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Revision System

This article details how our Revision System empowers enterprise AdOps teams with a powerful, version-controlled approach to change management, ensuring updates are methodically evaluated and safely deployed.

What is the Revision System?
Rather than forcing AdOps teams to directly overwrite or edit the current live configuration, the platform utilizes a strict version-controlled approach.
 
Whenever an update or optimization is needed, you create a "revision"—a completely new, isolated version of your setup. This process perfectly preserves the integrity of your original, live configuration. Because each revision is stored separately, your team can build, tweak, and prepare new setups in a safe environment without immediately affecting your live traffic.
 
Precision with the Built-In Comparison Tool
When collaborating across large teams, understanding exactly what is changing from one version to the next is critical. To support this, the platform includes a built-in Comparison Tool (Diff Tool).
 
This tool allows you to compare the current product version against any future revisions with absolute precision. It highlights the exact differences in a clear, structured way, utilizing JSON to show line-by-line additions, deletions, or modifications before the new tags are generated.
 
The Strategic Enterprise Advantage
Implementing a version-controlled environment transforms how publishers handle programmatic optimizations:
  • Risk Reduction: By separating the drafting of configurations from the live environment, you drastically reduce the chance of deploying accidental errors, ensuring greater control over your ad stack.
  • Methodical Evaluation: The system empowers your teams to review and understand the full impact of proposed changes comprehensively before ever clicking "Go Live".
  • Seamless A/B Testing: The Revision System is the foundation for safe experimentation. Before rolling out a new revision globally, you can seamlessly link it to an A/B Test, allowing you to measure the exact impact of the new configuration on key metrics (like RPM or viewability) and make data-driven decisions with total confidence.