The job this surface owns
Conversion Intelligence is designed for analytics, growth, paid-media, revenue, and fraud teams that need one governed conversion occurrence without collapsing attribution, qualification, risk, and value. Its primary record is a canonical conversion occurrence linked to source events, deduplication, counting rules, attribution views, qualification, reconciliation, value, and risk context. That focus matters because a useful operating surface should answer a specific question before it asks a team to act. Here, the question is whether an occurrence is validly measured, counted for a defined metric, qualified for a business purpose, reconciled with external systems, or ready for downstream review. The answer stays attached to the evidence and scope that produced it.
Conversion results retain property, conversion definition and version, occurrence time, counting window, currency, deduplication, attribution model, eligibility, and reconciliation state. That scope travels with summaries, filters, exports, and follow-up links so a number is not separated from the population it describes. When the required evidence is absent, the interface should say that the answer is unavailable or incomplete instead of replacing it with an estimate that looks authoritative.
- Primary record: a canonical conversion occurrence linked to source events, deduplication, counting rules, attribution views, qualification, reconciliation, value, and risk context
- Decision supported: an occurrence is validly measured, counted for a defined metric, qualified for a business purpose, reconciled with external systems, or ready for downstream review
- Designed for: analytics, growth, paid-media, revenue, and fraud teams that need one governed conversion occurrence without collapsing attribution, qualification, risk, and value
A deliberate evidence boundary
A conversion event, canonical occurrence, counted conversion, qualified conversion, attributed conversion, provider conversion, and revenue record are related but not interchangeable facts. ClickGuardIQ preserves this distinction because a high-risk signal, an unusual pattern, a tracking defect, and confirmed invalid activity are not interchangeable findings. Each can change what an investigator checks next, but none should silently inherit the certainty of another.
The occurrence history preserves source events, deduplication choices, definition changes, attribution versions, qualification decisions, and external reconciliation rather than overwriting the latest total. The operating record keeps source observations, calculated signals, human notes, decisions, provider responses, and verified outcomes attributable. Corrections create a history rather than rewriting the earlier state, which keeps later reporting and review understandable.
How it fits daily work
Browser events, server events, provider imports, CRM outcomes, refunds, value corrections, and attribution recalculations may settle at different times. This prevents a recent partial stream from being compared casually with a completed historical period. It also gives an operator a direct route to the underlying visitor, session, incident, conversion, lead, campaign, integration, or delivery record when more detail is justified.
Conversion values, customer identifiers, CRM context, exports, corrections, and optimization delivery follow website, role, purpose, and integration boundaries. Access is therefore part of the product model, not an afterthought. Sensitive evidence, exports, provider actions, and administrative changes should remain limited to the appropriate website, client, role, and purpose, with an audit trail that explains who did what and when.