ICP Intelligence report
ICP Gap Analysis: your result
This answer uses a made up example company. Change the details above and press Run to see your own result.
ICP Gap Analysis
For founders and CMOs. The decision: are we selling to the customers we meant to?
Give it your current customer base and your ideal customer profile, and get back the gaps between them, their likely causes, criteria to add or rule out and a 30 day action plan.
Compare your current customer base description against your ideal customer profile across segments, company size, buyer role, and problem, and calculate metric gaps across average ACV, sales cycle, win rate, churn rate, and NPS. Get causes to check, must-have and disqualification criteria, and a four-week action plan in ICP Gap Analysis.
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.
Your current base lists founder-run finance. Your ideal profile names no industry; it describes the customers by what they do or need (“Mid-size companies with and an ERP”), so it does not yet say which of these industries to put first. Your ideal buyer is finance controller; your current base does not say who bought, so that is the first thing to check in your CRM. On the figures you gave, the largest gap is average ACV (+300% needed).
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: not clear from what you sell. Business model: not stated. Tell us how you charge and the plan will adjust.
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Your current base lists founder-run finance. Your ideal profile names no industry; it describes the customers by what they do or need (“Mid-size companies with and an ERP”), so it does not yet say which of these industries to put first. Your ideal buyer is finance controller; your current base does not say who bought, so that is the first thing to check in your CRM. On the figures you gave, the largest gap is average ACV (+300% needed).
Your ideal profile says Mid-size; your current base says under 200 employees and Small. They do not use the same size words, so compare them in your CRM by employee count.
Your ideal profile mentions finance controller, and your current base does not say who bought.
Neither profile names the problem that makes a customer buy.
| Metric | Current | Target | Gap | Priority |
|---|---|---|---|---|
| Avg ACV | $6,000 | $24,000 | +300% needed | High |
| Sales Cycle | 30 days | 60 days | target is 100% above today, no reduction needed | Low |
| Win Rate | 25% | 30% | +20% needed | Low |
| Churn Rate | 18% | 8% | -56% needed | High |
| NPS | 28 | 45 | +17 points needed | High |
No gap on sales cycle: you are at or better than your target there, so there is nothing to fix on it.
Every line below comes from your two texts or your figures.
Week 1, find out what is true. Pull win rate, ACV and churn for founder-run finance. From your last won deals, write down the title that signed and compare it with finance controller, and tag each deal with the problem it solved. Done when each segment has its three numbers and each won deal has a signer and a problem.
Week 2, build the list. Make a target list for founder-run finance, with a named contact (finance controller) for each account. Write one opening message per segment that starts from the problem you sell against. Done when every account on the list has a contact and a first message.
Week 3, get ready to be asked. Collect proof for each target segment from your won deals. Check the price and scope against your target of $24,000. Run the pricing step listed under the ACV gap. Done when each segment has one proof point.
Week 4, check and decide. Re-score the open pipeline against the criteria above and look again at average ACV, win rate, churn and NPS. Done when you have a one page ICP with the segments you will pursue, the buyer, the problem and the disqualifiers.
To sharpen this, give:
Next Step: Use ICP Evolution Tracker to monitor ICP changes over time
Suggested timings, lengths and counts: adjust them to your own.
The gaps between current customers and the target in this page's example answer; the NPS gap is in points, the others in percent. Example figure: replace with 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 compares your Current customers text and metrics against your Ideal ICP text and target metrics (Avg ACV, Sales Cycle, Win Rate, Churn Rate, and NPS). It prints The short version, Who you sell to today and who you want (highlighting where size words, buyer titles, industries, or problems do not match), a Metric gaps table with High and Low priority flags, Causes to check, Recommended ICP Refinements (Must-Have Criteria and Disqualification Criteria), and a week-by-week 30-Day Action Plan. If a current metric is already at or better than your target (such as a 30-day sales cycle against a 60-day target), it marks no reduction needed.
Come back at the end of the 30-day action plan with the actual signer titles, employee counts, and updated pipeline metrics to verify that the gap between your current customer base and your ideal ICP is closing. 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 Gap Analysis tool. current customers: Small companies under 200 employees, founder-run finance; ideal ICP: Mid-size companies with a finance controller and an ERP; current metrics: avg ACV 6000, avg sales cycle 30, win rate 25, churn rate 18, NPS 28; target metrics: avg ACV 24000, avg sales cycle 60, win rate 30, churn rate 8, NPS 45. 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_gap_analysis. REST: POST https://icp-intelligence.gtmhelix.com/api/tools/icp_gap_analysis with this JSON body (see How it works):
{
"input": {
"current_customers": "Small companies under 200 employees, founder-run finance",
"ideal_icp": "Mid-size companies with a finance controller and an ERP",
"current_metrics": {
"avg_acv": 6000,
"avg_sales_cycle": 30,
"win_rate": 25,
"churn_rate": 18,
"nps": 28
},
"target_metrics": {
"avg_acv": 24000,
"avg_sales_cycle": 60,
"win_rate": 30,
"churn_rate": 8,
"nps": 45
}
}
}
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