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Vendor Research Report

Win-Loss Analysis Software: 2026 Vendor Comparison Report

6 vendors. 70 requirements. Where the win-loss analysis market leads, where it falls short, and the must-have framework that reorders the rankings.

Win-Loss AnalysisVendor ComparisonB2B Software2026
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What Is Win-Loss Analysis Software?

Win-loss analysis software is the category revenue teams use to answer the only question that actually moves the forecast: why did we win, and why did we lose? The platforms in this category capture buyer feedback from won, lost, and churned deals, analyze it for patterns across competitors, pricing, messaging, and sales execution, and push the resulting insight into sales coaching, product strategy, and competitive positioning.

Klue leads on overall score and on the must-have framework. Rankings below.

Rankings at a Glance — Overall Score (0–10)
6.00
5.36
3.93
2.36

The category goes by several names — win-loss analysis software, win-loss analysis tools, win-loss analysis platform, sales win-loss analysis, competitive win-loss analysis, deal loss analysis tools. Vendors differ less on category definition and more on which part of the win-loss workflow each platform invests in: capture, analysis, or activation.

What These Platforms Do

Three foundational capabilities define a genuine win-loss analysis platform: buyer feedback capture (interviews, surveys, rep debriefs, CRM-triggered capture across won, lost, and churned deals), analysis and insight extraction (AI theme detection, reason coding, competitive intelligence extraction, sentiment and trend analysis), and sales enablement and action (closed-loop rep coaching, deal-level insight, messaging guidance, battlecard activation). The other six categories in this evaluation — competitive content output, reporting, CRM integration, program management, data quality, pricing — are important differentiators, but they are not what defines the category.

Why It Matters Now

B2B win rates are under structural pressure. Ebsta's 2024 B2B Sales Benchmarks, based on 4.2 million opportunities and $54 billion in pipeline, show enterprise win rates dropped from roughly 26% to 17% through 2023 as buying committees expanded and economic conditions tightened. Salesmotion's 2026 benchmark puts the current B2B average at 21%, with $100K+ enterprise deals posting median win rates of just 15%. Which means for every deal a typical B2B team wins, four are walking — and most sellers can give you a gut-feel reason for the loss but not a pattern.

Gartner analyst Todd Berkowitz has documented the upside in the other direction: organizations running formal, rigorous win-loss programs see 15–30% revenue increases and up to 50% improvement in win rates. That's the business case for this category. Turning buyer feedback into operational win-rate lift is the job these platforms exist to do.

Where the Category Is Heading

Gartner's April 2025 Market Guide for Win/Loss Analysis Solutions frames the category candidly: "at its core, this is largely a service-led market — supported by software." Translation: the tool without the methodology is thin. The vendors that matter are the ones whose software and research services work together, not the ones selling a dashboard and hoping the buyer figures out interview technique on their own.

That framing explains the scoring pattern visible in this evaluation. Data Quality & Methodology — the category that measures bias reduction, third-party neutrality, response rate optimization, and audit trails — averages just 2.26 across the six vendors. Two vendors score 0.00. The service-led half of Gartner's framing is where the platforms are thinnest, and it is what determines whether the insights the buyer eventually acts on are trustworthy.


How This Was Evaluated

This report scores 6 vendors against 70 requirements across 9 capability categories. The methodology is a partnership: Proofmap defined the requirements — calibrated for how revenue operations, product marketing, and CI teams actually evaluate win-loss programs, what buying committees ask about, and what gaps surface once a program is live. Olive provided the scoring infrastructure and vendor research data.

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Structured to the requirements defined for this report.

The Must-Have Framework

Not every requirement category carries equal weight in defining whether a tool genuinely belongs in this category. Proofmap separates capabilities into two designations and references the distinction throughout the analysis below.

Must-have categories are foundational. To qualify as a win-loss analysis platform, a tool must demonstrate meaningful capability in Buyer Feedback Capture, Analysis & Insight Extraction, and Sales Enablement & Action — the Olive research itself names these as the three critical dimensions for the category. Differentiator categories add real value but do not define the category: Competitive Intelligence Output, Reporting & Stakeholder Distribution, CRM & Tech Stack Integration, Program Management & Scalability, Data Quality & Methodology, and Pricing & Time to Value.

Categories at a Glance

Must-Have
Buyer Feedback Capture
Interviews, surveys, rep debriefs, CRM-triggered capture, multi-stakeholder coverage, third-party neutrality.
Must-Have
Analysis & Insight Extraction
AI theme detection, reason coding, sentiment, quote extraction, trend and segment analysis.
Must-Have
Sales Enablement & Action
Closed-loop rep coaching, deal-level insight, messaging guidance, battlecard activation, win-back surfacing.
Differentiator
Competitive Intelligence Output
Battlecards, head-to-head win rate, competitor profiles, feature-gap mapping, pricing and packaging intel.
Differentiator
Reporting & Stakeholder Distribution
Exec dashboards, segment/rep/region rollups, automated distribution, longitudinal quarter-over-quarter reporting.
Differentiator
CRM & Tech Stack Integration
CRM sync, bi-directional data flow, enablement platform connectors, Slack/Teams alerts, API access.
Differentiator
Program Management & Scalability
Managed interviewer services, pilot-to-enterprise scaling, role-based access, program health tracking.
Differentiator
Data Quality & Methodology
Methodology transparency, bias reduction, response rate optimization, consent tracking, audit trails.
Differentiator
Pricing & Time to Value
Published pricing, contract flexibility, free pilots, time to first insight, cost scalability.
Scoring & methodology fine print: Each requirement is scored on a 0/5/10 scale (10 = core feature, 5 = partial or available-through-configuration, 0 = not yet confirmed as supported). A score of 0 means either the vendor does not perform in that category, or the vendor has not yet provided public evidence of capability — limited vendor responses, no documented coverage in available materials, or no surfaced product information confirming the requirement. In either case, a direct sales conversation with the vendor may be required to fully validate the score. Category averages and overall composites are arithmetic means within each scope. Must-have averages cover the three foundational categories: Buyer Feedback Capture, Analysis & Insight Extraction, and Sales Enablement & Action. Risk scores (0–100) express the proportion of requirements scored 0 out of 70. Findings derived from opt-in, anonymized, and aggregated client evaluations and Olive research. Scores reflect vendor capability as of Q2 2026 and should be treated as a structured starting point for buyer evaluation, not as a substitute for hands-on validation against your specific operational requirements.

Rankings Overview & Capability Heat Map

Two patterns surface immediately. First, this is a stratified market — a clear leader (Klue, 6.00), a strong second (Clozd, 5.36), a nearly two-point gap, and four vendors clustered between 2.36 and 3.93. Second, the strengths cluster. Every vendor except User Intuition posts its highest single-category score on Competitive Intelligence Output or Sales Enablement & Action — the outputs that touch sales directly. The categories that get thinnest across the field are Program Management & Scalability, Data Quality & Methodology, and Pricing & Time to Value — the operational and methodological underpinnings.

Capability Heat Map — Score by Category (★ = Must-Have)
Capture ★Analysis ★Enablement ★CI OutputReportingIntegrationProgram MgmtData QualityPricing
Klue5.507.009.2910.006.435.632.862.863.33
Clozd6.007.507.148.135.713.752.864.290.83
Crayon2.504.005.718.755.005.002.140.001.67
User Intuition3.503.502.861.252.861.252.864.295.83
Corporate Visions4.501.508.575.002.141.251.430.000.83
Winxtra2.004.004.292.502.860.632.142.140.00

Klue leads on overall score and on the must-have framework. But the framework reorders the middle of the field — Corporate Visions jumps from 5th overall to 3rd on must-haves, and User Intuition drops from 4th to last. The next section works through why.


Individual Vendor Profiles

Each profile below opens with a stat strip (Overall, Tier, Must-Have, Differentiator, Gaps, Risk), followed by a one-line best-fit summary and four short editorial sections. The radar chart below shows how the top four vendors compare across all nine capability categories.

Vendor Radar — Top 4 Across All 9 Categories (★ = Must-Have)
Capture ★Analysis ★Enablement ★CI OutputReportingIntegrationProgram MgmtData QualityPricing
Klue (6.00)
Clozd (5.36)
Crayon (3.93)
User Intuition (3.07)

Klue and Clozd share a similar capability shape; Crayon leans heavily toward competitive content; User Intuition trades function for accessibility.

Klue

Overall
6.00
Tier
Leader
Must-Have
7.26
Differentiator
5.19
Gaps
23/70
Risk
32.86
Best For Sales-led organizations where the primary objective is operationalizing competitive and win-loss intelligence directly inside the deal cycle — battlecards, rep coaching, deal-level insight delivered into the seller's workflow.
Strength

Klue posts the only perfect 10.00 in this evaluation — Competitive Intelligence Output — and pairs it with best-in-class Sales Enablement & Action (9.29). It also leads on CRM & Tech Stack Integration (5.63) and Reporting & Stakeholder Distribution (6.43). The platform is engineered to translate intelligence into revenue-moving sales activity.

Must-Have Coverage

On must-haves, Klue ranks 1st at 7.26. Buyer Feedback Capture (5.50) is solid, Analysis & Insight Extraction (7.00) is strong, and Sales Enablement (9.29) anchors the score. No other vendor posts a must-have average above 7.00.

Differentiator Profile

Differentiator coverage at 5.19 is the strongest in the field. Competitive Intelligence (10.00), Reporting (6.43), and CRM Integration (5.63) are all #1 in their categories. The weaknesses are concentrated: Program Management (2.86), Data Quality (2.86), and Pricing transparency (3.33) all land in the 3-and-under range that holds the entire field back.

Architectural Read

Klue is the full-stack sales-activation platform in this evaluation — strong on must-haves, dominant on activation outputs, and thin on the operational and methodological underpinnings every vendor is thin on.


Clozd

Overall
5.36
Tier
Strong Performer
Must-Have
6.88
Differentiator
4.26
Gaps
24/70
Risk
34.29
Best For Product, strategy, and CI teams whose primary objective is evidence-based buyer understanding — deep interviews, rigorous analysis, and trustworthy insight that informs product, pricing, and corporate strategy decisions.
Strength

Clozd leads the field on Analysis & Insight Extraction (7.50) and Buyer Feedback Capture (6.00), and ties User Intuition for the top Data Quality & Methodology score (4.29). It is also the only vendor with a meaningful score on buyer anonymity and third-party neutral interviewing. The platform is built for rigorous, defensible research output.

Must-Have Coverage

On must-haves, Clozd ranks 2nd at 6.88. Buyer Feedback Capture (6.00), Analysis (7.50), and Sales Enablement (7.14) all land at functional-or-better levels — a more balanced foundation than any other vendor in the evaluation, including Klue.

Differentiator Profile

Differentiator average of 4.26 is 2nd in the field. Competitive Intelligence Output (8.13) is strong; Reporting (5.71) and Data Quality (4.29) are workable. The standout weakness is Pricing & Time to Value at 0.83 — the third-lowest in the field, suggesting opaque, service-led commercial terms that require direct negotiation.

Architectural Read

Clozd is the research-led alternative to Klue — a deeper methodology and capture foundation at the cost of the sales-activation polish Klue brings. The right pick when the output has to stand up to product and exec scrutiny.


Crayon

Overall
3.93
Tier
Strong Performer
Must-Have
4.07
Differentiator
3.76
Gaps
31/70
Risk
44.29
Best For Competitive intelligence teams whose primary product is CI content — competitor profiles, battlecards, market landscape reports — with win-loss feedback serving as one input stream among several.
Strength

Crayon posts the 2nd-highest Competitive Intelligence Output score (8.75) and ties Klue for the strongest CRM & Tech Stack Integration score (5.00). Its architecture is built around CI content production and distribution, not win-loss methodology.

Must-Have Coverage

On must-haves, Crayon ranks 4th at 4.07 — a drop from its 3rd-place overall ranking. Buyer Feedback Capture (2.50) and Analysis & Insight Extraction (4.00) are both light; Sales Enablement (5.71) is the strongest must-have category. The platform is positioned one step away from the core win-loss job.

Differentiator Profile

Differentiator average of 3.76 ranks 3rd. CI Output (8.75) carries most of the weight. Data Quality & Methodology at 0.00 is the single most severe gap in Crayon's scorecard — the platform has no surfaced public evidence of methodology transparency, bias reduction, or audit trail capability.

Architectural Read

Crayon is a CI-content platform that does adjacent win-loss, not a win-loss platform that does adjacent CI. Evaluate against the CI job, not the methodology-driven research job Clozd handles.


User Intuition

Overall
3.07
Tier
Contender
Must-Have
3.29
Differentiator
3.06
Gaps
38/70
Risk
54.29
Best For Smaller teams or mid-market buyers prioritizing accessible pricing and simple deployment — the buyer whose alternative to dedicated win-loss software is spreadsheets and a recurring interview contractor.
Strength

User Intuition owns Pricing & Time to Value (5.83) — the only vendor above 3.50 in this category — and ties Clozd on Data Quality & Methodology (4.29). The combination signals accessible commercial terms paired with methodological substance above the field average.

Must-Have Coverage

On must-haves, User Intuition ranks last at 3.29 — a two-rank drop from its 4th-place overall score. Buyer Feedback Capture (3.50) and Analysis (3.50) are middle-of-the-field; Sales Enablement (2.86) is materially lighter than any other vendor except its Challenger-tier peers. The must-have framework reveals what the overall composite obscures.

Differentiator Profile

Differentiator coverage at 3.06 is 4th in the field, propped up by Pricing (5.83) and Data Quality (4.29). Competitive Intelligence Output (1.25) and CRM Integration (1.25) are both near the field floor — buyers adopting User Intuition should expect to rely on other tools for CI content and CRM-integrated workflows.

Architectural Read

User Intuition trades functional depth for pricing transparency and methodological integrity. Narrower in scope than the leaders — best evaluated against that narrower scope.


Corporate Visions

Overall
2.86
Tier
Challenger
Must-Have
4.86
Differentiator
1.78
Gaps
42/70
Risk
60.00
Best For Sales enablement and revenue-enablement teams whose primary operational need is messaging and training content activation, with win-loss feedback as supporting input — not teams running a full win-loss program.
Strength

Corporate Visions posts the 2nd-highest Sales Enablement & Action score in the field (8.57) — only 0.72 behind Klue. The platform is engineered around seller-facing content, messaging frameworks, and enablement delivery. That strength alone drives its must-have ranking.

Must-Have Coverage

On must-haves, Corporate Visions ranks 3rd at 4.86 — a two-rank jump from its 5th-place overall score. The Sales Enablement 8.57 does nearly all the work; Buyer Feedback Capture (4.50) is respectable and Analysis (1.50) is the second-lowest in the field. The MH framework surfaces a specialist whose single-category strength is masked by broad weakness elsewhere.

Differentiator Profile

Differentiator average of 1.78 is 5th in the field. Competitive Intelligence Output (5.00) is the strongest differentiator category; everything else is light or absent. Data Quality & Methodology at 0.00 is the disqualifying gap — combined with the thin Analysis score, this is a platform that cannot independently validate the insights it activates on.

Architectural Read

Corporate Visions is a sales enablement specialist with one strong win-loss-adjacent capability. The MH framework reveals the specialism — but Data Quality at 0.00 and Analysis at 1.50 together disqualify it from serving as a primary win-loss platform.


Winxtra

Overall
2.36
Tier
Challenger
Must-Have
3.43
Differentiator
1.71
Gaps
47/70
Risk
67.14
Best For Exploratory buyers running a limited-scope pilot of the category, typically with no existing win-loss tooling and modest interview volume.
Strength

Winxtra's strongest score is Sales Enablement & Action at 4.29, with Analysis & Insight Extraction at 4.00 providing supporting function. The platform covers the basic shape of a win-loss tool without depth in any single area.

Must-Have Coverage

Must-have average of 3.43 ranks 5th in the field. Buyer Feedback Capture at 2.00 is the lowest in the evaluation; Analysis (4.00) and Sales Enablement (4.29) hold the platform's must-have score up. The foundation is thinner than the overall ranking suggests.

Differentiator Profile

Differentiator average of 1.71 is the lowest in the field. CRM & Tech Stack Integration (0.63) and Pricing (0.00) are both at or near the evaluation floor. The platform scored 0.00 on Pricing & Time to Value — no published pricing, unclear contract terms, no pilot program surfaced in available materials.

Architectural Read

Winxtra is an entry-scope platform with the highest risk score in the evaluation (67.14). Appropriate only for small-pilot evaluation, not for strategic program deployment.


Must-Have Category Deep Dive

Strip away the differentiators, and here is what the market looks like on the three capabilities that define win-loss analysis software: capture, analysis, and sales activation.

Vendors Ranked by Must-Have Average — Foundations Only
RankVendorCaptureAnalysisEnablementMH AvgOverall
1Klue5.507.009.297.266.00
2Clozd6.007.507.146.885.36
3Corporate Visions4.501.508.574.862.86
4Crayon2.504.005.714.073.93
5Winxtra2.004.004.293.432.36
6User Intuition3.503.502.863.293.07

Klue leads on must-haves at 7.26, anchored by its perfect 9.29 on Sales Enablement and solid-to-strong scores on Capture (5.50) and Analysis (7.00). Clozd ranks 2nd at 6.88 with a more balanced profile — the field's strongest Analysis score (7.50) and strongest Capture score (6.00), with a softer Enablement score (7.14). The interesting movement is in the middle of the field: Corporate Visions jumps from 5th overall to 3rd on must-haves (4.86), and User Intuition drops from 4th overall to last on must-haves (3.29).

Must-Have Average vs. Overall Score
02468100246810 LEADER CHALLENGER Must-Have Average → Overall Score →KlueClozdCrayonUser IntuitionCorporate VisionsWinxtra

Corporate Visions sits furthest below the diagonal — MH-strong (4.86) but dragged down on overall (2.86) by near-zero differentiator coverage.

The practical read: for sales-activation-led evaluations, the overall ranking is the right read — Klue wins, Clozd is the strong alternative. For foundation-led evaluations focused on whether the platform genuinely covers the core win-loss job at depth, the must-have ranking reorders the middle of the field and surfaces trade-offs the overall composite hides. Corporate Visions' MH score is a specialist's score, not a generalist's — useful to know before a demo.


Use-Case Insights

The vendor that wins your evaluation depends on which of three buyer profiles describes your program. The matrix below summarizes the best fit per profile.

Use-Case Matrix — Best-Fit Vendor by Strategic Need
Activate Intelligence for Sales
Translate win-loss findings into battlecards, deal coaching, and revenue-winning assets.
Best fit
CI Output 10.00 (#1) · Enablement 9.29 (#1)
Evidence-Based Strategy
Deep buyer interviews and analysis to inform product, corporate, and GTM strategy.
Best fit
Analysis 7.50 (#1) · Capture 6.00 (#1) · Data Quality 4.29 (tied #1)
Competitive Content Operations
CI-content specialists where win-loss is a supplementary feed, not the program spine.
Best fit
CI Output 8.75 (#2) · Enablement 5.71

Activate Intelligence for Sales — for teams whose primary job is getting win-loss insight into seller workflow and onto deal-level execution, Klue is the unambiguous answer. The perfect 10.00 on Competitive Intelligence Output and field-leading 9.29 on Sales Enablement & Action are built around exactly this use case. The trade-off: Klue's Data Quality score (2.86) is middle-of-field, and buyers running a regulated or exec-facing program may want to pair Klue with stronger methodological discipline.

Evidence-Based Strategy — for product, strategy, and executive research teams whose primary need is defensible buyer understanding that will inform product and corporate decisions, Clozd is the strongest pick. The field-leading Analysis (7.50) and Capture (6.00) scores, combined with tied-leading Data Quality (4.29) and the highest third-party-neutral interview methodology score in the field, define a research-grade platform. The trade-off: Pricing & Time to Value at 0.83 signals opaque commercial terms that require direct negotiation.

Competitive Content Operations — for teams whose existing CI program is built around content output — battlecards, competitor profiles, market landscape reports — and win-loss is one of several input streams, Crayon is a fit. The 8.75 on CI Output and functional Enablement (5.71) and Integration (5.00) cover the CI-content job well. The trade-off is sharper here: Data Quality 0.00 and Capture 2.50 mean Crayon should not be evaluated as a primary win-loss platform. It is adjacent to the category.


Where the Entire Market Falls Short

Three systemic gaps run across the entire field. One is the methodological foundation Gartner's Market Guide frames as definitional to the category. The others are operational — program management and pricing transparency — and they compound the first.

Data Quality & Methodology is broken at the category level. Two vendors (Crayon, Corporate Visions) score 0.00. The field average is 2.26. Only Clozd and User Intuition clear 4.00. The category measures methodology transparency, buyer anonymity, response rate optimization, bias reduction, data validation, consent tracking, and audit trails — the inputs that determine whether a win-loss insight is trustworthy enough to act on. Under Gartner's "service-led market, supported by software" framing, this is the half of the category where the platforms are thinnest, and it is the half that determines whether executives trust the output.

Program Management & Scalability is thin across the board. No vendor scores above 2.86. The field average is 2.38. The category measures managed interviewer services, pilot-to-enterprise scaling, role-based permissions, multi-business-unit support, and program health tracking — everything a buying committee asks about in the second demo. The implication: even the leaders in this evaluation will require the buyer to build significant program scaffolding themselves, or to contract with the vendor's services organization (which is where the real cost sits in a service-led market).

Pricing & Time to Value is opaque. Five of six vendors score below 3.50. The field average is 2.08. Only User Intuition (5.83) posts a score reflecting transparent pricing. Every other vendor either has no published pricing, no surfaced pilot program, or unclear contract flexibility. For a category where Gartner explicitly describes the market as service-led, that opacity translates directly into sales-cycle friction and multi-stakeholder procurement review.


Recommendations by Buyer Profile

Large Enterprise — organizations with established sales enablement infrastructure, multi-product portfolios, and existing CRM/enablement stacks. Klue is the primary pick: field-leading overall (6.00), field-leading must-have (7.26), and the only platform with a perfect score anywhere in the evaluation (CI Output 10.00). For programs requiring defensible methodology — regulated industries, board-facing programs, product decisions with material revenue impact — pair Klue with Clozd or evaluate Clozd as primary and Klue as the activation layer.

Mid-Market and High-Growth B2B — the deciding factor is usually the balance between activation urgency and budget. If the priority is operationalizing win-loss into sales velocity, Klue remains the strongest pick. If the priority is methodological rigor and research-grade output at a functional activation layer, Clozd is the better choice — must-have average 6.88, strongest Analysis and Capture in the field. User Intuition is worth evaluating as a transparent-pricing alternative for teams with simple requirements, but the must-have framework surfaces real functional gaps buyers should test against their specific use case.

Specialized / Adjacent Use Cases — buyers with narrower scope should evaluate the specialists honestly. Crayon is a CI-content platform that does adjacent win-loss — evaluate against the CI job, not the methodology job. Corporate Visions is a sales-enablement specialist whose Sales Enablement 8.57 is real — but Data Quality 0.00 and Analysis 1.50 disqualify it from serving as a primary win-loss platform. Winxtra is appropriate only for exploratory small-pilot evaluation — the 67.14 risk score and 47 scored gaps reflect real functional coverage limits.

For all buyers — across every profile, the Data Quality & Methodology gap requires explicit evaluation. Ask for the vendor's interview methodology documentation, their approach to buyer anonymity and consent, their audit trail for how insights trace back to source feedback, and their bias-reduction discipline. Gartner calls this category "service-led, supported by software" for a reason — the software alone does not deliver the insight quality your executives will act on.


The Proof Architecture Question

This report's central finding — that Data Quality & Methodology averages 2.26 across the field and that Gartner explicitly frames the category as service-led with software support — points to an architectural truth about how win-loss intelligence actually flows. The platforms in this evaluation analyze feedback, activate it into sales workflow, and report on it for stakeholders. They assume the feedback itself is already credible.

The Tool Layer
Klue Clozd Crayon User Intuition Corporate Visions Winxtra
What these platforms do: analyze, activate, and report on win-loss feedback — assuming the feedback itself is already credible and unbiased.
The Missing Layer
VERIFIED CAPTURE  ·  METHODOLOGY TRANSPARENCY  ·  AUDIT TRAIL
Data Quality & Methodology averages 2.26 across the field. The platforms assume the feedback they ingest is already trustworthy — the work of making it trustworthy sits upstream.
What Breaks Without It
Trust Erosion
Insight-to-action breaks without methodology
2 of 6 vendors score 0.00 on Data Quality & Methodology. The field averages 2.26. Executives don't act on insight they can't audit.
Revenue Exposure
21% average B2B win rate
Salesmotion 2026: enterprise $100K+ deals post 15% median win rates. Without structured win-loss, teams can't explain the 79% they're losing — they can only guess.

Proofmap is one approach to the missing layer. Proof-Native AI captures buyer feedback through structured interview-based intake with identity verification, consent workflows, and audit-traceable provenance — the foundation downstream win-loss and CI tools can then analyze and activate on with confidence. Choosing a win-loss platform without thinking about capture methodology is like choosing a CRM without thinking about data hygiene. More at proofmap.com.


Vendor Comparison: Full Scores

VendorCapture ★Analysis ★Enablement ★CI OutputReportingIntegrationProgram MgmtData QualityPricingMH AvgOverall
Klue5.507.009.2910.006.435.632.862.863.337.266.00
Clozd6.007.507.148.135.713.752.864.290.836.885.36
Crayon2.504.005.718.755.005.002.140.001.674.073.93
User Intuition3.503.502.861.252.861.252.864.295.833.293.07
Corporate Visions4.501.508.575.002.141.251.430.000.834.862.86
Winxtra2.004.004.292.502.860.632.142.140.003.432.36

Scores averaged across individual requirements within each category on a 0/5/10 scale. Must-have categories (Capture, Analysis, Enablement — marked ★ and shaded) define foundational win-loss capability. Evaluation framework by Proofmap. Vendor data and scoring via Olive.

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Quick Answers

Why does the must-have ranking differ from the overall ranking?
The overall composite weights every category equally. The must-have ranking weights only the three foundational categories Proofmap identifies as definitional for win-loss analysis software: Buyer Feedback Capture, Analysis & Insight Extraction, and Sales Enablement & Action. Corporate Visions ranks 5th overall (2.86) but 3rd on must-haves (4.86) because its Sales Enablement score of 8.57 is the second-highest in the field. User Intuition is the inverse — 4th overall (3.07) but last on must-haves (3.29) because its strengths are concentrated in Pricing and Data Quality, which are differentiators, not in the core must-have trio.
Why is Data Quality & Methodology flagged as a market-wide gap when it is a differentiator?
Gartner's April 2025 Market Guide for Win/Loss Analysis Solutions describes the category as 'largely a service-led market — supported by software.' Methodology determines whether an insight is trustworthy enough to act on. Two of six vendors score 0.00 in this category; the field averages 2.26. For regulated industries, board-facing programs, or product decisions with material revenue impact, Data Quality is functionally foundational even though it is formally a differentiator in this framework.
Which vendor is best for large enterprise buyers?
Klue is the strongest primary pick — field-leading overall (6.00), field-leading must-have (7.26), and the only perfect 10.00 anywhere in the evaluation (Competitive Intelligence Output). For programs requiring defensible research methodology (regulated industries, board-facing programs), pair Klue with Clozd or evaluate Clozd as primary and Klue as the sales activation layer.
Which vendor is best for mid-market and high-growth B2B buyers?
The choice depends on program priority. If activation into the sales cycle is the primary need, Klue remains the strongest pick at this tier as well. If methodological rigor and research-grade buyer understanding are the priority, Clozd (overall 5.36, must-have 6.88) is the better choice — strongest Analysis and Capture in the field, with third-party neutral interviewing. User Intuition is worth evaluating as a transparent-pricing alternative (Pricing 5.83) for teams with simpler requirements.
Which vendor is best for specialist or narrow use cases?
Crayon is the fit for CI-content-led programs where win-loss feedback is one of several input streams — 8.75 on Competitive Intelligence Output. Corporate Visions is viable only as a sales enablement complement (SE 8.57, but Data Quality 0.00 and Analysis 1.50 disqualify it from primary platform duty). Winxtra is appropriate only for exploratory small-pilot evaluation — 47 scored gaps and a 67.14 risk score reflect real functional coverage limits.
Is Corporate Visions still operating, and why is it in this report?
Corporate Visions is active and operating (https://corporatevisions.com), primarily as a sales enablement and commercial conversations training company. It is included in this evaluation because its platform offers win-loss-adjacent capabilities — buyer feedback capture and sales enablement activation — that surface in vendor shortlists for the category. Its strong Sales Enablement score (8.57, second-highest in the field) is real. Its Data Quality 0.00 and Analysis 1.50 scores are the reason it ranks 5th overall and should not be evaluated as a primary win-loss platform.

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