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October 17, 2025 · The Bloomfield Team

A Step-by-Step Guide to Improving Quote Win Rates

The average job shop wins somewhere between 15% and 25% of the quotes it sends out. That means 75 to 85% of the estimating work produces no revenue. Some of that loss is unavoidable. The buyer had a preferred vendor. The job required a capability you do not have. The price point was set before the RFQ went out. But a meaningful portion of lost quotes, typically 30 to 40% of the losses, trace back to factors within your control: speed, accuracy, presentation, and follow-up.

Step 1: Start Tracking What You Are Not Tracking

Before you can improve win rates, you need to know your actual numbers. For every quote, record: date received, date submitted, quoted value, win or loss, and if possible, the reason for the loss. Most ERPs can store this data. Most shops do not enter it consistently.

Track these numbers for 90 days. At the end, you will know your win rate by customer, by job type, by quote value range, and by response time. The patterns that emerge will tell you more about where to focus than any theory.

Step 2: Compress Your Response Time

The data is unambiguous. Faster quotes win more work. A shop that responds in two days wins nearly three times the work of a shop that responds in five. The gap is not about price. It is about timing. Buyers shortlist vendors within 48 to 72 hours of issuing an RFQ. If your quote arrives after the shortlist is set, you are competing for a spot that may already be filled.

Map the steps in your quoting process. Identify where the estimator waits for information. Material pricing that requires an email to a supplier. Machine availability that requires a conversation with the foreman. Historical job data that requires 30 minutes of ERP searching. Each wait point is a target for compression.

Step 3: Build a Quoting Knowledge Base

The fastest estimators are the ones with the best memory. They remember the job they quoted two years ago that looks like this one. They remember the material price from last month. They remember the setup time on that machine for that kind of geometry. The problem with memory-based quoting is that it does not transfer, does not scale, and degrades when the estimator is busy, tired, or gone.

A structured quoting database that an estimator can search by part characteristics, material, tolerance range, and customer provides the same contextual advantage as 20 years of experience, available to anyone on the quoting team. Build it from your existing job records and grow it with every new quote.

Step 4: Analyze Your Losses

When you lose a quote, find out why. Call the buyer. Ask whether you lost on price, lead time, capability, or responsiveness. Most buyers will tell you. The information is valuable because it segments your losses into categories you can act on.

Price losses on commodity work may mean you are quoting work that does not fit your shop's strengths. Lead time losses may point to a scheduling or capacity problem. Responsiveness losses are the easiest to fix and typically the most costly to ignore.

Step 5: Improve Your Quote Presentation

Two quotes arrive at the same time for the same price. One is a single-line email with a number. The other is a structured document that breaks out material, machining, finishing, and inspection, with a clear delivery timeline and payment terms. The second quote wins because it communicates competence. The buyer can see that the shop understood the job, priced each element, and committed to a delivery date with specificity.

Quote format matters more than most shops realize. A professional, consistent quote format takes an afternoon to build and adds zero time to each subsequent quote. The return on that afternoon compounds with every RFQ.

Step 6: Build a Follow-Up Process

Forty percent of quotes are never followed up on. The estimator sends the quote and moves to the next RFQ. The buyer does not respond. Nobody calls. A structured follow-up process, a call or email at the 48-hour mark and another at the one-week mark, recovers work that would otherwise be lost to inertia. The follow-up itself signals professionalism and keeps your shop in the buyer's consideration set.

Step 7: Review and Iterate Monthly

Pull your quoting data monthly. Review win rate trends by customer, job type, and response time. Identify which changes are working and which are not. A 5-point improvement in win rate, from 20% to 25%, on 40 quotes per month at a $15,000 average job value represents $30,000 in additional monthly revenue. That is $360,000 per year from a process improvement that costs nothing beyond attention and discipline.

For a broader look at building a quoting process that compounds these gains, see our guide to AI-powered quoting.