Win/loss patterns from every deal, built from real data.
Every closed-won and closed-lost deal is analyzed across all call transcripts, CRM fields, and timelines to reveal the patterns that determine outcomes. No more quarterly guesswork.
A complete win/loss report lands each quarter, built from every Gong transcript and Salesforce record, not a survey sample. The factors that actually separate wins from losses (discovery depth, stakeholder coverage, competitive positioning) Doe identifies and publishes without consultants or manual analysis.
What changes
| Dimension | Before | With Doe |
|---|---|---|
| Data source for analysis | CRM picklist fields ("Price", "Timing") | Full call transcripts, CRM history, email threads |
| Deals analyzed | 10-20% sample (whoever responds to survey) | Every closed deal analyzed, 100% coverage |
| Insight depth | High-level themes | Per-rep, per-competitor, per-objection breakdown |
| Frequency | Quarterly if someone remembers | Monthly or quarterly, fully automated |
How Doe analyzes your win/loss patterns
SalesforceWon and lost deals captured with timeline, deal size, stage progression, and close reason for the period
GongDoe flagged recurring objection themes, competitor mentions in 40% of losses, and a sentiment drop pattern in late-stage deals
Doe found that discovery depth and multi-stakeholder coverage were the strongest predictors of closed-won outcomes
NotionDoe produced a report with key themes, rep-level comparisons, and a competitive breakdown
NotionDoe shipped a Notion page so each team gets the insights relevant to their function
Your win/loss analysis is a fiction.
Once a quarter, someone in RevOps exports a Salesforce report of closed deals. They look at the "Closed Lost Reason" picklist, the one reps fill out with one word because they're already focused on the next deal. "Price." "Timing." "Went with competitor." That's not analysis. That's a multiple-choice test filled out by someone who already moved on.
The real story is buried in the call recordings. The discovery call where the prospect mentioned a blocker that nobody followed up on. The demo where the SE spent 30 minutes on features the buyer didn't care about. The negotiation where you dropped price but the real issue was implementation timeline. All of that context exists in your Gong recordings, but nobody has time to re-listen to 200 calls and cross-reference them with outcomes.
Get started in under 10 minutes
Connect your tools
One-click OAuth for each integration. No API keys, no engineering.
Describe what you need
“On the first Monday of each quarter, analyze every closed-won and closed-lost deal from last quarter. Break down win rate by segment, flag the top three loss reasons from call transcripts, and format it as an exec-ready slide deck.”
It runs on schedule
Generates a full win/loss report on the first Monday of each quarter.
Win/Loss Analysis FAQ
Gong excels at call-level metrics: talk ratios, question rates, topic frequency. Doe goes further by reading transcripts against CRM data, stage history, and deal outcomes to identify why those patterns matter. For example, Doe surfaces correlations like "enterprise deals with 3+ stakeholder calls close at 2x the rate of single-contact deals." Gong is for coaching individual reps. Doe is for understanding deal-level patterns across your pipeline.
Related workflows
Stop doing the work your tools should do for you.
Set it up once. Doe runs it every time.
