Avo
UnclaimedGuarantee event data quality upstream, ensuring every event is defined, implemented, and trusted.
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TL;DR - Avo
- Ensures high-quality event data from design to implementation.
- Streamlines tracking plan design, review, and validation processes.
- Provides real-time monitoring to catch data drift and errors in production.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Significantly reduces time to align data collection across teams (e.g., from months to a week).
- Improves data quality and reliability by catching errors upstream.
- Empowers product teams to define tracking while maintaining data governance.
- Provides a single source of truth for event data definitions.
- Offers flexible plans suitable for various team sizes and data maturity levels.
Cons
- Advanced features like automated required reviews and enforceable standards are only available in higher-tier plans.
- The pricing for additional editors in the 'Team' plan can add up for larger teams.
- Requires integration into existing data stacks, which might have an initial setup overhead.
Key Features
Collaborative tracking plan designAutomated review and approval workflowsReal-time implementation validation and error detectionContinuous tracking plan auditingConfigurable data design guardrailsBranched workflows for parallel tracking plan changesSchema sync to downstream schema registriesVisual event triggers with product screenshots
Pricing Plans
Free
$0
- 2 editors
- Unlimited comment seats
- 5 stakeholder domains
- 100k events observed in Inspector
- Codegen included for editors
- Schema sync to 1 downstream schema registry
Team
$250/m billed annually
- 5 editors
- Unlimited stakeholder teams
- Approval workflows and branch audits
- Stakeholder impact visibility for branch changes
- Advanced data design functionality
- More Inspector volume available
- Access to Implementer seats for non-editors
- Schema sync to up to 5 downstream schema registries
Enterprise
Contact us
- Enforceable admin and stakeholder approvals
- Automated required reviews
- Enforceable data design standards
- 1M events observed in Inspector
- Schema sync to your entire stack
- Enterprise-grade security
- SSO
- Premium support
About Avo
By Toolradar Team·
This product provides a comprehensive platform for managing and ensuring the quality of event data across an organization. It helps teams design, review, implement, and monitor tracking plans to ensure data accuracy and consistency from the source. By offering a guided, visual way to define tracking and automating review workflows, it streamlines data governance without burdening data teams.
The tool is designed for data-driven teams, from startups to large enterprises, who need to move beyond ad-hoc data collection to a structured, reliable event data foundation. It benefits product managers, data analysts, and engineers by providing a single source of truth for tracking plans, enforcing data standards, and catching implementation errors early, ultimately leading to more trustworthy data for analytics and decision-making.
How we evaluate tools →Source: avo.app
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Avo FAQ
What is Avo?
Avo is a platform that guarantees event data quality upstream by providing tools to design, review, implement, and monitor tracking plans. It ensures that event data is correctly defined, reliably implemented, and trusted across all teams and platforms.
How much does Avo cost?
Avo offers a Free plan for startups and small teams. The Team plan costs $250/month (billed annually) or $300/month (billed monthly) for 5 editors, with additional editors at $50-$60/month. An Enterprise plan is available with custom pricing.
Is Avo free?
Yes, Avo offers a Free plan that includes 2 editors, unlimited comment seats, 5 stakeholder domains, 100k events observed in Inspector, and Codegen for editors.
Who is Avo for?
Avo is for startups, scaleups, and large organizations that are data-driven and need to ensure high-quality, consistent event data. It's particularly useful for product managers, data analysts, data engineers, and anyone involved in defining, implementing, or consuming product analytics data.
Source: avo.app