Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Score and qualify prospects against your Ideal Customer Profile using firmographic, technographic, and behavioral criteria
日本語の概要は準備中です。原文の説明を表示しています。
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Systematically evaluate prospects against your Ideal Customer Profile to prioritize high-fit accounts and improve SDR efficiency.
Based on TOPO ICP Framework and Gartner B2B Buying Research, combining:
| Claude Does | You Decide |
|---|---|
| Structures ICP framework | ICP criteria values |
| Scores prospects against ICP | Pass/fail thresholds |
| Identifies fit gaps | Prioritization rules |
| Suggests disqualification | Exception handling |
| Ranks prospect lists | Territory assignments |
Firmographic Criteria:
| Attribute | Ideal | Acceptable | Disqualify |
|---|---|---|---|
| Company Size | 100-1000 | 50-2000 | <25 or >5000 |
| Revenue | $10M-$500M | $5M-$1B | <$2M |
| Industry | SaaS, Tech | Professional Services | Government |
| Geography | US, Canada | UK, EU | APAC |
| Growth Stage | Series A-C | Seed, Series D+ | Pre-seed |
Technographic Criteria:
| Attribute | Ideal | Acceptable | Disqualify |
|---|---|---|---|
| CRM | Salesforce | HubSpot | None |
| Tech Stack | Modern | Mixed | Legacy only |
| Competitors | None installed | Evaluating | Locked in |
Persona Criteria:
| Attribute | Ideal | Acceptable | Disqualify |
|---|---|---|---|
| Title | VP/Director | Manager | Coordinator |
| Department | Sales, Marketing | RevOps | IT |
| Decision Power | Budget authority | Influencer | User only |
Scoring Model:
ICP Score =
(Firmographic × 40%) +
(Technographic × 30%) +
(Persona × 30%)
Each dimension: 0-100 points
Score Interpretation:
| Score | Fit | Action |
|---|---|---|
| 80-100 | Excellent | Prioritize immediately |
| 60-79 | Good | Standard outreach |
| 40-59 | Fair | Nurture, low priority |
| <40 | Poor | Disqualify |
For each prospect:
Output:
## Ideal Customer Profile: B2B Sales Tech Company
### Tier 1 (Excellent Fit - 80-100)
**These are your ideal targets. Prioritize always.**
**Company:**
- Size: 100-500 employees
- Revenue: $20M-$200M ARR
- Stage: Series B or C funded
- Industry: B2B SaaS
- Growth: 30%+ YoY
- Location: US/Canada
**Technology:**
- CRM: Salesforce
- Stack: Modern (cloud-native)
- Current solution: None or legacy competitor
**Buyer:**
- Title: VP Sales, CRO, Head of Sales
- Reports to: CEO/COO
- Budget: >$50K annually
---
### Tier 2 (Good Fit - 60-79)
**Worth pursuing with standard effort.**
**Company:**
- Size: 50-100 OR 500-1000 employees
- Revenue: $10M-$20M OR $200M-$500M
- Stage: Series A or D
- Industry: B2B Tech (not pure SaaS)
- Location: UK, EU
**Technology:**
- CRM: HubSpot
- Stack: Mix of modern/legacy
- Current solution: Considering change
**Buyer:**
- Title: Director of Sales Ops
- Reports to: VP Sales
- Budget: $25K-$50K annually
---
### Tier 3 (Fair Fit - 40-59)
**Nurture only. Don't prioritize.**
**Company:**
- Size: 25-50 OR 1000-2000 employees
- Revenue: $5M-$10M
- Stage: Seed
- Industry: Professional services
**Buyer:**
- Title: Sales Manager
- Budget: <$25K
---
### Disqualified (Score <40)
**Do not pursue. Auto-reject.**
- Company size <25 employees
- Revenue <$2M
- Industry: Government, Education, Non-profit
- Geography: APAC, LATAM (no support)
- Competitor locked in (multi-year contract)
- No CRM in use
- Title: Individual contributor
Input:
Score this prospect:
Company: GrowthTech Inc
Employees: 280
Revenue: $45M (estimated)
Industry: B2B SaaS
Founded: 2019
Location: Austin, TX
Recent news: Series B ($30M) in January
Tech Stack:
- CRM: Salesforce Enterprise
- Marketing: Marketo
- No sales engagement tool
Contact: Jennifer Wu
Title: VP of Revenue Operations
LinkedIn: Active, posts about sales productivity
Previous company: Used our competitor
Output:
## ICP Match: GrowthTech Inc
### Overall Score: 92/100 ⭐ EXCELLENT FIT
---
### Firmographic Score: 95/100
| Criteria | Finding | Points |
|----------|---------|--------|
| Size (280 emp) | ✅ Ideal (100-500) | 20/20 |
| Revenue ($45M) | ✅ Ideal ($20-200M) | 20/20 |
| Industry (B2B SaaS) | ✅ Ideal | 20/20 |
| Stage (Series B) | ✅ Ideal | 20/20 |
| Location (US) | ✅ Ideal | 15/15 |
| **Subtotal** | | **95/100** |
### Technographic Score: 90/100
| Criteria | Finding | Points |
|----------|---------|--------|
| CRM (Salesforce) | ✅ Ideal | 35/35 |
| Stack (Modern) | ✅ Marketo + SF | 25/25 |
| Competition | ✅ None installed | 30/30 |
| **Subtotal** | | **90/100** |
### Persona Score: 92/100
| Criteria | Finding | Points |
|----------|---------|--------|
| Title (VP RevOps) | ✅ Decision maker | 35/35 |
| Department | ✅ Revenue Operations | 25/25 |
| Activity | ✅ Active on LinkedIn | 15/20 |
| Previous | ✅ Knows competitor | 15/15 |
| **Subtotal** | | **92/100** |
---
### Weighted Total
(95 × 0.40) + (90 × 0.30) + (92 × 0.30) = 38 + 27 + 27.6 = 92.6 → 92/100
---
### Match Summary
**🎯 Tier 1: Excellent Fit**
**Strengths:**
1. Perfect company size/stage/industry
2. Salesforce user (easy integration story)
3. VP RevOps = ideal buyer persona
4. Recent funding = budget available
5. No competitor installed = greenfield
**Conversation Angles:**
1. "Congrats on Series B! How is that affecting your sales team scale?"
2. "I noticed you're not using a sales engagement tool yet—most RevOps leaders at your stage are building that out now."
3. "Given your Salesforce/Marketo stack, our integration would be seamless."
**Risk Factors:**
- None identified
**Priority: Immediate outreach**
Add to top of SDR queue. High-value, high-probability.
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
日本語の概要は準備中です。原文の説明を表示しています。
Assess customer account health using product usage, support sentiment, payment status, and relationship signals
日本語の概要は準備中です。原文の説明を表示しています。
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
日本語の概要は準備中です。原文の説明を表示しています。
Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
日本語の概要は準備中です。原文の説明を表示しています。