Marketing Lifecycle Quality

Summary

Lifecycle quality checks ensure marketing facts are complete enough to trust before they drive analytics, automation, or executive summaries.

Problem

Published facts can be technically valid while still missing important transitions, exposures, deliveries, or provider events.

Principle

Treat lifecycle publication quality as a first-class operational signal with jobs, queries, and console visibility.

Platform Shape

Lifecycle publication and quality-query services support validation jobs and console quality signals. The checks protect the contract between marketing runtime state and analytics-serving products.

Source Evidence

• services/marketing/analytics/lifecycle_publication.py
• services/marketing/analytics/lifecycle_publication_quality_queries.py
• jobs/marketing/validate_lifecycle_quality
• services/marketing/console/insights/quality_signals.py

Related Reading

• docs/engineering/concepts/freshness-and-data-ready-checks.md
• docs/engineering/concepts/run-artifacts-and-observability.md