Comparison
Both AudienceLab and ContactLevel help marketers and agencies reach verified audiences and improve ad targeting performance. While both share similar goals, each takes a different approach to data management, audience activation, and campaign execution.
This comparison outlines how both platforms work, where they differ, and which situations each one serves best.
AudienceLab and ContactLevel both help advertisers improve targeting precision, but they approach data management differently. ContactLevel focuses on helping B2B teams deliver ads to named contacts, while AudienceLab offers a broader platform that supports both B2B and B2C campaigns, data enrichment, and full audience ownership across multiple systems.
is designed for contact-level advertising, helping users turn contact lists into matched audiences for channels such as Facebook, Google, and YouTube.
is designed to build, verify, and activate complete audiences, combining verified online and offline data for greater flexibility and reach.
Both solutions aim to help advertisers reach verified audiences, but their data methodologies differ.
ContactLevel focuses on improving match rates between business contacts and consumer ad platforms. It relies primarily on email-based matching to help B2B teams connect with decision-makers through ads.
AudienceLab combines online and offline datasets, verifying name, email, phone, and behavioral attributes to ensure accuracy. This creates complete audience profiles that can be used across ad, CRM, and outbound systems.
Key takeaway: ContactLevel enhances reach for existing contact lists, while AudienceLab verifies and enriches audiences to create reliable, reusable data assets.
Behavioral insights are a key differentiator between the two platforms.
ContactLevel helps advertisers match contacts and deliver ads, but it does not currently incorporate behavioral or intent-based data.
AudienceLab provides access to over 60 billion behavioral signals each week, enabling advertisers to identify audiences actively engaging with specific topics, products, or industries.
This behavioral layer allows AudienceLab users to move beyond static contact lists to dynamic, intent-driven audiences that evolve with buyer activity.
Data ownership is an important consideration for marketers who want control over how their audience data is used.
ContactLevel operates primarily as a managed environment where audience data is used for ad delivery.
AudienceLab provides complete ownership and portability, allowing users to export, reuse, and enrich their data without restriction.
Key takeaway: ContactLevel simplifies ad-based targeting, while AudienceLab emphasizes transparency and long-term audience control.
Both platforms are designed to improve advertising efficiency but differ in scalability.
ContactLevel is optimized for B2B advertisers who want to reach specific contacts quickly and efficiently.
AudienceLab supports both large-scale B2B and B2C campaigns, making it suitable for agencies and advertisers managing multiple clients or verticals.
Key takeaway: ContactLevel is ideal for teams focused on narrow contact lists, while AudienceLab supports broad audience reach with scalable data infrastructure.
AudienceLab and ContactLevel both help advertisers connect with high-value audiences, but their roles are distinct.
ContactLevel simplifies contact-based ad targeting for B2B campaigns and improves match rates across consumer ad channels.
AudienceLab provides a complete audience data platform, enabling users to verify, enrich, and activate both B2B and B2C audiences while maintaining full ownership of their data.
Advertisers may find value in using both solutions together—ContactLevel for short-term contact-based campaigns and AudienceLab for long-term audience growth and control.
If your goal is to manage verified data, improve targeting accuracy, and activate audiences across every channel, AudienceLab provides the flexibility and infrastructure to support scalable, data-driven growth.
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