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January 27, 2025 · The Bloomfield Team

Why We Are Obsessed with Response Time

Manufacturers that respond to RFQs within two days win 35% of bids. At five days, that number drops to 12%. The data comes from aggregated quoting platforms that track response time against conversion rate across thousands of job shops. The relationship between speed and win rate is the most consistent finding in manufacturing sales analytics, and most shops have never measured it.

We built Bloomfield's quoting tools around this single insight. Response time is the metric. Everything else follows from it.

Why Speed Beats Price

A purchasing manager at a mid-size OEM sends an RFQ to four shops on Monday morning. They need a quote to present options to their engineering team by Wednesday's production meeting. Two shops respond by Tuesday afternoon. The purchasing manager reviews both quotes, selects one for the shortlist, and presents it Wednesday morning. The engineering team approves. A PO goes out Thursday.

The other two shops deliver their quotes on Friday. Both quotes are within 5% of the winning price. Neither matters. The purchasing decision was made 48 hours before those quotes arrived. The purchasing manager may not even open them. If they do, the quotes go into a file for next time, where they will compete against whoever responds first again.

Speed wins because procurement operates on cycles. The buyer has a timeline. When a shop fits inside that timeline, the quote gets evaluated. When a shop falls outside it, the quote becomes irrelevant regardless of price, quality, or capability. This pattern repeats across aerospace, medical, automotive, and industrial manufacturing. For a deeper analysis of how this affects win rates, see our post on the hidden cost of slow quotes.

What Slows Shops Down

The quoting delay in most job shops is not caused by the estimator being slow. Experienced estimators can assess a drawing and build a routing in 30 to 60 minutes. The delay is caused by the research phase: finding comparable past jobs, verifying current material prices, checking machine availability, and tracking down information that exists somewhere inside the operation but requires manual effort to retrieve.

That research phase consumes 60 to 80% of total quoting time. A quote that takes three days to complete typically involves one hour of actual estimating work and two days of searching, waiting, and cross-referencing data from disconnected sources.

The path to faster quoting runs directly through that research phase. Compress the time between RFQ receipt and the moment the estimator has everything they need to build the quote, and the total cycle drops from days to hours.

Response Time as Competitive Strategy

Most shops think about competition in terms of price, quality, and capability. These factors matter for getting on a customer's approved vendor list. They matter less for winning individual jobs once you are on the list. Once a buyer has qualified three or four shops for a given type of work, the differentiator on any individual RFQ is almost always speed. Who responds first, with a complete and professional quote, wins the work disproportionately.

A shop that systematically quotes in one day when the competition averages four days has a structural advantage that compounds over time. Buyers learn which shops respond quickly. Those shops move to the top of the preferred vendor list. They receive RFQs before competitors do, sometimes exclusively. The speed advantage feeds on itself: more quotes sent, more jobs won, more historical data generated, better future quotes, even faster response times.

The shops that lose in this dynamic are not worse manufacturers. They are slower communicators. Their machines produce excellent parts. Their information systems produce quotes three days too late.

Measuring Your Current State

Pull the last 50 RFQs your team received. For each one, record the date and time the RFQ arrived and the date and time the quote was sent. Calculate the average. If you are above 48 hours, you are losing bids to shops that are faster. If you are above 72 hours, you are losing bids to shops that are faster and those shops are building preferred vendor relationships with your customers while you are still searching for historical job data.

Then look at your win rate by response time. Sort the 50 quotes into two groups: those that went out within 48 hours and those that took longer. Compare the win rates. In nearly every case, the fast-response group wins at two to three times the rate of the slow-response group. That data, from your own quotes to your own customers, makes the case for investing in quoting speed more powerfully than any external benchmark.

What Faster Looks Like

A shop that cuts average response time from four days to one day does not need to work faster. They need the information their estimator requires to arrive before the estimator asks for it. Historical comparables surfaced automatically. Material pricing pulled from recent transactions. Customer history and margin expectations pre-loaded. The estimator opens the RFQ, reviews a prepared context package, and applies their judgment to build a quote in 60 to 90 minutes. That is the system we help manufacturers build.

Response time is the metric. The quoting process is the system. The data your operation already has is the raw material. The shops that put all three together will win the work.