Anonymous Website Visitor Identification Explained: How It Works

The Core Problem This Solves

Most website visitors never take an action that reveals who they are. Research cited by 6sense reports only about 3 percent to 3.5 percent of B2B visitors fill out forms, meaning the majority of traffic stays anonymous.

Anonymous website visitor identification exists to close that gap by turning anonymous sessions into usable signals you can act on.

What “Identification” Really Means

In practice, anonymous visitor identification usually falls into 3 levels.

1. Behavior identification
   What the visitor did and what they likely care about
2. Company identification
   Which organization the visitor is likely from, most common in B2B
3. Person identification
   Who the individual is, typically only in certain contexts and with stricter requirements

Most businesses get meaningful ROI from levels 1 and 2 because they improve conversion and make remarketing far more targeted.

How It Works in Plain English

At a high level, the system does five things.

1. Detect a visit
2. Recognize returning visitors
3. Capture intent signals
4. Enrich the visitor profile where possible
5. Activate the insights into marketing and sales workflows

Below is what that looks like step by step.

Step 1: A Tracking Script Collects First Party Signals

A small snippet or tag loads on your site and captures events like:

1. Page views and page sequence
2. Clicks on key elements
3. Scroll depth on high intent pages
4. Form starts and abandons
5. Repeat visits and frequency
6. Source signals like UTMs and referrers

These are the signals that power website optimization and conversion rate optimization because they show what is working and what is causing friction.

Step 2: The Visitor Gets a Browser Identifier

To connect multiple events to the same browser, most systems rely on a first party identifier stored in the browser, commonly via cookies.

In plain English, cookies help a site recognize whether multiple requests come from the same browser so behavior can be linked together over time.

This is also how analytics platforms distinguish new vs returning visitors, using a client identifier stored in a cookie.

Important note
This identifies a browser, not a person. It is a practical way to build a consistent visitor timeline.

Step 3: The System Builds an “Anonymous Visitor Profile”

Once events are tied together, you effectively get an evolving profile such as:

1. Top pages visited
2. High intent pages viewed, like pricing, services, case studies, demos
3. Engagement depth, like time on page and scroll depth
4. Returning behavior and visit cadence
5. Traffic source and campaign context

This is the foundation for answering: what should we improve, and who should we re engage.

Step 4: Company Identification Uses Network Signals

For B2B use cases, many tools attempt to infer the organization behind a visit using IP and DNS based methods.

One common method is reverse DNS, which can return a domain name associated with an IP address.

From there, systems may match the result to business databases and firmographic sources to infer company level details.

Reality check
Company identification works best when visitors are on corporate networks. It is less reliable for mobile networks, home internet, shared workspaces, and privacy focused setups.

Step 5: Person Identification Depends on Context

Person level identification is the most misunderstood part.

The most reliable way this happens is when someone becomes known through normal actions, such as:

1. They submit a form
2. They book a call
3. They click from an email
4. They log in

Once a person is known, future sessions can often be tied back to them as long as your systems and privacy setup support it.

Other identity resolution methods exist, but accuracy and applicability vary heavily by situation, data sources, and requirements. For most teams, company level identification plus intent based remarketing gets the majority of the value with far less complexity.

Step 6: The System Turns Intent Into Action

This is where ROI is created. Identification is only useful if it changes what you do next.

Common high ROI activations include:

1. Remarketing audiences based on real intent
   Example: visitors who viewed pricing, services, case studies, or visited multiple times
2. Better prioritization
   Focus sales and marketing on accounts and visitors showing the strongest signals
3. Conversion rate improvements
   Use behavior data to fix the pages that leak leads and customers
4. Recovering lost demand
   Turn existing traffic into pipeline instead of letting it disappear

What Data You Can Expect to Get

Across most implementations, these are the most common data outputs:

1. Visitor behavior timeline
2. Engagement signals, like key page views and repeat visits
3. Campaign attribution signals, like UTMs and referrers
4. Company identification signals in some cases
5. Contact level data in some cases, depending on the approach

The practical goal is not vanity data. The goal is visibility that helps you increase leads, customers, and revenue from traffic you already paid for.

What Makes This Work Well

If you want results, these are the biggest levers.

Use intent based remarketing
This is often the fastest win because it monetizes existing traffic

Track high intent pages intentionally
Pricing, service pages, demo pages, case studies, comparison pages

Tie identification to one clear outcome
Booked calls, qualified leads, purchases, or pipeline creation

By WAI Editorial Team