First-party visitor intelligence

Identity infrastructure for the cookie-less internet

TrafficCatch restores pseudonymous visitor identity when cookies fail, helping websites recover attribution, analytics, session intelligence, funnels, and fraud detection.

TCIDPseudonymous identity object
46Live signal categories and types
3Revenue paths from one identity layer
Abstract identity graph connecting website cards and anonymous device nodes
The problem

The web is losing its measurement layer

Cookies are weakening. Browser privacy controls are increasing. Returning visitors often appear as disconnected sessions, so teams lose confidence in attribution and traffic quality.

Fragmented analytics paths becoming connected through identity infrastructure

Businesses are becoming blind to their own traffic

Traditional analytics is still useful, but it becomes weaker when the same visitor keeps appearing as unrelated sessions.

?Where did this visitor first come from?
?Did this visitor return later?
?Which campaign or source actually worked?
?Was this traffic genuine, suspect, or fraudulent?
01

Cookie loss

Returning visitors can become hard to recognize.

02

Attribution gaps

Source and conversion paths become fragmented.

03

Weak funnels

Drop-off data becomes less reliable when sessions split.

04

Isolated replays

Recordings lose context without visitor history.

05

Fraud blind spots

Low-quality traffic is harder to connect across behavior.

Core insight

Analytics is not the real problem. Identity is.

When a website can recognize a pseudonymous device across visits, attribution becomes clearer, session replay gains context, funnels become more useful, and fraud signals connect to real journeys.

Traditional analytics sees

Visitor ANew session
Visitor BNew session
Visitor CNew session

TrafficCatch sees

TCID profile7 visits
First seen from campaignReturned later
Viewed pricingTriggered event
The solution

TrafficCatch creates a pseudonymous identity layer for websites

A website installs the TrafficCatch script. Anonymous device and browser signals are collected, normalized, hashed, and matched server-side. Visits, events, recordings, funnels, and fraud signals then attach to a TCID.

First-party signals moving into an identity engine and analytics layer
1

Install script

Customer adds a first-party TrafficCatch script to the website.

2

Collect signals

Device, browser, network, and timing signals are captured.

3

Process server-side

Signals are normalized, hashed, and compared safely.

4

Create TCID

The identity engine creates or matches a pseudonymous profile.

5

Power analytics

Dashboards, events, funnels, replays, and fraud scores connect.

TrafficCatch product dashboard preview with analytics cards and visitor intelligence
TC

Built product, not just a concept

TrafficCatch includes the core modules needed to prove the identity layer across analytics, visitors, recordings, events, funnels, sites, and fraud signals.

Dashboard analytics

KPIs, traffic overview, sources, pages, and device metrics.

Visitor intelligence

TCID profiles with device, source, timeline, and site history.

Session replay

Recordings connected to the same visitor journey.

Fraud scoring

Trusted, suspect, and fraud bands for traffic quality.

Fast deployment

Install once, start seeing pseudonymous journeys

TrafficCatch is designed around a simple first-party setup. The tracking script creates the bridge between website activity and the identity engine.

Quick setup guide for HTML, WordPress, Shopify, and modern frameworks.
Ready-to-copy tracking script for each connected site.
Data appears in the dashboard after visits are captured.
TrafficCatch setup guide illustration with tracking code workflow
Visitor intelligence

Turn anonymous visits into measurable journeys

TrafficCatch connects activity to a pseudonymous TCID, so teams can understand device type, browser, OS, location, source, site history, visit timeline, pageviews, and quality signals.

TCIDVisitor profile
OSDevice context
UTMSource context
ScoreTraffic quality
Visitor intelligence dashboard concept with TCID profile and analytics context
Behavior and conversion

Replay behavior, track events, and understand funnels

The identity layer makes product analytics more useful because events, recordings, funnel steps, and conversion goals connect to one pseudonymous journey.

Session replay and event timeline dashboard concept
Funnels and custom events analytics visualization
01

Session replay

Replay behavior with identity context.

02

Custom events

Track high-value actions like demo requests and purchases.

03

Funnels

See steps, drop-off, and conversion rate.

04

Goals

Connect completed actions back to visitor journeys.

Multiple website cards connected to one pseudonymous identity graph
Multi-site intelligence

One identity layer can connect signals across connected sites

TrafficCatch is designed for teams managing multiple websites, campaigns, and traffic sources. Where deployment and customer controls allow, a TCID can help show site history, returning behavior, and shared visitor context across connected properties.

SitesConnected properties
TCIDShared identity layer
PathCross-site journey
GraphNetwork context
Filter dashboard views by all sites or individual sites.
Understand how one pseudonymous device appears across connected domains.
Build the foundation for future intelligent links and identity graph expansion.
Traffic quality

Understand traffic quality, not only traffic quantity

TrafficCatch helps teams separate trusted activity from suspicious and fraudulent patterns using fraud scores, filters, and visitor-level quality context.

Trusted, suspect, and fraud score bands.
Visitor list filtering by score tier.
Known-bad signatures such as bots, headless browsers, and datacenter IPs.
Traffic quality dashboard with trusted, suspect, and risk signals
Fraud detection

Separate trusted visitors from suspicious traffic

TrafficCatch adds a traffic quality layer on top of analytics. Fraud scoring helps teams review trusted, suspect, and high-risk patterns instead of judging performance from visit volume alone.

Score bands for Trusted, Suspect, and Fraud-level visitors.
Quality context attached to the same TCID used for analytics and funnels.
Useful for filtering bad traffic before it pollutes attribution decisions.
Fraud detection dashboard showing trusted suspect and fraudulent traffic quality bands
Use cases

One identity layer powers multiple products

A

Attribution recovery

Reconnect source context across visits.

R

Returning visitors

Recognize pseudonymous repeat behavior.

F

Funnel analysis

Connect conversion steps to visitor journeys.

E

Event tracking

Attach actions to TCID history.

S

Session replay

Understand behavior with profile context.

Q

Fraud intelligence

Evaluate the quality of traffic sources.

M

Multi-site intelligence

View site history where deployment allows.

L

Intelligent links

Future distribution layer for identity signals.

Privacy-aware identity graph protected by secure technology controls
Privacy-aware positioning

Designed for pseudonymous intelligence

TrafficCatch should be positioned carefully: pseudonymous device intelligence with privacy controls, not named person identification. Customers stay responsible for jurisdiction-specific consent and policy requirements.

#

Hashed signals

Signal processing reduces raw exposure.

TC

Pseudonymous TCID

Device-level profile, not a named human by default.

Input masking

Session recording privacy controls matter.

Retention controls

Data lifecycle should be customer-controlled.

FAQ

Frequently Asked Questions

What is pseudonymous identity?

Pseudonymous identity assigns a unique identifier (TCID) to a device or browser based on complex signals without tying it to personally identifiable information (PII) like a name or email address.

How does TrafficCatch work without cookies?

When third-party cookies are blocked, TrafficCatch relies on a clean, asynchronous first-party script that gathers browser, device, and network signals. These signals are securely hashed server-side to resolve identity.

Is server-side hashing privacy compliant?

Yes, TrafficCatch is designed with privacy controls. Signal processing hashes data server-side to reduce raw exposure, giving website owners control over data retention and compliance with local privacy laws.

Demo ready

Ready to see TrafficCatch in action?

See how TrafficCatch turns disconnected anonymous visits into one measurable pseudonymous device journey across analytics, events, funnels, recordings, and fraud intelligence.

[email protected] trafficcatch.com