IGrowth & StrategyGuide

Analyzing Lost Deals: Win-Loss Analysis for Small Sales Teams

Every lost quote contains information you cannot buy anywhere: why a customer decided against you. Most businesses leave it lying around. A simple three-level analysis turns it into improvements.

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Photo: Shannon Potter / Unsplash

Key takeaways

  • A win-loss analysis reviews won and lost quotes to find patterns. For small teams, three levels are enough.
  • The reason a salesperson records is their view. Only a short conversation with the customer shows whether it is right.
  • Won deals belong in the analysis. Only if you know why you win can you repeat it.
  • Every quarter ends with exactly one action. An analysis without consequences is filing.

Why do so few businesses know why they lose deals?

A quote is lost. The team says: “Too expensive, as always.” The case is closed and the next quote goes out. After a year the business may have lost forty quotes and knows nothing more about any of them than that one sentence.

There are understandable reasons for this. A rejection is unpleasant, nobody likes calling the customer to ask why. And in daily business, the next inquiry is always waiting. The result is a blind spot exactly where a business could learn the most.

A win-loss analysis is the systematic review of won and lost quotes. It asks why customers chose for or against you and looks for patterns across many cases. Large companies hire market researchers for it. A small team needs a list, a short conversation, and one appointment per quarter. Put simply, the question is: how can a small business find out, with little effort, why it loses deals? To answer it, we first show what such a review can achieve, then go through the three levels of the review, and finish with common mistakes and a plan for this week.

If you do not understand your rejections, you pay for them again and again.

What does a win-loss analysis achieve? An example from research

Surdziel and Gdowska (2026) described in a case study how a mid-sized Polish IT consulting firm put its presales process in order. The process had grown informally over years, responsibilities were unclear, and there were no metrics. The researchers conducted twelve interviews and two workshops with sales, engineering, finance, and project delivery. Among the simple tools introduced afterward was a form for reviewing won and lost quotes. According to their description, it supported coordination, learning, and oversight.

about 25%Win rate of quotes before the change, estimated from several sources
14 daysAverage time to respond to an inquiry
≥ 35%New target for the win rate
≤ 10 daysNew target for response time

Source: Surdziel and Gdowska (2026)

Notably, the baseline values first had to be estimated because nobody had collected them before. The study describes a single case and reports early outcomes, not a measured improvement in the win rate. But it shows that even a simple form creates structure in a business without sophisticated technology.

CRM data can also be used once it is maintained. Dudeja, Dixit, and Choudhary (2019) analyzed the CRM data of an Indian instrumentation supplier, including the person responsible, location, competitor, lead source, contribution margin, and revenue. They concluded that the probability of an order could be predicted from this and that factors influencing wins and losses could be identified. The company withheld details. For a small business, the core transfers: if you maintain the same few fields for every quote, you can find patterns later.

The Three-Level Review: win-loss for small teams

The Three-Level Review is the mental model of this article. It divides the work so that it lasts in a small team. The first level costs a minute per quote, the second a quarter of an hour per selected case, the third an hour per quarter.

The Three-Level Review: what, when, how long
LevelWhat happensFor which quotesEffort
1. Capture the reasonNote one of five fixed reasons and one sentenceEvery decided quote, won or lost1 minute
2. Ask the customerShort conversation with five questionsImportant losses and selected wins, about two a month15 minutes
3. Review patternsCount reasons, read conversations, decide one actionAll cases of the quarter1 hour per quarter

Level 1: Which loss reasons do I capture?

For the first level you need a fixed list of reasons. Free text alone cannot be counted. Five reasons are enough and are the same as in the guide pipeline management for mid-sized companies: price, timing, competitor, no need, no answer. Add one sentence of free text that makes the reason concrete.

Loss reasons of an example business in one quarter, number of lost quotes
  • No answer9 quotes
  • Price7 quotes
  • Timing5 quotes
  • Competitor4 quotes
  • No need3 quotes

Worked example with freely chosen numbers: 28 lost quotes in one quarter.

In the example, the most frequent reason is not price but silence. Nine quotes ended without any response. That is not a loss to the competition but to your own process: an agreed follow-up date was missing. How to change that is shown in the guide quotes that win.

Capture a reason for won quotes as well. Why did the customer choose you? Speed, referral, expertise, price? Wins are just as instructive as losses. If you only review rejections, you end up knowing what not to do, but not what to do more often.

Level 2: How do I ask customers why they said no?

The reasons a salesperson records are their view. They are not wrong, but colored. People like to explain failures with causes they cannot influence, and price is the most convenient of these. Johnston and Kim (1994) showed in several studies with salespeople that the way salespeople explain their success or failure can raise or lower their expectation of future success. If you consider a loss uncontrollable, you have little reason to change anything.

That is why a direct conversation with the customer is worthwhile. It should be short, take place without sales intent, and, where possible, be conducted by someone who did not fight for the order personally. In small businesses that is often the owner, for quotes handled by an employee.

  1. “What tipped the balance in your decision in the end?”
  2. “What would we have had to do differently for you to choose us?”
  3. “How did you perceive our quote compared with the others?”
  4. “Was there a moment when you had doubts?”
  5. “May we get back in touch in six months?”

That asking alone can move something is suggested by a field experiment by Kaul, Anderson, Chintagunta, and colleagues (2025). Small shops in Rwanda were randomly selected over two years to seek feedback from some of their customers. The shops that did so increased revenue and profit considerably compared with the control group. Even customers who had not been asked bought more. The authors attribute this to the shops turning the feedback into concrete changes. The setting differs greatly from a German B2B business; the mechanism does not: feedback works through the changes that follow from it.

Level 3: How do I review the reasons each quarter?

Once a quarter you take an hour, ideally with the people who write quotes. The review always follows the same sequence. It ends with exactly one action for the next quarter.

  1. Count

    How often did each reason occur, for losses and for wins? Has the distribution changed compared with last quarter?

  2. Compare

    Put the salespeople’s view next to the answers from customer conversations. Where do they differ?

  3. Look for the cause

    Take the most frequent avoidable reason and ask at which point in the process it arises: qualification, quote, follow-up?

  4. Decide one action

    Define one change with an owner and a deadline. Not three, one.

  5. Check next quarter

    Has the reason decreased? If so, next reason. If not, adjust the action.

The review as a blame session and as a learning round

Blame session

  • Who lost the quote?
  • The competitor was just cheaper.
  • The customer didn’t know what they wanted.
  • Result: justifications

Learning round

  • At which point in the process did it happen?
  • What did the customer see in the winner?
  • Which question should we have asked earlier?
  • Result: one action with a deadline

The tone decides whether the round works. If it looks for culprits, the recorded reasons will be embellished next time. How to learn from failures without looking for culprits is described in the essay learning from bad decisions. The review fits well into an existing meeting, for example as a quarterly topic in the weekly sales meeting.

Which mistakes make a win-loss analysis worthless?

  • Reasons are captured only for losses, not for wins.
  • There is only free text, so nothing can be counted.
  • The reason is entered weeks later from memory.
  • Every loss conversation turns into a new sales attempt.
  • The review ends with a list of ten actions, none of which is implemented.
  • The results are used to evaluate individual salespeople.

For reasons to remain countable, they must be captured cleanly. Which rules make a team maintain its data is shown in the guide CRM data quality. And if the review shows that a reason keeps arising at the same point, the sales bottleneck analysis helps with the next step.

What you can put into practice right away

The first level can be in place within a week. Everything else grows from it.

  1. Monday: Add a required reason field with the five fixed values and a field for one sentence of free text to your quote list or CRM.
  2. Tuesday: Fill in the reasons for decided quotes of the last three months as far as you still know them, and mark where you have to guess.
  3. Wednesday: Select two lost quotes and one won quote and arrange short conversations with the customers.
  4. Thursday: Hold the conversations using the five questions and write down the answers verbatim.
  5. Friday: Schedule the first quarterly review and invite the team.

After the first quarter, you have figures instead of assumptions for the first time. The first review is often surprising: price is the reason less often than thought, and the most frequent cause lies in your own process. That is where it can be fixed.

In short: a small business learns why it loses deals when it records every reason in fixed categories, briefly asks some customers, and reviews the reasons together once a quarter. This requires no market research, but it does require regularity. Each review leads to exactly one action, and only that action makes the analysis worthwhile.

Frequently asked questions

What is a win-loss analysis?

A win-loss analysis systematically reviews won and lost quotes to understand why customers decide for or against a supplier. It combines the reasons recorded by sales with conversations with customers. The aim is to spot patterns and derive concrete changes from them.

How do I ask a customer why they said no?

Announce a short conversation without sales intent and ask what tipped the balance and what you should have done differently. Listen without defending yourself and write down the answers. Ideally the conversation is led by someone who did not fight for the order personally.

Which loss reasons should I capture?

Five fixed reasons are enough to start: price, timing, competitor, no need, and no answer. Add one sentence of free text that makes the reason concrete. Also record why the customer chose you for won quotes.

How often should you analyze lost deals?

Capture the reason immediately for every decided quote. Reviewing the patterns is worthwhile once a quarter. With very few quotes, combine two quarters so that chance does not decide.

Why do customers so often say we are too expensive?

“Too expensive” is the easiest rejection and spares both sides an awkward conversation. Often it means the benefit was not clear enough or a competitor addressed the problem better. A targeted question in the review conversation often clarifies this.

Sources

  1. Surdziel, M.; Gdowska, K. (2026): From Process Drift to Shared Ownership in a BPM Case Study of Presales Transformation in an IT Consulting SME. Research on Enterprise in Modern Economy (REME): Theory & Practice, 1(42), 5-20.
  2. Dudeja, S.; Dixit, R.; Choudhary, S. (2019): A Predictive Analytical Study on Factors Enhancing Customer Acquisition and Retention. Review of Professional Management, 17(1), 38-45.
  3. Johnston, W. J.; Kim, K. (1994): Performance, attribution, and expectancy linkages in personal selling. Journal of Marketing, 58(4), 68.
  4. Kaul, R.; Anderson, S. J.; Chintagunta, P. K. et al. (2025): Call Me Maybe: Does Customer Feedback Seeking Impact Nonsolicited Customers? Marketing Science, 44(1), 129-154.

All sources in the knowledge base

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