Croct

What is Croct?

Croct is a website optimization and personalization platform that helps teams track user events, build user profiles, and use those profile attributes to tailor web experiences. The core purpose is to connect anonymous browsing behavior with identified data so teams can understand individual journeys and act on them.

The platform supports live sessions and real-time profiling, along with segmentation, experimentation, and data management features. It is positioned as a tool for customizing digital experiences and accelerating the creation and testing of personalized pages.

Key Features

Track events and user journeys: Capture on-site actions (e.g., scroll depth, article views, custom events) to understand how visitors navigate and engage.
Profile attributes and identity resolution: Leverage profile schemas and identity resolution to connect anonymous activity to identified data.
Live sessions and real-time profiling: Identify visitors currently active in applications and use live visitor data for immediate actions.
Session and profile analytics for segmentation: Use out-of-the-box filters based on traits, events, and session data to build audience segments.
Data privacy controls: Enforce privacy rules while still activating the data required to personalize and optimize experiences.
Data retention and export: Configure data retention to keep information only as long as needed, and export user profiles, sessions, and events for use elsewhere.

How to Use Croct

Start tracking on your website or application by enabling the event and session tracking described in the product flow.
Define or use profile schemas and identity resolution so you can build user profiles that include relevant attributes.
Create segments using filters that combine traits, events, and session data.
Use live sessions and real-time profiling to tailor actions based on what visitors are doing, and set up personalized experiences such as returning-user variants.
Validate and iterate using experimentation and analytics for insights into what is working, then export profiles or sessions when needed.

Use Cases

Personalized homepage for returning users: Serve a different home experience when a visitor matches known profile attributes (e.g., returning user) to guide them toward relevant content.
Content engagement tracking: Monitor user actions like opening blog posts and scrolling to a specific depth to understand which content triggers deeper engagement.
E-commerce navigation optimization: Direct users to different paths based on previous visits and observed browsing behavior.
Live troubleshooting and activation: Identify visitors currently active in applications for accurate tracking and debugging while using their live session context.
Cross-session or cross-device journey visibility: Track concurrent sessions so teams can get a more complete view of a journey when visitors browse across multiple devices or applications.

FAQ

Does Croct focus on anonymous tracking or identified user data?

Croct is designed to do both: it tracks events and can connect anonymous browsing to identified data using identity resolution and profile schemas.

What kinds of targeting can I build?

You can create filters and segments using out-of-the-box options that include traits, events, and session data.

How does Croct handle data retention?

The platform includes data retention controls so teams can keep user data for as long as needed instead of using a single fixed policy.

Can I export profile data for other uses?

Yes. Croct supports exporting user profiles, sessions, and events anywhere to support personalization across other channels and touchpoints.

Is real-time visitor data supported?

Yes. Croct includes live sessions and real-time profiling so live visitor data can drive immediate actions.

Alternatives

Web personalization and experimentation platforms: These focus on customizing experiences and running experiments, typically using tracking plus segmentation. Differences usually come down to how they handle identity resolution, real-time capabilities, and data export/retention controls.
Customer data platform (CDP) plus personalization tools: A CDP can centralize identity and profile attributes, while a separate personalization/experimentation tool handles page experiences. This splits responsibilities compared with an all-in-one profiling and personalization workflow.
Tag management and analytics stacks: Tag managers and analytics platforms can track events and sessions, but they may not provide built-in profile schemas, identity resolution, segmentation for personalization, or real-time activation workflows.
Session recording and journey analytics tools: These emphasize viewing user journeys, but may not offer the same depth of profile-based segmentation, privacy/data retention controls, or direct personalization and experimentation features.