The question this workflow owns
How can an operator move from an aggregate traffic signal to the measured visitor journey without overstating identity or collecting evidence without a defined purpose? This page is written for fraud investigators, paid-media and analytics teams, privacy owners, agencies, support teams, and buyers evaluating journey-level evidence. Its owner is website-scoped identity, measured journey, event provenance, privacy-safe recording, and investigation access, so adjacent product surfaces can reference the result without silently changing its meaning or authority.
The supported decision is whether the measured visitor or session evidence is sufficient for a defined investigation question, requires more context, remains unavailable or incomplete, or supports a policy-governed next step. That decision remains qualified by the selected property or client, eligible population, time window, filters, definitions, coverage, freshness, permissions, and evidence available when the workflow runs.
- Workflow owner: website-scoped identity, measured journey, event provenance, privacy-safe recording, and investigation access
- Audience: fraud investigators, paid-media and analytics teams, privacy owners, agencies, support teams, and buyers evaluating journey-level evidence
- Supported decision: the measured visitor or session evidence is sufficient for a defined investigation question, requires more context, remains unavailable or incomplete, or supports a policy-governed next step
Inputs retain their original meaning
Inputs include permitted website-scoped anonymous identifiers, acquisition context, page and interaction events, sessions, recording references, conversion and lead occurrences, consent state, identity links, tracking health, risk assessments, customer or CRM feedback, and correction history. An observed event, calculated metric, inferred relationship, customer-provided field, provider-reported state, and human decision are different evidence types. The workflow records which type produced each value instead of flattening all of them into a generic fact.
The timeline distinguishes observed website events, calculated sessions and metrics, inferred or approved identity relationships, customer or CRM fields, provider facts, operator decisions, recording availability, masking, sampling, and later corrections. Source identity, event time, ingestion time, calculation time, definition or model version, eligible scope, confidence, coverage, freshness, and correction history travel with the result wherever the interface presents it.
Boundaries remain visible
A visitor identifier is not automatically a known person, device, household, account, lead, customer, or cross-site identity; a recording is measured event evidence rather than a complete reproduction of human intent. This distinction prevents collection from being treated as acceptance, a signal as confirmation, a recommendation as execution, an attempt as provider application, or an applied state as a verified business result.
When a required input, permission, provider capability, identity link, outcome, or correction path is missing, the method narrows the supported result or returns unavailable, incomplete, unclassified, needs-review, failed, expired, or unknown. It does not replace missing evidence with an authoritative-looking estimate.