Avo

Avo is a product data governance platform designed to help product, analytics, and engineering teams plan, implement, and monitor tracking across apps and websites. By moving tracking plans out of spreadsheets into a collaborative schema management workflow, it provides a single source of truth for event data definitions.

Built for growth-stage and enterprise organisations, Avo standardizes event naming conventions, property definitions, and PII classifications across multiple brands and platforms. The platform supports human contributors alongside AI coding agents, ensuring automated code changes adhere to established data standards.

Teams use branched workflows to draft tracking updates, request stakeholder reviews, and generate type-safe code snippets or instructions for engineers. Built-in observability features continuously monitor production data streams to detect implementation errors or schema drift.

Key features

• Visual data design: Plan tracking events, properties, and user journeys directly within a visual workflow using standardized naming rules and schema guardrails.
• Branching and approvals: Create isolated branches to draft tracking changes and automatically assign reviews to required data or product stakeholders.
• Type-safe codegen: Generate type-safe code snippets and SDK code to guide developers or AI agents during analytics implementation.
• Avo Inspector: Observe live event streams across analytics SDKs, CDPs, and tag managers to flag implementation drift and schema discrepancies.
• PII classification: Declare PII types on tracking properties to enforce consent compliance before instrumentation reaches production.
• Schema sync and publishing: Automatically sync tracking plans with downstream analytics tools, CDPs, and schema registries such as Amplitude, Segment, and Mixpanel.