Maximize Your Reach with Our In-Depth

B2B Contact Database.

  • B2B Contact Data: Access contact information including email, phone, mobile, social media links and more for executives and key decision makers from more than 360 million companies.
  • Global Coverage: Our database covers all 220 countries and territories, giving you access to executives and decision-makers worldwide.
  • 360 Solutions: Contact data, combined with our applications and APIs, provides a range of B2B solutions that cover all the data-related activities that businesses undertake.
  • Fully Compliant Data: All data available in our database is GDPR and CCPA compliant, and meets all local norms and standards.
  • One structured format: All global formats (SIC, NACE, and more) are structured and delivered to our clients in one clear format.
Firmographic Data Main
Elipse-Blue
  • 655M+
    Executives
  • 1 Billion
    Contact Data
  • 360M+
    Companies
  • 3500+
    Industries
  • 460+
    Data Attributes
  • 1100+
    Data Streams
  • 30
    Years in Business
  • 17
    Languages
B2B Contact data

Use Cases.

  1. Targeted Email Campaigns: 
    A SaaS company utilizes B2B contact data to create highly segmented email lists based on industry, company size, and job title. This approach allows them to send personalized outreach campaigns to decision-makers who are likely to need their software.
  2. Outbound Sales Prospecting:
    A B2B marketing agency provides its sales team with verified contact lists of marketing directors and CMOs at tech companies. This enables direct, cold outreach through calls, emails, and LinkedIn, resulting in higher conversion rates.
  3. Event Invitations & Webinars: 
    A cybersecurity firm targets IT executives with personalized invitations to webinars. By accessing accurate B2B contact data, they ensure that their event promotions reach relevant professionals, which increases attendance rates.
b2b-contact-data
  1. Automated Drip Campaigns:
    A SaaS startup integrates B2B contact data into its marketing automation platform to initiate personalized email sequences tailored to job roles, industries, and user behaviors. This approach allows for nurturing leads without requiring manual effort.
  2. Dynamic Ad Targeting:
    A B2B e-commerce platform utilizes enriched contact data to create custom audience segments for LinkedIn and Google Ads. This strategy delivers highly targeted advertisements to decision-makers based on their job titles and company sizes.
  3. Lead Routing and Scoring Automation:
    A global tech firm automates the distribution of leads to its sales team by employing B2B data to score leads in real-time. This process assigns leads to the most suitable representatives based on factors such as territory, industry, and potential deal size.
crm
  1. Updating Outdated Contacts:
    A sales team has noticed a decline in response rates. To address this, they enrich their CRM with updated B2B contact information, replacing outdated email addresses and phone numbers. This leads to improved connection rates.
  2. Account-Based Marketing (ABM) Optimization:  
    A technology firm running ABM campaigns enhances its CRM by adding extra data points such as LinkedIn profiles, job changes, and direct phone numbers. This allows for more personalized and timely outreach to potential clients.
  3. Lead Scoring Enhancement:
    A B2B SaaS company integrates B2B contact data to refine its lead scoring algorithms. They incorporate insights such as company revenue, employee count, and recent funding rounds, enabling them to prioritize high-value prospects more effectively.
risk
  1. Competitor Analysis:
    A fintech company analyzes B2B contact data to understand the client bases of its competitors. This analysis helps them identify underserved markets and adjust their strategies to capture new business opportunities.
  2. Industry Trend Mapping:
    A consulting firm aggregates data from multiple industries to identify emerging trends, such as shifts in leadership roles or the growth of certain sectors. This provides valuable insights for their clients.
  3. Customer Segmentation for Insights:
    A global enterprise uses B2B data to segment its customers based on demographics, company size, and buying behavior. This approach helps them identify profitable niches for tailored marketing strategies.
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Frequently asked questions
What is B2B Contact Data?
B2B contact data is a dataset that contains contact information such as emails, cell phones, phone numbers, social media links, and more for companies, their executives, and decision makers. It's used to connect with potential customers, partners, or leads, making it an essential resource for sales, marketing, and business development strategies.
Does B2B contact data really work for marketing and lead generation? What do the statistics say?

Yes, B2B contact data is proven to be highly effective in driving marketing and lead generation efforts. Industry studies show that targeted email campaigns utilizing high-quality B2B data can generate up to 760% more revenue compared to generic campaigns. Furthermore, businesses that implement data-driven lead generation strategies experience a 20% higher conversion rate and 33% more sales opportunities. Having accurate data enables personalized outreach, improved segmentation, and more efficient marketing expenditures.

What companies use B2B contact data?

These days, every existing company relies on marketing and sales, and every marketing and sales team relies on B2B contact data. This applies to startups, multinational corporations, SaaS companies, consulting firms, financial services, healthcare providers, manufacturing businesses, and companies from virtually every sector. Whether it's for lead generation, customer retention, partnerships, or market research, B2B data enables businesses of all sizes to connect with the right people at the right time.

Can I create a custom contact dataset and target only the companies I want?

Yes, you can create a custom B2B contact dataset that targets only the companies you want. You can apply filters based on factors such as industry, company size, revenue, geographic location, and much more. This approach ensures that your marketing and sales efforts focus on high-potential leads that match your ideal customer profile, maximizing efficiency and return on investment (ROI).

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