Protect the integrity of your data and your decisions.
You can’t make informed decisions if you don’t trust your underlying data. But without tools to proactively identify tracking issues, your company almost certainly wastes time cleaning up data just to make it useful. With Protocols, you can be confident your data is accurate in all the tools you use.
Keep your teammates in sync with a shared data dictionary
Diagnose data quality issues with actionable reports and alerts
Lock your spec to keep the data in your marketing tools and warehouses clean
Quickly create a single source of truth for customer data
Upload your implementation spec via an API or a spreadsheet to create a living Tracking Plan. Align your business teams on which events you collect, what they mean, and the business metrics they drive.
Standardize customer data across channels and platforms
Comparing user behavior across channels requires consistent and accurate data. Tracking Plans can be applied to multiple data sources for consistent implementation across your website, apps, and servers.
Automate the QA process
Manually testing your tracking code is time consuming and doesn’t always catch every incorrect property or data type. With automatic Data Validation, you can audit your implementation in minutes.
Have confidence in your data
Most companies detect issues after their team has used bad data to make decisions or trigger campaigns. Quickly take action on every invalid and unplanned event with in-app reporting and daily email digests.
Block bad data at the source
You can lock your Tracking Plan to automatically block unplanned events from being sent to your warehouse or marketing tools. You can either permanently discard this data or route it to an isolated database.
Identify and resolve errors during implementation
Engineers don’t get the feedback they need to detect issues during implementation. Protocols lets you pull data from your Tracking Plan directly into your code editor for validation as you code.
Business Intelligence Analyst
Learn how you can protect the integrity of your data and the decisions you make with it.