Here are the exact queries I use to build high-intent outbound lists. Read my
Crunchbase search SaaS guide for deeper platform mechanics.
- Pre-seed momentum: Filter for companies that raised $1M-3M in the last 3-6 months. Set industry to 'Software as a Service' and restrict headquarters to your target region.
- Series A scale-up phase: Search for recent Series A funding events with a minimum of 20-30 employees. Add a filter for active hiring in specific departments using my Crunchbase search strategy 2025 principles.
- Bootstrapped revenue generators: Ignore funding data completely and filter for estimated revenue ranges of $5M-10M with a steady headcount.
- Post-Series B enterprise: Target companies with $50M-100M in total funding and a populated C-level executive list. Ensure headcount growth is above 10-15%.
- Tech stack specific SaaS: Combine SaaS industry filters with Crunchbase advanced search technologies to spot BuiltWith data. Target companies using specific CRM or marketing tools to personalize your outreach.
Use this Crunchbase account research template below to map the final targets before loading them into your sequencer:Company Name | Last Funding Round Date | Headcount Growth % | Tech Stack Added (Last 30 days) | Recent C-Level Hire Name & Title
Hyper-segmented lists driven by these queries generate up to a
15-20% reply rate compared to the standard 1-2% from unsegmented lists.
Sample math: A raw list of 10,000 SaaS companies drops to 400-500 high-intent targets after applying these filters. Assuming a standard
B2B outbound conversion rate of 2.0-3.5% (cold call-to-meeting), this refined list yields 10-17 qualified meetings.