How TrafficCatch works

TrafficCatch installs on a website, collects allowed first-party signals, processes them server-side, creates or matches a pseudonymous TCID, and connects visitor activity into one measurable journey.

Traditional analytics often treats visits as disconnected sessions. TrafficCatch adds an identity layer underneath analytics so a website can understand returning behavior, attribution paths, session activity, funnel movement, event completion, and traffic quality with better continuity.

How it works hero

From website visit to identity-powered analytics

The TrafficCatch identity flow is designed to be simple, reliable, and privacy-conscious.

Six step process
01

Install the script

A customer adds the asynchronous TrafficCatch script to their website to support visitor identification.

02

Collect signals

TrafficCatch collects browser, device, network, rendering, and timing signals that help create a profile.

03

Send to API

Signals and visit details are sent to the TrafficCatch server for processing securely.

04

Hash and normalize

TrafficCatch processes identifiers server-side and uses hashing to reduce raw data exposure.

05

Create or match TCID

The identity engine checks for exact and confidence-based matches to link the visit to a profile.

06

Power modules

Visits, pageviews, events, and funnels attach to the TCID and become visible in the dashboard.

First-party script setup

Start with a first-party website script

TrafficCatch starts when the website loads the TrafficCatch script. The script records visit information, collects allowed device and browser signals, supports session recording, and accepts custom events from the page through a JavaScript API.

Loads asynchronously
Captures visits and page context
Supports custom event calls
Can support session recording
Designed for first-party deployment
The goal is not to replace your website. The goal is to add a measurement layer underneath it.

Collect signal categories that help recognize the device

TrafficCatch uses multiple categories of signals to support pseudonymous device recognition. These can include browser environment, hardware and rendering traits, network and transport indicators, font and rendering probes, behavioral timing, and API feature support flags.

Browser and environment: Browser type, version, language, timezone, and other environment details.
Hardware and rendering: Screen size, rendering traits, and hardware hints.
Network and transport: Network-related indicators used for matching.
Font and rendering probes: Rendering behavior that helps compare environments.
Behavioral and timing: Interaction characteristics that support confidence analysis.
Signal collection taxonomy
Server-side identity processing

Process identity logic server-side

TrafficCatch processes signals on the server instead of relying only on browser cookies. Hashing and normalization help convert raw signal sets into safer, more consistent identifiers used for matching and visitor intelligence.

More resilient than cookie-only tracking
Server-side signal processing
Pseudonymous identity matching
Confidence-based recognition

Server-side processing gives TrafficCatch a more resilient foundation for visitor intelligence. It also creates a cleaner place to apply controls, scoring, matching rules, retention settings, and future compliance workflows.

Create or match a TrafficCatch ID

The TrafficCatch ID, or TCID, is a pseudonymous device-level profile used to group website activity. When a device visits, TrafficCatch checks whether the signal set matches an existing TCID. If it does, the visit attaches to the existing journey. If it does not, a new TCID is created.

Exact match: A deterministic hash match links a visit when the signal hash exactly matches an existing profile.
Similarity match: When an exact match is not available, TrafficCatch can compare weighted signals and apply a confidence threshold.
New TCID: If confidence is not high enough, a new pseudonymous profile is created.
TCID matching decision

Build a pseudonymous identity graph

Once TrafficCatch creates or matches a TCID, the visitor profile can accumulate visit history, pageviews, source information, device details, recordings, events, goals, funnels, and fraud scores. Over time, the profile becomes more useful for understanding real visitor journeys.

Identity graph visual

Built for measurement, not personal identification

TrafficCatch is designed for pseudonymous visitor intelligence. It does not need to identify a person by name to help businesses understand returning behavior, attribution paths, session activity, funnel drop-off, and traffic quality.

The correct positioning is clear: TrafficCatch improves measurement continuity, but it should be implemented with proper consent settings, privacy policy disclosure, masking rules, retention limits, and customer-side compliance review.

Technical FAQ

Does TrafficCatch rely only on cookies?

No. TrafficCatch is designed around first-party signal collection and server-side identity processing, not cookie-only recognition.

What is a TCID?

A TCID is a pseudonymous TrafficCatch ID used to group anonymous website activity under a device-level visitor profile.

Can TrafficCatch identify a person by name?

Not by default. TrafficCatch creates pseudonymous device intelligence. Named identity only happens if a customer separately provides consented first-party data.

Does TrafficCatch support session replay?

Yes. TrafficCatch can capture session behavior and replay it with timeline and metadata, while sensitive inputs should be masked.

Does TrafficCatch support fraud detection?

Yes. TrafficCatch can assign fraud score bands such as Trusted, Suspect, and Fraud based on risk indicators.

See it live

See the identity flow live

The easiest way to understand TrafficCatch is to watch a new visit become a TCID, then see that profile connect to visitor history, session behavior, events, funnels, and fraud intelligence.

[email protected] trafficcatch.com