Filters are the heart of A-Leads. They let you narrow down millions of records into a precise list of prospects that match your ideal customer profile (ICP).
Instead of downloading giant, messy lists, you can layer filters to find the right people, at the right companies, at the right time.
🎯 Job Titles & Seniority
- Search by specific job titles (e.g., “Marketing Manager,” “CTO”).
- Or by seniority levels like C-Level, VP, Director, Manager, Staff.
- Combine both for precision:
- VP of Sales ✅
- Sales Associate ❌
- 🔑 Use Case: Target decision-makers only. Example: “CMO or VP of Marketing at mid-market SaaS companies.”
🏢 Industries & Sub-Industries
- Choose from broad industries (e.g., Healthcare, SaaS, Manufacturing).
- Drill down into sub-industries (e.g., Biotech, EdTech, FinTech).
- Helpful for B2B vertical targeting.
- 🔑 Use Case: Find “Healthcare Tech companies with 200–1,000 employees in North America.”
📍 Location
- Filter by country, state, city, or region.
- Useful for regional sales teams or compliance-specific targeting.
- 🔑 Use Case: “CFOs in Germany at logistics companies with >500 employees.”
📈 Company Revenue & Size
- Target by annual revenue (e.g., $1M–$10M, $10M–$100M, $100M+).
- Or by employee count (e.g., 1–50, 51–200, 201–1,000+).
- 🔑 Use Case: Match your ICP → “SaaS companies with 50–500 employees and $10M–$50M revenue.”
⚙️ Technology Stack
- See which tools or platforms companies use.
- Example categories: CRM, marketing automation, cloud hosting, e-commerce platforms, analytics tools.
- 🔑 Use Case: “Companies using Salesforce + HubSpot in the US with 200–500 employees.”
🔑 Keywords
- Search company descriptions for specific keywords.
- Useful for niche targeting where industry tags aren’t enough.
- 🔑 Use Case: “Companies with ‘AI’ or ‘machine learning’ in their profile.”
🔄 Job Change Alerts
- Find people who just moved into new roles.
- These contacts are often more open to new vendors, as they bring fresh budgets and strategies.
- 🔑 Use Case: “New VP of Sales hires at FinTech companies in the past 90 days.”
🔥 Buying Intent Signals
- Identify companies that are actively researching your type of solution.
- Intent is tracked from content consumption, product searches, and behavior patterns.
- Score ranges from low → medium → high.
- 🔑 Use Case: “Companies showing high intent for ‘CRM software’ in the last 30 days.”
📊 Example of a Filtered Search
ICP: Mid-sized SaaS companies in the US looking for sales enablement tools.
Filters applied:
- Job Title: “VP of Sales” or “Sales Director”
- Industry: SaaS
- Company Size: 200–500 employees
- Location: United States
- Technologies: HubSpot or Salesforce
- Buying Intent: High (CRM / sales automation category)
Result: A list of verified decision-makers who are actively in-market and fit your ICP.
🚀 Key Takeaway
Filters are how you go from millions of contacts → to a hyper-targeted, high-converting list. The more precise you are with job titles, industries, revenue, and intent, the higher your ROI on every lead.
