Pillar 2 of 8

Deanonymized lead capture

Most platforms only capture the visitors who fill out a form. Thosjod identifies the rest.

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Problem → solution

Why this pillar matters.

01The Problem

The gap this closes

Roughly 98% of website visitors leave without ever being identified, because identification has historically required a form.
02The Solution

How Thosjod solves it

Thosjod matches visitor signals against B2B identity graphs and enrichment databases in real time, then follows that identity across sessions, devices, and subdomains.

All 6 features in this pillar.

Identify anonymous website visitors

How it works
Matches visitor device/browser/IP signals against B2B identity graphs and enrichment databases in real time

Why it matters
~98% of visitors leave unseen and uncaptured
Capture real name, email & company info

How it works
Combines identity resolution with third-party enrichment providers to populate contact fields without a form

Why it matters
No way to follow up with visitors who never submit a form
Enrich data on the fly

How it works
Appends firmographic/contact data to the visitor profile the moment they're identified, mid-session

Why it matters
Incomplete lead data slows or blocks follow-up
Purpose-built deanonymization of web traffic

How it works
Dedicated identity-resolution pipeline runs continuously across all site traffic, not just chat participants

Why it matters
Anonymous, high-intent visitors are invisible to sales
Universal end-user identity layer

How it works
A shared identity token follows the visitor across sessions/devices/subdomains so they're recognized every time

Why it matters
Visitor identity is fragmented across sessions/devices/properties
SSO

How it works
Standard SAML/OAuth login integration for internal team members accessing the admin dashboard

Why it matters
Login friction and security risk for enterprise users accessing the platform

Who this is built for.

Most relevant to:

FAQ

Questions, answered.

Still curious? Talk to our team.

Is visitor identification legal / consent-compliant?

Identification runs within a configurable, consent-aware framework - see Responsible AI and Security.

What if a visitor can't be identified?

The agent still engages and qualifies them conversationally - identification enriches the record when a match is found, it isn't required for engagement to work.