B2B Databases
B2B Databases are searchable repositories of millions of business contact records, providing instant access to verified emails, phone numbers, job titles, and company information for prospecting. Instead of manually researching prospects on LinkedIn or Google, sales teams use B2B databases to build targeted lists in minutes by filtering criteria like industry, company size, job function, location, technology stack, and hiring signals. These platforms aggregate data from public sources, partnerships, user contributions, and proprietary web scraping, then verify and enrich it for accuracy. The best databases offer 200M+ contacts with 85-95% email accuracy, real-time verification, CRM integrations, and technographic/firmographic intelligence. B2B databases have become the foundation of modern outbound sales, replacing manual list building and enabling data-driven prospecting at scale.
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Frequently Asked Questions
Common questions about B2B Databases
Accuracy varies by provider and data type. Top databases (Apollo, ZoomInfo, Cognism) claim 90-95% accuracy for emails and 85-90% for phone numbers, but real-world accuracy is often 70-85%. Data decays 30-40% per year as people change jobs. Best practice: use email verification tools (NeverBounce, ZeroBounce) and expect 10-20% bounce rates.
Apollo leads with 275M+ contacts, followed by ZoomInfo (200M+), Cognism (400M international), and Lusha (100M+). However, size matters less than coverage in your specific market. For US mid-market, ZoomInfo excels. For international, Cognism and Kaspr are better. For SMB, Apollo and Hunter work well.
Pricing ranges widely: Free tiers (Apollo: 50 emails/mo, Hunter: 25/mo) for testing. Mid-tier ($99-299/mo): Apollo, Lusha, LeadIQ for 1,000-5,000 credits/month. Enterprise ($10k-100k/year): ZoomInfo, Cognism with unlimited seats and advanced features. Most charge per contact exported or email revealed.
It depends on your coverage needs. Single database works for most teams if it covers your ICP well. Use multiple databases (waterfall enrichment) if: targeting international markets (different providers excel in different regions), need higher find rates (no database has 100% coverage), or enterprise budgets allow comprehensive data stacks.
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