Scenario
You just had a discovery call with a prospect (or won customer). The call transcript contains valuable signals about:- Why they were interested (hypothesis validation)
- What language resonated
- Specific pain points they mentioned
- Objections or concerns
- Proof point opportunities
Starting Prompt
PropertyFlow fits a new ICP profile: Property tech platforms building tenant/vendor evaluation features. Similar to procurement/scoring use cases, but focused on SMB tenants in commercial real estate.
”A property tech platform cut tenant evaluation time from 20 minutes to under 30 seconds using Extruct’s search API.”
”PropertyFlow chose Extruct for tenant screening because our SMB coverage exceeded traditional data providers by 3x.”
”PropertyFlow uses Extruct’s free search tier for unlimited tenant lookups, only paying for enrichment when they need deeper research.”
Yes, update the context file. Add:
1. PropertyFlow as a "potential win case" (in evaluation)
2. New ICP profile for property tech
3. Add "SMB Data Gap" as a new hypothesis
4. Add the messaging validation notes to the hypothesis section
Don't add proof points yet — we'll add those if they close.
## ICP
### Primary profiles
| Profile | Company size | Roles | Geographies | Why they buy |
|---------|-------------|-------|-------------|-------------|
| Sales/Marketing Intelligence | 50-500 | Head of Sales, Ops | US, UK, EU | Lead enrichment, scoring |
| Procurement Platforms | 20-200 | Head of Product, Eng | US, UK | Vendor scoring, supplier intel |
| **Property Tech Platforms** | **20-200** | **Head of Product, Eng** | **US** | **Tenant/vendor screening, business verification** |
| Fintech/Risk | 50-500 | Head of Risk, Compliance | US, UK | Credit risk, KYB verification |
| Marketplaces | 50-300 | Head of Product, Ops | Global | Partner verification, matching |
## Win Cases
| Customer | Profile | What worked | Result | Date |
|----------|---------|------------|--------|------|
| SupplierIQ | Procurement | Free search tier + SMB coverage | Auto-scoring for 500+ vendors/mo | 2025-01 |
| [... existing win cases ...] |
| **PropertyFlow** | **Property tech, tenant screening** | **SMB coverage, free search, API-first** | **Evaluation stage (sandbox)** | **2025-03** |
### Quotes / signals from wins
- "We tried building scrapers — spent 3 weeks, it kept breaking. Not our core competency." — PropertyFlow (Sarah, Head of Product)
- "Clearbit's coverage is mostly tech companies and larger businesses — we need smaller, local businesses too." — PropertyFlow
- "The fact that you have SMB coverage and free search is already way ahead of the other options we've looked at." — PropertyFlow
## Active Hypotheses
### Validated (reply rate > 10%)
1. **B2B Scoring Workflows** — Companies building features to score, evaluate, or rank businesses (vendors, leads, tenants, partners). Pain: manual lookups (20-30 min each), unreliable data from Google/LinkedIn. **Validated by:** SupplierIQ, PropertyFlow eval. Best fit: Procurement, sales tools, property tech, marketplaces.
### Testing
2. **Enrichment at Scale** — Sales/marketing tools enriching leads or CRM records. High volume, need API reliability. Best fit: Sales intelligence, CRM enrichment.
3. **Risk & Compliance Screening** — Fintech platforms screening counterparties or assessing credit risk. Best fit: Fintech, lending, payments.
4. **Discovery & Matching** — Platforms helping users discover/match relevant companies. Best fit: Marketplaces, VC platforms, recruiting.
5. **SMB Data Gap** *(NEW)* — Products serving customers who need data on small/local businesses, not just large tech companies. Pain: Traditional data providers (Clearbit, ZoomInfo) have poor SMB coverage. **Validated by:** PropertyFlow eval (explicitly cited as Clearbit's weakness). Best fit: Property tech, local business directories, SMB-focused fintech, franchise platforms.
### Messaging Validation (from PropertyFlow call)
- ✅ "API-first" vs building scrapers — resonates with product/eng personas
- ✅ "Free search tier" — strong differentiator, removes evaluation friction
- ✅ "SMB coverage" — critical for property tech, procurement, local business use cases
- ✅ Technical, concise tone — appreciated by product leaders
- ✅ Transparent pricing — asked directly, no hesitation on our side
### #5 SMB Data Gap
Products serving customers who need company data on small and local businesses,
not just large tech companies or enterprises. Traditional providers like Clearbit
and ZoomInfo focus on 500+ employee companies and miss SMBs (10-100 employees).
This creates a data gap for:
- Property tech platforms screening small business tenants
- Procurement platforms evaluating local suppliers
- Franchise platforms verifying franchisee businesses
- Local business directories or review platforms
Best fit: Property tech, procurement (local suppliers), SMB fintech, franchise
platforms, local business SaaS.
Search angle: "property tech tenant screening", "local business verification software",
"franchise management platforms", "SMB-focused B2B data"
Signals captured and context updated. Here’s what I recommend next:
- Follow up with PropertyFlow — send API docs + sandbox key (you mentioned this on the call)
- Test “SMB Data Gap” hypothesis — run a list-building search for SMB-focused use cases:
- Franchise platforms
- Local business SaaS
- SMB fintech
- Email prompt update — add “SMB coverage” as a value prop angle to your property tech email templates
- Proof points — if PropertyFlow closes, add the proof point candidates to your Proof Library
- Campaign feedback loop — if you have an active property tech campaign, review if “SMB coverage” messaging should be emphasized
Yes, run a list-building search for SMB-focused platforms.
Let's test the "SMB Data Gap" hypothesis.
# Query 1: Franchise platforms
curl -X GET "https://api.extruct.ai/v1/companies/search" \
-d '{
"q": "franchise management platforms and software for franchise operations",
"filters": {"include": {"employee_count": ["11-50", "51-200"]}},
"limit": 100
}'
# Query 2: Local business verification
curl -X GET "https://api.extruct.ai/v1/companies/search" \
-d '{
"q": "local business verification and data platforms for SMB intelligence",
"limit": 100
}'
# Query 3: SMB fintech
curl -X GET "https://api.extruct.ai/v1/companies/search" \
-d '{
"q": "fintech and lending platforms focused on small business credit and verification",
"limit": 100
}'
Found 267 unique companies across 3 queries.
Created table:
tbl_smb_data_gap_hypothesis
View at: https://app.extruct.ai/tables/tbl_smb_data_gap_hypothesis
Final Artifacts
Updated context file:- Added “Property Tech Platforms” ICP profile
- Added PropertyFlow as potential win case with quotes
- Added “SMB Data Gap” hypothesis to Active Hypotheses
- Added messaging validation notes
- Added Hypothesis #5: SMB Data Gap
Key Takeaways
Call recording capture mode is valuable for:- ICP refinement — Discover new profiles (property tech) from real conversations
- Hypothesis validation — Confirm which pain points resonate in discovery calls
- Proof point sourcing — Capture quotes and metrics for future proof library entries
- Messaging optimization — Learn what language and positioning works (“SMB coverage”, “free tier”)
- Continuous learning — Every call improves your context file and campaign targeting
Workflow Frequency
Run call recording capture after:- Every demo or discovery call (during sales)
- Closed-won deals (capture full win case)
- Customer onboarding calls (learn actual use cases)
- Lost deals (capture objections and anti-patterns)