ICP Intelligence report
ICP Scoring Model: your result
This answer uses a made up example company. Change the details above and press Run to see your own result.
ICP Scoring Model
For demand gen, RevOps and sales leads. The decision: which leads are worth a seller's time?
Give it the criteria that matter and how important each one is, and get back a scoring matrix with example weights, qualification tiers, a scorecard template and CRM setup steps.
List your qualification criteria and mark each one as Critical (preset example weight of 20 to 25 points), Important (10 to 15 points), or Nice-to-Have (5 to 10 points). For ordered values, the first value you list gets the full weight, the last gets 0 points, and values between step down evenly; ICP Scoring Model then sets four qualification tiers as percentages of your maximum score (Tier A: Hot at 80%+, Tier B: Warm at 60% to 79%, Tier C: Developing at 40% to 59%, Tier D: Unqualified below 40%), along with a scorecard template and CRM setup steps.
This sample is a made up example, built from the inputs behind Fill in an example. It shows part of one section of the answer.
| Tier | Score Range | Action | SLA |
|---|---|---|---|
| A: Hot | 32-40 | Immediate outreach, fast-track | Demo within 24 hours |
| B: Warm | 24-31 | Priority follow-up | Demo within 48 hours |
| C: Developing | 16-23 | Nurture sequence | Weekly touch |
| D: Unqualified | 0-15 | Marketing nurture only | Auto-nurture |
The bands are 80%, 60% and 40% of your maximum score of 40 points. Set the times above to how deals run in fintech, spend and expense: CFO led with a security and compliance review inside the cycle; proof through a pilot on one entity or department.
Number of employees (Max: 25 pts)
☐ 300 to 3000 (25 pts)
☐ 100 to 299 (13 pts)
☐ under 100 (0 pts)
Score: ___ / 25
See the full example answer or run it with your own details.
ICP Intelligence report
This answer uses a made up example company. Change the details above and press Run to see your own result.
When a tool is not enough: if the decision needs more than one answer, talk it through in a call. Book 45 minutes with Shashwat.
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Generated on 2 November 2026 from this branch, with the inputs behind Fill in an example. Your own inputs give a different result.
ICP Intelligence report
Sector: read from your inputs as fintech, spend and expense.
Success Correlation Noted: "Customers with an ERP and a finance controller renew most"
This pattern is already a criterion: ERP in use. If it holds in your closed deals, make it critical.
The weights below are preset by importance level (critical, important, nice to have); they are not calculated from your data.
Example figures: replace with your own. Every point value and band below is an example.
| Priority | Weight Range | Purpose |
|---|---|---|
| Critical | 20-25 pts | Must-have for qualification |
| Important | 10-15 pts | Strong success indicators |
| Nice-to-Have | 5-10 pts | Bonus factors |
| Criterion | Weight | Scoring Values |
|---|---|---|
| Number of employees | 25 pts | 300 to 3000 (25 pts) / 100 to 299 (13 pts) / under 100 (0 pts) |
| ERP in use | 15 pts | Yes (15 pts) / No (0 pts) |
For Number of employees and ERP in use, the values run in an order (a range, yes or no, a timeline), so the first value you listed scores the full weight, the last scores 0, and the values between score even steps; list each of these criteria's values from best fit to worst fit. All of these points are examples to adjust.
Maximum Score: 40 points (Example figure: replace with your own)
| Tier | Score Range | Action | SLA |
|---|---|---|---|
| A: Hot | 32-40 | Immediate outreach, fast-track | Demo within 24 hours |
| B: Warm | 24-31 | Priority follow-up | Demo within 48 hours |
| C: Developing | 16-23 | Nurture sequence | Weekly touch |
| D: Unqualified | 0-15 | Marketing nurture only | Auto-nurture |
The bands are 80%, 60% and 40% of your maximum score of 40 points. Set the times above to how deals run in fintech, spend and expense: CFO led with a security and compliance review inside the cycle; proof through a pilot on one entity or department.
Number of employees (Max: 25 pts)
☐ 300 to 3000 (25 pts)
☐ 100 to 299 (13 pts)
☐ under 100 (0 pts)
Score: ___ / 25
ERP in use (Max: 15 pts)
☐ Yes (15 pts)
☐ No (0 pts)
Score: ___ / 15
TOTAL SCORE: ___ / 40 (Example figure: replace with your own)
TIER: ☐ A (Hot) ☐ B (Warm) ☐ C (Developing) ☐ D (Unqualified)
Each statement you gave, and what it can do for the model:
None of your criterion values is named in these statements, so the evidence does not yet tell you which value to score highest.
No statement names these yet (that does not mean they are absent; check them against your closed deals): "300 to 3000" (Number of employees); "100 to 299" (Number of employees); "under 100" (Number of employees).
Use page claims and recognition as messaging, not as scoring evidence: score only what you can see in your closed-won and closed-lost deals.
Each discovery question below can become a criterion you score before the first call, if the answer is findable (annual report, job posts, website or CRM):
Even a high score should be reviewed if there is no clear problem or need, a competitor is locked in with a multi-year contract, the decision maker is not accessible, or the budget cycle is more than 6 months away (Example figure: replace with your own).
Objections that are red flags in fintech, spend and expense: our ERP already does this; security and compliance review; migration will disrupt the close; regulatory caution. Check for them before an account scores high.
Add these fields to your CRM to improve scoring over time:
| Field | Type | Why Track |
|---|---|---|
| Days to Close | Number | Correlate with score |
| Win/Loss | Picklist | Validate scoring accuracy |
| Champion Title | Text | Find winning patterns |
| Trigger Event | Text | Identify timing signals |
| Competitor | Picklist | Track displacement success |
To sharpen this, give:
Next Step: Use Buyer Group Analyzer to map decision-making dynamics
Suggested timings, lengths and counts: adjust them to your own.
When a tool is not enough: if the decision needs more than one answer, talk it through in a call. Book 45 minutes with Shashwat.
The tool builds a lead and account qualification scorecard from your criteria (criterion, importance, values), assigning preset example weights by importance (Critical = 25 pts, Important = 15 pts, Nice-to-Have = 5 to 10 pts) and stepping points evenly from the first value (full weight) to the last value (0 pts). It sets four Qualification Tiers (A: Hot at 80%+, B: Warm at 60-79%, C: Developing at 40-59%, and D: Unqualified below 40% of your maximum score), prints a printable Qualification Scorecard Template, checks Evidence in Your Success Pattern, and gives CRM setup and validation steps. The weights are preset examples, not calculated from your CRM data.
Return monthly to adjust the criteria order and importance levels based on actual win/loss data in your CRM, and re-run the model whenever you add a new qualification signal or enter a new sector. The tool applies the same fixed rules every time. It does not call an AI model, and this site does not keep what you enter.
Add ICP Intelligence once (see Use it in Claude, ChatGPT or Gemini), then ask in plain words. Here is a prompt built from the tested example:
My role is not stated. Ask me for my role first. Use ICP Intelligence's ICP Scoring Model tool. product category: spend management software; scoring criteria: Number of employees (importance critical, values 300 to 3000, 100 to 299, under 100); ERP in use (importance important, values Yes, No); success correlation: Customers with an ERP and a finance controller renew most. If this tool is unavailable, ask me to open its web page; do not invent its output. In Gemini CLI or Antigravity, use the Helix GTM Suite skills package for related guidance, without claiming to run this connector.
You do not need to sign in. A web browser is enough, and the answer comes back in a second or two.
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 AI assistant connector run the same tool code, so the same input gives the same answer in both.
MCP tool name: icp_scoring_model. REST: POST https://icp-intelligence.gtmhelix.com/api/tools/icp_scoring_model with this JSON body (see How it works):
{
"input": {
"product_category": "spend management software",
"scoring_criteria": [
{
"criterion": "Number of employees",
"importance": "critical",
"values": [
"300 to 3000",
"100 to 299",
"under 100"
]
},
{
"criterion": "ERP in use",
"importance": "important",
"values": [
"Yes",
"No"
]
}
],
"success_correlation": "Customers with an ERP and a finance controller renew most"
}
}
Run a Helix tool in your browser, then take the result to ChatGPT, Claude or Gemini. Connectors work with supported plans in Claude, ChatGPT, Cursor, VS Code and Windsurf. The Helix GTM Suite skills package supports Claude Code, Gemini CLI, Antigravity, Cursor and VS Code, and is available through skills.sh. Each plugin has its own installation steps, below or on its own page.
Connector setup guides · Skills package setup guide · Find the skills on skills.sh