Crunchbase Search Logic Find Signal in the Noise

Crunchbase Search FAQ: Boolean Logic & Hidden Filters

last updated: Apr 1, 2026
You are staring at 15,000 "SaaS" companies, but half of them are actually consulting agencies or zombie projects. You do not need more data; you need to filter the noise to find the signal. Here is how to use Boolean logic to build a list that actually converts.

TL;DR

For those in a rush, here is the summary of what you need to know before building your list.
Crunchbase "Boolean" logic is not typed into a search bar like Google. It is executed via the Query Builder using "Include" (OR/AND) and "Exclude" (NOT) toggles to strip junk leads from your pipeline. For a broader view of setting this up, check our guide on Crunchbase search strategy.

  • Benchmark: A healthy lead list should be 8-12% of the total Initial Search results (e.g., 50k results becomes 4,000-6,000 qualified targets).
  • Rule: Always exclude "Consulting" and "Agency" keywords if you are selling B2B SaaS software.
  • Warning: The "Headquarters" filter defaults to "Include", causing you to miss remote-first companies if you are not careful.

Glossary

  • Query Builder: The advanced search interface in Crunchbase Pro/Enterprise where true filtering happens.
  • Include (OR Logic): When you select multiple tags in one filter (e.g., Industries: FinTech, InsurTech), Crunchbase treats this as "Show me A OR B".
  • Exclude (NOT Logic): The red "X" or "Does not include" option. This is your most powerful tool for removing false positives (e.g., Exclude Industry: "Recruiting" to clean a HR-Tech list).
  • Description Keywords: A text filter that scans company bios. This is where you can manually type phrases to include or exclude.
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How to configure high-intent filters

Below are the exact configurations for the three most high-value search scenarios. Open Crunchbase Pro, navigate to Advanced Search, and select Query Builder.

Scenario 1: The "fresh cash" sprint (just raised)

Target: Companies that have money to spend right now, before they hire a gatekeeper.
Filter Field
Setting / Value
Logic
Last Funding Date
Past 30 Days (or specific date range)
Finds fresh capital events.
Last Funding Type
Seed, Series A, Series B
Excludes Grants, Debt, and IPOs (unless that's your target).
Headquarters
Include: [Your Target Region]
Ensures geo-fit.
Description Keywords
Exclude: "Stealth"
Removes companies with no contact info/website yet.
Scenario 2: The "signal cleaner" (using NOT logic)

Target: Pure-play software companies, filtering out agencies that "do software development". This is essential for proper B2B search filtering.
Filter Field
Setting / Value
Logic
Industries
Include: SaaS, Enterprise Software
Broad catchment area.
Industries (Again)
Exclude: IT Consulting, Service Industry, Agency
The Kill Switch. Removes dev shops.
Description Keywords
Exclude: "we build", "solutions for", "custom development"
Text-based exclusion for agencies that mislabel themselves as SaaS.
Employee Count
11-50 or 51-100
Filters out 1-person consultancies.
Scenario 3: The "anti-portfolio" (exclude competitors)

Target: Companies using a specific tech stack or in a niche, but NOT your direct rivals.
Filter Field
Setting / Value
Logic
Description Keywords
Includes: [Problem Keyword]
e.g., "Project Management".
Organization Name
Exclude: [Competitor A], [Competitor B]
Manually remove the big players you already know.
Hub tags
Exclude: Unicorn
Removes companies too big to take your call.
CRM Filter
Exclude: Accounts in My CRM
Critical. Do not prospect current clients. Requires Salesforce/HubSpot sync.

Benchmarks

Refining your list is not just about aesthetics; it is about math. A smaller, cleaner list always outperforms a large, dirty one.

Sample math: The cost of noise
Let's look at the numbers if you process 1,000 raw leads versus 200 refined leads.
  • Scenario A (Raw List): 1,000 leads. 40% are agencies/irrelevant. You send 1,000 emails. 400 are wasted immediately. Open rates drop due to spam flags. Result: 2-3 meetings.
  • Scenario B (Refined List): You apply the filters above. You are left with 200 leads. You research them manually. You send 200 highly personalized emails. Open rates hit 40-50%. Result: 8-12 meetings.

The Reality: You can manually research 200 leads in one day. You cannot research 1,000. Quality beats quantity every time.

Basic search vs query builder

Most founders mistake the top search bar for the actual tool. Here is why you must switch.
Feature
Basic Search (Top Bar)
Query Builder (Advanced)
Primary Use
Finding a specific company name.
Building a list of unknown prospects.
Boolean Logic
None (Simple keyword match).
Full AND/OR/NOT logic layers.
Precision
Low (Lots of false positives).
High (Granular control).
Export
Limited.
Full CSV/CRM export capabilities.

Risks

Even with perfect logic, the database has flaws. Be aware of these risks.
  • Self-Reported Tags: Companies choose their own industries. A marketing agency will tag itself as "SaaS" to appear more valuable. Relying solely on industry tags will result in 15-20% false positives. You must use Boolean exclusions in the Description Keywords to catch these.
  • Data Decay: B2B data decays at a rate of roughly 22-30% per year. A company marked as "Active" may have shut down last month. Always verify the domain exists before emailing.
  • Remote HQ: Filtering by "San Francisco" often excludes fully remote teams that list their HQ as "United States" or a founder's home address in a different state.

Conclusion

Mastering these filters is a necessary step, but it is not the whole picture. Data provides the target, but it does not provide the bullet.

Do not spend 40 hours tweaking the "Description Keywords" filter to perfection. Spend 4 hours building a "Good Enough" list and 36 hours calling them. The latter path hits $10k MRR; the former hits "Analysis Paralysis". Use the filters to remove the obvious trash, then follow the Crunchbase export workflow and get to work. This is why I built Traction OS. Fix your foundation before you launch.
FAQ
  • You:
    Can I use standard Boolean strings (AND/OR/NOT) in the main search bar?
    Guide:
    No. Crunchbase's main search bar is primarily for finding specific entity names. You must use the Advanced Search / Query Builder to construct logic. The "Description Keywords" filter within Advanced Search accepts some phrases, but you are better off using the specific "Include" and "Exclude" dropdowns for precision.
  • You:
    How do I find companies that use a specific technology (e.g., AWS)?
    Guide:
    Crunchbase has a "BuiltWith" integration filter called "Technology Used". You can select "Include: Amazon Web Services". You can verify what technologies are tracked on the Crunchbase Marketplace. However, this data is often incomplete. A better proxy is often searching for "cloud native" in the Description Keywords.
  • You:
    Why do I still see "Consulting" firms even after excluding the Industry?
    Guide:
    Companies self-report their industries. A dev shop might tag themselves as "SaaS" because they sell to SaaS companies. To fix this, use the Description Keywords filter to exclude terms like "services", "bespoke", "custom", and "clients".
  • You:
    How can I exclude my existing customers from the search results automatically?
    Guide:
    If you have Crunchbase Pro or Enterprise, connect your Salesforce or HubSpot account. Then, in the Query Builder, look for the "CRM" section and select "Exclude Accounts in My CRM". This prevents you from embarrassing yourself by pitching a current customer.
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