Observable Filters Guide
Observable filters are searchable criteria that can identify companies or people in databases, LinkedIn, or public records.
The Searchability Test
Ask: "Could I build a prospect list using this filter in LinkedIn Sales Navigator, Crunchbase, or a similar tool?"
- Yes → Valid observable filter
- No → Psychographic trait (avoid)
Valid Observable Filters by Category
Company Size
| Filter |
Data Sources |
| Employee count: 50-200 |
LinkedIn, Crunchbase |
| Revenue: $10M-$50M ARR |
Crunchbase, PitchBook |
| Funding stage: Series A-B |
Crunchbase, news |
| Transaction volume: >10K/month |
Industry reports, case studies |
Examples:
- "Companies with 100-500 employees"
- "Series B+ funded startups"
- "Revenue $5M-$25M"
Industry / Vertical
| Filter |
Data Sources |
| NAICS code |
Census, LinkedIn |
| SIC code |
D&B, industry databases |
| Vertical keywords |
LinkedIn, company websites |
Examples:
- "E-commerce, NAICS 454110"
- "Healthcare SaaS"
- "Manufacturing, automotive tier-1"
Technology Stack
| Filter |
Data Sources |
| Platform used |
BuiltWith, Wappalyzer |
| Tools in stack |
G2, job postings |
| Infrastructure |
BuiltWith, case studies |
Examples:
- "Uses Shopify Plus"
- "Salesforce customers"
- "AWS infrastructure"
- "Job postings mention Kubernetes"
Geography
| Filter |
Data Sources |
| Country/region |
LinkedIn, Crunchbase |
| City tier |
Census data |
| Timezone |
Implicit from HQ |
Examples:
- "US-based, headquarters"
- "EMEA region"
- "Tier-1 US cities (NYC, SF, LA, Chicago)"
Behavioral / Operational
| Filter |
Data Sources |
| Hiring patterns |
LinkedIn jobs, Indeed |
| Growth signals |
News, funding announcements |
| Public metrics |
App stores, SimilarWeb |
Examples:
- "Hiring 3+ engineers this quarter"
- "Monthly active users >100K"
- "Return rate >20%" (via review analysis)
- "NPS mentioned in reviews <30"
Role / Title (B2B)
| Filter |
Data Sources |
| Job title |
LinkedIn |
| Department |
LinkedIn, org charts |
| Seniority level |
LinkedIn |
Examples:
- "VP of Engineering"
- "Head of Operations"
- "Director+ in Finance"
Invalid Filters (Psychographic)
These cannot be searched — avoid them:
| Invalid Filter |
Why It Fails |
Replace With |
| "Innovative companies" |
No database field for innovation |
"Companies with R&D job postings" |
| "Growth-minded founders" |
Mindset not searchable |
"Founders who raised in last 18 months" |
| "Customer-centric" |
Subjective |
"NPS program in place" (job postings) |
| "Forward-thinking" |
Meaningless |
"Early adopters of [specific tech]" |
| "Struggling with X" |
Not observable |
"Job postings for X-related roles" |
| "Ready to buy" |
Intent not visible |
"Actively evaluating" (G2 reviews) |
Filter Specificity Levels
Too Broad (avoid)
- "Tech companies"
- "SMBs"
- "E-commerce stores"
Appropriate Specificity
- "B2B SaaS companies, 50-200 employees, Series A-B"
- "E-commerce stores with $1M+ GMV on Shopify"
- "Manufacturing companies in automotive supply chain"
Too Narrow (watch out)
- "Shopify Plus stores in Austin selling pet products with >$5M revenue founded after 2020"
Overly narrow = tiny addressable market. Aim for segments of 1,000+ potential customers.
Combining Filters
Use 2-4 filters per segment. More filters = smaller segment.
Good combination:
Industry: E-commerce (fashion)
Size: 10K+ monthly orders
Technology: Modern platform (Shopify, BigCommerce)
Geography: US-based
→ ~3,000 companies
Over-filtered:
Industry: E-commerce (fashion)
Size: 10K+ monthly orders
Technology: Shopify Plus specifically
Geography: US-based
Revenue: $10-50M
Founded: 2018-2022
Funding: Series A+
→ ~200 companies (too small)
Data Source Reference
| Source |
Best For |
Access |
| LinkedIn Sales Navigator |
Titles, company size, industry |
Paid |
| Crunchbase |
Funding, revenue estimates |
Freemium |
| BuiltWith |
Technology stack |
Freemium |
| SimilarWeb |
Traffic, engagement |
Freemium |
| G2/Capterra |
Software usage, reviews |
Free |
| Indeed/LinkedIn Jobs |
Hiring signals |
Free |
| Census/NAICS |
Industry classification |
Free |
| Store Leads |
E-commerce specific |
Paid |
Validation Checklist
For each filter, confirm:
1---2name: observable-filters-guide3description: Observable filters are searchable criteria that can identify companies or people in databases, LinkedIn, or public records.4---5# Observable Filters Guide67Observable filters are **searchable criteria** that can identify companies or people in databases, LinkedIn, or public records.89## The Searchability Test1011Ask: "Could I build a prospect list using this filter in LinkedIn Sales Navigator, Crunchbase, or a similar tool?"1213- **Yes** → Valid observable filter14- **No** → Psychographic trait (avoid)1516---1718## Valid Observable Filters by Category1920### Company Size2122| Filter | Data Sources |23|--------|--------------|24| Employee count: 50-200 | LinkedIn, Crunchbase |25| Revenue: $10M-$50M ARR | Crunchbase, PitchBook |26| Funding stage: Series A-B | Crunchbase, news |27| Transaction volume: >10K/month | Industry reports, case studies |2829**Examples:**30- "Companies with 100-500 employees"31- "Series B+ funded startups"32- "Revenue $5M-$25M"3334### Industry / Vertical3536| Filter | Data Sources |37|--------|--------------|38| NAICS code | Census, LinkedIn |39| SIC code | D&B, industry databases |40| Vertical keywords | LinkedIn, company websites |4142**Examples:**43- "E-commerce, NAICS 454110"44- "Healthcare SaaS"45- "Manufacturing, automotive tier-1"4647### Technology Stack4849| Filter | Data Sources |50|--------|--------------|51| Platform used | BuiltWith, Wappalyzer |52| Tools in stack | G2, job postings |53| Infrastructure | BuiltWith, case studies |5455**Examples:**56- "Uses Shopify Plus"57- "Salesforce customers"58- "AWS infrastructure"59- "Job postings mention Kubernetes"6061### Geography6263| Filter | Data Sources |64|--------|--------------|65| Country/region | LinkedIn, Crunchbase |66| City tier | Census data |67| Timezone | Implicit from HQ |6869**Examples:**70- "US-based, headquarters"71- "EMEA region"72- "Tier-1 US cities (NYC, SF, LA, Chicago)"7374### Behavioral / Operational7576| Filter | Data Sources |77|--------|--------------|78| Hiring patterns | LinkedIn jobs, Indeed |79| Growth signals | News, funding announcements |80| Public metrics | App stores, SimilarWeb |8182**Examples:**83- "Hiring 3+ engineers this quarter"84- "Monthly active users >100K"85- "Return rate >20%" (via review analysis)86- "NPS mentioned in reviews <30"8788### Role / Title (B2B)8990| Filter | Data Sources |91|--------|--------------|92| Job title | LinkedIn |93| Department | LinkedIn, org charts |94| Seniority level | LinkedIn |9596**Examples:**97- "VP of Engineering"98- "Head of Operations"99- "Director+ in Finance"100101---102103## Invalid Filters (Psychographic)104105These cannot be searched — avoid them:106107| Invalid Filter | Why It Fails | Replace With |108|----------------|--------------|--------------|109| "Innovative companies" | No database field for innovation | "Companies with R&D job postings" |110| "Growth-minded founders" | Mindset not searchable | "Founders who raised in last 18 months" |111| "Customer-centric" | Subjective | "NPS program in place" (job postings) |112| "Forward-thinking" | Meaningless | "Early adopters of [specific tech]" |113| "Struggling with X" | Not observable | "Job postings for X-related roles" |114| "Ready to buy" | Intent not visible | "Actively evaluating" (G2 reviews) |115116---117118## Filter Specificity Levels119120### Too Broad (avoid)121122- "Tech companies"123- "SMBs"124- "E-commerce stores"125126### Appropriate Specificity127128- "B2B SaaS companies, 50-200 employees, Series A-B"129- "E-commerce stores with $1M+ GMV on Shopify"130- "Manufacturing companies in automotive supply chain"131132### Too Narrow (watch out)133134- "Shopify Plus stores in Austin selling pet products with >$5M revenue founded after 2020"135136Overly narrow = tiny addressable market. Aim for segments of 1,000+ potential customers.137138---139140## Combining Filters141142Use 2-4 filters per segment. More filters = smaller segment.143144**Good combination:**145```146Industry: E-commerce (fashion)147Size: 10K+ monthly orders148Technology: Modern platform (Shopify, BigCommerce)149Geography: US-based150```151→ ~3,000 companies152153**Over-filtered:**154```155Industry: E-commerce (fashion)156Size: 10K+ monthly orders157Technology: Shopify Plus specifically158Geography: US-based159Revenue: $10-50M160Founded: 2018-2022161Funding: Series A+162```163→ ~200 companies (too small)164165---166167## Data Source Reference168169| Source | Best For | Access |170|--------|----------|--------|171| LinkedIn Sales Navigator | Titles, company size, industry | Paid |172| Crunchbase | Funding, revenue estimates | Freemium |173| BuiltWith | Technology stack | Freemium |174| SimilarWeb | Traffic, engagement | Freemium |175| G2/Capterra | Software usage, reviews | Free |176| Indeed/LinkedIn Jobs | Hiring signals | Free |177| Census/NAICS | Industry classification | Free |178| Store Leads | E-commerce specific | Paid |179180---181182## Validation Checklist183184For each filter, confirm:185186- [ ] Can search this in at least one database187- [ ] Returns 1,000+ results (not too narrow)188- [ ] Returns <50,000 results (not too broad)189- [ ] Clearly differentiates from other segments190- [ ] Data source identified