage where a deal earns real partner time, such as a first meeting. "Win rate" is signed term sheets divided by qualified opportunities over the same period.

Worked example

A firm has 120 qualified opportunities in a quarter, wins 5% of them, and takes 75 days on average from first contact to term sheet. These figures are illustrative.

Cutting 15 days lifts output 25% without adding a single opportunity. It also beats a full point of win rate, which usually takes better sourcing or a stronger pitch. Time is usually the easiest of the three inputs to change, because much of a deal's cycle is waiting, not work. Deals wait on an IC slot, a partner's calendar, or a data request nobody owns.

Set your own baseline

There's no universal benchmark for deal velocity. A seed fund and a buyout firm run very different processes. The useful comparison is against your own last four quarters, stage by stage.

• Use the median days in each stage, not the average. One deal parked for nine months can double an average and hide where typical deals actually stall.
• Measure by stage, not just end to end. A 75-day cycle tells you there's a problem. Stage-level times show you where it is.
• Count the deals you passed on. A fast "no" frees time for the deals you want, so track how long it takes to pass, too.

The time is worth recovering. In Affinity's 2026 survey, 57% of investors spend 21 or more hours a week researching deals. Every week a deal sits idle in your pipeline adds to that load.

Three Affinity Analytics reports that show where velocity leaks

The formula tells you how fast you are. These reports show why. Affinity Analytics includes reporting templates built for private capital that firms customize to their own stages and sources.

Investors use them to study their own decisions as much as their pipeline. Fabian Krautwurst, then an investor at Cavalry Ventures, described his team's approach in Affinity's Analytics Masterclass:

"We use Affinity Analytics to slice and dice everything to understand our decision making and see if there's a pattern. Feedback cycles in VC are long by nature. So we really try to make the most of the few information points available."

1. The deal funnel: find where deals drop out

The funnel report shows how many opportunities sit at each stage and what share convert to the next. This view gives you two of the formula's inputs: your qualified volume and your win rate.

Filter the funnel by sourcing channel (referrals, conferences, inbound) or by industry, geography, deal owner, and company size. Filtering turns a single conversion rate into a diagnosis. It can show, for example, that most lost deals are UK-based SaaS companies, or that most losses happen after the second meeting.

2. Time in stage: find where deals wait

The time-in-stage report shows how many days deals spend in each stage. This is the third input in the formula, broken down so you can see which stage to fix. Compare each stage's current median against your four-quarter baseline.

In the example below, deals are spending noticeably longer in Diligence and Term Sheet than in earlier stages. That pattern usually points to process problems, such as diligence requests without a standard checklist or term sheets waiting on partner sign-off.

A stalled-deal view takes this further. It lists the specific deals that have sat in a stage longer than a threshold you set. Many firms run their weekly pipeline meeting from this list, so every stalled deal gets an owner and a next step.

3. Deal source: find which channels produce fast wins

The deal source report shows where your opportunities come from and how each source converts. Firms track different sourcing goals. Some focus on specific sectors or regions, and others track founder demographics.

In the example below, one firm tracks deal sources by state and sector to check its sourcing goals against actual dealflow.

Combine source with time in stage to find your fastest channels. If referred deals reach a term sheet in half the time of inbound deals, sourcing more referrals raises velocity without touching your process.

Turn the numbers into a faster process

Measurement only raises velocity if it changes what your team does each week. Four habits do most of the work:

1. Set a stage-time threshold. For each stage, flag any deal that runs past your own median. Your own history is the benchmark that matters.
2. Run the pipeline meeting from the stalled-deal list. Every flagged deal leaves the meeting with an owner and a next step, or a decision to pass.
3. Pass faster. Filtering out poor fits early stops your team from spending diligence time on companies it won't back. That time goes back into the deals you want to win.
4. Recalculate velocity every quarter. Compare the result by source and by deal owner, so you can see which changes actually moved the number.

Affinity Analytics includes preset dashboard templates for these metrics, and your team can customize them to match its own stages and sources.

If you're new to Affinity, request a demo to see Affinity Analytics in action. If you're already a customer, download the getting-started guide to set up these reports.

Deal velocity FAQs

What is a good deal velocity?

There is no universal benchmark, because velocity depends on stage, strategy, and deal size. A seed fund closing small checks runs a shorter process than a buyout firm with weeks of diligence. The most useful comparison is your firm's own trend over the last four quarters.

How is deal velocity different from sales velocity?

Sales velocity measures revenue per day, and the goal is to win as many deals as possible. Deal velocity measures term sheets per day, and investors deliberately turn down most opportunities. A low win rate isn't automatically a problem. A slow "no" usually is.

Does faster always mean better?

No. The goal is to remove waiting time, not working time. Cutting diligence short raises risk. Cutting the days a deal waits for an IC slot or an unanswered data request does not.

What data do you need to measure deal velocity?

You need dated stage changes for every opportunity, plus its source, owner, and outcome. The most common failure is incomplete data: if stage changes are logged by hand, days in stage are wrong. A CRM that captures email and meeting activity automatically keeps that history complete without extra data entry.