Ideal Customer Profile Builder
Build a data-driven Ideal Customer Profile (ICP) that aligns sales and marketing on exactly which companies to target, with firmographic, technographic, and behavioral criteria plus disqualification signals.
Prompt Template
You are a B2B sales strategist and revenue operations expert. Help me build a rigorous Ideal Customer Profile (ICP) to focus my sales and marketing efforts. Business context: - What we sell: [product/service description] - Pricing: [price range / typical deal size] - Sales cycle: [average length] - Current best customers: [describe your top 5-10 customers — industry, size, what they love about you] - Customers that churned or were problematic: [describe 3-5 — why they left or were a bad fit] - Vertical/industry focus: [specific industries or "horizontal"] - Geographic market: [regions/countries] - Current sales team size: [number of reps] - ACV (Annual Contract Value) target: [target deal size] Please create: 1. **ICP Definition** — A clear, actionable profile with weighted criteria: - Firmographic criteria (industry, company size, revenue, growth stage, geography) - Technographic criteria (tech stack signals, tools they use, platforms) - Behavioral criteria (buying triggers, pain indicators, timing signals) - Budget & authority indicators (who has budget, typical buying committee) - Assign weights (must-have vs. nice-to-have vs. bonus) to each criterion 2. **ICP Scoring Matrix** — A point-based scoring system to rank prospects: - Tier A (90-100): Perfect fit — prioritize immediately - Tier B (70-89): Strong fit — worth pursuing - Tier C (50-69): Possible fit — qualify further - Below 50: Not ICP — do not pursue - Include the specific scoring rubric 3. **Disqualification Criteria** — Red flags that signal a prospect is NOT a good fit (even if they seem interested): - Company characteristics to avoid - Behavioral signals that predict churn or bad deals - Deal dynamics that lead to loss (e.g., too many stakeholders, no champion) 4. **ICP Personas** — 2-3 buyer personas within ICP companies: - For each: title, responsibilities, pain points, what they Google, how they evaluate solutions, objections they raise 5. **Prospecting Playbook** — How to find and prioritize ICP companies: - LinkedIn Sales Navigator filters - Intent data signals to monitor - Trigger events that indicate buying readiness - Recommended prospecting sequence 6. **ICP Alignment Checklist** — A one-page checklist for SDRs/AEs to qualify a prospect against the ICP in under 2 minutes.
Example Output
# Ideal Customer Profile: DataPipe (Data Integration SaaS, $15K-$80K ACV)
1. ICP Definition
Firmographic Criteria
| Criterion | Ideal | Weight |
|-----------|-------|--------|
| Industry | SaaS, fintech, e-commerce, healthtech | Must-have |
| Company size | 100-1,000 employees | Must-have |
| Annual revenue | $10M-$200M | Must-have |
| Growth stage | Series B through pre-IPO | Nice-to-have |
| Geography | US, UK, Canada, DACH | Must-have |
| Data team size | 3-20 people | Must-have |
Technographic Criteria
| Signal | What It Means | Weight |
|--------|---------------|--------|
| Uses Snowflake, BigQuery, or Redshift | They have a modern data warehouse (our integration target) | Must-have |
| Has 3+ SaaS data sources (Salesforce, HubSpot, Stripe, etc.) | They need data integration | Must-have |
| Currently using Fivetran, Airbyte, or Stitch | Replacement opportunity — they know the category | Bonus |
| Uses dbt | Signal of data maturity — great fit | Nice-to-have |
| Built internal pipelines | Pain is real, engineering wants to stop maintaining them | Must-have |
Behavioral / Timing Triggers
| Trigger | Why It Matters |
|---------|----------------|
| Just hired a Head of Data or Analytics Engineer | New leader = new tools budget |
| Job posts mentioning "data pipeline" or "ETL" | They're investing in this area |
| Recently raised a funding round | Budget unlocked |
| Migrating to cloud data warehouse | They'll need new integrations |
| Posting complaints about current tool on social/communities | Active pain |
2. ICP Scoring Matrix
| Category | Criteria | Points |
|----------|----------|--------|
| **Industry** (max 20) | Target industry: 20 / Adjacent: 10 / Other: 0 | /20 |
| **Company size** (max 20) | 100-1K employees: 20 / 50-99 or 1K-2K: 10 / Other: 0 | /20 |
| **Tech stack** (max 25) | Modern warehouse: 15 / 3+ SaaS sources: 10 | /25 |
| **Data team** (max 15) | 3-20 people: 15 / 1-2: 8 / None: 0 | /15 |
| **Timing trigger** (max 10) | Active trigger: 10 / Recent: 5 / None: 0 | /10 |
| **Budget signals** (max 10) | Recent funding or known budget: 10 / Unknown: 3 | /10 |
**Tier A (90-100):** Drop everything — outreach within 24 hours
**Tier B (70-89):** Strong fit — add to active prospecting sequence
**Tier C (50-69):** Qualify further — needs discovery call before investing time
**Below 50:** Not ICP — deprioritize or nurture with content only
3. Disqualification Criteria 🚫
- Company has < 50 employees (deal size won't justify sales effort)
- No data warehouse and no plans to adopt one
- Currently in a 2+ year contract with a competitor (locked in)
- Buying committee > 7 people with no identified champion
- Prospect asks for custom on-prem deployment (not our model)
- Industry with heavy regulatory data restrictions we don't support (e.g., defense)
6. Quick Qualification Checklist (2-Minute SDR Check)
□ Company has 100-1,000 employees?
□ In target industry (SaaS, fintech, e-commerce, healthtech)?
□ Uses a cloud data warehouse (Snowflake/BigQuery/Redshift)?
□ Has 3+ SaaS tools generating data?
□ Has a data team (at least 1 dedicated data person)?
□ No disqualification flags?
Score: ___/6
→ 5-6: Tier A — prioritize outreach
→ 3-4: Tier B — add to sequence
→ 1-2: Likely not ICP — skip
Tips for Best Results
- 💡Build your ICP from your best existing customers, not from aspirational targets — analyze what your top 10 paying customers have in common.
- 💡Review and tighten your ICP every quarter. As your product evolves, your ideal customer shifts too.
- 💡Share the ICP scoring matrix with both sales AND marketing — misalignment between the two is the #1 cause of wasted pipeline.
- 💡Include disqualification criteria. Knowing who NOT to sell to saves more time than knowing who to target.
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