Deanonymization
The process of identifying previously anonymous individuals by connecting their activity to known identity data.
Definition
Deanonymization (also spelled de-anonymization) refers to techniques used to identify individuals who were previously anonymous. In the context of website tracking, it means matching anonymous browsing sessions to real identity information such as names, email addresses, and company details. This is achieved through various data matching techniques including cookie matching, device fingerprinting, and probabilistic identity resolution.
Why It Matters
For B2B companies, deanonymization transforms website analytics from aggregate traffic numbers into actionable sales intelligence. Instead of knowing that 1,000 people visited your pricing page, you can know exactly which individuals and companies were there—enabling personalized, timely outreach.
Examples
- Matching a browser cookie to a known email address from a data provider
- Using IP-to-company mapping combined with behavioral signals
- Resolving anonymous sessions across multiple devices to a single identity
How Bullseye Helps
Bullseye uses compliant deanonymization techniques to match your website visitors to our database of over 200 million B2B contacts. We only process US traffic and maintain opt-in permissions, ensuring GDPR and CCPA compliance.
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Related Use Cases
Lead Generation
Generate leads from your website without forms by identifying anonymous visitors.
Sales Intelligence
Real-time intelligence on website visitors for proactive sales outreach.
Account-Based Marketing (ABM)
Identify individuals from target accounts visiting your site for ABM programs.
Related Guides
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