THIS ARTICLE IS FOR: ✅ Self-Serve
Stage: Trial / Onboarding / Live
Owner: CS
Last updated: 2026-7-27
TL;DR
Building a campaign-ready list follows a repeatable sequence: define your ICP, apply identity filters, layer firmographic filters, add Job Titles, check counts, then export.
Always review lead counts before exporting to estimate volume and credit usage.
Choose export fields deliberately — some are free, others use credits.
Save your finished filter set so the campaign is easy to relaunch or iterate on later.
When you'd use this / Why it matters
This is the full, end-to-end workflow for going from a blank search to a clean, exported list ready for your outreach tool — useful any time you're starting a new campaign from scratch.
Step 1: Define your ICP
Before opening any filters, know:
What type of company you're targeting
Who inside that company you need to reach
What geography matters (business location, not personal)
Step 2: Start with an identity filter
Choose one:
Keywords — best for niche or specific self-described businesses
Industry — best when you already know your target verticals
AI Company Search — best for fast, plain-English discovery
See "How do I use AI Search to find leads in plain English?" and "What search filters are available in ListKit?" for details on each.
Step 3: Layer firmographic filters
Add:
Employees (select multiple adjacent ranges)
Revenue Range (if relevant to your price point)
Funding (if your offer is growth or scaling-related)
Technology (if your offer depends on a specific tool/ecosystem)
Step 4: Add Job Titles
Include leadership titles plus department-specific roles relevant to your offer. Keep Contains mode ON. See "How do I filter by job title and seniority?" for the full title-building guidance.
Step 5: Set geography correctly
Use Company Location (Country/State/City) for nearly all B2B campaigns. Avoid People Location unless residency is a hard requirement.
Step 6: Review your lead counts
Check both:
Companies view — how many companies match
People view — how many individual leads match
This estimates your volume and expected credit usage before you commit.
Step 7: Proceed to Checkout
Click Checkout, then select your export fields:
Free fields: Company name & domain, Industry, Employee count, Company location, First & last name, Job title, Lead location
Paid fields: Business Email (1 credit), Business Email Triple Verification (+1 credit), Mobile Phone Number (+5 credits), and other optional fields (Company address, LinkedIn URLs, Tech stack, Funding info, Personal email)
Step 8: Set export limits and exclusions
Set Max people per company to control per-company volume
Set your total Lead quantity
Enable Exclude emails from order history to prevent duplicates
Enable Exclude Do Not Call numbers if applicable
Step 9: Export and download
Click Confirm & Export. Once processing completes, download your list from Order History — ready for campaigns or CRM upload.
Step 10: Save your filter set
Click Save Filter before or after export so you can instantly reload this exact setup for future iterations. See "How do I save and reuse a search in ListKit?" for details.
Expected outcome
You should now be able to:
Build a complete, campaign-ready list from scratch
Estimate volume and credit usage before exporting
Export clean data with the right fields for your outreach tool
Save your setup for fast relaunching
Troubleshooting / FAQs
My lead count is too low. What should I check first?
Remove People Location if applied, widen Employee ranges, and check whether your Keywords are too narrow.
Should I always use Description Search or AI Search first?
It's a strong starting point, especially for new users or niche markets.
How do I avoid duplicate leads across campaigns?
Enable Exclude emails from order history, and maintain a master Exclude Companies list across campaigns.