Quote Conversion: What a Good Win Rate Looks Like for Contractors

Nobody Talks About This Number

Revenue gets celebrated. Margins get analyzed. But the number that determines whether either one grows? Quote conversion rate, the percentage of quotes that turn into jobs. Almost nobody in the trades tracks it systematically.

The Level Index measures decided-quote conversion across 794 contractors with at least 20 decided quotes, so we can show what good, average and bad look like on that definition. The spread is enormous, and the arithmetic below shows why moving from average to top quartile can matter as much as new lead spend.

What's the conversion gap costing you? Open the Quote Conversion Calculator, compare your quote-count rate on decided records (won divided by won plus lost) with the median (73.9%) and top quartile (83.2%). Treat any dollar projection as a scenario: a count-based benchmark is not a dollar-weighted rate, and signed work is not earned revenue or collected cash.

The Benchmarks

Here's how decided-quote conversion (won divided by won plus lost, pending excluded) breaks down across 794 contractors with at least 20 decided quotes. This is a cross-trade sample, not a separately measured HVAC, electrical or plumbing subset:

Two definitions matter, and mixing them is the most common benchmarking mistake:

Both metrics report 794 companies, with their own eligibility definitions; equal sample sizes do not establish identical company or quote records. If your FSM's built-in conversion metric counts every quote in the denominator, compare it to the all-quote row, not to 73.9%. Fictional check: a company issues 100 quotes, wins 50, loses 18, and leaves 32 pending or never decided. Its decided-quote conversion is 50 / 68 = 73.5%. Its all-quote conversion is 50 / 100 = 50%. Same company, same period, two honest numbers.

The original analysis also reported pooled counts: about 438,000 quotes with about 183,000 converted (about 42% pooled), and 48,000 quotes created but never sent to the customer, about 11% of created quotes. These are retained legacy snapshot figures. Their underlying source, eligibility rules and cutoff have not been reproduced; they are not verified current measurements or a confirmed match to the 794-company cohort. A pooled rate also weights big quoters more heavily than a company median does. Unsent quotes are still real pipeline leakage before the sales process even begins.

What the Top and Bottom Look Like

At the top, the P90 is 90.0%, so roughly one in ten companies in the sample wins 90% or more of decided quotes. Individual company examples from the original analysis are not restated here because they are not part of the current canonical metric set. A 90%+ rate can come from several distinct mechanisms:

• Demand already decided: service or repair customers who have committed to the work and are choosing who does it
• Relationship or sole-source work: negotiated or repeat-customer quotes with little competition
• Recording artifact: lost quotes left open as pending, which flatters won / (won + lost)
• Pricing below market: possible, but only a margin check can tell you

Counterexample: a company that never marks quotes lost can show 95% decided-quote conversion and 30% all-quote conversion at the same time. Check both rows before celebrating.

At the other end, contractors converting below 50% are essentially losing more bids than they win. They're spending estimating time, sales time, and site visit time on work they're not going to get.

The Math That Should Change How You Think About Quoting

Let's make this tangible.

Fictional, illustrative example. It assumes conversion is measured on dollars of decided quotes, won work carries the same 40% gross margin, and crews have capacity to deliver it.

Contractor A: 60% conversion, quoting $5M/year

• Signed quote value: $3M in signed work
• Unwon quote value: $2M in quoted work, gone

Contractor B: 85% conversion, quoting $5M/year

• Signed quote value: $4.25M in signed work
• Unwon quote value: $750K

Same quoting volume. $1.25M additional signed work, becoming revenue only as the work is performed under your accounting policy. At 40% gross margins, that's $500K in additional gross profit. No additional marketing. No additional estimating. Just closing a higher percentage of the quotes you're already producing. Two checks before you bank it. First, the benchmark definition does not specify dollar weighting, so compute your own rate both by count and by dollars. Second, if the higher close rate comes from price cuts, the 40% margin assumption no longer holds.

Or flip it: Contractor A needs to quote $7.1M to match Contractor B's signed work. That is about 42% more quoted dollars. It implies 42% more estimates or sales time only if average quote size and effort stay unchanged.

Why Contractors Lose Quotes

Five operating hypotheses to investigate. Quote status data does not establish the causes of low conversion:

1. Pricing Too High for the Market

This is the obvious one, but it's less common than people think. If your bill rates are in line with your market and your conversion is still low, price probably isn't the primary issue.

Test responsiveness and scope clarity alongside price in your win/loss notes. A high conversion rate does not reveal which of those factors mattered.

2. Slow Response Time

In service work, the contractor who quotes first wins. Not always. But disproportionately. If a property manager requests quotes from three HVAC companies and you respond in 4 hours while the others take 2-3 days, you often shape the decision before the others even compete.

In practice, speed to quote is one of the highest-leverage improvements for many service contractors. Same-day quoting, or within 2 hours for emergency requests, is a practical target. This is operating guidance, not a measured trait of top converters in the benchmark data. Check it in your own data: compare decided-quote conversion for quotes sent the same day as the request versus later.

3. Quoting the Wrong Customers

Some customers are price-shopping. They'll request 5 quotes, take the cheapest, and negotiate it down further. If your pipeline is full of these, your conversion will be structurally low regardless of price or service quality.

The fix: qualify before you quote. A 10-minute phone call to understand scope, timeline, and decision criteria saves hours of estimating time on quotes you were never going to win.

4. No Follow-Up

You send the quote. Silence. You wait. More silence. Three weeks later, the customer calls someone else because they assumed you weren't interested.

Follow up within 48 hours of sending a quote. This is practitioner guidance: the benchmark metrics above are built from quote status and dates and do not measure follow-up activity. Not to pressure, to answer questions, clarify scope, and remove objections. The quote is the start of the sales process, not the end.

5. Quote Presentation

A PDF with a price at the bottom and no context loses to a proposal that explains the scope, shows the timeline, includes photos of the problem, and breaks down the investment. The extra 15 minutes spent on presentation often pays for itself. Test it by comparing conversion on detailed proposals versus price-only quotes.

The Speed of Decision: When Quotes Die

The conversion rate tells you how many quotes close. The timing data measures recorded acceptance or loss dates, not an unobserved customer decision.

From the dataset, the gap between converted and lost quotes is stark:

Converted quotes are accepted in a median of 2 days. The customer sees the price, says yes, and moves forward. The published median time to recorded loss is 29 days after sending. The canonical timing metadata does not establish whether the percentiles pool individual quotes or summarize companies, so they cannot establish the share of all lost quotes past day 29. One caution on mechanism: days to loss measures when someone changed the status, often during pipeline cleanup, so it can lag the customer's actual decision by weeks.

Use the published 2-day median as a prompt to inspect your own acceptance-time distribution, not proof that half of all winning quotes close by day 2. The benchmark does not give a day-7 win probability, so measure yours. Take every quote that was still open on day 7 over the last 12 months and calculate the share that eventually won. If that share is low, the customer's silence is usually the answer.

This changes how you should manage your pipeline. If your day-7 check shows few late wins, a quote that's 10 days old without a response merits direct review before it stays in the forecast, and the estimating time, site visit and sales effort are already sunk costs. The follow-up at 48 hours isn't just good practice. It may be your best realistic shot at converting. After a week, your energy is likely better spent on the next opportunity, unless your own data shows meaningful late wins, for example on project bids that need owner or board approval.

The Counterintuitive Insight: Very High Conversion Might Be a Problem

If you're converting 95%+ and your margins are thin, test whether you're underpricing. A high close rate alone doesn't prove it, because recording habits and customer mix can produce the same number. Here's the test:

A practical planning range for most contractors is 70-85% decided-quote conversion at healthy margins. This range is an editorial planning assumption that brackets the measured median and top quartile, not a measured optimum. If you're closing everything on thin margins, you may be leaving money on the table. If you're closing less than 60%, you're wasting estimating resources.

Contractors at 98-99% conversion are often service companies where the customer has already decided to do the work, it's just a question of who does it. Treat that as a hypothesis to check against your own customer mix; the benchmark metric is not segmented by job type. That context matters. A GC bidding competitive projects at 98% conversion would be suspicious. A service company at 98% may instead have repeat work or unrecorded losses. Verify before interpreting it.

How to Improve Conversion Without Cutting Price

Track it first. Most contractors can't tell you their conversion rate because they don't track quote outcomes. Mark every quote as Won, Lost, or Expired. Review monthly.

Measure time-to-quote. From customer request to delivered quote. Set a target. For service work: same business day. For project work: within 3 business days. Track it and hold your sales team accountable.

Follow up at 48 hours. Every quote that hasn't received a response gets a follow-up call or email at 48 hours. Simple and consistent. Measure the impact by comparing decided-quote conversion before and after you start.

Win/loss analysis. For every lost quote over $10K, ask why. Was it price? Timeline? They went with an existing relationship? The patterns will emerge after 10-15 data points.

Track conversion by customer type. You may find, for example, that property management customers convert well above your average (they need the work done) while general contractors convert well below it (competitive bidding). Those are hypotheses to test, not benchmark figures. Knowing your own split helps you allocate estimating time to the highest-probability opportunities. Lead source matters too: calculate decided-quote conversion separately for repeat customers, referrals and third-party lead platforms, and see how win rate varies by lead source for the method.

When Conversion Rate Isn't the Right Metric

Hard-bid public work has structurally low conversion rates, because several qualified bidders compete for one award. Don't mix this into your overall conversion number or it will look terrible. Track it separately.

Design-build and negotiated work should convert well above your competitive-bid rate because you're typically sole-source by the time a formal quote goes out. If it's lower, you're losing deals late in the process, a different problem than competitive bidding.

Emergency service calls usually convert at very high rates because the customer needs the work done immediately. Don't include these in your benchmark or it will inflate your number and hide problems in planned work quotes.

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The Bottom Line

The median contractor wins 73.9% of decided quotes. In the illustrative example, moving from 60% to 85% on the same $5M of decided quotes adds $1.25M in signed work, becoming revenue only as it is delivered under your accounting policy. Check margin and crew capacity before planning that additional work. The fixes aren't complicated: respond faster, follow up consistently, and qualify before you quote.

Track the number. It's a leading indicator of revenue over the next few months, especially when paired with your quoted backlog.

Q: How does Level help improve quote conversion? A: We connect to your field service software and CRM to calculate conversion rates by customer type, job type, and salesperson. We flag quotes that haven't received follow-up, identify which customer segments have the highest close rates, and help you allocate estimating time toward the highest-probability opportunities. The first audit is free.

Q: What data do I need to start tracking this? A: At minimum: quote date, quote amount, and outcome (Won/Lost/Expired). Check whether your field service platform (for example ServiceTitan, Jobber or Housecall Pro) records quote outcomes and dates, and whether lost quotes are marked or simply left open. If you're quoting from spreadsheets, a simple CRM or even a shared Google Sheet works to start.

Q: How does conversion relate to my overall profitability? A: Directly. Higher conversion can mean more signed work when quote value, price and capacity are comparable; revenue follows delivery. But conversion without margin discipline is just busy work. The goal is high conversion at strong margins. If improving conversion requires cutting price, you're solving the wrong problem.