Sales
Win/loss patterns from every deal, built from real data.
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) ZeroTwo identifies and publishes without consultants or manual analysis.
What changes
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
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.
How ZeroTwo analyzes your win/loss patterns
Pulls every closed deal with full stage history and metadata
SalesforceWon and lost deals captured with timeline, deal size, stage progression, and close reason for the period
Reads transcripts across all closed deals for patterns
GongZeroTwo flagged recurring objection themes, competitor mentions in 40% of losses, and a sentiment drop pattern in late-stage deals
Isolates the factors that separate wins from losses
GoogleZeroTwo found that discovery depth and multi-stakeholder coverage were the strongest predictors of closed-won outcomes
Writes the full report with themes and coaching recommendations
NotionZeroTwo produced a report with key themes, rep-level comparisons, and a competitive breakdown
Publishes team-specific sections for sales, product, and marketing
NotionZeroTwo shipped a Notion page so each team gets the insights relevant to their function
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.
Frequently asked questions
Gong excels at call-level metrics: talk ratios, question rates, topic frequency. ZeroTwo goes further by reading transcripts against CRM data, stage history, and deal outcomes to identify why those patterns matter. For example, ZeroTwo surfaces correlations like 'enterprise deals with 3+ stakeholder calls close at 2x the rate of single-contact deals.' Gong is for coaching individual reps. ZeroTwo is for understanding deal-level patterns across your pipeline.
Yes, if the historical data exists in your connected tools. ZeroTwo can analyze past Gong recordings and CRM records going back as far as your systems retain them. Older deals may have sparser data (fewer call recordings, less CRM detail), so the analysis will be lighter. ZeroTwo flags when data is too thin to draw conclusions.
Yes. The report includes team-level patterns and individual rep comparisons: win rates by stage, discovery question quality, objection handling patterns. This makes it directly useful for sales enablement and coaching. All data is presented constructively, focused on improvement.
Call transcripts are scanned for competitor mentions, tracking how frequently each competitor appears across lost deals. The context is analyzed (whether the competitor was mentioned positively, as a blocker, or in pricing comparisons) and then correlated with deal outcomes to reveal which competitors cost you deals and why.
Yes. You configure the frequency. Monthly analysis works well for high-velocity sales teams with enough closed deals to identify patterns. For enterprise teams with longer cycles, quarterly is typically more meaningful. ZeroTwo adjusts the sample size and statistical confidence accordingly.
Related workflows
Stop doing the work your tools should do for you.
Set it up once. ZeroTwo runs it every time.