Segment Protocols

What is Protocols?

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.

• Align. Keep your teammates in sync with a shared data dictionary
• Validate. Diagnose data quality issues with actionable reports and alerts
• Enforce. Lock your spec to block bad data at the source
• Transform. Resolve data quality issues at the source or per destination

Standardize data collection 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. Diagnose data quality issues 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 event with in-app reporting and daily email digests. Defend against rogue events 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. Transform events without code Fix data quality issues at the source Transform event payloads to improve event naming consistency, reduce Tracking Plan violations, and improve your data quality. Customize events per destination Create destination-specific transformations to eliminate property name replication, consolidate events, and improve destination deliverability.