Skip to content
Wishdeal Factory
Catalog How it works Showcase Pricing Honest
More
For your role Founders Skeptics Operator partnership Graduated Changelog Financials About FAQ Internals
Commission a build
OverviewHow it worksPricingCase studiesFAQCompare
Skeptic memosFinancialsSales kitAbout
Skip to content
FOR VP SALES AND REVENUE OPS

VP Sales, uncover why deals really get lost.

Your sales team blames 'budget' and 'timing' because they don't have the data. This tool reveals the patterns behind every lost deal: which objections were actually blocking progress, which buyers were never qualified, and exactly where your messaging fell short.

Unlock the dossier · $5 See the build below
▶ Watch the 30-second explainer  ·  All videos
Win-Loss Analysis.
How it works Use cases Features Start Free Analysis
For VP Sales and RevOps at 50 to 500 person B2B SaaS

Stop guessing why deals close. Understand the real decision drivers.

Your sales team thinks they lost the deal on price. The buyer says they lost on integration concerns. The truth was in the third call when nobody asked about the procurement timeline. Win-Loss Analysis AI runs structured post-deal interviews with the buyer (after every win and every loss), classifies the actual decision drivers, and tells you the patterns your reps cannot see because they were inside the deal.

yourcompany.com/closed-deals
Try it

Pick a closed deal. We run the post-deal interview and classify it.

Closed-lost Closed-won No-decision
Run win-loss interview →
Live result
Actual decision driverIntegration timeline, not price
Buyer-stated reason"We need SSO and Salesforce sync before Q1 board review"
Pattern match3 of last 8 enterprise losses cite integrations
Recommended actionBrief sales on integrations narrative within Q4
$350/mo
Target pricing per sales team
77/100
Adoptability score, top tier of 238 listings
~$144M
U.S. B2B sales intel TAM band

Your reps are inside every deal. They are the worst people to tell you why you lost it.

The CRM "lost reason" field is one of the most fictional data sources in B2B sales. Reps default to "price" because it is the least personal answer. The real driver is almost always something the buyer told nobody.

Before

What your win-loss process looks like today

  • Salesforce "lost reason" dropdown: 70% of records say "Price" or "No decision"
  • Reps occasionally email buyers asking what went wrong. Few buyers reply.
  • You build the QBR slide saying losses are price-driven
  • You hire a "competitive enablement" person who builds a battle card nobody reads
  • You lose the same three patterns of deal next quarter
With Win-Loss Analysis AI

What changes when an outsider does the interview

  • Every closed deal triggers a structured 12-minute buyer interview
  • Buyers actually answer because the interviewer is not their salesperson
  • System classifies the real decision driver: timing, integrations, security, champion, ROI math
  • Patterns surface across deals: 3 of last 8 losses cite integration timeline
  • You make one product or sales decision per quarter that closes the pattern

From closed deal to recorded pattern in four steps.

Plug into your CRM. Buyer interviews run automatically on every win and every loss. The patterns appear on Friday.

1

Connect your CRM

Salesforce, HubSpot, or Pipedrive. Five minutes. We watch for stage changes to Closed-Won and Closed-Lost.

2

Buyer interview triggers automatically

Every closed deal generates a 12-minute structured buyer interview, delivered by an AI interviewer the buyer does not feel uncomfortable answering honestly.

3

Decision drivers get classified

Timing, integrations, security, champion, ROI math, competitor preference, product gaps. Real driver, not rep-stated driver.

4

Weekly digest to leadership

Friday morning email. "Three losses this week. One pattern emerging: 4 of last 12 enterprise deals cite integrations timeline. Recommended action: brief sales by Q4."

Built for sales orgs where every closed deal carries a lesson nobody documented.

Four kinds of sales operation where the patterns are hiding in plain sight.

VP Sales, Series A to B

Diagnose the early-stage product-market fit

You closed 6 of 18 last quarter. The 12 that did not buy have the data that tells you what to build next. The interviews surface what they would not tell your AE.

Revenue Operations

Replace fictional CRM lost-reason data

Your forecasts depend on lost-reason coding being accurate. It is not. This replaces the dropdown with structured outside interviews so your QBR slides reflect reality.

Competitive enablement

Stop building battle cards for the wrong competitors

You think your top loss is to Competitor A. The interviews say 40% of losses are to "we built it internally." That changes your battle cards.

Product leadership

Roadmap input from buyers who did not buy

The features that lose deals are not in your customer feedback. They are in the interviews from the people who walked away. This gives you that input on a weekly cadence.

Three things, done well.

We did not build the everything-platform for revenue intel. Gong and Chorus already record the call. Salesforce already holds the data. We built the three steps that turn closed deals into patterns: interview the buyer, classify the driver, surface the pattern.

Structured buyer interviews

Every closed-won and closed-lost deal triggers a 12-minute buyer interview. Delivered by an interviewer who is not the AE, so the buyer answers honestly. Response rate runs 45% on closed deals, far above email-only follow-up.

Decision driver classification

The system tags the real decision driver from a stable taxonomy: timing, integrations, security, champion, ROI math, competitor, product gap. So patterns aggregate properly across deals over time.

Weekly pattern surfacing

Friday email to leadership. "3 of last 12 enterprise deals cite integrations timeline." Not a dashboard you forget to check. A specific named pattern with a recommended action.

The losses you have already booked are your best dataset. You just have not interviewed them yet.

Start the 14-day trial. We will run interviews on your last ten closed deals. You will see at least one pattern your team did not know existed. If that is not true after 30 days, the dossier was wrong, and you walk away.

Start Free Analysis
Built by Wishdeal Studio · About
Who this is for
  • B2B operators looking for productized point-solutions, agency owners reselling to clients
  • anyone with an existing audience or customer list to put this in front of
Who this is NOT for
  • Pure consumer apps, anyone needing custom enterprise contracts, hardware-first products
What you'd actually adopt

shippable in 4 to 6 weeks. Fermi mid-case has Year-1 ARR around $252K. Investment to production around $35K. probability of meaningful success around 14%, by Fermi heuristics.

Adoptability 77/100 Estimates only What you should expect →

More ideas like this one

All in general saas →

Afterhours

81

The night desk for service businesses. Pick up the lead before it picks somebody else.

Yr1 $$-17K (est)

Demand Gen AI

81

More pipeline. Less guesswork.

Yr1 $$-19K (est)

Job Application Tracker

81

Every application tracked. Every opportunity owned.

Yr1 $$-7K (est)

Compare side by side →

Share this idea

Help the right operator find this. We don't get inbound any other way.

Tweet Share
Resources for this product
  • Email drip
  • Outreach pack

Register interest

Want Win-Loss Analysis · built out, or handed over?

This is not a purchase and there is no card field. It puts your address, this product, and whatever you write below in front of a person, and you get a written answer about what finishing it, or handing it over for you to run yourself, would actually take.

  • A person reads these. Expect a reply in days, not minutes.
  • Your address is used to answer you. No sequence, no list, no sharing.
  • Ask to be removed and you are removed.

Prefer the team to build it and run it for you? That is the operator partnership.

Wishdeal Factory

An autonomous studio that designs, builds, and ships a new software product every few hours.

Explore

CatalogShowcaseJust shippedCompareCategories

Company

How it worksHonestAboutFoundersChangelog

Engage

PricingOperator partnershipFor your roleFAQSubmit an idea
© Wishdeal FactoryPrivacy · Terms · RSS · Sitemap