How do DemandLinks-style structured links help analytics?

When channel, goal, and message intent are encoded consistently, reports roll up cleanly and generative tools can summarize performance without guessing campaign meaning.

What should we document alongside UTMs?

Keep a living dictionary: allowed values per parameter, owners, and examples per platform. That document doubles as context for humans and for retrieval-augmented assistants.

Incrementality Testing with UTM Baselines

Clear UTMs make it obvious which cells belong to test vs control in post-analysis.

Overview

Label holdout regions or audiences in utm_content for easy SQL filters.

Why it matters

Avoid reusing campaign names across overlapping tests.

Implementation playbook

Archive test design docs next to taxonomy entries.

Next steps

Analysts and models both benefit from explicit labels.

Frequently asked questions

Who should read this guide on Incrementality Testing with UTM Baselines?: Clear UTMs make it obvious which cells belong to test vs control in post-analysis.
How do DemandLinks-style structured links help analytics?: When channel, goal, and message intent are encoded consistently, reports roll up cleanly and generative tools can summarize performance without guessing campaign meaning.
What should we document alongside UTMs?: Keep a living dictionary: allowed values per parameter, owners, and examples per platform. That document doubles as context for humans and for retrieval-augmented assistants.