Most CDPs, CRMs, and analytics platforms rely primarily on deterministic identifiers such as email addresses, logins, or customer IDs. This means large portions of website activity remain anonymous and disconnected from downstream outcomes.

FocalGraph fills this gap by adding probabilistic identity resolution and session intelligence upstream, expanding the amount of identity-aware behavioral data available to your existing systems.

The result is a more complete view of customer behavior that enables stronger attribution, better audience activation, and more measurable outcomes across the tools you already use.

Probabilistic identity resolution connects anonymous digital behavior to known individuals or households using patterns and signals derived from browsing activity and first-party data.Unlike deterministic identity, which requires a direct identifier such as a login or email address, probabilistic resolution allows organizations to extend identity coverage across visits, devices, and sessions where deterministic identifiers are missing or delayed.When combined with deterministic identity, probabilistic signals help create a more complete and continuous view of customer behavior.

FocalGraph can resolve activity at the person or household level, depending on the available data and the needs of the organization.

In many consumer use cases, household-level identity provides a more practical and reliable unit of analysis because purchasing decisions often occur across multiple individuals and devices.

Resolved identities allow anonymous browsing sessions to be connected to existing records within CDPs, CRMs, and other customer data systems.

FocalGraph captures behavioral events as they occur and groups them into finalized sessions that reflect real visitor intent. These sessions are then linked to resolved identities when possible.

This allows organizations to connect pre-conversion browsing activity, such as product exploration or content engagement, to downstream outcomes like conversions, purchases, or customer lifecycle events.

By linking behavior to outcomes, FocalGraph enables more accurate attribution and deeper insight into what drives real business results.

FocalGraph automatically captures page views as soon as the collection tag or pixel is installed, requiring no additional configuration. From there, organizations can easily configure additional events to capture behaviors that matter to their business.

Common examples include content views, search, filter, and browse interactions, clicks on key conversion actions, form starts and submissions, and campaign or traffic source metadata such as UTMs and advertising identifiers.

Together, these signals provide the foundation for session intelligence, intent detection, and identity resolution.

FocalGraph delivers both raw behavioral events and sessionized data.

Raw events provide granular interaction data captured directly from user activity, while sessionized data groups those events into meaningful visits that reflect engagement patterns and intent.

Providing both layers allows organizations to integrate the data into existing analytics pipelines, CDPs, and data warehouses without changing their existing models.

Yes, in both deployments. FocalGraph Connect integrates directly with the CDP, CRM, and activation tools you already run, delivering identity-enriched data into the systems your team uses today. FocalGraph Enterprise delivers raw events, sessions, and resolved identities as structured files to cloud storage, data lakes, or warehouses — letting your engineering and data teams consume the data however your architecture requires. In both cases, you maintain full control over downstream processing, modeling, and activation.

It depends on your deployment. FocalGraph Connect delivers identity and session data into your existing CDP and downstream tools, using their native integration paths. FocalGraph Enterprise delivers structured files directly to your cloud object storage — Amazon S3, Google Cloud Storage, or Azure Blob Storage — for ingestion into your data warehouse, lake, or analytics platform. Delivery can be configured across multiple environments, domains, or sources as needed.

Most implementations start with adding a lightweight collection tag or pixel to the website. Once behavioral data begins flowing, sessionization and identity resolution are handled automatically by FocalGraph.

Many organizations begin receiving usable event and session data within days, with identity-enriched insights improving as more behavioral data is collected.

No. FocalGraph is designed to complement existing data pipelines rather than replace them. Raw events, sessionized data, and identity-resolution outputs can be consumed alongside existing models or incorporated into your current data architecture as needed.

Organizations typically see improvements in the volume and quality of identity-aware behavioral data feeding their existing platforms. This often leads to stronger attribution, better audience activation, and improved measurement of marketing and product performance.