Table of Contents:
- What person-level website visitor identification means
- How person-level website visitor identification works
- What you can do with identified visitors
- How the main person-level identification tools compare
- Person-level identification tools at a glance
- How Untitled identifies website visitors at the person level
- Who person-level identification is for
- Frequently asked questions
Key takeaways:
- Person-level website visitor identification resolves anonymous traffic to a specific real individual, returning their name, email, job title, and often their postal address, rather than just the company they work for.
- It differs from company-level identification, which uses reverse-IP lookups to name the organization but not the person, and from cookie-based retargeting, which never reveals who the visitor is.
- Untitled identifies visitors through a single ID Tag that matches non-PII browser signals against an Identity Graph of more than 300 million person-level records, returning personal and business email, name, job title, demographics, and postal address.
- Resolution is built on a first-party and second-party data model rather than third-party cookies, making it more durable as browser tracking restrictions tighten.
- Among comparable tools, RB2B and Bullseye focus on B2B contact data, Opensend focuses on B2C email, and Snitcher resolves at the company level only; Untitled returns the fullest identity profile of the group.
Person-level website visitor identification resolves anonymous traffic to specific real individuals, including their name, email address, job title, and postal address. It is the difference between knowing a visitor showed up and knowing exactly who showed up.
This post explains what person-level identification is, how it differs from company-level and cookie-based tracking, and how the leading tools compare.
What person-level website visitor identification means
Person-level identification resolves an anonymous visitor to a specific real individual. Instead of an IP address or an anonymous cookie ID, with website visitor identification software, you get the actual person: their name, their personal and business email, their job title, and often their mailing address.
It is worth separating from the two approaches people confuse it with.
Company-level identification (based on a reverse-IP lookup) tells you the organization a visitor works for but not who they are: you learn that someone from Acme Corp visited, not that Jane Smith, a marketing director at Acme, did.
Cookie-based retargeting only follows an anonymous browser so you can serve it ads later, and it never reveals who that browser belongs to. Person-level identification gives you the actual identity, so you can email the person, mail them, or build an audience from real contact data rather than anonymous IDs.
How person-level website visitor identification works
At a high level, every person-level tool follows the same basic sequence:
A lightweight tag or pixel is placed on the website.
When a visitor loads a page, the tag collects non-PII signals from their browser and session, things like the device, browser, IP address, and any hashed email identifier present.
Those signals are sent to the provider, matched against a database of known profiles, and when a confident match is found, the visitor is resolved to a real person and their contact data is returned and synced to your marketing tools.
No form, login, or purchase is required for this to happen.
The quality of that match is where providers differ, and it comes down to the database behind the tag. The strongest tools, including Untitled, resolve identity through an identity graph rather than a simple IP lookup.
What is an identity graph?
An identity graph is a structured dataset that links the many identifiers tied to one person, such as hashed emails, device IDs, IP addresses, and behavioral signals, back to a single profile.
Untitled’s graph contains more than 300 million person-level records and uses email as the primary identity anchor, which is what allows a match to resolve to a specific individual rather than just a household or a company.
How matching to an person-level record works
Matching is primarily deterministic, meaning it relies on observed, validated signals rather than probabilistic guesswork. Confidence is highest when there is enough signal to triangulate between a visitor’s IP, device, browser, and email identifier, so accuracy improves with traffic volume and repeat engagement.
Across production deployments, match accuracy typically falls in the 90 to 95 percent range, while the ability to match to an actual person on the website falls between 40 to 50 percent, depending on the tool. Internet-scale identity data is never perfect, and a small share of mismatches is expected in any system of this kind. Match rates also climb as more traffic and sessions accumulate, since each additional signal strengthens the resolution.
There is also a feedback loop that improves accuracy over time.
As resolved records are activated in marketing channels and those people convert or transact, that first-party outcome data feeds back into the platform, sharpening future matches. More activation produces more signal, which produces better resolution, which produces higher confidence.
What you can do with identified visitors
Person-level identification is only useful if you can act on it. Once visitors are resolved to real people, there are several ways to use the visitor identification tag data:
- Sending targeted email to visitors who browsed specific products or pages but did not convert
- Retargeting identified visitors with direct mail, which reaches people who ignore digital ads
- Building lookalike and intent-based audiences from real contact data
- Routing high-intent visitors to sales with name and contact details attached
- Enriching existing first-party profiles in Shopify, Klaviyo, HubSpot, or Salesforce with additional attributes
How the main person-level identification tools compare
Different tools resolve identity in different ways, and the differences matter depending on whether your audience is consumers, businesses, or both. A useful first filter is whether a tool resolves to the actual person or only to the company the person works for.
Untitled
Untitled resolves visitors to the fullest identity profile of this group: personal and business email, name, job title, demographics, household attributes like income and homeowner status, and postal address. The inclusion of postal data is what enables direct mail retargeting alongside email and digital channels, and the dual personal and business email coverage means it spans consumer and business audiences from one tag.
RB2B
RB2B focuses on B2B and matches anonymous visitors to LinkedIn profiles. It offers a free tier with limited matching, which makes it a common starting point for teams that want to see which professionals visited. Its resolution is oriented around LinkedIn identity rather than direct postal or broad consumer data.
Opensend
Opensend focuses on B2C and DTC e-commerce. It resolves anonymous shoppers to personal email addresses through its identity graph and is built around recovering cart abandoners and growing email lists. Its output centers on email and digital activation rather than a full identity profile with postal and household data.
Snitcher
Snitcher is company-level rather than person-level. It uses IP intelligence to identify the company an anonymous visitor works for, which is useful for B2B account targeting, but it does not resolve the individual visitor. It can surface contacts within an identified company, though that is a separate lookup rather than direct identification of the person who visited. If you only need to know which companies visited, this could be a good solution.
Bullseye
Bullseye is a person-level tool aimed at B2B and e-commerce. It resolves visitors to name, email, company, and job title and routes them to a CRM or Slack in real time. Its profile is contact-oriented and does not emphasize postal or household demographic data.
Visitor InSites
Visitor InSites resolves anonymous traffic to email addresses and contact data, with positioning centered on turning unknown visitors into reachable contacts.
Person-level identification tools at a glance
The right choice depends on your audience and the channels you want to activate. If you only need LinkedIn-level B2B matching, a LinkedIn-based tool may be enough. If you only need to know which companies visited, an IP-based tool will do. If you want to reach identified visitors as real people across email, digital, and direct mail, you need a tool that resolves to full contact data including a mailing address.
Here is a comparison of each tool from above:
| Capability | UntitledB2C + B2B | RB2BB2B | OpensendB2C / DTC | SnitcherB2B | BullseyeB2B + e-com | Visitor InSitesB2B / B2C |
|---|---|---|---|---|---|---|
| Resolution level | Person | Person | Person | Company (IP) | Person | Person |
| Name returned | Yes | Yes | Limited | Company | Yes | Yes |
| Personal email | Yes | No | Yes | No | Yes | |
| Business email | Yes | No | Lookup | Yes | Yes | |
| Job title | Yes | Yes | No | Firmographic | Yes | Some |
| Demographics & household | Yes | No | No | No | No | No |
| Postal address (direct mail) | Yes | No | Postal sync | No | No | No |
| Coverage | U.S. | U.S. | U.S. | Global | U.S. | U.S. |
Comparison based on each provider's publicly stated capabilities as of June 2026. "Limited" and "Lookup" indicate the data is available through a secondary step or a narrower match rather than returned directly. Verify current details with each vendor before publishing.
How Untitled identifies website visitors at the person level
Untitled handles person-level identification through a single piece of tracking code called the Untitled ID Tag. You generate the tag inside Untitled and place it on your website the same way you would any analytics snippet. It fires as soon as the page loads, similar to Google Analytics or the Facebook Pixel.
When a visitor lands on your site, Untitled collects non-PII signals from the browser and session and matches them against its Identity Graph, a deterministic graph of more than 300 million person-level records built from first- and third-party data. Email is used as the primary identity anchor, which is what lets the match resolve to a specific individual rather than just a household or a company.
Once the tag is live, Untitled resolves anonymous visitors to real people and returns:
- Email address, both personal and business (when available)
- First and last name
- Job title and professional details
- Demographics, including age range, gender, marital status, and presence of children
- Household attributes, including income range, net worth, and homeowner status
- Postal address for direct mail retargeting
View the full list of attributes that Untitled provides.
Because the resolution includes both personal and business email, Untitled works for B2C and B2B traffic rather than only one or the other. And because it returns a verified postal address, you can retarget identified visitors through direct mail, not just email and digital ads.
Visitor data updates hourly and can be appended to first-party sources like Shopify, Klaviyo, HubSpot, and Salesforce to enrich existing customer profiles.
Untitled only resolves visitors located in the United States.
Who person-level identification is for
The same capability serves very different teams, and what you do with a resolved visitor depends on the kind of business you run.
Consumer Brands and eCommerce
For eCommerce and DTC brands, the core use case is recovering shoppers who browse but do not buy. Most cart abandoners and product-page visitors never enter an email, so they are unreachable through normal flows.
Person-level identification for B2C brands captures those shoppers as real contacts you can add to email retargeting, and the resulting profiles also expand the seed data for lookalike audiences on Meta and Google.
Toadfish Outfitters, a sustainable outdoor and kitchen brand on Shopify Plus, used the Untitled ID Tag to identify shoppers who landed but did not check out, then routed them into Klaviyo email retargeting. Their email-driven ROAS moved from 3X without the tag to 6.8X with it, with roughly 60 percent of visitors identified and 22 percent of revenue coming from email over the measured period.
For brands with first-party data trapped in offline or point-of-sale systems, identification rebuilds an addressable audience from website traffic.
G&G Fitness and its Gronk Fitness line had customer data locked in point-of-sale systems, which made it hard to build first-party audiences for Facebook and Google. By de-anonymizing site visitors and capturing their emails and demographic data, they built custom and lookalike audiences that drove a 180 percent overall sales increase, a 1600 percent increase in Gronk Fitness online sales over two months, a 32 percent lift in active email subscribers, and a 4X ROAS across paid campaigns.
B2B and Sales Teams
For B2B and sales teams, person-level resolution means knowing the individual, not just the company. Instead of an IP-based lookup that returns “someone from Acme Corp,” you get the person’s name, business email, and job title, which lets sales route and personalize outreach without a manual contact hunt.
It also supports account-based marketing by showing which specific people from target accounts are engaging.
Performance Marketing Agencies
For agencies, the value is running this across a client roster from one platform.
Identified visitors become a service you can deliver, audience building, email retargeting, and reporting, on behalf of multiple clients, with each client’s data kept logically separate and managed from a single login. Practically, this gives you more data to work with for every client: a larger pool of identified contacts to retarget, richer seed audiences for paid campaigns, and named visitors you can point to rather than anonymous traffic counts.
That depth tends to keep clients happy, because they can see their audience growing and their pipeline filling rather than waiting on form fills. It also makes your work more transparent.
When a client asks what their media budget is actually doing, you can show the real people their spend brought to the site and the campaigns those people entered, which turns a monthly report into evidence of value rather than a list of impressions. For agencies that want to take it further, Untitled can be white-labeled for agencies, so the identification and audience tooling runs under your own brand.
Frequently Asked Questions
Person-level identification resolves an anonymous website visitor to a specific real individual rather than to a company or an anonymous cookie ID. It returns the actual person's name, email, and often their job title and postal address, so you can contact them directly.
Company-level identification, usually based on a reverse-IP lookup, tells you the organization a visitor belongs to. It cannot tell you which specific person visited. Person-level identification resolves the individual, including their name and email, so no additional contact research is needed.
The Untitled ID Tag collects non-PII signals from a visitor's browser and session when they land on your site, then matches those signals against Untitled's Identity Graph to determine identity. The graph is built from real-time signals plus online and offline data, and contains more than 300 million unique person-level records.
An Identity Graph is a structured dataset for identity resolution that maps the relationships between the many identifiers tied to one person, such as hashed emails, device IDs, and IP addresses, and links them to a single profile. Untitled's graph primarily covers U.S. adults and connects these signals to match anonymous website activity to known profiles in a deterministic way.
With Untitled, a resolved visitor can include personal and business email, first and last name, job title, demographic attributes such as age range and gender, household attributes such as income range, net worth, and homeowner status, and a postal address for direct mail.
Yes. Resolution through the Untitled ID Tag is built around a first-party data and second-party data model rather than third-party cross-site cookies, which makes it more durable as browser restrictions tighten.
Untitled updates visitor data hourly in your account, and resolution feeds are received in hourly intervals.
Yes, when the resolution includes a postal address. Untitled returns postal data specifically so identified visitors can be retargeted through direct mail in addition to email and digital channels.
It can be, when implemented correctly. The Untitled ID Tag is designed to operate within applicable U.S. privacy frameworks using a first-party and second-party data model. Compliance depends on how you configure it: you should disclose data collection in your privacy policy, run a consent management platform, and honor opt-out signals. Untitled's tag follows the consent signal provided by your CMP and will not fire where a user has explicitly opted out.
You can email identified visitors, but you must comply with the CAN-SPAM Act, which requires accurate sender identification, a valid physical address, and a working unsubscribe mechanism in every message. Texting is a higher bar: having a phone number does not constitute SMS consent under the TCPA, which requires explicit opt-in.
Untitled resolves website visitors located in the United States.
Identify the people behind your traffic
Anonymous traffic is the largest segment most websites never act on. Person-level identification turns it into real people you can email, mail, and build audiences from, and Untitled does it from a single ID Tag that resolves visitors to full contact data, postal address included.
Build your stack on identity, not cookies
The Untitled ID Tag is built for where the category is heading: cookieless by default, identity-graph at the core, AI-driven intent scoring above that, and real-time activation into every channel that matters.
See it on your own traffic. Book a live demo first, then watch real visitors resolve in your account. We will walk you through it!
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