The Challenge
Sales teams compete against the same players repeatedly but lack systematic analysis. Win/loss data exists in CRM but extracting patterns and insights takes significant effort.
The AI Desk Solution
AI Desk analyzes competitive deals to surface patterns, winning strategies, and areas for improvement.
The Workflow
Step 1: Competitor Selection
Input: "Win/loss analysis vs Zeta AI"
Sources: CRM, call recordings, deal notes
Step 2: Pattern Analysis
- Win rate trends
- Common objections
- Successful tactics
Step 3: Competitive Report
š Win/Loss Report: vs Zeta AI
PERIOD: Last 12 months
TOTAL DEALS: 47
WIN RATE: 58% (27 won, 20 lost)
TREND ANALYSIS
āāā Q1: 45% win rate (improving)
āāā Q2: 52% win rate
āāā Q3: 62% win rate
āāā Q4: 68% win rate
āāā Trend: Strong improvement
BY SEGMENT
āāā Enterprise: 72% win rate ā
āāā Mid-market: 54% win rate
āāā SMB: 41% win rate ā
āāā Focus: SMB messaging
WHY WE WIN
- Multi-model capability (mentioned 18x)
āāā "They're locked into one model"
āāā "Flexibility was the decider"
āāā Lead with this in discovery
- Enterprise security (mentioned 14x)
āāā "Their security story was weak"
āāā "Audit trails sealed the deal"
āāā Emphasize in regulated industries
- Integration depth (mentioned 11x)
āāā "Pre-built connectors saved time"
āāā "Their integration was basic"
āāā Demo integrations early
WHY WE LOSE
- Price perception (mentioned 12x)
āāā "They came in 20% lower"
āāā "Couldn't justify premium"
āāā Action: ROI calculator earlier
- Brand awareness (mentioned 8x)
āāā "We knew Zeta, never heard of you"
āāā SMB segment especially
āāā Action: Marketing in SMB
- Feature parity (mentioned 6x)
āāā "They had [specific feature]"
āāā Mostly workflow automation
āāā Action: Product feedback loop
RECOMMENDED ACTIONS
āāā š“ Deploy ROI calculator in discovery
āāā š” Increase SMB brand awareness
āāā š” Competitive battlecard update
āāā š¢ Continue security emphasis
Value Proposition
- Time Saved: 4 hours of analysis
- Win More: Data-driven tactics
- Strategic Input: Product and marketing insights
Part of the 100 Days 100 Usecases campaign. View all usecases