How to Evaluate B2B Lead Generation Providers
Before you spend money on lead data, use this checklist to evaluate vendors and avoid common pitfalls that waste budget and damage campaigns.
Request Sample Data That Matches Your Target
Don't accept generic samples. Request data that matches your actual target criteria (industry, geography, job titles). This shows you what you'll actually receive.
What to Look For
- Samples match your target market
- Includes the data fields you need
- Shows verification status for each field
Red Flags
- Vendor won't provide samples
- Samples are 'hand-picked' not representative
- Data is months old
Verify Email Deliverability Independently
Run sample emails through a third-party verification tool (not the vendor's own tool). This gives you an unbiased view of actual deliverability.
What to Look For
- Run at least 100 emails through external verifier
- Calculate bounce rate and compare to vendor claims
- Check for catch-all domains and risky emails
Red Flags
- Vendor discourages third-party testing
- Bounce rate exceeds 10%
- Many catch-all or role-based emails
Check Phone Number Quality
For phone outreach, verify phone types and connectivity. Mobile and direct dial numbers are more valuable than switchboard numbers.
What to Look For
- Ask what percentage are mobile vs. direct dial vs. switchboard
- Verify phone type claims with carrier lookup
- Check if DNC screening is included
Red Flags
- All numbers are switchboard/main lines
- No phone type classification
- DNC screening is extra or not offered
Understand Data Sourcing and Freshness
Know where the data comes from and how recently it was verified. B2B data degrades 25%+ per year.
What to Look For
- Vendor explains data sources clearly
- Data is less than 6 months old
- Real-time or frequent verification offered
Red Flags
- Sources are 'proprietary' with no explanation
- No information on data age
- Verification is infrequent or batch-only
Review Pricing and Refund Policies
Understand the full cost including any hidden fees, and what happens when data doesn't meet quality standards.
What to Look For
- Clear per-record or credit-based pricing
- No long-term contract required to test
- Credits or refunds for bad data
Red Flags
- Annual contract required upfront
- Hidden fees for exports or usage
- No recourse for invalid data
Test at Small Scale Before Committing
Start with a small purchase and test the data in your actual workflow before committing to large volumes.
What to Look For
- Small test package available
- Test data in your actual CRM/outreach tools
- Measure actual results (response rate, meeting rate)
Red Flags
- Minimum purchase is very large
- Pressure to commit before testing
- No performance tracking provided
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