Win-Loss Analysis

Analyze won and lost deals to find patterns in your data. Analysis built on dirty data produces conclusions you can't trust. We clean the data first, then deliver insights you can act on.

91% Of CRM data is incomplete

40% Of goals fail from bad data

$15M Avg cost of poor data yearly

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Why Most Win-Loss Analysis Produces Wrong Answers

Most win-loss analysis fails before it starts. Not because the methodology is wrong, but because the data is bad. 91% of CRM data is incomplete. 62% of organizations rely on data that's up to 40% inaccurate. Every model and conclusion built on that foundation is compromised.

Dirty Data Produces Wrong Answers

Your win-loss analysis says mid-market SaaS is your best segment. But the employee counts driving that conclusion are wrong on 30% of accounts. The industry classifications are inconsistent. 25% of your customer records are duplicates inflating the pattern. Is the conclusion right? Maybe. Can you bet your strategy on it? Not confidently.

Analysts Spend 80% of Time Cleaning

Data scientists report spending 80% of their time on data preparation and cleaning. That means your expensive analysis project is mostly janitorial work. The actual analysis, the part that generates insight, gets compressed into the remaining 20% of effort.

Incomplete Records Create Blind Spots

If 40% of your customer records are missing firmographic data, your win-loss analysis has a 40% blind spot. Patterns that appear significant may just reflect which records happened to have complete data. Real patterns get masked by data gaps.

Stale Data Reflects Yesterday's Market

Analysis based on data that's 12-18 months old reflects a market that no longer exists. Companies have grown, been acquired, pivoted, or closed. Your analysis needs current data to produce current insights.

CRM data quality before and after Verum enrichment showing improved email coverage, phone connectivity, and record accuracy — Before vs after: how Verum transforms your CRM data quality.

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How Verum Delivers Reliable Win-Loss Analysis

We clean and enrich your data first, then perform the analysis. This means your win-loss analysis runs on complete, accurate, current data, not the 91% incomplete CRM export you started with.

Data Preparation Included

We deduplicate records, validate emails, standardize industry codes, enrich missing firmographics, and normalize titles before any analysis begins. The data cleaning is included, not an extra charge.

For your team: You get analysis results you can trust because the foundation was verified first. No asterisks about data quality caveats.

Actionable Recommendations

Our win-loss analysis doesn't end with a data dump. You get specific, actionable recommendations for targeting, messaging, resource allocation, and strategy that your team can execute immediately.

Human QA on Everything

Both the data cleaning and the analysis get human review. Our team validates data quality before analysis begins and reviews analytical conclusions for accuracy before delivery.

Diagram showing 50+ data sources converging into a single enriched record through Verum's multi-source enrichment engine — How Verum cross-references 50+ sources for every record.

93% Deliverability guarantee

24‑48hr Typical turnaround

50+ Data sources

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What You Get From Win-Loss Analysis

Data-driven strategy. Replace assumptions with evidence. Win-Loss Analysis on clean data gives you confidence that your strategy targets the right market.
Board-ready deliverables. Analysis that leadership trusts because the underlying data has been verified and cleaned.
Go-to-market focus. Know exactly which segments, verticals, and company profiles to prioritize based on actual performance data.
Resource allocation. Allocate sales, marketing, and product resources to the segments with the highest demonstrated ROI.
Competitive positioning. Understand where you win, where you lose, and why, based on data patterns rather than anecdotes.

CRM integration flow showing data exported from Salesforce or HubSpot, enriched by Verum, and imported back with improved field completeness — Your CRM data, enriched and returned with 90%+ completeness.

Getting Started Takes Less Time Than Your Average Meeting

Step 1: Free Assessment (5 minutes)
Upload a sample file or tell us what you need. We'll review your data and tell you exactly what we can do, with expected match rates and timelines for win-loss analysis.

Step 2: Discovery Call (30 minutes)
We'll walk through your current stack, data sources, and goals. No sales pitch. Just a technical conversation about your data.

Step 3: Data Analysis (on us)
We run a free analysis on a sample of your records so you can see results before committing to anything.

Step 4: Full Engagement
Once you approve the sample results, we process your full dataset. Most projects complete in 24‑48 hours.

Step 5: Ongoing (if you want it)
Data decays at 30% per year. We offer quarterly or monthly re‑enrichment to keep your records current. No long‑term contracts required.

Timeline showing 30% annual data decay from 95% accuracy at month 1 to 70% at month 12, with job title changes, email bounces, and phone disconnects — Why ongoing enrichment matters: 30% of your data goes stale every year.

Why Teams Choose Verum for Win-Loss Analysis

We clean the data first. Most analysts skip this. We don't. Your analysis runs on verified, enriched data.
Actionable output. Not just charts and tables. Specific recommendations your team can execute.
Fast delivery. Data cleaning in 24-48 hours. Analysis complete within 1-2 weeks.
No long-term contracts. Per-project pricing. Get the analysis you need without annual commitments.
Domain expertise. We've done hundreds of win-loss analysis projects across industries. We know what works and what doesn't.

The Old Way vs. With Verum

The Old Way	With Verum
Analysis on dirty CRM data	Analysis on cleaned, enriched data
80% of analyst time spent cleaning	Data arrives pre‑cleaned, analyst focuses on insights
Conclusions nobody trusts	Results backed by verified, complete data
Static report, outdated in months	Refreshable analysis with updated data
DIY with spreadsheets	Professional analysis with clear methodology

Data enrichment visual showing Verum's approach to why most win-loss analysis produces wrong answers — Visual guide to how Verum solves B2B data challenges.

Common Questions About Win-Loss Analysis

What data do I need to provide for win-loss analysis?

Typically your CRM export (contacts and accounts), closed-won and closed-lost deal data, and any product usage data you have. We'll tell you exactly what we need during the discovery call. More data means better analysis, but we can work with what you have.

How is this different from hiring an analyst?

We combine data cleaning with analysis. Most analysts spend 80% of their time cleaning data before they can analyze it. We handle the cleaning and enrichment automatically, then focus our analysis time on insights and recommendations.

How long does the analysis take?

Data cleaning takes 24-48 hours. Analysis depends on scope, but most win-loss analysis projects complete within 1-2 weeks including data preparation, analysis, and delivery of recommendations.

How is this different from buying a ZoomInfo license?

Three differences. First, different problem: ZoomInfo sells net-new contacts, Verum enriches your existing records. Second, different pricing: ZoomInfo runs $15K-$50K+ per year, Verum charges per project. Third, different ownership: ZoomInfo requires data deletion when you cancel. Verum data is yours forever.

Ready to Get Reliable Win-Loss Analysis?

Not sure yet? Send us a sample of your data. We'll run a free quality assessment so you can see what needs cleaning before analysis.

Ready to go? Tell us your win-loss analysis goals and we'll scope the project within 24 hours.

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