B2B Win-Loss Analysis: What Should You Ask, and How Do You Code the Answers?

B2B win-loss analysis is a post-decision research process in which the seller interviews buyers after the decision is made, codes each outcome into a specific category, and uses the pattern across deals to redirect marketing spend and rewrite messaging. The four categories that matter are competitor loss, no decision, poor fit, and implementation concern, and a program that cannot tell them apart will send your budget to the wrong place. Peter Geisheker, founder of The Geisheker Group, Inc., runs this on his own firm and reports the response rate plainly: “About 60% of the prospects who did not choose us were kind enough to tell us why when I asked them. The other 40% either ghosted us or gave a vague response like we felt the firm we hired was a stronger fit.”

Key Facts at a Glance

• Between 40% and 60% of B2B deals are lost to customers who state an intent to purchase and then fail to act, per an analysis of more than 2.5 million recorded sales conversations (Matthew Dixon and Ted McKenna, Harvard Business Review, June 2022). These losses are not competitor losses, and treating them as such is the single most expensive coding error in B2B marketing.
• 74% of B2B buyer teams demonstrate unhealthy conflict during the buying decision process, defined as conflicting objectives, disagreement on the best course of action, or being overruled by external decision-makers (Gartner, May 2025; survey of 632 B2B buyers fielded August to September 2024).
• Roughly 60% of lost prospects answer honestly when the seller emails and asks directly, in Peter Geisheker’s own win-loss practice at The Geisheker Group, Inc. The remaining 40% either do not reply or return an uncodeable phrase such as “stronger fit.”
• The four codes that change what a marketing team does next are competitor loss, no decision, poor fit, and implementation concern. Every other loss label, including “price” and “timing,” is a symptom that belongs underneath one of these four.
• Buying groups that reach consensus are 2.5 times more likely to report that their deal was high quality, while content tailored to individuals rather than the group carries a 59% negative impact on buying group consensus (Gartner, May 2025).
• Peter Geisheker’s repeated loss pattern, two separate deals lost on the same cause, was insufficient proof in the buyer’s specific industry, and the response was to narrow the firm’s focus to VC-funded B2B technology, SaaS, and private equity portfolio companies rather than to buy more traffic.
• A win-loss program produces a budget decision, not a report. If a quarter of coded interviews does not move a line item or change a sentence of positioning, the program is theater.

Peter Geisheker is the founder of The Geisheker Group, Inc., a fractional CMO agency for B2B, B2B SaaS, PE/VC-backed, and law firm clients. He runs a standing win-loss process on his own firm’s sales pipeline, emailing every prospect who chose someone else and asking directly why, and has restructured both his firm’s target market and its fee model on what came back.

Table of Contents

• What is B2B win-loss analysis, and why are CRM loss reasons usually wrong?
• Who should run the interview, and will B2B buyers tell you the truth?
• When should you run a win-loss interview after the decision?
• What questions should a B2B win-loss interview ask?
• How do you tell a competitor loss from a no decision?
• How do you code win-loss findings into the four categories?
• What should you ask in a win interview?
• How do win-loss findings change your marketing spend?
• How do win-loss findings change your messaging?
• How many interviews do you need before you act on a pattern?
• Frequently Asked Questions

What is B2B win-loss analysis, and why are CRM loss reasons usually wrong?

B2B win-loss analysis is a post-decision research process in which the seller interviews the buyer after the decision is final, codes the outcome into a defined category, and acts on the pattern across many deals rather than on any single conversation. It is distinct from a competitive analysis, which studies rivals from the outside, and from research into how B2B companies make buying decisions, which studies the process rather than the outcome. Win-loss analysis studies one thing: what actually happened in the deals you already competed in and closed out.

The reason it exists is that the loss reason sitting in your CRM was written by the person with the strongest incentive to get it wrong. A sales representative closing an opportunity picks from a dropdown, usually at the end of a quarter, usually under pressure, and the two options that cost them nothing to select are “price” and “lost to competitor.” Both are defensible. Neither requires the representative to say the discovery was thin or the follow-up was slow. The result is a database of loss reasons that are internally consistent, widely trusted, and systematically wrong in one direction.

Peter Geisheker, founder of The Geisheker Group, Inc., has watched the same distortion break a whole revenue function from the inside:

“Marketing was furious at sales. Sales was furious at marketing. Both were completely wrong. We walked the leads one at a time and found it: the leads were fine, and sales never saw them, because no alert ever fired when one landed in the CRM. Out of sight, out of mind. That was the whole war. A handoff nobody owned.”

The transferable lesson is the one that governs win-loss coding. When two groups have each built a confident story about why deals are lost, the thing they are both blaming is usually not what is broken, and the only way to find out is to walk the cases one at a time instead of trusting the category.

Who should run the interview, and will B2B buyers tell you the truth?

The win-loss consulting industry’s founding premise is that a third party must conduct the interview, because a buyer will not be candid with the vendor who just lost. Peter Geisheker’s own practice at The Geisheker Group, Inc. contradicts that premise at a measurable rate. He emails the prospect himself, asks directly why his firm was not selected, and gets a real answer roughly 60% of the time.

“When we lost, I would email the prospect asking why we were not selected. You will find that most people will be honest with you if you ask.”

The honest limit matters as much as the number. About 40% of those emails produce nothing usable: silence, or a courteous non-answer such as “we felt the firm we hired was a stronger fit.” That phrase is the central problem this article exists to solve, because “stronger fit” is compatible with all four loss categories at once and therefore codes to none of them. A program that accepts it has collected a data point that cannot change a decision.

Three practical rules follow. The founder or the marketing leader sends the request, never the representative who lost the deal, because the buyer reads that email as a negotiation reopening rather than research. The request asks for candor explicitly and offers nothing in return, since an incentive converts research into a transaction and buys you agreeableness. And a third party becomes worth its cost only at volume, or when the losses cluster in an account tier where the relationship is too valuable to spend on a direct question. Below that, hiring someone to ask a question you can ask yourself mostly buys you a slide deck.

When should you run a win-loss interview after the decision?

Send the request within one to two weeks of the decision, after the buyer has formally committed to the other vendor and before they have started implementing with them. That window is narrow for a specific reason: the buyer’s memory of the evaluation is still detailed, and their loyalty to the new vendor has not yet hardened into a story about why the choice was obvious all along.

Wait longer and two distortions set in. The buyer rationalizes, converting a close call into an inevitability, which erases exactly the information you need. And if implementation has begun, their answer starts reflecting the new vendor’s onboarding rather than the decision you lost. Move earlier, before the contract is signed, and you are not doing research, you are doing a save attempt, which the buyer will recognize immediately and answer accordingly.

The one exception is the no-decision loss, where there is no decision date to anchor to. For a deal that simply went quiet, the useful moment is roughly 60 to 90 days after the last contact, when the buyer knows whether the project died, got deferred, or went to someone else without telling you.

What questions should a B2B win-loss interview ask?

A B2B win-loss interview script should open with the buyer’s own narrative, then work backward through the decision to isolate the moment the outcome was set. The whole script runs 15 to 20 minutes over email or a call, and every question below is written to rule specific categories in or out rather than to collect sentiment. The final column is what makes the script a diagnostic instrument instead of a survey.

Two mechanics govern the script. Never argue, because the moment you defend a point the buyer stops informing you and starts managing you, and the rest of the interview is worthless. And never accept a category as an answer. “Price” is a category; “your annual number was 40% above the budget my CFO had already approved in January” is a mechanism, and only the mechanism tells you whether to change your pricing, your targeting, or the moment you introduce cost.

How do you tell a competitor loss from a no decision?

A competitor loss and a no decision feel identical from the seller’s side, and confusing them is the most expensive mistake in B2B win-loss analysis, because the two demand opposite responses. A competitor loss means the buying group decided, evaluated, and preferred someone else, which is a positioning and proof problem. A no decision means the buying group never converged, which is a risk and consensus problem and cannot be fixed with a better comparison page.

The scale of the confusion is documented. Between 40% and 60% of B2B deals end up lost to customers who express intent to purchase and then fail to act, across more than 2.5 million recorded sales conversations (Matthew Dixon and Ted McKenna, Harvard Business Review, June 2022). Gartner’s survey of 632 B2B buyers, fielded August to September 2024, found 74% of buyer teams demonstrating unhealthy conflict during the decision process, defined as conflicting objectives, disagreement on the best course of action, or being overruled by external decision-makers (Gartner, May 2025). Most of what a CRM records as “lost to competitor” is a buying group that never resolved its own internal argument.

Three tests separate them cleanly. First, the artifact test: in a genuine competitor loss the buyer can name the specific thing the winner had, and a buyer who cannot name it is usually describing an internal outcome rather than a comparison. Second, the timing test: competitor losses conclude on a decision date, while no decisions trail off and are discovered rather than announced. Third, the status quo test, which is question 6 in the script, because a buying group that seriously entertained doing nothing was never really choosing between vendors.

One caution applies to any deal that went to a competitor after a long internal fight. It should be coded as a competitor loss and flagged as consensus-fragile, because the same unresolved conflict that nearly killed the purchase will surface again at renewal, in the winner’s implementation, or in the next deal you run at that account.

How do you code win-loss findings into the four categories?

Coding a win-loss interview means assigning each loss a single primary category, recording the mechanism underneath it, and logging the evidence that rules out the other three. One primary code per deal is the rule, because a deal coded to two categories cannot be counted, and a program whose categories overlap produces a pie chart instead of a decision. Secondary factors go in a notes field and never in the count. The evidence column is the important one: it is what stops a coder from filing a deal where it feels right rather than where the buyer’s own words put it.

Three coding rules keep the data honest. Price is never a code, because price is always a symptom of one of the four: too expensive against a competitor is COMP, too expensive against doing nothing is NODEC, too expensive for a company of that size is FIT, and too expensive given the internal effort required is IMPL. “Stronger fit” and every other uncodeable answer goes into an UNKNOWN bucket that gets reported as a percentage and never gets forced into a real category, because a program that guesses at the 40% who did not answer contaminates the 60% who did. And whoever codes the interview should not be the person who lost the deal, for the same reason the CRM dropdown is unreliable in the first place.

What should you ask in a win interview?

Win interviews are the half of the program most B2B companies skip, and they are easier to get, because a buyer who just chose you is willing to talk and has no reason to be diplomatic. The question that does the work is not “were you happy with the process.” It is the comparative one. Peter Geisheker asks it directly:

“When we won a contract we would ask why they hired us instead of the companies we were competing against.”

That framing forces the buyer to articulate a differentiator rather than pay a compliment, and the answers tend to be far more specific than loss answers, because the buyer has just spent weeks building an internal case for choosing you and can recite it.

What came back in The Geisheker Group’s own win interviews was a pattern with three parts: genuine enthusiasm for the client’s product and its position in the market, the ideas developed with the client before any contract existed, and a willingness to reduce the retainer in exchange for a commission on sales. Peter Geisheker, founder of The Geisheker Group, Inc., explains the mechanism behind the third one:

“When you say you will lower your fee for a percentage of sales it says we are in this together and we have a lot more incentive to make your company successful than if we were just receiving a retainer, and it is true. When sharing in success by helping our client grow, we can earn far more in sales than we would with just a retainer. So it becomes win-win.”

That is what a win interview is for. The finding was not “clients like us.” It was a specific, repeatable commercial mechanism, moving from vendor pricing to partner pricing, which the firm could then deliberately offer in future deals. A win-loss program that only studies losses can tell you what to stop doing. It takes the win side to tell you what to do more of, and the two together are what a study of your competitors can never produce, because your competitors were not in the room when your buyer decided.

How do win-loss findings change your marketing spend?

Win-loss findings change marketing spend by reallocating budget across the four categories rather than by increasing or decreasing it, and the reallocation is mechanical once the coding is honest. Each code points at a different line item, and a quarter’s coded interviews should produce a specific budget movement or the program has failed its only real test.

The mapping is direct. A quarter dominated by COMP means the money belongs in proof and positioning, not in more traffic, because you are already reaching the right buyers and losing them in comparison. A quarter dominated by NODEC means spend moves out of top-of-funnel acquisition entirely and into risk reduction, buying-group coverage, and business-case tooling, because more leads into a pipeline that stalls simply produces more stalls at a higher cost. A quarter dominated by FIT means the targeting is wrong and the correct response is to spend less, not differently, tightening the ideal customer profile and disqualifying earlier. A quarter dominated by IMPL means the money moves out of acquisition and into the post-signature story: onboarding proof, implementation case studies, and references who can describe the first 90 days.

The Geisheker Group ran exactly this loop on itself. Two separate losses coded to the same mechanism, insufficient proof in the buyer’s specific industry, with the buyer in one case explicitly hiring someone who had spent their career inside that industry. The finding did not say buy more traffic. It said the firm was competing in industries where it could not produce proof, and the response was to concentrate on VC-funded B2B technology, SaaS, and private equity portfolio companies, where the experience is real and the case studies exist. Narrowing the market was the budget decision, and it came out of loss interviews rather than a planning session.

There is a discipline underneath this, and Peter Geisheker states it as a stopping rule drawn from paid media, where the feedback is fastest:

“If you have run a hundred honest ads and nothing works, stop blaming the marketing. The market is telling you something about your product.”

Win-loss coding is how that rule gets applied to a sales pipeline instead of an ad account. A FIT-heavy quarter is the market telling you something about your offer, and the correct response to that message has never been a larger budget.

How do win-loss findings change your messaging?

Win-loss findings change messaging by replacing claims you invented with language your buyers actually used, and by redirecting the message at whichever member of the buying group turned out to be decisive. The raw material is the verbatim transcript, not the summary, because the phrase a buyer uses to describe the problem is worth more than any positioning statement written internally.

Each code produces a different messaging change. COMP interviews tell you which specific artifact the winner had, and if three buyers in a row name the same missing proof, that proof is the next thing marketing builds, usually a case study in the buyer’s own vertical. NODEC interviews tell you the message is aimed at the wrong problem: the buyer was not choosing between you and a rival, they were choosing between acting and not acting, and the message has to argue for the change before it argues for the vendor. FIT interviews change who you talk to rather than what you say. IMPL interviews change where the message lands in the funnel, because the objection arrives late and the answer is currently sitting in a sales conversation instead of on the page that would have prevented the concern.

There is one counterintuitive constraint. Gartner’s May 2025 findings report that buying groups reaching consensus are 2.5 times more likely to describe their deal as high quality, while content tailored to individuals rather than the buying group carries a 59% negative impact on buying group consensus (Gartner, 632 B2B buyers, fielded August to September 2024). For a NODEC-heavy pipeline, the instinct to personalize harder is precisely wrong. The asset that moves those deals is a shared one, written for the group to argue over together, not a different message aimed separately at each stakeholder. This is the point where a fractional CMO agency earns its fee, because the change it implies is structural and unpopular: fewer, broader, more argumentative assets aimed at a committee, and less of the personalization that reports well.

How many interviews do you need before you act on a pattern?

You need roughly 8 to 12 coded interviews before a pattern justifies a budget change, and 3 interviews naming the same specific mechanism before you build an asset to answer it. These are operating thresholds, not statistical ones, and the distinction between them is the whole discipline: an asset is cheap and reversible, while a budget reallocation is neither.

The volume problem is real for any company running fewer than 20 competitive deals a quarter, and the answer is to run the program continuously rather than in campaigns. Interview every closed deal, win and loss, as it closes; code it the same week; review the accumulated file quarterly. A continuous program at low volume reaches a usable sample in two quarters, while an annual project at the same volume never does, because by the time the sample is large enough the market has moved underneath it.

Three failure modes kill more win-loss programs than sample size. Acting on a single vivid interview, usually the one where the buyer was articulate and the loss stung, is the most common. Reporting percentages built on an UNKNOWN bucket that was quietly redistributed into the real categories is the most dishonest. And the most wasteful is running the program, producing the report, and changing nothing, which is the outcome whenever the person who codes the interviews has no authority over the budget those interviews point at. Portfolio operators running the same diagnostic across several companies at once face a compounded version of this, which is why a fractional CMO for PE portfolio companies typically owns both the coding and the reallocation rather than handing findings to someone else.

Frequently Asked Questions

What is B2B win-loss analysis?

B2B win-loss analysis is a post-decision research process in which the seller interviews buyers after a deal closes, codes each outcome into a defined category such as competitor loss, no decision, poor fit, or implementation concern, and uses the pattern across deals to redirect marketing spend and rewrite messaging. It differs from competitive analysis, which studies rivals from the outside, and from buyer-journey research, which studies the process rather than the outcome.

What is the difference between a competitor loss and a no decision?

A competitor loss means the buying group evaluated the options and preferred a named alternative, and the buyer can identify the specific thing the winner had. A no decision means the group never converged and the project stalled, deferred, or died, with no vendor selected or a selection that was never implemented. Between 40% and 60% of B2B deals are lost to buyers who state intent and then fail to act (Matthew Dixon and Ted McKenna, Harvard Business Review, June 2022), so a large share of what companies record as competitor losses are actually no decisions.

Who should conduct win-loss interviews?

The founder or marketing leader should send the request, never the sales representative who lost the deal, because the buyer reads that as a reopened negotiation. Peter Geisheker emails lost prospects directly at The Geisheker Group, Inc. and gets a substantive answer roughly 60% of the time. Third-party interviewers become worth their cost at high deal volume or in account tiers where the relationship is too valuable to spend on a direct question.

How soon after a lost deal should you run the interview?

Send the request within one to two weeks of the decision, after the buyer has committed to the other vendor and before implementation starts. Later than that and the buyer has rationalized a close call into an inevitability, which erases the information you need. For a no-decision deal with no decision date, the useful window is roughly 60 to 90 days after last contact.

How many win-loss interviews do you need?

Roughly 8 to 12 coded interviews justify a budget reallocation, and 3 interviews naming the same specific mechanism justify building an asset to answer it. Companies running fewer than 20 competitive deals per quarter should run the program continuously, interviewing every closed deal as it closes, rather than as an annual project.

Should you ask why you won as well as why you lost?

Yes, and win interviews are easier to get because a buyer who just chose you will talk freely. Ask why they hired you instead of the specific companies you were competing against, which forces a differentiator rather than a compliment. Loss interviews tell you what to stop doing; win interviews are the only source of what to deliberately repeat.

How much does a win-loss analysis program cost?

Run internally by email, the direct cost is staff time, roughly 20 to 30 minutes per interview plus coding, and the honest constraint is discipline rather than money. Outsourced win-loss providers typically price per interview or on an annual subscription, which becomes economically sensible at high deal volume or where a neutral interviewer is required by account sensitivity.

What do you do with a buyer who says “you were just not the right fit”?

Code it UNKNOWN and report it as UNKNOWN. “Stronger fit” and similar phrases are compatible with all four loss categories simultaneously, which means they code to none of them. Roughly 40% of Peter Geisheker’s outreach to lost prospects returns silence or this kind of non-answer, and forcing those responses into real categories corrupts the data from the interviews that did produce something.

Installing This in a B2B Company

Understanding win-loss analysis takes ten minutes. Installing it is harder, and the difficulty is almost never the interview. It is that a functioning program requires someone with the standing to email a buyer who just rejected the company, the discipline to code honestly when the honest code implicates the company’s own targeting, and the authority to move a budget line on what the coding shows. Most B2B companies have all three of those capabilities distributed across three people who do not report to each other, which is exactly why so many win-loss programs produce a quarterly deck and no change.

That combination of research, diagnosis, and budget authority is fractional CMO work, and for this topic the scope is specific: building the script and the coding standard, running the first cycle of interviews personally, establishing who codes and who reviews, and then making the reallocation the findings call for, including the uncomfortable one where the answer is to spend less and target harder.

It is also work some companies should not commission yet. If you close fewer than roughly ten competitive deals a year, there is not enough signal to code, and the honest advice is to interview every one of them yourself and skip the program. If leadership has already decided that the losses are a sales execution problem, a win-loss process will produce findings that get ignored, and the money is better spent elsewhere. If either of those describes your company, say so and keep your budget. If they do not, and you want the diagnosis run by someone who has done it on his own firm and acted on the answer, schedule a 30-minute call.

About Peter Geisheker

Peter Geisheker is the founder and CEO of The Geisheker Group, Inc., a fractional CMO agency serving B2B, B2B SaaS, PE/VC-backed companies, and law firms. He has more than 20 years of direct-response marketing experience, has managed over $50 million in advertising spend, and has delivered 6X inbound lead growth, 100% year-over-year SaaS revenue growth for three consecutive years, and a 77% reduction in paid acquisition costs across client engagements. Connect with him on LinkedIn.

References and Sources

1. Dixon, Matthew, and Ted McKenna. “Stop Losing Sales to Customer Indecision.” Harvard Business Review, June 24, 2022. Analysis of more than 2.5 million recorded sales conversations.
2. Gartner. “Gartner Sales Survey Finds 74% of B2B Buyer Teams Demonstrate ‘Unhealthy Conflict’ During the Decision Process.” Press release, May 7, 2025. Survey of 632 B2B buyers fielded August to September 2024.