Dashboard
Why are we losing, to whom, and what it costs.
Clients
5
Companies in catalog
51
Lost deals
70
Lost ACV
$8.4M
Battlecards
5
Lost ACV by competitor
Total ACV of lost deals, grouped by the competitor that won.
Lost deals by quarter
Number of deals lost to a competitor per fiscal quarter.
Top root causes
Root causes ranked by the ACV of the lost deals they explain.
| # | Root cause | Deals | Lost ACV |
|---|---|---|---|
| 1 | Generic AI messaging loses enterprise replies | 8 | $1,206,000 |
| 2 | Seat price 30% above market for 500+ developers | 3 | $893,000 |
| 3 | Per-resolution pricing misaligned with high-volume SMB | 5 | $764,000 |
| 4 | No agentic multi-file edits | 4 | $670,000 |
| 5 | No SOC 2 Type II and EU data residency gaps | 4 | $650,000 |
| 6 | Agents fail silently without human-in-the-loop approvals | 6 | $580,000 |
| 7 | No voice channel in the autonomous agent | 3 | $579,000 |
| 8 | Token pricing uncompetitive above 50M tokens/month | 1 | $489,000 |
| 9 | Opaque pricing above starter tier | 9 | $442,000 |
| 10 | Model quality lags on long-context reasoning | 3 | $435,000 |
Battlecard evidence mix
Where battlecard statements come from, across all battlecards.
- Customer said35
- Hypothesis22
- Deal evidence20
- Competitor claim15
- Seller said7
Catalog snapshot
Documented traits and the latest additions to the company catalog.
- Strengths
- 153
- Weaknesses
- 153
Recently added companies
- Llm platform
Lumenary AI
Enterprise LLM platform with private deployment
- Ai infrastructure
Vectorhaus
Managed vector database for RAG at scale
- Content generation
Quillon
Brand-safe marketing copy at scale
- Security governance
Sentrix Labs
AI governance and model risk management
- Win loss intelligence
ACM
Win/loss intelligence for AI SaaS companies