Quote win rate is the share of your quotes that become orders, counted both by number and by value. Buyers go quiet after a quote for a handful of reasons: someone answered first, the price or lead time did not fit, the quote was only a budget check, the project stopped, or ordering looked like too much work. They rarely tell you which, so you measure what you can: response time, where in the funnel buyers leave, and win rate by process, material, quantity and customer.
Key points
- Win rate = quotes won ÷ quotes sent. Count it by value too: winning small quotes and losing large ones looks fine by count.
- Close a period only after its quotes have expired, or the rate will look worse than it is.
- Silence is data. Most lost quotes are lost to speed, fit or a project that stopped, not to an argument about price.
- Measure the funnel: uploads, priced, configured, saved, ordered. Where buyers leave tells you why.
- A very high win rate is a warning too: you may be the cheapest shop they asked.
How do you calculate quote win rate?
Two ratios, over the same period:
- By count: quotes that became orders ÷ quotes sent.
- By value: value of the orders won ÷ value of the quotes sent.
Three rules keep the number honest. Count a quote once, however many times it was revised. Decide what a quote is: for a request by e-mail it is the price you sent back; for an instant quote it is the first time a buyer saw a price for a file, not every option they clicked. And close a period only after its quotes have passed their quote validity, because a quote sent last week may still be won next week.
Worked example: one month of quotes (figures assumed for illustration)
| Measure | Count | Value |
|---|---|---|
| Quotes sent | 120 | €48,000 |
| Orders won | 30 | €7,200 |
| Win rate | 25 % | 15 % |
By count, one quote in four becomes an order. By value, only 15 % does. In this example the shop wins small jobs and loses large ones, which is a different problem from losing everything. The next question is which large ones, and why.
Why do buyers go quiet after a quote?
Most never say. The reasons below are the common ones; the right-hand column is what each would look like in your data.
| Reason | What happened | What you would see |
|---|---|---|
| Someone answered first | The buyer sent the file to several shops and ordered from the first credible reply | Lower win rate on quotes that took longer to send |
| Price | Your price was above what they had already been offered | Lost quotes concentrated in one process or material; buyers leave right after the price appears |
| Lead time | The date did not meet their deadline | Losses cluster on urgent requests; express options chosen often when offered |
| Budget check | The quote was one of several gathered for a budget or approval | Many quotes from one company, few orders, sometimes a large order months later |
| Project stopped | The design changed or the project was cancelled | Revised files for the same part arrive later, or nothing at all |
| Unclear quote | The buyer could not tell what the price assumed | Questions by e-mail before orders; lost quotes with unusual options |
| Too hard to order | No clear next step, a minimum they did not expect, a form too long | Buyers leave after saving the quote, or at the order form |
| Manufacturability | The part needs a change they did not want to make | Losses on quotes that carried a warning |
You cannot read a buyer’s mind, but you can make each of these visible. That is what the rest of this article is about.
What should you measure?
Time to quote
The single most useful number for a shop that quotes by hand: the time from a request arriving to a price going back. Record it for every quote and compare win rate across bands (within an hour, the same day, the next day, later). If the slow quotes win less often, speed is costing you orders. The RFQ process article covers where the hours go, and the cost of a slow quote works through the arithmetic.
The funnel, for instant quotes
An instant quote lets you see what a buyer did before they left, which an e-mail never could.
| Stage | Question it answers |
|---|---|
| File uploaded | How many people tried? |
| Price shown | Did the file analyse cleanly, or did it fail or need review? |
| Options changed | Did they explore material, quantity, lead time? |
| Quote saved or shared | Did they take it to someone else to approve? |
| Order placed | Did they buy? |
A big drop between upload and price points at files or limits. A drop right after the price appears points at price. Many saved quotes and few orders point at approval cycles, or at an ordering step that asks too much. The analytics page shows one way to lay this out.
Win rate by segment
The overall rate hides everything interesting. Split it by:
- Process and material: you may be competitive in one and expensive in another.
- Quantity: losing at high quantities often means your quantity breaks are too shallow.
- Lead time chosen: if express quotes win and standard ones do not, your standard lead time is too long; see lead-time pricing.
- Customer type and history: repeat customers should win far more often than first-time ones. If they do not, something changed.
- Order size: losses just under your minimum order value suggest buyers were surprised by it.
Lost reasons
When you do hear back, record why, from a short fixed list (price, lead time, went elsewhere, project stopped, design changed, no reply). Over months the list turns anecdotes into a pattern.
How long should a quote stay valid?
Long enough for the buyer’s approval cycle, short enough that your material prices and capacity still hold. Many business buyers need a few days to a few weeks to get a purchase order signed, so a quote that expires in 48 hours forces them to ask again, and some will ask someone else instead. A quote that never expires commits you to last year’s prices. State the quote validity on every quote, use the expiry date as the natural moment to follow up, and count a quote as lost only once it has passed. If many orders arrive just after expiry, the period is too short.
What does a very high win rate mean?
Not always good news. If almost every quote becomes an order, you may be the cheapest shop your buyers asked, and the money you left on the table never shows up in any report. Check your margin on won jobs, and try a small price rise on one process. If the win rate barely moves, the old price was too low.
How do you raise a win rate without cutting prices?
- Answer faster. For routine parts an instant quote answers in seconds; for the rest, acknowledge the request within the hour with a date for the price.
- State the assumptions. Material, layer height, finish, tolerances, quantity. A buyer comparing two quotes needs to see they price the same thing.
- Show the quantity curve. A buyer who sees that ten cost little more than five often orders ten.
- Flag problems early. A thin wall shown with the price is advice; found after printing, it is a refund.
- Make ordering easy. One clear next step, a known minimum, a saved quote they can come back to.
- Follow up before expiry. One short message: does anything need to change?
For the method behind a good quote in the first place, see how to quote manufacturing parts, and for the channels these quotes arrive through, selling manufacturing services online. The glossary entry on win rate has the short definition.
Questions people ask
How do you calculate quote win rate?
Divide the number of quotes that became orders by the number of quotes sent in the same period, and do the same by value: the value of orders won divided by the value of quotes sent. Count each quote once, however many revisions it had, and wait until quotes have expired before closing the period, or recent quotes will drag the rate down.
What is a good quote win rate?
There is no universal figure, because it depends on how many shops each buyer asks, how many of your quotes are budget checks and what you count as a quote. Compare yourself with yourself: by process, material, quantity, customer and response time. A rate that is very high across the board can mean your prices are too low.
Why do buyers stop replying after a quote?
Common reasons are that another shop answered first, the price or lead time did not fit, the quote was one of several used for a budget, the project was cancelled or delayed, the quote left something unclear, or ordering looked like more work than it was worth. Most buyers never say which, so the reasons have to be inferred from what you can measure.
Should I follow up on every quote?
Follow up on quotes above a value you choose, and on every quote for a customer you want to keep. A short message before the quote expires, asking whether anything needs to change, recovers some orders and tells you why others were lost. Record the answer as a lost reason, so the pattern becomes visible over months.
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