Create a shared data dictionary
Align all the teams in your company around a single data dictionary.
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 making decisions with clean 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.
Trusted by startups and the world's largest companies
“Until we started standardizing our data, people didn’t realize how messy it had become. With Protocols, we can be confident that data quality issues don’t happen anymore.”
Colin FurlongData Operations & Tracking
Reduction in duplicate or extraneous tracked events