What do I need to run ICP Evolution Tracker?
Free, no sign-up, no account. A web browser is enough; the answer comes back in a second or two.
| Input | Required? | What to enter |
|---|---|---|
| Current ICP | Required | Your current ICP definition |
| Recent wins | Optional | Description of recent successful customers |
| Recent losses | Optional | Description of recent lost deals |
| Market changes | Optional | Recent market or competitive changes |
| Time period | Optional | Time period for analysis (e.g., "Q4 2024") |
- Fill in the required inputs above in the form below, or press Fill in a tested example.
- Press Run ICP Evolution Tracker.
- Read the result on this page, then copy it and edit it before you use it.
How do I run ICP Evolution Tracker in my browser?
Required: Current ICP. Fields marked optional can be left empty.
Result
What does ICP Evolution Tracker return for the tested example?
Generated from the live code on 25 September 2026 with the inputs behind Fill in a tested example. Your own inputs give a different result.
Show the full result
ICP Evolution Analysis
Current ICP
Multi-location clinic groups
Analysis Period: last quarter
📊 Win/Loss Pattern Analysis
Recent Wins
Dental chains with central ops
Pattern Detection:
- This tool does not analyze the text; check these wins for emerging ICP characteristics
- Look for: Common company sizes, industries, buying triggers, champion roles
- Consider: What made these deals successful? New segment emerging?
Recent Losses
Hospitals needing EHR integration
Pattern Detection:
- This tool does not analyze the text; check these losses for the ICP refinements they suggest
- Look for: Common rejection reasons, competitor wins, deal killers
- Consider: Should these have been disqualified earlier?
🌊 Market Change Impact
Market Changes Identified
*No market changes provided*
ICP Implications:
- Provide market changes to assess ICP impact
🔄 ICP Evolution Framework
Quarterly Review Checklist
Data to Collect:
- [ ] Win/loss ratio by segment
- [ ] ACV trends by customer type
- [ ] Sales cycle changes
- [ ] Churn patterns by ICP match score
- [ ] NPS by customer segment
Questions to Answer:
- Are our best customers changing profile?
- Are we winning more in new segments?
- Are we losing deals we should have qualified out?
- Are churned customers following a pattern?
- Has the competitive landscape shifted?
ICP Evolution Decision Matrix
| Signal | Expand ICP | Contract ICP | No Change |
|---|---|---|---|
| Winning in new segments | ✅ | ||
| Losing in core segment | ✅ | ||
| Stable win rates | ✅ | ||
| New competitor threat | ✅ | ||
| Market expansion | ✅ | ||
| High churn segment | ✅ |
📈 Recommended ICP Updates
Potential Additions (Based on Wins)
- New segment signal: Look for patterns in recent wins
- Technology indicators: New tools correlating with success
- Buying triggers: Events that led to purchase
- Champion profiles: Roles that drove deals
Potential Removals (Based on Losses/Churn)
- Disqualification signals: Common patterns in losses
- False positive indicators: Looked good, didn't convert
- Churn predictors: Early warning signs
- Resource drains: High effort, low outcome segments
📋 ICP Evolution Tracking Template
| Quarter | ICP Change | Rationale | Impact |
|---|---|---|---|
| last quarter | [Pending analysis] | [Based on this review] | [Measure next quarter] |
Metrics to Track
- Win rate by ICP fit score: Should improve if ICP is right
- Sales cycle by ICP fit: Best-fit should close faster
- ACV by ICP fit: Best-fit should pay more
- Churn by ICP fit: Best-fit should retain better
- NPS by ICP fit: Best-fit should be happier
🚨 ICP Change Triggers
Automatically review ICP when:
Example figures: replace with your own.
| Trigger | Threshold | Action |
|---|---|---|
| Win rate drops | >10% decline | Review ICP breadth |
| Sales cycle increases | >20% longer | Tighten qualification |
| Churn spikes | >5% increase | Analyze churned segment |
| New segment wins | >20% of deals | Consider ICP expansion |
| Competitor win increase | >15% of losses | Review positioning |
Next Step: Use icp_interview_synthesizer to extract patterns from customer interviews
Who is ICP Evolution Tracker not ideal for?
- Anyone who cannot give the required inputs (Current ICP); the answer is built only from them.
- Teams looking for a list of companies to target: the tools describe and score profiles from your data but find no companies.
- Market sizing without your own numbers: TAM, SAM and SOM come only from the figures you enter.
How do I use ICP Evolution Tracker from Claude?
Connect ICP Intelligence once (see Connect), then ask in plain words. A prompt built from the tested example:
Use ICP Intelligence's ICP Evolution Tracker tool. current icp: Multi-location clinic groups; recent wins: Dental chains with central ops; recent losses: Hospitals needing EHR integration; time period: last quarter.
MCP tool name: icp_evolution_tracker. REST: POST https://icp-intelligence.gtmhelix.com/api/tools/icp_evolution_tracker with this JSON body (see Docs):
{
"input": {
"current_icp": "Multi-location clinic groups",
"recent_wins": "Dental chains with central ops",
"recent_losses": "Hospitals needing EHR integration",
"time_period": "last quarter"
}
}
How does ICP Evolution Tracker work?
It applies fixed rules in the ICP Intelligence code to the inputs above and returns text. It does not call an AI model, does not look anything up, and does not store what you type. The web form and the MCP server call the same tool code, so the same input gives the same answer in both.